id	sid	tid	token	lemma	pos
ap-9725	1	1	acta	acta	PROPN
ap-9725	1	2	polytechnica	polytechnica	PROPN
ap-9725	1	3	https://doi.org/10.14311/ap.2025.65.0306	https://doi.org/10.14311/ap.2025.65.0306	PROPN
ap-9725	1	4	acta	acta	PROPN
ap-9725	1	5	polytechnica	polytechnica	PROPN
ap-9725	1	6	65(3):306–319	65(3):306–319	PROPN
ap-9725	1	7	,	,	PUNCT
ap-9725	1	8	2025	2025	NUM
ap-9725	1	9	©	©	ADP
ap-9725	1	10	2025	2025	NUM
ap-9725	1	11	the	the	DET
ap-9725	1	12	author(s	author(s	NOUN
ap-9725	1	13	)	)	PUNCT
ap-9725	1	14	.	.	PUNCT
ap-9725	2	1	licensed	license	VERB
ap-9725	2	2	under	under	ADP
ap-9725	2	3	a	a	DET
ap-9725	2	4	cc	cc	NOUN
ap-9725	2	5	-	-	PUNCT
ap-9725	2	6	by	by	ADP
ap-9725	2	7	4.0	4.0	NUM
ap-9725	2	8	licence	licence	NOUN
ap-9725	2	9	published	publish	VERB
ap-9725	2	10	by	by	ADP
ap-9725	2	11	the	the	DET
ap-9725	2	12	czech	czech	PROPN
ap-9725	2	13	technical	technical	PROPN
ap-9725	2	14	university	university	PROPN
ap-9725	2	15	in	in	ADP
ap-9725	2	16	prague	prague	PROPN
ap-9725	2	17	temporal	temporal	ADJ
ap-9725	2	18	fusion	fusion	NOUN
ap-9725	2	19	strategy	strategy	NOUN
ap-9725	2	20	for	for	ADP
ap-9725	2	21	violence	violence	NOUN
ap-9725	2	22	detection	detection	NOUN
ap-9725	2	23	:	:	PUNCT
ap-9725	2	24	utilising	utilise	VERB
ap-9725	2	25	convolutional	convolutional	ADJ
ap-9725	2	26	and	and	CCONJ
ap-9725	2	27	lstm	lstm	ADJ
ap-9725	2	28	neural	neural	ADJ
ap-9725	2	29	networks	network	NOUN
ap-9725	2	30	for	for	ADP
ap-9725	2	31	surveillance	surveillance	NOUN
ap-9725	2	32	videos	video	NOUN
ap-9725	2	33	khaled	khale	VERB
ap-9725	2	34	merita,∗	merita,∗	PROPN
ap-9725	2	35	,	,	PUNCT
ap-9725	2	36	mohammed	mohammed	PROPN
ap-9725	2	37	beladghama	beladghama	PROPN
ap-9725	2	38	,	,	PUNCT
ap-9725	2	39	abdelmalik	abdelmalik	NOUN
ap-9725	2	40	taleb	taleb	NOUN
ap-9725	2	41	-	-	PUNCT
ap-9725	2	42	ahmedb	ahmedb	NOUN
ap-9725	2	43	a	a	DET
ap-9725	2	44	tahri	tahri	PROPN
ap-9725	2	45	mohammed	mohammed	PROPN
ap-9725	2	46	university	university	PROPN
ap-9725	2	47	of	of	ADP
ap-9725	2	48	bechar	bechar	PROPN
ap-9725	2	49	,	,	PUNCT
ap-9725	2	50	department	department	NOUN
ap-9725	2	51	of	of	ADP
ap-9725	2	52	electrical	electrical	ADJ
ap-9725	2	53	engineering	engineering	NOUN
ap-9725	2	54	,	,	PUNCT
ap-9725	2	55	laboratory	laboratory	NOUN
ap-9725	2	56	of	of	ADP
ap-9725	2	57	tit	tit	PROPN
ap-9725	2	58	,	,	PUNCT
ap-9725	2	59	street	street	NOUN
ap-9725	2	60	of	of	ADP
ap-9725	2	61	independence	independence	NOUN
ap-9725	2	62	,	,	PUNCT
ap-9725	2	63	road	road	NOUN
ap-9725	2	64	of	of	ADP
ap-9725	2	65	kenadsa	kenadsa	PROPN
ap-9725	2	66	,	,	PUNCT
ap-9725	2	67	b.p	b.p	PROPN
ap-9725	2	68	417	417	NUM
ap-9725	2	69	,	,	PUNCT
ap-9725	2	70	08000	08000	NUM
ap-9725	2	71	bechar	bechar	PROPN
ap-9725	2	72	,	,	PUNCT
ap-9725	2	73	algeria	algeria	PROPN
ap-9725	2	74	b	b	PROPN
ap-9725	2	75	university	university	PROPN
ap-9725	2	76	of	of	ADP
ap-9725	2	77	valenciennes	valenciennes	PROPN
ap-9725	2	78	,	,	PUNCT
ap-9725	2	79	umr	umr	PROPN
ap-9725	2	80	cnrs	cnrs	NOUN
ap-9725	2	81	8520	8520	NUM
ap-9725	2	82	,	,	PUNCT
ap-9725	2	83	laboratory	laboratory	NOUN
ap-9725	2	84	of	of	ADP
ap-9725	2	85	iemn	iemn	NOUN
ap-9725	2	86	doae	doae	NOUN
ap-9725	2	87	,	,	PUNCT
ap-9725	2	88	f-59313	f-59313	ADJ
ap-9725	2	89	valenciennes	valencienne	NOUN
ap-9725	2	90	,	,	PUNCT
ap-9725	2	91	france	france	PROPN
ap-9725	2	92	∗	∗	NOUN
ap-9725	2	93	corresponding	correspond	VERB
ap-9725	2	94	author	author	NOUN
ap-9725	2	95	:	:	PUNCT
ap-9725	2	96	merit.khaled@univ-bechar.dz	merit.khaled@univ-bechar.dz	PROPN
ap-9725	2	97	abstract	abstract	NOUN
ap-9725	2	98	.	.	PUNCT
ap-9725	3	1	in	in	ADP
ap-9725	3	2	the	the	DET
ap-9725	3	3	latest	late	ADJ
ap-9725	3	4	intelligent	intelligent	ADJ
ap-9725	3	5	cities	city	NOUN
ap-9725	3	6	,	,	PUNCT
ap-9725	3	7	there	there	PRON
ap-9725	3	8	is	be	VERB
ap-9725	3	9	a	a	DET
ap-9725	3	10	pursuit	pursuit	NOUN
ap-9725	3	11	for	for	ADP
ap-9725	3	12	the	the	DET
ap-9725	3	13	utmost	utmost	ADJ
ap-9725	3	14	degree	degree	NOUN
ap-9725	3	15	of	of	ADP
ap-9725	3	16	automation	automation	NOUN
ap-9725	3	17	and	and	CCONJ
ap-9725	3	18	integration	integration	NOUN
ap-9725	3	19	of	of	ADP
ap-9725	3	20	services	service	NOUN
ap-9725	3	21	.	.	PUNCT
ap-9725	4	1	one	one	NUM
ap-9725	4	2	of	of	ADP
ap-9725	4	3	the	the	DET
ap-9725	4	4	major	major	ADJ
ap-9725	4	5	challenges	challenge	NOUN
ap-9725	4	6	in	in	ADP
ap-9725	4	7	the	the	DET
ap-9725	4	8	surveillance	surveillance	NOUN
ap-9725	4	9	industry	industry	NOUN
ap-9725	4	10	is	be	AUX
ap-9725	4	11	the	the	DET
ap-9725	4	12	need	need	NOUN
ap-9725	4	13	to	to	PART
ap-9725	4	14	automate	automate	VERB
ap-9725	4	15	real	real	ADJ
ap-9725	4	16	-	-	PUNCT
ap-9725	4	17	time	time	NOUN
ap-9725	4	18	video	video	NOUN
ap-9725	4	19	analysis	analysis	NOUN
ap-9725	4	20	to	to	PART
ap-9725	4	21	identify	identify	VERB
ap-9725	4	22	critical	critical	ADJ
ap-9725	4	23	cases	case	NOUN
ap-9725	4	24	.	.	PUNCT
ap-9725	5	1	this	this	DET
ap-9725	5	2	paper	paper	NOUN
ap-9725	5	3	introduces	introduce	VERB
ap-9725	5	4	sophisticated	sophisticated	ADJ
ap-9725	5	5	models	model	NOUN
ap-9725	5	6	using	use	VERB
ap-9725	5	7	convolutional	convolutional	ADJ
ap-9725	5	8	neural	neural	ADJ
ap-9725	5	9	networks	network	NOUN
ap-9725	5	10	(	(	PUNCT
ap-9725	5	11	cnn	cnn	PROPN
ap-9725	5	12	)	)	PUNCT
ap-9725	5	13	,	,	PUNCT
ap-9725	5	14	specifically	specifically	ADV
ap-9725	5	15	mobilenet	mobilenet	PROPN
ap-9725	5	16	v3	v3	PROPN
ap-9725	5	17	,	,	PUNCT
ap-9725	5	18	vgg16	vgg16	PROPN
ap-9725	5	19	,	,	PUNCT
ap-9725	5	20	and	and	CCONJ
ap-9725	5	21	inceptionv3	inceptionv3	NOUN
ap-9725	5	22	networks	network	NOUN
ap-9725	5	23	,	,	PUNCT
ap-9725	5	24	as	as	ADV
ap-9725	5	25	well	well	ADV
ap-9725	5	26	as	as	ADP
ap-9725	5	27	networks	network	NOUN
ap-9725	5	28	using	use	VERB
ap-9725	5	29	lstm	lstm	NOUN
ap-9725	5	30	and	and	CCONJ
ap-9725	5	31	feedforward	feedforward	NOUN
ap-9725	5	32	networks	network	NOUN
ap-9725	5	33	.	.	PUNCT
ap-9725	6	1	these	these	DET
ap-9725	6	2	models	model	NOUN
ap-9725	6	3	are	be	AUX
ap-9725	6	4	designed	design	VERB
ap-9725	6	5	to	to	PART
ap-9725	6	6	accurately	accurately	ADV
ap-9725	6	7	categorise	categorise	VERB
ap-9725	6	8	videos	video	NOUN
ap-9725	6	9	into	into	ADP
ap-9725	6	10	two	two	NUM
ap-9725	6	11	completely	completely	ADV
ap-9725	6	12	separate	separate	ADJ
ap-9725	6	13	classes	class	NOUN
ap-9725	6	14	,	,	PUNCT
ap-9725	6	15	namely	namely	ADV
ap-9725	6	16	:	:	PUNCT
ap-9725	6	17	(	(	PUNCT
ap-9725	6	18	“	"	PUNCT
ap-9725	6	19	non	non	ADJ
ap-9725	6	20	-	-	NOUN
ap-9725	6	21	violence	violence	NOUN
ap-9725	6	22	”	"	PUNCT
ap-9725	6	23	and	and	CCONJ
ap-9725	6	24	“	"	PUNCT
ap-9725	6	25	violence	violence	NOUN
ap-9725	6	26	”	"	PUNCT
ap-9725	6	27	)	)	PUNCT
ap-9725	6	28	.	.	PUNCT
ap-9725	7	1	the	the	DET
ap-9725	7	2	rlvs	rlvs	ADJ
ap-9725	7	3	database	database	NOUN
ap-9725	7	4	is	be	AUX
ap-9725	7	5	used	use	VERB
ap-9725	7	6	for	for	ADP
ap-9725	7	7	this	this	DET
ap-9725	7	8	classification	classification	NOUN
ap-9725	7	9	task	task	NOUN
ap-9725	7	10	.	.	PUNCT
ap-9725	8	1	various	various	ADJ
ap-9725	8	2	data	datum	NOUN
ap-9725	8	3	representations	representation	NOUN
ap-9725	8	4	are	be	AUX
ap-9725	8	5	used	use	VERB
ap-9725	8	6	by	by	ADP
ap-9725	8	7	temporal	temporal	ADJ
ap-9725	8	8	fusion	fusion	NOUN
ap-9725	8	9	approaches	approach	NOUN
ap-9725	8	10	.	.	PUNCT
ap-9725	9	1	the	the	DET
ap-9725	9	2	highest	high	ADJ
ap-9725	9	3	attained	attain	VERB
ap-9725	9	4	outcome	outcome	NOUN
ap-9725	9	5	was	be	AUX
ap-9725	9	6	an	an	DET
ap-9725	9	7	accuracy	accuracy	NOUN
ap-9725	9	8	of	of	ADP
ap-9725	9	9	91.03	91.03	NUM
ap-9725	9	10	%	%	NOUN
ap-9725	9	11	,	,	PUNCT
ap-9725	9	12	and	and	CCONJ
ap-9725	9	13	an	an	DET
ap-9725	9	14	f1	f1	NOUN
ap-9725	9	15	-	-	PUNCT
ap-9725	9	16	score	score	NOUN
ap-9725	9	17	of	of	ADP
ap-9725	9	18	90.90	90.90	NUM
ap-9725	9	19	%	%	NOUN
ap-9725	9	20	,	,	PUNCT
ap-9725	9	21	which	which	PRON
ap-9725	9	22	is	be	AUX
ap-9725	9	23	superior	superior	ADJ
ap-9725	9	24	to	to	ADP
ap-9725	9	25	the	the	DET
ap-9725	9	26	results	result	NOUN
ap-9725	9	27	obtained	obtain	VERB
ap-9725	9	28	in	in	ADP
ap-9725	9	29	similar	similar	ADJ
ap-9725	9	30	research	research	NOUN
ap-9725	9	31	performed	perform	VERB
ap-9725	9	32	on	on	ADP
ap-9725	9	33	the	the	DET
ap-9725	9	34	same	same	ADJ
ap-9725	9	35	database	database	NOUN
ap-9725	9	36	for	for	ADP
ap-9725	9	37	achieving	achieve	VERB
ap-9725	9	38	the	the	DET
ap-9725	9	39	goal	goal	NOUN
ap-9725	9	40	of	of	ADP
ap-9725	9	41	recognising	recognise	VERB
ap-9725	9	42	actions	action	NOUN
ap-9725	9	43	that	that	PRON
ap-9725	9	44	are	be	AUX
ap-9725	9	45	violent	violent	ADJ
ap-9725	9	46	in	in	ADP
ap-9725	9	47	surveillance	surveillance	NOUN
ap-9725	9	48	videos	video	NOUN
ap-9725	9	49	.	.	PUNCT
ap-9725	10	1	keywords	keyword	NOUN
ap-9725	10	2	:	:	PUNCT
ap-9725	10	3	deep	deep	ADJ
ap-9725	10	4	learning	learning	NOUN
ap-9725	10	5	,	,	PUNCT
ap-9725	10	6	efficient	efficient	ADJ
ap-9725	10	7	violence	violence	NOUN
ap-9725	10	8	detection	detection	NOUN
ap-9725	10	9	,	,	PUNCT
ap-9725	10	10	temporal	temporal	ADJ
ap-9725	10	11	fusion	fusion	NOUN
ap-9725	10	12	,	,	PUNCT
ap-9725	10	13	lstm	lstm	NOUN
ap-9725	10	14	,	,	PUNCT
ap-9725	10	15	automated	automate	VERB
ap-9725	10	16	video	video	NOUN
ap-9725	10	17	surveillance	surveillance	NOUN
ap-9725	10	18	,	,	PUNCT
ap-9725	10	19	intelligent	intelligent	ADJ
ap-9725	10	20	cities	city	NOUN
ap-9725	10	21	,	,	PUNCT
ap-9725	10	22	video	video	NOUN
ap-9725	10	23	recognition	recognition	NOUN
ap-9725	10	24	.	.	PUNCT
ap-9725	11	1	1	1	X
ap-9725	11	2	.	.	X
ap-9725	11	3	introduction	introduction	NOUN
ap-9725	11	4	the	the	DET
ap-9725	11	5	modernisation	modernisation	NOUN
ap-9725	11	6	of	of	ADP
ap-9725	11	7	society	society	NOUN
ap-9725	11	8	and	and	CCONJ
ap-9725	11	9	urban	urban	PROPN
ap-9725	11	10	technologies	technology	NOUN
ap-9725	11	11	tend	tend	VERB
ap-9725	11	12	to	to	PART
ap-9725	11	13	result	result	VERB
ap-9725	11	14	in	in	ADP
ap-9725	11	15	so	so	ADV
ap-9725	11	16	-	-	PUNCT
ap-9725	11	17	called	call	VERB
ap-9725	11	18	intellectual	intellectual	ADJ
ap-9725	11	19	cities	city	NOUN
ap-9725	11	20	,	,	PUNCT
ap-9725	11	21	which	which	PRON
ap-9725	11	22	are	be	AUX
ap-9725	11	23	characterised	characterise	VERB
ap-9725	11	24	by	by	ADP
ap-9725	11	25	the	the	DET
ap-9725	11	26	capacity	capacity	NOUN
ap-9725	11	27	to	to	PART
ap-9725	11	28	implement	implement	VERB
ap-9725	11	29	communication	communication	NOUN
ap-9725	11	30	technologies	technology	NOUN
ap-9725	11	31	[	[	X
ap-9725	11	32	1	1	X
ap-9725	11	33	]	]	PUNCT
ap-9725	11	34	to	to	PART
ap-9725	11	35	provide	provide	VERB
ap-9725	11	36	the	the	DET
ap-9725	11	37	highest	high	ADJ
ap-9725	11	38	level	level	NOUN
ap-9725	11	39	of	of	ADP
ap-9725	11	40	integration	integration	NOUN
ap-9725	11	41	and	and	CCONJ
ap-9725	11	42	automation	automation	NOUN
ap-9725	11	43	of	of	ADP
ap-9725	11	44	services	service	NOUN
ap-9725	11	45	.	.	PUNCT
ap-9725	12	1	developers	developer	NOUN
ap-9725	12	2	develop	develop	VERB
ap-9725	12	3	numerous	numerous	ADJ
ap-9725	12	4	solutions	solution	NOUN
ap-9725	12	5	for	for	ADP
ap-9725	12	6	monitoring	monitor	VERB
ap-9725	12	7	environments	environment	NOUN
ap-9725	12	8	and	and	CCONJ
ap-9725	12	9	utilising	utilise	VERB
ap-9725	12	10	sensors	sensor	NOUN
ap-9725	12	11	and	and	CCONJ
ap-9725	12	12	cameras	camera	NOUN
ap-9725	12	13	,	,	PUNCT
ap-9725	12	14	among	among	ADP
ap-9725	12	15	other	other	ADJ
ap-9725	12	16	tools	tool	NOUN
ap-9725	12	17	,	,	PUNCT
ap-9725	12	18	to	to	PART
ap-9725	12	19	obtain	obtain	VERB
ap-9725	12	20	reports	report	NOUN
ap-9725	12	21	,	,	PUNCT
ap-9725	12	22	support	support	NOUN
ap-9725	12	23	decision	decision	NOUN
ap-9725	12	24	-	-	PUNCT
ap-9725	12	25	making	making	NOUN
ap-9725	12	26	,	,	PUNCT
ap-9725	12	27	and	and	CCONJ
ap-9725	12	28	take	take	VERB
ap-9725	12	29	action	action	NOUN
ap-9725	12	30	.	.	PUNCT
ap-9725	13	1	this	this	DET
ap-9725	13	2	high	high	ADJ
ap-9725	13	3	level	level	NOUN
ap-9725	13	4	of	of	ADP
ap-9725	13	5	monitoring	monitoring	NOUN
ap-9725	13	6	generates	generate	VERB
ap-9725	13	7	a	a	DET
ap-9725	13	8	large	large	ADJ
ap-9725	13	9	amount	amount	NOUN
ap-9725	13	10	of	of	ADP
ap-9725	13	11	data	datum	NOUN
ap-9725	13	12	,	,	PUNCT
ap-9725	13	13	a	a	DET
ap-9725	13	14	phenomenon	phenomenon	NOUN
ap-9725	13	15	known	know	VERB
ap-9725	13	16	as	as	ADP
ap-9725	13	17	big	big	ADJ
ap-9725	13	18	data	datum	NOUN
ap-9725	13	19	[	[	X
ap-9725	13	20	2	2	NUM
ap-9725	13	21	]	]	PUNCT
ap-9725	13	22	,	,	PUNCT
ap-9725	13	23	which	which	PRON
ap-9725	13	24	opens	open	VERB
ap-9725	13	25	space	space	NOUN
ap-9725	13	26	for	for	ADP
ap-9725	13	27	so	so	ADV
ap-9725	13	28	-	-	PUNCT
ap-9725	13	29	called	call	VERB
ap-9725	13	30	data	datum	NOUN
ap-9725	13	31	science	science	NOUN
ap-9725	13	32	to	to	PART
ap-9725	13	33	seek	seek	VERB
ap-9725	13	34	to	to	PART
ap-9725	13	35	generate	generate	VERB
ap-9725	13	36	value	value	NOUN
ap-9725	13	37	by	by	ADP
ap-9725	13	38	an	an	DET
ap-9725	13	39	intelligent	intelligent	ADJ
ap-9725	13	40	analysis	analysis	NOUN
ap-9725	13	41	of	of	ADP
ap-9725	13	42	the	the	DET
ap-9725	13	43	data	datum	NOUN
ap-9725	13	44	[	[	X
ap-9725	13	45	3	3	NUM
ap-9725	13	46	]	]	PUNCT
ap-9725	13	47	.	.	PUNCT
ap-9725	14	1	in	in	ADP
ap-9725	14	2	the	the	DET
ap-9725	14	3	search	search	NOUN
ap-9725	14	4	for	for	ADP
ap-9725	14	5	the	the	DET
ap-9725	14	6	greatest	great	ADJ
ap-9725	14	7	possible	possible	ADJ
ap-9725	14	8	automation	automation	NOUN
ap-9725	14	9	of	of	ADP
ap-9725	14	10	tasks	task	NOUN
ap-9725	14	11	,	,	PUNCT
ap-9725	14	12	intelligent	intelligent	ADJ
ap-9725	14	13	analyses	analysis	NOUN
ap-9725	14	14	of	of	ADP
ap-9725	14	15	data	datum	NOUN
ap-9725	14	16	are	be	AUX
ap-9725	14	17	carried	carry	VERB
ap-9725	14	18	out	out	ADP
ap-9725	14	19	using	use	VERB
ap-9725	14	20	machine	machine	NOUN
ap-9725	14	21	learning	learn	VERB
ap-9725	14	22	techniques	technique	NOUN
ap-9725	14	23	[	[	X
ap-9725	14	24	4	4	NUM
ap-9725	14	25	]	]	PUNCT
ap-9725	14	26	,	,	PUNCT
ap-9725	14	27	using	use	VERB
ap-9725	14	28	a	a	DET
ap-9725	14	29	large	large	ADJ
ap-9725	14	30	amount	amount	NOUN
ap-9725	14	31	of	of	ADP
ap-9725	14	32	data	datum	NOUN
ap-9725	14	33	to	to	PART
ap-9725	14	34	identify	identify	VERB
ap-9725	14	35	patterns	pattern	NOUN
ap-9725	14	36	,	,	PUNCT
ap-9725	14	37	predict	predict	VERB
ap-9725	14	38	phenomena	phenomenon	NOUN
ap-9725	14	39	,	,	PUNCT
ap-9725	14	40	etc	etc	X
ap-9725	14	41	.	.	X
ap-9725	14	42	surveillance	surveillance	NOUN
ap-9725	14	43	cameras	camera	NOUN
ap-9725	14	44	,	,	PUNCT
ap-9725	14	45	particularly	particularly	ADV
ap-9725	14	46	in	in	ADP
ap-9725	14	47	the	the	DET
ap-9725	14	48	security	security	NOUN
ap-9725	14	49	sector	sector	NOUN
ap-9725	14	50	,	,	PUNCT
ap-9725	14	51	generate	generate	VERB
ap-9725	14	52	massive	massive	ADJ
ap-9725	14	53	amounts	amount	NOUN
ap-9725	14	54	of	of	ADP
ap-9725	14	55	images	image	NOUN
ap-9725	14	56	per	per	ADP
ap-9725	14	57	second	second	NOUN
ap-9725	14	58	for	for	ADP
ap-9725	14	59	monitoring	monitoring	NOUN
ap-9725	14	60	.	.	PUNCT
ap-9725	15	1	normally	normally	ADV
ap-9725	15	2	,	,	PUNCT
ap-9725	15	3	humans	human	NOUN
ap-9725	15	4	oversee	oversee	VERB
ap-9725	15	5	these	these	DET
ap-9725	15	6	data	datum	NOUN
ap-9725	15	7	,	,	PUNCT
ap-9725	15	8	a	a	DET
ap-9725	15	9	task	task	NOUN
ap-9725	15	10	that	that	PRON
ap-9725	15	11	becomes	become	VERB
ap-9725	15	12	extremely	extremely	ADV
ap-9725	15	13	challenging	challenging	ADJ
ap-9725	15	14	due	due	ADJ
ap-9725	15	15	to	to	ADP
ap-9725	15	16	the	the	DET
ap-9725	15	17	large	large	ADJ
ap-9725	15	18	volume	volume	NOUN
ap-9725	15	19	of	of	ADP
ap-9725	15	20	data	datum	NOUN
ap-9725	15	21	generated	generate	VERB
ap-9725	15	22	in	in	ADP
ap-9725	15	23	real	real	ADJ
ap-9725	15	24	-	-	PUNCT
ap-9725	15	25	time	time	NOUN
ap-9725	15	26	by	by	ADP
ap-9725	15	27	security	security	NOUN
ap-9725	15	28	videos	video	NOUN
ap-9725	15	29	.	.	PUNCT
ap-9725	16	1	the	the	DET
ap-9725	16	2	solution	solution	NOUN
ap-9725	16	3	for	for	ADP
ap-9725	16	4	this	this	PRON
ap-9725	16	5	is	be	AUX
ap-9725	16	6	the	the	DET
ap-9725	16	7	practical	practical	ADJ
ap-9725	16	8	use	use	NOUN
ap-9725	16	9	of	of	ADP
ap-9725	16	10	deep	deep	ADJ
ap-9725	16	11	learning	learning	NOUN
ap-9725	16	12	(	(	PUNCT
ap-9725	16	13	dl	dl	NOUN
ap-9725	16	14	)	)	PUNCT
ap-9725	16	15	approaches	approach	VERB
ap-9725	16	16	[	[	X
ap-9725	16	17	5	5	NUM
ap-9725	16	18	]	]	PUNCT
ap-9725	16	19	for	for	ADP
ap-9725	16	20	the	the	DET
ap-9725	16	21	automatic	automatic	ADJ
ap-9725	16	22	processing	processing	NOUN
ap-9725	16	23	of	of	ADP
ap-9725	16	24	videos	video	NOUN
ap-9725	16	25	,	,	PUNCT
ap-9725	16	26	as	as	ADP
ap-9725	16	27	in	in	ADP
ap-9725	16	28	[	[	X
ap-9725	16	29	6	6	NUM
ap-9725	16	30	,	,	PUNCT
ap-9725	16	31	7	7	NUM
ap-9725	16	32	]	]	PUNCT
ap-9725	16	33	,	,	PUNCT
ap-9725	16	34	to	to	PART
ap-9725	16	35	identify	identify	VERB
ap-9725	16	36	,	,	PUNCT
ap-9725	16	37	for	for	ADP
ap-9725	16	38	example	example	NOUN
ap-9725	16	39	,	,	PUNCT
ap-9725	16	40	risk	risk	NOUN
ap-9725	16	41	situations	situation	NOUN
ap-9725	16	42	and/or	and/or	CCONJ
ap-9725	16	43	incidents	incident	NOUN
ap-9725	16	44	,	,	PUNCT
ap-9725	16	45	such	such	ADJ
ap-9725	16	46	as	as	ADP
ap-9725	16	47	traffic	traffic	NOUN
ap-9725	16	48	accidents	accident	NOUN
ap-9725	16	49	,	,	PUNCT
ap-9725	16	50	fire	fire	NOUN
ap-9725	16	51	,	,	PUNCT
ap-9725	16	52	robbery	robbery	NOUN
ap-9725	16	53	,	,	PUNCT
ap-9725	16	54	violence	violence	NOUN
ap-9725	16	55	and	and	CCONJ
ap-9725	16	56	indecent	indecent	ADJ
ap-9725	16	57	assault	assault	NOUN
ap-9725	16	58	.	.	PUNCT
ap-9725	17	1	there	there	PRON
ap-9725	17	2	is	be	VERB
ap-9725	17	3	a	a	DET
ap-9725	17	4	need	need	NOUN
ap-9725	17	5	for	for	ADP
ap-9725	17	6	a	a	DET
ap-9725	17	7	more	more	ADV
ap-9725	17	8	efficient	efficient	ADJ
ap-9725	17	9	form	form	NOUN
ap-9725	17	10	of	of	ADP
ap-9725	17	11	analysis	analysis	NOUN
ap-9725	17	12	in	in	ADP
ap-9725	17	13	the	the	DET
ap-9725	17	14	surveillance	surveillance	NOUN
ap-9725	17	15	camera	camera	NOUN
ap-9725	17	16	monitoring	monitoring	NOUN
ap-9725	17	17	system	system	NOUN
ap-9725	17	18	.	.	PUNCT
ap-9725	18	1	human	human	ADJ
ap-9725	18	2	analysis	analysis	NOUN
ap-9725	18	3	can	can	AUX
ap-9725	18	4	be	be	AUX
ap-9725	18	5	inaccurate	inaccurate	ADJ
ap-9725	18	6	and	and	CCONJ
ap-9725	18	7	not	not	PART
ap-9725	18	8	fast	fast	VERB
ap-9725	18	9	enough	enough	ADV
ap-9725	18	10	to	to	PART
ap-9725	18	11	generate	generate	VERB
ap-9725	18	12	immediate	immediate	ADJ
ap-9725	18	13	action	action	NOUN
ap-9725	18	14	.	.	PUNCT
ap-9725	19	1	it	it	PRON
ap-9725	19	2	is	be	AUX
ap-9725	19	3	proposed	propose	VERB
ap-9725	19	4	,	,	PUNCT
ap-9725	19	5	then	then	ADV
ap-9725	19	6	,	,	PUNCT
ap-9725	19	7	a	a	DET
ap-9725	19	8	system	system	NOUN
ap-9725	19	9	that	that	PRON
ap-9725	19	10	automatically	automatically	ADV
ap-9725	19	11	analyses	analyse	VERB
ap-9725	19	12	a	a	DET
ap-9725	19	13	video	video	NOUN
ap-9725	19	14	,	,	PUNCT
ap-9725	19	15	can	can	AUX
ap-9725	19	16	identify	identify	VERB
ap-9725	19	17	a	a	DET
ap-9725	19	18	violent	violent	ADJ
ap-9725	19	19	situation	situation	NOUN
ap-9725	19	20	,	,	PUNCT
ap-9725	19	21	and	and	CCONJ
ap-9725	19	22	,	,	PUNCT
ap-9725	19	23	in	in	ADP
ap-9725	19	24	a	a	DET
ap-9725	19	25	much	much	ADV
ap-9725	19	26	more	more	ADV
ap-9725	19	27	agile	agile	ADJ
ap-9725	19	28	way	way	NOUN
ap-9725	19	29	,	,	PUNCT
ap-9725	19	30	supports	support	VERB
ap-9725	19	31	decision	decision	NOUN
ap-9725	19	32	-	-	PUNCT
ap-9725	19	33	making	making	NOUN
ap-9725	19	34	and	and	CCONJ
ap-9725	19	35	action	action	NOUN
ap-9725	19	36	.	.	PUNCT
ap-9725	20	1	environments	environment	NOUN
ap-9725	20	2	that	that	PRON
ap-9725	20	3	require	require	VERB
ap-9725	20	4	strong	strong	ADJ
ap-9725	20	5	monitoring	monitoring	NOUN
ap-9725	20	6	,	,	PUNCT
ap-9725	20	7	such	such	ADJ
ap-9725	20	8	as	as	ADP
ap-9725	20	9	public	public	ADJ
ap-9725	20	10	roads	road	NOUN
ap-9725	20	11	,	,	PUNCT
ap-9725	20	12	shopping	shopping	NOUN
ap-9725	20	13	malls	mall	NOUN
ap-9725	20	14	,	,	PUNCT
ap-9725	20	15	metro	metro	NOUN
ap-9725	20	16	stations	station	NOUN
ap-9725	20	17	,	,	PUNCT
ap-9725	20	18	and	and	CCONJ
ap-9725	20	19	penitentiaries	penitentiary	NOUN
ap-9725	20	20	,	,	PUNCT
ap-9725	20	21	can	can	AUX
ap-9725	20	22	greatly	greatly	ADV
ap-9725	20	23	benefit	benefit	VERB
ap-9725	20	24	from	from	ADP
ap-9725	20	25	this	this	DET
ap-9725	20	26	application	application	NOUN
ap-9725	20	27	.	.	PUNCT
ap-9725	21	1	once	once	SCONJ
ap-9725	21	2	it	it	PRON
ap-9725	21	3	identifies	identify	VERB
ap-9725	21	4	a	a	DET
ap-9725	21	5	violent	violent	ADJ
ap-9725	21	6	incident	incident	NOUN
ap-9725	21	7	,	,	PUNCT
ap-9725	21	8	it	it	PRON
ap-9725	21	9	can	can	AUX
ap-9725	21	10	immediately	immediately	ADV
ap-9725	21	11	activate	activate	VERB
ap-9725	21	12	responsible	responsible	ADJ
ap-9725	21	13	entities	entity	NOUN
ap-9725	21	14	,	,	PUNCT
ap-9725	21	15	thereby	thereby	ADV
ap-9725	21	16	preventing	prevent	VERB
ap-9725	21	17	escalations	escalation	NOUN
ap-9725	21	18	of	of	ADP
ap-9725	21	19	these	these	DET
ap-9725	21	20	incidents	incident	NOUN
ap-9725	21	21	.	.	PUNCT
ap-9725	22	1	for	for	ADP
ap-9725	22	2	the	the	DET
ap-9725	22	3	problem	problem	NOUN
ap-9725	22	4	of	of	ADP
ap-9725	22	5	violence	violence	NOUN
ap-9725	22	6	detection	detection	NOUN
ap-9725	22	7	in	in	ADP
ap-9725	22	8	videos	video	NOUN
ap-9725	22	9	,	,	PUNCT
ap-9725	22	10	[	[	X
ap-9725	22	11	8	8	NUM
ap-9725	22	12	]	]	PUNCT
ap-9725	22	13	presents	present	VERB
ap-9725	22	14	a	a	DET
ap-9725	22	15	solution	solution	NOUN
ap-9725	22	16	based	base	VERB
ap-9725	22	17	on	on	ADP
ap-9725	22	18	neural	neural	ADJ
ap-9725	22	19	networks	network	NOUN
ap-9725	22	20	,	,	PUNCT
ap-9725	22	21	both	both	CCONJ
ap-9725	22	22	convolutional	convolutional	ADJ
ap-9725	22	23	and	and	CCONJ
ap-9725	22	24	recurrent	recurrent	ADJ
ap-9725	22	25	,	,	PUNCT
ap-9725	22	26	with	with	ADP
ap-9725	22	27	results	result	NOUN
ap-9725	22	28	superior	superior	ADJ
ap-9725	22	29	to	to	ADP
ap-9725	22	30	those	those	PRON
ap-9725	22	31	in	in	ADP
ap-9725	22	32	[	[	X
ap-9725	22	33	9	9	NUM
ap-9725	22	34	,	,	PUNCT
ap-9725	22	35	10	10	NUM
ap-9725	22	36	]	]	PUNCT
ap-9725	22	37	,	,	PUNCT
ap-9725	22	38	which	which	PRON
ap-9725	22	39	use	use	VERB
ap-9725	22	40	only	only	ADV
ap-9725	22	41	convolutional	convolutional	ADJ
ap-9725	22	42	networks	network	NOUN
ap-9725	22	43	.	.	PUNCT
ap-9725	23	1	this	this	PRON
ap-9725	23	2	suggests	suggest	VERB
ap-9725	23	3	that	that	SCONJ
ap-9725	23	4	the	the	DET
ap-9725	23	5	best	good	ADJ
ap-9725	23	6	approach	approach	NOUN
ap-9725	23	7	to	to	ADP
ap-9725	23	8	the	the	DET
ap-9725	23	9	task	task	NOUN
ap-9725	23	10	in	in	ADP
ap-9725	23	11	question	question	NOUN
ap-9725	23	12	is	be	AUX
ap-9725	23	13	the	the	DET
ap-9725	23	14	joint	joint	ADJ
ap-9725	23	15	use	use	NOUN
ap-9725	23	16	of	of	ADP
ap-9725	23	17	recurrent	recurrent	ADJ
ap-9725	23	18	and	and	CCONJ
ap-9725	23	19	convolutional	convolutional	ADJ
ap-9725	23	20	networks	network	NOUN
ap-9725	23	21	.	.	PUNCT
ap-9725	24	1	this	this	DET
ap-9725	24	2	paper	paper	NOUN
ap-9725	24	3	contributes	contribute	VERB
ap-9725	24	4	by	by	ADP
ap-9725	24	5	proposing	propose	VERB
ap-9725	24	6	the	the	DET
ap-9725	24	7	use	use	NOUN
ap-9725	24	8	of	of	ADP
ap-9725	24	9	convolutional	convolutional	ADJ
ap-9725	24	10	lstm	lstm	NOUN
ap-9725	24	11	(	(	PUNCT
ap-9725	24	12	convlstm	convlstm	PROPN
ap-9725	24	13	)	)	PUNCT
ap-9725	24	14	,	,	PUNCT
ap-9725	24	15	a	a	DET
ap-9725	24	16	model	model	NOUN
ap-9725	24	17	that	that	PRON
ap-9725	24	18	combines	combine	VERB
ap-9725	24	19	convolutional	convolutional	ADJ
ap-9725	24	20	neural	neural	ADJ
ap-9725	24	21	networks	network	NOUN
ap-9725	24	22	(	(	PUNCT
ap-9725	24	23	cnns	cnns	PROPN
ap-9725	24	24	)	)	PUNCT
ap-9725	24	25	and	and	CCONJ
ap-9725	24	26	long	long	ADJ
ap-9725	24	27	short	short	ADJ
ap-9725	24	28	-	-	PUNCT
ap-9725	24	29	term	term	NOUN
ap-9725	24	30	memory	memory	NOUN
ap-9725	24	31	(	(	PUNCT
ap-9725	24	32	lstms	lstms	ADJ
ap-9725	24	33	)	)	PUNCT
ap-9725	24	34	.	.	PUNCT
ap-9725	25	1	it	it	PRON
ap-9725	25	2	also	also	ADV
ap-9725	25	3	looks	look	VERB
ap-9725	25	4	at	at	ADP
ap-9725	25	5	how	how	SCONJ
ap-9725	25	6	to	to	PART
ap-9725	25	7	use	use	VERB
ap-9725	25	8	and	and	CCONJ
ap-9725	25	9	rate	rate	NOUN
ap-9725	25	10	video	video	NOUN
ap-9725	25	11	representation	representation	NOUN
ap-9725	25	12	methods	method	NOUN
ap-9725	25	13	based	base	VERB
ap-9725	25	14	on	on	ADP
ap-9725	25	15	temporal	temporal	ADJ
ap-9725	25	16	fusion	fusion	NOUN
ap-9725	25	17	(	(	PUNCT
ap-9725	25	18	tf	tf	PROPN
ap-9725	25	19	)	)	PUNCT
ap-9725	25	20	,	,	PUNCT
ap-9725	25	21	which	which	PRON
ap-9725	25	22	worked	work	VERB
ap-9725	25	23	better	well	ADV
ap-9725	25	24	than	than	ADP
ap-9725	25	25	previous	previous	ADJ
ap-9725	25	26	research	research	NOUN
ap-9725	25	27	.	.	PUNCT
ap-9725	26	1	the	the	DET
ap-9725	26	2	structure	structure	NOUN
ap-9725	26	3	of	of	ADP
ap-9725	26	4	the	the	DET
ap-9725	26	5	present	present	ADJ
ap-9725	26	6	document	document	NOUN
ap-9725	26	7	is	be	AUX
ap-9725	26	8	as	as	SCONJ
ap-9725	26	9	follows	follow	VERB
ap-9725	26	10	:	:	PUNCT
ap-9725	26	11	the	the	DET
ap-9725	26	12	introduction	introduction	NOUN
ap-9725	26	13	is	be	AUX
ap-9725	26	14	presented	present	VERB
ap-9725	26	15	in	in	ADP
ap-9725	26	16	section	section	NOUN
ap-9725	26	17	1	1	NUM
ap-9725	26	18	.	.	PUNCT
ap-9725	26	19	section	section	NOUN
ap-9725	26	20	2	2	NUM
ap-9725	26	21	presents	present	NOUN
ap-9725	26	22	works	work	NOUN
ap-9725	26	23	related	relate	VERB
ap-9725	26	24	to	to	ADP
ap-9725	26	25	the	the	DET
ap-9725	26	26	context	context	NOUN
ap-9725	26	27	;	;	PUNCT
ap-9725	26	28	section	section	NOUN
ap-9725	26	29	3	3	NUM
ap-9725	26	30	explains	explain	VERB
ap-9725	26	31	the	the	DET
ap-9725	26	32	materials	material	NOUN
ap-9725	26	33	and	and	CCONJ
ap-9725	26	34	methods	method	NOUN
ap-9725	26	35	used	use	VERB
ap-9725	26	36	;	;	PUNCT
ap-9725	26	37	and	and	CCONJ
ap-9725	26	38	section	section	NOUN
ap-9725	26	39	4	4	NUM
ap-9725	26	40	presents	present	NOUN
ap-9725	26	41	and	and	CCONJ
ap-9725	26	42	analyses	analyse	VERB
ap-9725	26	43	the	the	DET
ap-9725	26	44	results	result	NOUN
ap-9725	26	45	obtained	obtain	VERB
ap-9725	26	46	.	.	PUNCT
ap-9725	27	1	section	section	NOUN
ap-9725	27	2	5	5	NUM
ap-9725	27	3	presents	present	VERB
ap-9725	27	4	the	the	DET
ap-9725	27	5	conclusions	conclusion	NOUN
ap-9725	27	6	and	and	CCONJ
ap-9725	27	7	future	future	ADJ
ap-9725	27	8	work	work	NOUN
ap-9725	27	9	prospects	prospect	NOUN
ap-9725	27	10	.	.	PUNCT
ap-9725	28	1	306	306	NUM
ap-9725	28	2	https://doi.org/10.14311/ap.2025.65.0306	https://doi.org/10.14311/ap.2025.65.0306	NOUN
ap-9725	28	3	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
ap-9725	28	4	https://www.cvut.cz/en	https://www.cvut.cz/en	PROPN
ap-9725	28	5	vol	vol	NOUN
ap-9725	28	6	.	.	PROPN
ap-9725	29	1	65	65	NUM
ap-9725	29	2	no	no	NOUN
ap-9725	29	3	.	.	PUNCT
ap-9725	30	1	3/2025	3/2025	NUM
ap-9725	30	2	temporal	temporal	ADJ
ap-9725	30	3	fusion	fusion	NOUN
ap-9725	30	4	strategy	strategy	NOUN
ap-9725	30	5	for	for	ADP
ap-9725	30	6	violence	violence	NOUN
ap-9725	30	7	detection	detection	NOUN
ap-9725	30	8	.	.	PUNCT
ap-9725	30	9	.	.	PUNCT
ap-9725	30	10	.	.	PUNCT
ap-9725	31	1	dataset	dataset	VERB
ap-9725	31	2	no	no	INTJ
ap-9725	31	3	.	.	PUNCT
ap-9725	32	1	total	total	NOUN
ap-9725	32	2	of	of	ADP
ap-9725	32	3	samples	sample	NOUN
ap-9725	32	4	frames	frame	NOUN
ap-9725	32	5	resolution	resolution	NOUN
ap-9725	32	6	(	(	PUNCT
ap-9725	32	7	height	height	NOUN
ap-9725	32	8	×	×	NOUN
ap-9725	32	9	width	width	NOUN
ap-9725	32	10	)	)	PUNCT
ap-9725	32	11	non	non	ADJ
ap-9725	32	12	-	-	ADJ
ap-9725	32	13	violent	violent	ADJ
ap-9725	32	14	samples	sample	NOUN
ap-9725	32	15	(	(	PUNCT
ap-9725	32	16	nv	nv	NOUN
ap-9725	32	17	)	)	PUNCT
ap-9725	32	18	violent	violent	ADJ
ap-9725	32	19	samples	sample	NOUN
ap-9725	32	20	(	(	PUNCT
ap-9725	32	21	v	v	NOUN
ap-9725	32	22	)	)	PUNCT
ap-9725	32	23	sizeframes	sizeframe	NOUN
ap-9725	32	24	per	per	ADP
ap-9725	32	25	no	no	NOUN
ap-9725	32	26	.	.	PUNCT
ap-9725	33	1	of	of	ADP
ap-9725	33	2	frames	frame	NOUN
ap-9725	33	3	per	per	ADP
ap-9725	33	4	no	no	NOUN
ap-9725	33	5	.	.	PUNCT
ap-9725	34	1	of	of	ADP
ap-9725	34	2	second	second	ADJ
ap-9725	34	3	(	(	PUNCT
ap-9725	34	4	fps	fps	PROPN
ap-9725	34	5	)	)	PUNCT
ap-9725	34	6	samples	sample	VERB
ap-9725	34	7	second	second	ADJ
ap-9725	34	8	(	(	PUNCT
ap-9725	34	9	fps	fps	NOUN
ap-9725	34	10	)	)	PUNCT
ap-9725	34	11	samples	sample	NOUN
ap-9725	34	12	rlvs	rlvs	ADJ
ap-9725	34	13	2	2	NUM
ap-9725	34	14	000	000	NUM
ap-9725	34	15	variable	variable	NOUN
ap-9725	34	16	29.5	29.5	NUM
ap-9725	34	17	1	1	NUM
ap-9725	34	18	000	000	NUM
ap-9725	34	19	29.5	29.5	NUM
ap-9725	34	20	1	1	NUM
ap-9725	34	21	000	000	NUM
ap-9725	34	22	1.9	1.9	NUM
ap-9725	34	23	gb(224–1	gb(224–1	NUM
ap-9725	34	24	080	080	NUM
ap-9725	34	25	)	)	PUNCT
ap-9725	34	26	×	×	NOUN
ap-9725	34	27	(	(	PUNCT
ap-9725	34	28	224–1	224–1	NUM
ap-9725	34	29	920	920	NUM
ap-9725	34	30	)	)	PUNCT
ap-9725	34	31	hokey	hokey	NOUN
ap-9725	34	32	fight	fight	NOUN
ap-9725	34	33	1	1	NUM
ap-9725	34	34	000	000	NUM
ap-9725	34	35	288	288	NUM
ap-9725	34	36	×	×	NOUN
ap-9725	34	37	360	360	NUM
ap-9725	34	38	25	25	NUM
ap-9725	34	39	500	500	NUM
ap-9725	34	40	25	25	NUM
ap-9725	34	41	500	500	NUM
ap-9725	34	42	223.1	223.1	NUM
ap-9725	34	43	mb	mb	ADP
ap-9725	34	44	violent	violent	ADJ
ap-9725	34	45	flows	flow	VERB
ap-9725	34	46	246	246	NUM
ap-9725	34	47	240	240	NUM
ap-9725	34	48	×	×	NOUN
ap-9725	34	49	320	320	NUM
ap-9725	34	50	25	25	NUM
ap-9725	34	51	123	123	NUM
ap-9725	34	52	25	25	NUM
ap-9725	34	53	123	123	NUM
ap-9725	34	54	166.8	166.8	NUM
ap-9725	34	55	mb	mb	NOUN
ap-9725	34	56	action	action	NOUN
ap-9725	34	57	movies	movie	NOUN
ap-9725	34	58	73	73	NUM
ap-9725	34	59	576	576	NUM
ap-9725	34	60	×	×	NOUN
ap-9725	34	61	720	720	NUM
ap-9725	34	62	29.9	29.9	NUM
ap-9725	34	63	100	100	NUM
ap-9725	34	64	25	25	NUM
ap-9725	34	65	100	100	NUM
ap-9725	34	66	769.9	769.9	NUM
ap-9725	34	67	mb127	mb127	NOUN
ap-9725	34	68	480	480	NUM
ap-9725	34	69	×	×	NOUN
ap-9725	34	70	720	720	NUM
ap-9725	34	71	table	table	NOUN
ap-9725	34	72	1	1	NUM
ap-9725	34	73	.	.	PUNCT
ap-9725	35	1	summary	summary	NOUN
ap-9725	35	2	of	of	ADP
ap-9725	35	3	experimental	experimental	ADJ
ap-9725	35	4	datasets	dataset	NOUN
ap-9725	35	5	(	(	PUNCT
ap-9725	35	6	rlvs	rlvs	NOUN
ap-9725	35	7	,	,	PUNCT
ap-9725	35	8	hf	hf	INTJ
ap-9725	35	9	,	,	PUNCT
ap-9725	35	10	vf	vf	X
ap-9725	35	11	,	,	PUNCT
ap-9725	35	12	and	and	CCONJ
ap-9725	35	13	am	be	AUX
ap-9725	35	14	)	)	PUNCT
ap-9725	35	15	.	.	PUNCT
ap-9725	36	1	2	2	X
ap-9725	36	2	.	.	X
ap-9725	36	3	related	relate	VERB
ap-9725	36	4	work	work	NOUN
ap-9725	36	5	previous	previous	ADJ
ap-9725	36	6	researchers	researcher	NOUN
ap-9725	36	7	have	have	AUX
ap-9725	36	8	employed	employ	VERB
ap-9725	36	9	various	various	ADJ
ap-9725	36	10	methods	method	NOUN
ap-9725	36	11	,	,	PUNCT
ap-9725	36	12	including	include	VERB
ap-9725	36	13	manual	manual	ADJ
ap-9725	36	14	feature	feature	NOUN
ap-9725	36	15	extraction	extraction	NOUN
ap-9725	36	16	,	,	PUNCT
ap-9725	36	17	deep	deep	ADJ
ap-9725	36	18	learning	learning	NOUN
ap-9725	36	19	,	,	PUNCT
ap-9725	36	20	and	and	CCONJ
ap-9725	36	21	classic	classic	ADJ
ap-9725	36	22	computer	computer	NOUN
ap-9725	36	23	vision	vision	NOUN
ap-9725	36	24	methodology	methodology	NOUN
ap-9725	36	25	,	,	PUNCT
ap-9725	36	26	to	to	PART
ap-9725	36	27	recognise	recognise	VERB
ap-9725	36	28	violence	violence	NOUN
ap-9725	36	29	in	in	ADP
ap-9725	36	30	videos	video	NOUN
ap-9725	36	31	.	.	PUNCT
ap-9725	37	1	research	research	NOUN
ap-9725	37	2	indicates	indicate	VERB
ap-9725	37	3	that	that	SCONJ
ap-9725	37	4	deep	deep	ADJ
ap-9725	37	5	learning	learning	NOUN
ap-9725	37	6	approaches	approach	NOUN
ap-9725	37	7	yield	yield	VERB
ap-9725	37	8	higher	high	ADJ
ap-9725	37	9	accuracy	accuracy	NOUN
ap-9725	37	10	in	in	ADP
ap-9725	37	11	violence	violence	NOUN
ap-9725	37	12	recognition	recognition	NOUN
ap-9725	37	13	compared	compare	VERB
ap-9725	37	14	to	to	ADP
ap-9725	37	15	manual	manual	ADJ
ap-9725	37	16	methods	method	NOUN
ap-9725	37	17	.	.	PUNCT
ap-9725	38	1	deep	deep	ADJ
ap-9725	38	2	learning	learning	NOUN
ap-9725	38	3	techniques	technique	NOUN
ap-9725	38	4	,	,	PUNCT
ap-9725	38	5	notably	notably	ADV
ap-9725	38	6	cnns	cnns	ADJ
ap-9725	38	7	,	,	PUNCT
ap-9725	38	8	have	have	AUX
ap-9725	38	9	demonstrated	demonstrate	VERB
ap-9725	38	10	success	success	NOUN
ap-9725	38	11	in	in	ADP
ap-9725	38	12	research	research	NOUN
ap-9725	38	13	related	relate	VERB
ap-9725	38	14	to	to	ADP
ap-9725	38	15	computational	computational	ADJ
ap-9725	38	16	vision	vision	NOUN
ap-9725	38	17	,	,	PUNCT
ap-9725	38	18	as	as	SCONJ
ap-9725	38	19	indicated	indicate	VERB
ap-9725	38	20	by	by	ADP
ap-9725	38	21	[	[	X
ap-9725	38	22	11	11	NUM
ap-9725	38	23	]	]	PUNCT
ap-9725	38	24	.	.	PUNCT
ap-9725	39	1	for	for	ADP
ap-9725	39	2	example	example	NOUN
ap-9725	39	3	,	,	PUNCT
ap-9725	39	4	[	[	X
ap-9725	39	5	7	7	NUM
ap-9725	39	6	,	,	PUNCT
ap-9725	39	7	12	12	NUM
ap-9725	39	8	]	]	PUNCT
ap-9725	39	9	demonstrated	demonstrate	VERB
ap-9725	39	10	the	the	DET
ap-9725	39	11	widespread	widespread	ADJ
ap-9725	39	12	application	application	NOUN
ap-9725	39	13	of	of	ADP
ap-9725	39	14	cnns	cnn	NOUN
ap-9725	39	15	,	,	PUNCT
ap-9725	39	16	which	which	PRON
ap-9725	39	17	are	be	AUX
ap-9725	39	18	based	base	VERB
ap-9725	39	19	on	on	ADP
ap-9725	39	20	the	the	DET
ap-9725	39	21	human	human	ADJ
ap-9725	39	22	vision	vision	NOUN
ap-9725	39	23	system	system	NOUN
ap-9725	39	24	,	,	PUNCT
ap-9725	39	25	to	to	PART
ap-9725	39	26	image	image	VERB
ap-9725	39	27	classification	classification	NOUN
ap-9725	39	28	and	and	CCONJ
ap-9725	39	29	content	content	NOUN
ap-9725	39	30	identification	identification	NOUN
ap-9725	39	31	problems	problem	NOUN
ap-9725	39	32	.	.	PUNCT
ap-9725	40	1	numerous	numerous	ADJ
ap-9725	40	2	studies	study	NOUN
ap-9725	40	3	using	use	VERB
ap-9725	40	4	cnns	cnn	NOUN
ap-9725	40	5	for	for	ADP
ap-9725	40	6	the	the	DET
ap-9725	40	7	task	task	NOUN
ap-9725	40	8	of	of	ADP
ap-9725	40	9	detecting	detect	VERB
ap-9725	40	10	violence	violence	NOUN
ap-9725	40	11	have	have	AUX
ap-9725	40	12	been	be	AUX
ap-9725	40	13	conducted	conduct	VERB
ap-9725	40	14	.	.	PUNCT
ap-9725	41	1	in	in	ADP
ap-9725	41	2	[	[	X
ap-9725	41	3	13	13	NUM
ap-9725	41	4	]	]	PUNCT
ap-9725	41	5	,	,	PUNCT
ap-9725	41	6	the	the	DET
ap-9725	41	7	construction	construction	NOUN
ap-9725	41	8	of	of	ADP
ap-9725	41	9	convolutional	convolutional	ADJ
ap-9725	41	10	networks	network	NOUN
ap-9725	41	11	for	for	ADP
ap-9725	41	12	the	the	DET
ap-9725	41	13	binary	binary	ADJ
ap-9725	41	14	classification	classification	NOUN
ap-9725	41	15	of	of	ADP
ap-9725	41	16	violent	violent	ADJ
ap-9725	41	17	or	or	CCONJ
ap-9725	41	18	non	non	ADJ
ap-9725	41	19	-	-	ADJ
ap-9725	41	20	violent	violent	ADJ
ap-9725	41	21	incidents	incident	NOUN
ap-9725	41	22	is	be	AUX
ap-9725	41	23	presented	present	VERB
ap-9725	41	24	,	,	PUNCT
ap-9725	41	25	while	while	SCONJ
ap-9725	41	26	in	in	ADP
ap-9725	41	27	[	[	X
ap-9725	41	28	10	10	NUM
ap-9725	41	29	]	]	PUNCT
ap-9725	41	30	,	,	PUNCT
ap-9725	41	31	the	the	DET
ap-9725	41	32	authors	author	NOUN
ap-9725	41	33	propose	propose	VERB
ap-9725	41	34	solutions	solution	NOUN
ap-9725	41	35	based	base	VERB
ap-9725	41	36	on	on	ADP
ap-9725	41	37	transfer	transfer	NOUN
ap-9725	41	38	learning	learning	NOUN
ap-9725	41	39	(	(	PUNCT
ap-9725	41	40	tl	tl	PROPN
ap-9725	41	41	)	)	PUNCT
ap-9725	41	42	from	from	ADP
ap-9725	41	43	models	model	NOUN
ap-9725	41	44	,	,	PUNCT
ap-9725	41	45	also	also	ADV
ap-9725	41	46	from	from	ADP
ap-9725	41	47	cnns	cnn	NOUN
ap-9725	41	48	,	,	PUNCT
ap-9725	41	49	trained	train	VERB
ap-9725	41	50	with	with	ADP
ap-9725	41	51	the	the	DET
ap-9725	41	52	imagenet	imagenet	ADJ
ap-9725	41	53	database	database	NOUN
ap-9725	42	1	[	[	X
ap-9725	42	2	14	14	NUM
ap-9725	42	3	]	]	PUNCT
ap-9725	42	4	.	.	PUNCT
ap-9725	43	1	other	other	ADJ
ap-9725	43	2	works	work	NOUN
ap-9725	43	3	also	also	ADV
ap-9725	43	4	present	present	VERB
ap-9725	43	5	the	the	DET
ap-9725	43	6	combination	combination	NOUN
ap-9725	43	7	of	of	ADP
ap-9725	43	8	other	other	ADJ
ap-9725	43	9	models	model	NOUN
ap-9725	43	10	with	with	ADP
ap-9725	43	11	convolutional	convolutional	ADJ
ap-9725	43	12	neural	neural	ADJ
ap-9725	43	13	networks	network	NOUN
ap-9725	43	14	,	,	PUNCT
ap-9725	43	15	as	as	ADP
ap-9725	43	16	in	in	ADP
ap-9725	43	17	the	the	DET
ap-9725	43	18	case	case	NOUN
ap-9725	43	19	of	of	ADP
ap-9725	43	20	[	[	X
ap-9725	43	21	9	9	NUM
ap-9725	43	22	]	]	PUNCT
ap-9725	43	23	,	,	PUNCT
ap-9725	43	24	which	which	PRON
ap-9725	43	25	presents	present	VERB
ap-9725	43	26	a	a	DET
ap-9725	43	27	solution	solution	NOUN
ap-9725	43	28	based	base	VERB
ap-9725	43	29	on	on	ADP
ap-9725	43	30	hough	hough	PROPN
ap-9725	43	31	forest	forest	PROPN
ap-9725	43	32	and	and	CCONJ
ap-9725	43	33	cnns	cnns	PROPN
ap-9725	43	34	.	.	PUNCT
ap-9725	44	1	recurrent	recurrent	ADJ
ap-9725	44	2	neural	neural	ADJ
ap-9725	44	3	networks	network	NOUN
ap-9725	44	4	show	show	VERB
ap-9725	44	5	a	a	DET
ap-9725	44	6	good	good	ADJ
ap-9725	44	7	performance	performance	NOUN
ap-9725	44	8	when	when	SCONJ
ap-9725	44	9	dealing	deal	VERB
ap-9725	44	10	with	with	ADP
ap-9725	44	11	temporal	temporal	ADJ
ap-9725	44	12	series	series	NOUN
ap-9725	44	13	[	[	X
ap-9725	44	14	15	15	NUM
ap-9725	44	15	]	]	PUNCT
ap-9725	44	16	.	.	PUNCT
ap-9725	45	1	since	since	SCONJ
ap-9725	45	2	videos	video	NOUN
ap-9725	45	3	have	have	VERB
ap-9725	45	4	temporal	temporal	ADJ
ap-9725	45	5	characteristics	characteristic	NOUN
ap-9725	45	6	between	between	ADP
ap-9725	45	7	their	their	PRON
ap-9725	45	8	frames	frame	NOUN
ap-9725	45	9	,	,	PUNCT
ap-9725	45	10	we	we	PRON
ap-9725	45	11	can	can	AUX
ap-9725	45	12	exploit	exploit	VERB
ap-9725	45	13	this	this	DET
ap-9725	45	14	ability	ability	NOUN
ap-9725	45	15	to	to	PART
ap-9725	45	16	increase	increase	VERB
ap-9725	45	17	the	the	DET
ap-9725	45	18	performance	performance	NOUN
ap-9725	45	19	of	of	ADP
ap-9725	45	20	the	the	DET
ap-9725	45	21	models	model	NOUN
ap-9725	45	22	.	.	PUNCT
ap-9725	46	1	this	this	DET
ap-9725	46	2	process	process	NOUN
ap-9725	46	3	can	can	AUX
ap-9725	46	4	be	be	AUX
ap-9725	46	5	found	find	VERB
ap-9725	46	6	in	in	ADP
ap-9725	46	7	[	[	X
ap-9725	46	8	8	8	NUM
ap-9725	46	9	]	]	PUNCT
ap-9725	46	10	,	,	PUNCT
ap-9725	46	11	which	which	PRON
ap-9725	46	12	uses	use	VERB
ap-9725	46	13	convolutional	convolutional	ADJ
ap-9725	46	14	networks	network	NOUN
ap-9725	46	15	and	and	CCONJ
ap-9725	46	16	lstm	lstm	NOUN
ap-9725	46	17	to	to	PART
ap-9725	46	18	classify	classify	VERB
ap-9725	46	19	violent	violent	ADJ
ap-9725	46	20	videos	video	NOUN
ap-9725	46	21	.	.	PUNCT
ap-9725	47	1	therefore	therefore	ADV
ap-9725	47	2	,	,	PUNCT
ap-9725	47	3	a	a	DET
ap-9725	47	4	deep	deep	ADJ
ap-9725	47	5	learning	learning	NOUN
ap-9725	47	6	model	model	NOUN
ap-9725	47	7	based	base	VERB
ap-9725	47	8	on	on	ADP
ap-9725	47	9	cnns	cnn	NOUN
ap-9725	47	10	and	and	CCONJ
ap-9725	47	11	rnns	rnns	PROPN
ap-9725	47	12	(	(	PUNCT
ap-9725	47	13	recurrent	recurrent	ADJ
ap-9725	47	14	neural	neural	ADJ
ap-9725	47	15	networks	network	NOUN
ap-9725	47	16	)	)	PUNCT
ap-9725	47	17	of	of	ADP
ap-9725	47	18	the	the	DET
ap-9725	47	19	lstm	lstm	NOUN
ap-9725	47	20	type	type	NOUN
ap-9725	47	21	is	be	AUX
ap-9725	47	22	proposed	propose	VERB
ap-9725	47	23	,	,	PUNCT
ap-9725	47	24	resulting	result	VERB
ap-9725	47	25	in	in	ADP
ap-9725	47	26	a	a	DET
ap-9725	47	27	convlstm	convlstm	NOUN
ap-9725	47	28	network	network	NOUN
ap-9725	47	29	for	for	ADP
ap-9725	47	30	the	the	DET
ap-9725	47	31	exploration	exploration	NOUN
ap-9725	47	32	of	of	ADP
ap-9725	47	33	both	both	CCONJ
ap-9725	47	34	spatial	spatial	ADJ
ap-9725	47	35	and	and	CCONJ
ap-9725	47	36	temporal	temporal	ADJ
ap-9725	47	37	characteristics	characteristic	NOUN
ap-9725	47	38	in	in	ADP
ap-9725	47	39	videos	video	NOUN
ap-9725	47	40	to	to	PART
ap-9725	47	41	contribute	contribute	VERB
ap-9725	47	42	to	to	ADP
ap-9725	47	43	the	the	DET
ap-9725	47	44	task	task	NOUN
ap-9725	47	45	proposed	propose	VERB
ap-9725	47	46	in	in	ADP
ap-9725	47	47	the	the	DET
ap-9725	47	48	automatic	automatic	ADJ
ap-9725	47	49	classification	classification	NOUN
ap-9725	47	50	of	of	ADP
ap-9725	47	51	videos	video	NOUN
ap-9725	47	52	for	for	ADP
ap-9725	47	53	the	the	DET
ap-9725	47	54	detection	detection	NOUN
ap-9725	47	55	of	of	ADP
ap-9725	47	56	violent	violent	ADJ
ap-9725	47	57	incidents	incident	NOUN
ap-9725	47	58	.	.	PUNCT
ap-9725	48	1	this	this	DET
ap-9725	48	2	work	work	NOUN
ap-9725	48	3	differs	differ	VERB
ap-9725	48	4	from	from	ADP
ap-9725	48	5	other	other	ADJ
ap-9725	48	6	works	work	NOUN
ap-9725	48	7	be	be	AUX
ap-9725	48	8	using	use	VERB
ap-9725	48	9	the	the	DET
ap-9725	48	10	techniques	technique	NOUN
ap-9725	48	11	mentioned	mention	VERB
ap-9725	48	12	and	and	CCONJ
ap-9725	48	13	also	also	ADV
ap-9725	48	14	making	make	VERB
ap-9725	48	15	use	use	NOUN
ap-9725	48	16	of	of	ADP
ap-9725	48	17	tl	tl	PROPN
ap-9725	48	18	for	for	ADP
ap-9725	48	19	the	the	DET
ap-9725	48	20	composition	composition	NOUN
ap-9725	48	21	of	of	ADP
ap-9725	48	22	the	the	DET
ap-9725	48	23	proposed	propose	VERB
ap-9725	48	24	models	model	NOUN
ap-9725	48	25	,	,	PUNCT
ap-9725	48	26	in	in	ADP
ap-9725	48	27	addition	addition	NOUN
ap-9725	48	28	to	to	ADP
ap-9725	48	29	applying	apply	VERB
ap-9725	48	30	techniques	technique	NOUN
ap-9725	48	31	of	of	ADP
ap-9725	48	32	video	video	NOUN
ap-9725	48	33	representation	representation	NOUN
ap-9725	48	34	based	base	VERB
ap-9725	48	35	on	on	ADP
ap-9725	48	36	temporal	temporal	ADJ
ap-9725	48	37	fusion	fusion	NOUN
ap-9725	48	38	.	.	PUNCT
ap-9725	49	1	it	it	PRON
ap-9725	49	2	is	be	AUX
ap-9725	49	3	not	not	PART
ap-9725	49	4	present	present	ADJ
ap-9725	49	5	in	in	ADP
ap-9725	49	6	other	other	ADJ
ap-9725	49	7	works	work	NOUN
ap-9725	49	8	that	that	PRON
ap-9725	49	9	tackle	tackle	VERB
ap-9725	49	10	the	the	DET
ap-9725	49	11	same	same	ADJ
ap-9725	49	12	task	task	NOUN
ap-9725	49	13	.	.	PUNCT
ap-9725	50	1	3	3	X
ap-9725	50	2	.	.	X
ap-9725	50	3	materials	material	NOUN
ap-9725	50	4	and	and	CCONJ
ap-9725	50	5	methods	method	NOUN
ap-9725	50	6	in	in	ADP
ap-9725	50	7	this	this	DET
ap-9725	50	8	section	section	NOUN
ap-9725	50	9	,	,	PUNCT
ap-9725	50	10	we	we	PRON
ap-9725	50	11	describe	describe	VERB
ap-9725	50	12	the	the	DET
ap-9725	50	13	methods	method	NOUN
ap-9725	50	14	and	and	CCONJ
ap-9725	50	15	materials	material	NOUN
ap-9725	50	16	used	use	VERB
ap-9725	50	17	to	to	PART
ap-9725	50	18	perform	perform	VERB
ap-9725	50	19	the	the	DET
ap-9725	50	20	experiments	experiment	NOUN
ap-9725	50	21	conducted	conduct	VERB
ap-9725	50	22	for	for	ADP
ap-9725	50	23	the	the	DET
ap-9725	50	24	violence	violence	NOUN
ap-9725	50	25	detection	detection	NOUN
ap-9725	50	26	task	task	NOUN
ap-9725	50	27	.	.	PUNCT
ap-9725	51	1	the	the	DET
ap-9725	51	2	subsections	subsection	NOUN
ap-9725	51	3	are	be	AUX
ap-9725	51	4	divided	divide	VERB
ap-9725	51	5	into	into	ADP
ap-9725	51	6	:	:	PUNCT
ap-9725	51	7	datasets	dataset	NOUN
ap-9725	51	8	(	(	PUNCT
ap-9725	51	9	experimental	experimental	ADJ
ap-9725	51	10	data	datum	NOUN
ap-9725	51	11	)	)	PUNCT
ap-9725	51	12	,	,	PUNCT
ap-9725	51	13	which	which	PRON
ap-9725	51	14	presents	present	VERB
ap-9725	51	15	and	and	CCONJ
ap-9725	51	16	evaluates	evaluate	VERB
ap-9725	51	17	the	the	DET
ap-9725	51	18	database	database	NOUN
ap-9725	51	19	used	use	VERB
ap-9725	51	20	;	;	PUNCT
ap-9725	51	21	preprocessing	preprocesse	VERB
ap-9725	51	22	,	,	PUNCT
ap-9725	51	23	which	which	PRON
ap-9725	51	24	informs	inform	VERB
ap-9725	51	25	how	how	SCONJ
ap-9725	51	26	machine	machine	NOUN
ap-9725	51	27	learning	learning	NOUN
ap-9725	51	28	will	will	AUX
ap-9725	51	29	be	be	AUX
ap-9725	51	30	used	use	VERB
ap-9725	51	31	in	in	ADP
ap-9725	51	32	combination	combination	NOUN
ap-9725	51	33	with	with	ADP
ap-9725	51	34	the	the	DET
ap-9725	51	35	database	database	NOUN
ap-9725	51	36	presented	present	VERB
ap-9725	51	37	;	;	PUNCT
ap-9725	51	38	temporal	temporal	ADJ
ap-9725	51	39	fusion	fusion	NOUN
ap-9725	51	40	(	(	PUNCT
ap-9725	51	41	tf	tf	PROPN
ap-9725	51	42	)	)	PUNCT
ap-9725	51	43	,	,	PUNCT
ap-9725	51	44	which	which	PRON
ap-9725	51	45	addresses	address	VERB
ap-9725	51	46	the	the	DET
ap-9725	51	47	techniques	technique	NOUN
ap-9725	51	48	for	for	ADP
ap-9725	51	49	representing	represent	VERB
ap-9725	51	50	the	the	DET
ap-9725	51	51	input	input	NOUN
ap-9725	51	52	data	datum	NOUN
ap-9725	51	53	;	;	PUNCT
ap-9725	51	54	methodology	methodology	NOUN
ap-9725	51	55	,	,	PUNCT
ap-9725	51	56	which	which	PRON
ap-9725	51	57	presents	present	VERB
ap-9725	51	58	the	the	DET
ap-9725	51	59	proposed	propose	VERB
ap-9725	51	60	machine	machine	NOUN
ap-9725	51	61	learning	learning	NOUN
ap-9725	51	62	models	model	NOUN
ap-9725	51	63	for	for	ADP
ap-9725	51	64	performing	perform	VERB
ap-9725	51	65	the	the	DET
ap-9725	51	66	task	task	NOUN
ap-9725	51	67	in	in	ADP
ap-9725	51	68	question	question	NOUN
ap-9725	51	69	;	;	PUNCT
ap-9725	51	70	and	and	CCONJ
ap-9725	51	71	performance	performance	NOUN
ap-9725	51	72	evaluation	evaluation	NOUN
ap-9725	51	73	,	,	PUNCT
ap-9725	51	74	which	which	PRON
ap-9725	51	75	presents	present	VERB
ap-9725	51	76	the	the	DET
ap-9725	51	77	methods	method	NOUN
ap-9725	51	78	used	use	VERB
ap-9725	51	79	to	to	PART
ap-9725	51	80	evaluate	evaluate	VERB
ap-9725	51	81	the	the	DET
ap-9725	51	82	suggested	suggest	VERB
ap-9725	51	83	models	model	NOUN
ap-9725	51	84	.	.	PUNCT
ap-9725	52	1	3.1	3.1	NUM
ap-9725	52	2	.	.	PUNCT
ap-9725	53	1	datasets	dataset	NOUN
ap-9725	53	2	researchers	researcher	NOUN
ap-9725	53	3	use	use	VERB
ap-9725	53	4	multiple	multiple	ADJ
ap-9725	53	5	test	test	NOUN
ap-9725	53	6	datasets	dataset	NOUN
ap-9725	53	7	to	to	PART
ap-9725	53	8	assess	assess	VERB
ap-9725	53	9	the	the	DET
ap-9725	53	10	effectiveness	effectiveness	NOUN
ap-9725	53	11	of	of	ADP
ap-9725	53	12	various	various	ADJ
ap-9725	53	13	methods	method	NOUN
ap-9725	53	14	.	.	PUNCT
ap-9725	54	1	these	these	DET
ap-9725	54	2	datasets	dataset	NOUN
ap-9725	54	3	commonly	commonly	ADV
ap-9725	54	4	include	include	VERB
ap-9725	54	5	hockey	hockey	NOUN
ap-9725	54	6	fighting	fighting	NOUN
ap-9725	54	7	(	(	PUNCT
ap-9725	54	8	hf	hf	NOUN
ap-9725	54	9	)	)	PUNCT
ap-9725	54	10	,	,	PUNCT
ap-9725	54	11	violent	violent	ADJ
ap-9725	54	12	flows	flow	NOUN
ap-9725	54	13	(	(	PUNCT
ap-9725	54	14	vf	vf	NOUN
ap-9725	54	15	)	)	PUNCT
ap-9725	54	16	,	,	PUNCT
ap-9725	54	17	action	action	NOUN
ap-9725	54	18	movies	movie	NOUN
ap-9725	54	19	(	(	PUNCT
ap-9725	54	20	am	be	AUX
ap-9725	54	21	)	)	PUNCT
ap-9725	54	22	,	,	PUNCT
ap-9725	54	23	and	and	CCONJ
ap-9725	54	24	real	real	ADJ
ap-9725	54	25	-	-	PUNCT
ap-9725	54	26	life	life	NOUN
ap-9725	54	27	violence	violence	NOUN
ap-9725	54	28	situations	situation	NOUN
ap-9725	54	29	(	(	PUNCT
ap-9725	54	30	rlvs	rlvs	NOUN
ap-9725	54	31	)	)	PUNCT
ap-9725	54	32	,	,	PUNCT
ap-9725	54	33	which	which	PRON
ap-9725	54	34	are	be	AUX
ap-9725	54	35	widely	widely	ADV
ap-9725	54	36	used	use	VERB
ap-9725	54	37	in	in	ADP
ap-9725	54	38	existing	exist	VERB
ap-9725	54	39	approaches	approach	NOUN
ap-9725	54	40	.	.	PUNCT
ap-9725	55	1	table	table	NOUN
ap-9725	55	2	1	1	NUM
ap-9725	55	3	provides	provide	VERB
ap-9725	55	4	additional	additional	ADJ
ap-9725	55	5	information	information	NOUN
ap-9725	55	6	about	about	ADP
ap-9725	55	7	each	each	PRON
ap-9725	55	8	of	of	ADP
ap-9725	55	9	the	the	DET
ap-9725	55	10	datasets	dataset	NOUN
ap-9725	55	11	.	.	PUNCT
ap-9725	56	1	(	(	PUNCT
ap-9725	56	2	1	1	NUM
ap-9725	56	3	.	.	PUNCT
ap-9725	56	4	)	)	PUNCT
ap-9725	56	5	hockey	hockey	NOUN
ap-9725	56	6	fight	fight	NOUN
ap-9725	56	7	(	(	PUNCT
ap-9725	56	8	hf	hf	NOUN
ap-9725	56	9	)	)	PUNCT
ap-9725	56	10	dataset	dataset	NOUN
ap-9725	56	11	:	:	PUNCT
ap-9725	56	12	bermejo	bermejo	PROPN
ap-9725	56	13	et	et	PROPN
ap-9725	56	14	al	al	PROPN
ap-9725	56	15	.	.	PUNCT
ap-9725	57	1	[	[	X
ap-9725	57	2	16	16	NUM
ap-9725	57	3	]	]	PUNCT
ap-9725	57	4	present	present	VERB
ap-9725	57	5	the	the	DET
ap-9725	57	6	dataset	dataset	NOUN
ap-9725	57	7	.	.	PUNCT
ap-9725	58	1	its	its	PRON
ap-9725	58	2	purpose	purpose	NOUN
ap-9725	58	3	is	be	AUX
ap-9725	58	4	to	to	PART
ap-9725	58	5	measure	measure	VERB
ap-9725	58	6	the	the	DET
ap-9725	58	7	effectiveness	effectiveness	NOUN
ap-9725	58	8	of	of	ADP
ap-9725	58	9	violence	violence	NOUN
ap-9725	58	10	detection	detection	NOUN
ap-9725	58	11	systems	system	NOUN
ap-9725	58	12	in	in	ADP
ap-9725	58	13	uncrowded	uncrowded	ADJ
ap-9725	58	14	scenes	scene	NOUN
ap-9725	58	15	.	.	PUNCT
ap-9725	59	1	the	the	DET
ap-9725	59	2	collection	collection	NOUN
ap-9725	59	3	comprises	comprise	VERB
ap-9725	59	4	1	1	NUM
ap-9725	59	5	000	000	NUM
ap-9725	59	6	movies	movie	NOUN
ap-9725	59	7	,	,	PUNCT
ap-9725	59	8	500	500	NUM
ap-9725	59	9	of	of	ADP
ap-9725	59	10	which	which	PRON
ap-9725	59	11	depict	depict	VERB
ap-9725	59	12	violent	violent	ADJ
ap-9725	59	13	scenes	scene	NOUN
ap-9725	59	14	,	,	PUNCT
ap-9725	59	15	and	and	CCONJ
ap-9725	59	16	the	the	DET
ap-9725	59	17	other	other	ADJ
ap-9725	59	18	500	500	NUM
ap-9725	59	19	depict	depict	ADJ
ap-9725	59	20	non	non	ADJ
ap-9725	59	21	-	-	ADJ
ap-9725	59	22	violent	violent	ADJ
ap-9725	59	23	scenes	scene	NOUN
ap-9725	59	24	.	.	PUNCT
ap-9725	60	1	the	the	DET
ap-9725	60	2	videos	video	NOUN
ap-9725	60	3	are	be	AUX
ap-9725	60	4	recorded	record	VERB
ap-9725	60	5	from	from	ADP
ap-9725	60	6	national	national	PROPN
ap-9725	60	7	hockey	hockey	PROPN
ap-9725	60	8	league	league	PROPN
ap-9725	60	9	(	(	PUNCT
ap-9725	60	10	nhl	nhl	PROPN
ap-9725	60	11	)	)	PUNCT
ap-9725	60	12	games	game	NOUN
ap-9725	60	13	.	.	PUNCT
ap-9725	61	1	the	the	DET
ap-9725	61	2	minimum	minimum	ADJ
ap-9725	61	3	,	,	PUNCT
ap-9725	61	4	mean	mean	ADJ
ap-9725	61	5	,	,	PUNCT
ap-9725	61	6	and	and	CCONJ
ap-9725	61	7	maximum	maximum	ADJ
ap-9725	61	8	number	number	NOUN
ap-9725	61	9	of	of	ADP
ap-9725	61	10	frames	frame	NOUN
ap-9725	61	11	are	be	AUX
ap-9725	61	12	,	,	PUNCT
ap-9725	61	13	respectively	respectively	ADV
ap-9725	61	14	,	,	PUNCT
ap-9725	61	15	40	40	NUM
ap-9725	61	16	,	,	PUNCT
ap-9725	61	17	41	41	NUM
ap-9725	61	18	,	,	PUNCT
ap-9725	61	19	and	and	CCONJ
ap-9725	61	20	49	49	NUM
ap-9725	61	21	.	.	PUNCT
ap-9725	62	1	additionally	additionally	ADV
ap-9725	62	2	,	,	PUNCT
ap-9725	62	3	the	the	DET
ap-9725	62	4	video	video	NOUN
ap-9725	62	5	clips	clip	NOUN
ap-9725	62	6	have	have	VERB
ap-9725	62	7	a	a	DET
ap-9725	62	8	resolution	resolution	NOUN
ap-9725	62	9	of	of	ADP
ap-9725	62	10	288	288	NUM
ap-9725	62	11	×	×	NOUN
ap-9725	62	12	360	360	NUM
ap-9725	62	13	pixels	pixel	NOUN
ap-9725	62	14	.	.	PUNCT
ap-9725	63	1	figure	figure	NOUN
ap-9725	63	2	1	1	NUM
ap-9725	63	3	depicts	depict	VERB
ap-9725	63	4	both	both	CCONJ
ap-9725	63	5	violent	violent	ADJ
ap-9725	63	6	and	and	CCONJ
ap-9725	63	7	non	non	ADJ
ap-9725	63	8	-	-	ADJ
ap-9725	63	9	violent	violent	ADJ
ap-9725	63	10	scenarios	scenario	NOUN
ap-9725	63	11	in	in	ADP
ap-9725	63	12	its	its	PRON
ap-9725	63	13	first	first	ADJ
ap-9725	63	14	and	and	CCONJ
ap-9725	63	15	second	second	ADJ
ap-9725	63	16	rows	row	NOUN
ap-9725	63	17	from	from	ADP
ap-9725	63	18	this	this	DET
ap-9725	63	19	dataset	dataset	NOUN
ap-9725	63	20	.	.	PUNCT
ap-9725	64	1	(	(	PUNCT
ap-9725	64	2	2	2	NUM
ap-9725	64	3	.	.	PUNCT
ap-9725	64	4	)	)	PUNCT
ap-9725	65	1	violent	violent	ADJ
ap-9725	65	2	flows	flow	NOUN
ap-9725	65	3	(	(	PUNCT
ap-9725	65	4	vf	vf	NOUN
ap-9725	65	5	)	)	PUNCT
ap-9725	65	6	dataset	dataset	NOUN
ap-9725	65	7	:	:	PUNCT
ap-9725	65	8	hassner	hassner	NOUN
ap-9725	65	9	et	et	PROPN
ap-9725	65	10	al	al	PROPN
ap-9725	65	11	.	.	PUNCT
ap-9725	66	1	[	[	X
ap-9725	66	2	17	17	NUM
ap-9725	66	3	]	]	PUNCT
ap-9725	66	4	compiled	compile	VERB
ap-9725	66	5	the	the	DET
ap-9725	66	6	dataset	dataset	NOUN
ap-9725	66	7	.	.	PUNCT
ap-9725	67	1	its	its	PRON
ap-9725	67	2	purpose	purpose	NOUN
ap-9725	67	3	is	be	AUX
ap-9725	67	4	to	to	PART
ap-9725	67	5	evaluate	evaluate	VERB
ap-9725	67	6	the	the	DET
ap-9725	67	7	effectiveness	effectiveness	NOUN
ap-9725	67	8	of	of	ADP
ap-9725	67	9	violence	violence	NOUN
ap-9725	67	10	detection	detection	NOUN
ap-9725	67	11	techniques	technique	NOUN
ap-9725	67	12	in	in	ADP
ap-9725	67	13	crowded	crowded	ADJ
ap-9725	67	14	environments	environment	NOUN
ap-9725	67	15	.	.	PUNCT
ap-9725	68	1	the	the	DET
ap-9725	68	2	collection	collection	NOUN
ap-9725	68	3	has	have	VERB
ap-9725	68	4	246	246	NUM
ap-9725	68	5	videos	video	NOUN
ap-9725	68	6	,	,	PUNCT
ap-9725	68	7	all	all	PRON
ap-9725	68	8	of	of	ADP
ap-9725	68	9	which	which	PRON
ap-9725	68	10	have	have	VERB
ap-9725	68	11	a	a	DET
ap-9725	68	12	resolution	resolution	NOUN
ap-9725	68	13	of	of	ADP
ap-9725	68	14	240	240	NUM
ap-9725	68	15	×	×	NOUN
ap-9725	68	16	320	320	NUM
ap-9725	68	17	pixels	pixel	NOUN
ap-9725	68	18	.	.	PUNCT
ap-9725	69	1	the	the	DET
ap-9725	69	2	maximum	maximum	ADJ
ap-9725	69	3	,	,	PUNCT
ap-9725	69	4	mean	mean	ADJ
ap-9725	69	5	,	,	PUNCT
ap-9725	69	6	and	and	CCONJ
ap-9725	69	7	minimum	minimum	ADJ
ap-9725	69	8	number	number	NOUN
ap-9725	69	9	of	of	ADP
ap-9725	69	10	frames	frame	NOUN
ap-9725	69	11	are	be	AUX
ap-9725	69	12	161	161	NUM
ap-9725	69	13	,	,	PUNCT
ap-9725	69	14	89	89	NUM
ap-9725	69	15	,	,	PUNCT
ap-9725	69	16	and	and	CCONJ
ap-9725	69	17	26	26	NUM
ap-9725	69	18	,	,	PUNCT
ap-9725	69	19	respectively	respectively	ADV
ap-9725	69	20	.	.	PUNCT
ap-9725	70	1	figure	figure	NOUN
ap-9725	70	2	2	2	NUM
ap-9725	70	3	displays	display	VERB
ap-9725	70	4	the	the	DET
ap-9725	70	5	violent	violent	ADJ
ap-9725	70	6	and	and	CCONJ
ap-9725	70	7	non	non	ADJ
ap-9725	70	8	-	-	ADJ
ap-9725	70	9	violent	violent	ADJ
ap-9725	70	10	events	event	NOUN
ap-9725	70	11	of	of	ADP
ap-9725	70	12	the	the	DET
ap-9725	70	13	violent	violent	ADJ
ap-9725	70	14	flows	flow	NOUN
ap-9725	70	15	database	database	NOUN
ap-9725	70	16	in	in	ADP
ap-9725	70	17	its	its	PRON
ap-9725	70	18	first	first	ADJ
ap-9725	70	19	and	and	CCONJ
ap-9725	70	20	second	second	ADJ
ap-9725	70	21	rows	row	NOUN
ap-9725	70	22	,	,	PUNCT
ap-9725	70	23	respectively	respectively	ADV
ap-9725	70	24	.	.	PUNCT
ap-9725	71	1	(	(	PUNCT
ap-9725	71	2	3	3	NUM
ap-9725	71	3	.	.	PUNCT
ap-9725	71	4	)	)	PUNCT
ap-9725	72	1	action	action	NOUN
ap-9725	72	2	movies	movie	NOUN
ap-9725	72	3	(	(	PUNCT
ap-9725	72	4	am	am	NOUN
ap-9725	72	5	)	)	PUNCT
ap-9725	72	6	dataset	dataset	NOUN
ap-9725	72	7	:	:	PUNCT
ap-9725	72	8	bermejo	bermejo	PROPN
ap-9725	72	9	et	et	PROPN
ap-9725	72	10	al	al	PROPN
ap-9725	72	11	.	.	PUNCT
ap-9725	73	1	[	[	X
ap-9725	73	2	16	16	NUM
ap-9725	73	3	]	]	PUNCT
ap-9725	73	4	compiled	compile	VERB
ap-9725	73	5	this	this	DET
ap-9725	73	6	dataset	dataset	NOUN
ap-9725	73	7	.	.	PUNCT
ap-9725	74	1	similar	similar	ADJ
ap-9725	74	2	to	to	ADP
ap-9725	74	3	the	the	DET
ap-9725	74	4	hockey	hockey	NOUN
ap-9725	74	5	fights	fight	VERB
ap-9725	74	6	dataset	dataset	NOUN
ap-9725	74	7	,	,	PUNCT
ap-9725	74	8	this	this	DET
ap-9725	74	9	collection	collection	NOUN
ap-9725	74	10	also	also	ADV
ap-9725	74	11	includes	include	VERB
ap-9725	74	12	scenes	scene	NOUN
ap-9725	74	13	with	with	ADP
ap-9725	74	14	low	low	ADJ
ap-9725	74	15	307	307	NUM
ap-9725	74	16	k.	k.	NOUN
ap-9725	74	17	merit	merit	PROPN
ap-9725	74	18	,	,	PUNCT
ap-9725	74	19	m.	m.	NOUN
ap-9725	74	20	beladgham	beladgham	PROPN
ap-9725	74	21	,	,	PUNCT
ap-9725	74	22	a.	a.	NOUN
ap-9725	74	23	taleb	taleb	PROPN
ap-9725	74	24	-	-	PUNCT
ap-9725	74	25	ahmed	ahmed	PROPN
ap-9725	74	26	acta	acta	PROPN
ap-9725	74	27	polytechnica	polytechnica	PROPN
ap-9725	74	28	(	(	PUNCT
ap-9725	74	29	a	a	NOUN
ap-9725	74	30	)	)	PUNCT
ap-9725	74	31	.	.	PUNCT
ap-9725	75	1	violent	violent	ADJ
ap-9725	75	2	scenes	scene	NOUN
ap-9725	75	3	.	.	PUNCT
ap-9725	76	1	(	(	PUNCT
ap-9725	76	2	b	b	NOUN
ap-9725	76	3	)	)	PUNCT
ap-9725	76	4	.	.	PUNCT
ap-9725	77	1	non	non	ADJ
ap-9725	77	2	-	-	ADJ
ap-9725	77	3	violent	violent	ADJ
ap-9725	77	4	scenes	scene	NOUN
ap-9725	77	5	.	.	PUNCT
ap-9725	78	1	figure	figure	VERB
ap-9725	78	2	1	1	NUM
ap-9725	78	3	.	.	PUNCT
ap-9725	79	1	the	the	DET
ap-9725	79	2	hf	hf	PROPN
ap-9725	79	3	dataset	dataset	PROPN
ap-9725	79	4	’s	’s	PART
ap-9725	79	5	representative	representative	PROPN
ap-9725	79	6	frames	frame	NOUN
ap-9725	79	7	.	.	PUNCT
ap-9725	80	1	(	(	PUNCT
ap-9725	80	2	a	a	X
ap-9725	80	3	)	)	PUNCT
ap-9725	80	4	.	.	PUNCT
ap-9725	81	1	violent	violent	ADJ
ap-9725	81	2	scenes	scene	NOUN
ap-9725	81	3	.	.	PUNCT
ap-9725	82	1	(	(	PUNCT
ap-9725	82	2	b	b	NOUN
ap-9725	82	3	)	)	PUNCT
ap-9725	82	4	.	.	PUNCT
ap-9725	83	1	non	non	ADJ
ap-9725	83	2	-	-	ADJ
ap-9725	83	3	violent	violent	ADJ
ap-9725	83	4	scenes	scene	NOUN
ap-9725	83	5	.	.	PUNCT
ap-9725	84	1	figure	figure	NOUN
ap-9725	84	2	2	2	NUM
ap-9725	84	3	.	.	PUNCT
ap-9725	85	1	the	the	DET
ap-9725	85	2	vf	vf	PROPN
ap-9725	85	3	dataset	dataset	PROPN
ap-9725	85	4	’s	’s	PART
ap-9725	85	5	representative	representative	PROPN
ap-9725	85	6	frames	frame	NOUN
ap-9725	85	7	.	.	PUNCT
ap-9725	86	1	population	population	NOUN
ap-9725	86	2	density	density	NOUN
ap-9725	86	3	(	(	PUNCT
ap-9725	86	4	uncrowded	uncrowded	ADJ
ap-9725	86	5	scenes	scene	NOUN
ap-9725	86	6	)	)	PUNCT
ap-9725	86	7	.	.	PUNCT
ap-9725	87	1	however	however	ADV
ap-9725	87	2	,	,	PUNCT
ap-9725	87	3	it	it	PRON
ap-9725	87	4	offers	offer	VERB
ap-9725	87	5	a	a	DET
ap-9725	87	6	diverse	diverse	ADJ
ap-9725	87	7	range	range	NOUN
ap-9725	87	8	of	of	ADP
ap-9725	87	9	scenes	scene	NOUN
ap-9725	87	10	and	and	CCONJ
ap-9725	87	11	resolutions	resolution	NOUN
ap-9725	87	12	.	.	PUNCT
ap-9725	88	1	the	the	DET
ap-9725	88	2	collection	collection	NOUN
ap-9725	88	3	comprises	comprise	VERB
ap-9725	88	4	200	200	NUM
ap-9725	88	5	videos	video	NOUN
ap-9725	88	6	,	,	PUNCT
ap-9725	88	7	consisting	consist	VERB
ap-9725	88	8	of	of	ADP
ap-9725	88	9	100	100	NUM
ap-9725	88	10	scenes	scene	NOUN
ap-9725	88	11	depicting	depict	VERB
ap-9725	88	12	violence	violence	NOUN
ap-9725	88	13	and	and	CCONJ
ap-9725	88	14	100	100	NUM
ap-9725	88	15	scenes	scene	NOUN
ap-9725	88	16	without	without	ADP
ap-9725	88	17	violence	violence	NOUN
ap-9725	88	18	.	.	PUNCT
ap-9725	89	1	action	action	NOUN
ap-9725	89	2	films	film	NOUN
ap-9725	89	3	provide	provide	VERB
ap-9725	89	4	violent	violent	ADJ
ap-9725	89	5	videos	video	NOUN
ap-9725	89	6	,	,	PUNCT
ap-9725	89	7	while	while	SCONJ
ap-9725	89	8	public	public	ADJ
ap-9725	89	9	scenes	scene	NOUN
ap-9725	89	10	provide	provide	VERB
ap-9725	89	11	non	non	ADJ
ap-9725	89	12	-	-	ADJ
ap-9725	89	13	violent	violent	ADJ
ap-9725	89	14	ones	one	NOUN
ap-9725	89	15	.	.	PUNCT
ap-9725	90	1	the	the	DET
ap-9725	90	2	maximum	maximum	ADJ
ap-9725	90	3	,	,	PUNCT
ap-9725	90	4	mean	mean	ADJ
ap-9725	90	5	,	,	PUNCT
ap-9725	90	6	and	and	CCONJ
ap-9725	90	7	minimum	minimum	ADJ
ap-9725	90	8	number	number	NOUN
ap-9725	90	9	of	of	ADP
ap-9725	90	10	frames	frame	NOUN
ap-9725	90	11	are	be	AUX
ap-9725	90	12	60	60	NUM
ap-9725	90	13	,	,	PUNCT
ap-9725	90	14	49	49	NUM
ap-9725	90	15	,	,	PUNCT
ap-9725	90	16	and	and	CCONJ
ap-9725	90	17	42	42	NUM
ap-9725	90	18	,	,	PUNCT
ap-9725	90	19	respectively	respectively	ADV
ap-9725	90	20	.	.	PUNCT
ap-9725	91	1	the	the	DET
ap-9725	91	2	mean	mean	ADJ
ap-9725	91	3	resolution	resolution	NOUN
ap-9725	91	4	of	of	ADP
ap-9725	91	5	the	the	DET
ap-9725	91	6	dataset	dataset	NOUN
ap-9725	91	7	is	be	AUX
ap-9725	91	8	515	515	NUM
ap-9725	91	9	×	×	NOUN
ap-9725	91	10	720	720	NUM
ap-9725	91	11	pixels	pixel	NOUN
ap-9725	91	12	.	.	PUNCT
ap-9725	92	1	the	the	DET
ap-9725	92	2	figure	figure	NOUN
ap-9725	92	3	3	3	NUM
ap-9725	92	4	displays	display	VERB
ap-9725	92	5	both	both	CCONJ
ap-9725	92	6	violent	violent	ADJ
ap-9725	92	7	and	and	CCONJ
ap-9725	92	8	non	non	ADJ
ap-9725	92	9	-	-	ADJ
ap-9725	92	10	violent	violent	ADJ
ap-9725	92	11	scenarios	scenario	NOUN
ap-9725	92	12	from	from	ADP
ap-9725	92	13	the	the	DET
ap-9725	92	14	dataset	dataset	NOUN
ap-9725	92	15	in	in	ADP
ap-9725	92	16	its	its	PRON
ap-9725	92	17	top	top	ADJ
ap-9725	92	18	and	and	CCONJ
ap-9725	92	19	bottom	bottom	ADJ
ap-9725	92	20	rows	row	NOUN
ap-9725	92	21	.	.	PUNCT
ap-9725	93	1	although	although	SCONJ
ap-9725	93	2	both	both	PRON
ap-9725	93	3	the	the	DET
ap-9725	93	4	action	action	NOUN
ap-9725	93	5	movies	movie	NOUN
ap-9725	93	6	(	(	PUNCT
ap-9725	93	7	am	be	AUX
ap-9725	93	8	)	)	PUNCT
ap-9725	93	9	and	and	CCONJ
ap-9725	93	10	hockey	hockey	NOUN
ap-9725	93	11	fight	fight	NOUN
ap-9725	93	12	(	(	PUNCT
ap-9725	93	13	hf	hf	NOUN
ap-9725	93	14	)	)	PUNCT
ap-9725	93	15	datasets	dataset	NOUN
ap-9725	93	16	were	be	AUX
ap-9725	93	17	introduced	introduce	VERB
ap-9725	93	18	by	by	ADP
ap-9725	93	19	bermejo	bermejo	PROPN
ap-9725	93	20	et	et	PROPN
ap-9725	93	21	al	al	PROPN
ap-9725	93	22	.	.	PUNCT
ap-9725	94	1	[	[	X
ap-9725	94	2	16	16	NUM
ap-9725	94	3	]	]	PUNCT
ap-9725	94	4	,	,	PUNCT
ap-9725	94	5	they	they	PRON
ap-9725	94	6	are	be	AUX
ap-9725	94	7	independent	independent	ADJ
ap-9725	94	8	and	and	CCONJ
ap-9725	94	9	do	do	AUX
ap-9725	94	10	not	not	PART
ap-9725	94	11	share	share	VERB
ap-9725	94	12	any	any	DET
ap-9725	94	13	overlapping	overlap	VERB
ap-9725	94	14	video	video	NOUN
ap-9725	94	15	samples	sample	NOUN
ap-9725	94	16	.	.	PUNCT
ap-9725	95	1	the	the	DET
ap-9725	95	2	am	am	ADJ
ap-9725	95	3	dataset	dataset	VERB
ap-9725	95	4	consists	consist	NOUN
ap-9725	95	5	of	of	ADP
ap-9725	95	6	scenes	scene	NOUN
ap-9725	95	7	from	from	ADP
ap-9725	95	8	action	action	NOUN
ap-9725	95	9	movies	movie	NOUN
ap-9725	95	10	and	and	CCONJ
ap-9725	95	11	public	public	ADJ
ap-9725	95	12	scenes	scene	NOUN
ap-9725	95	13	,	,	PUNCT
ap-9725	95	14	while	while	SCONJ
ap-9725	95	15	the	the	DET
ap-9725	95	16	hf	hf	PROPN
ap-9725	95	17	dataset	dataset	NOUN
ap-9725	95	18	is	be	AUX
ap-9725	95	19	recorded	record	VERB
ap-9725	95	20	from	from	ADP
ap-9725	95	21	national	national	PROPN
ap-9725	95	22	hockey	hockey	PROPN
ap-9725	95	23	league	league	PROPN
ap-9725	95	24	(	(	PUNCT
ap-9725	95	25	nhl	nhl	PROPN
ap-9725	95	26	)	)	PUNCT
ap-9725	95	27	games	game	NOUN
ap-9725	95	28	.	.	PUNCT
ap-9725	96	1	these	these	DET
ap-9725	96	2	datasets	dataset	NOUN
ap-9725	96	3	were	be	AUX
ap-9725	96	4	designed	design	VERB
ap-9725	96	5	for	for	ADP
ap-9725	96	6	different	different	ADJ
ap-9725	96	7	contexts	context	NOUN
ap-9725	96	8	(	(	PUNCT
ap-9725	96	9	movies	movie	NOUN
ap-9725	96	10	vs.	vs.	ADP
ap-9725	96	11	sports	sport	NOUN
ap-9725	96	12	)	)	PUNCT
ap-9725	96	13	,	,	PUNCT
ap-9725	96	14	ensuring	ensure	VERB
ap-9725	96	15	that	that	SCONJ
ap-9725	96	16	their	their	PRON
ap-9725	96	17	content	content	NOUN
ap-9725	96	18	is	be	AUX
ap-9725	96	19	distinct	distinct	ADJ
ap-9725	96	20	and	and	CCONJ
ap-9725	96	21	non	non	ADJ
ap-9725	96	22	-	-	ADJ
ap-9725	96	23	overlapping	overlapping	ADJ
ap-9725	96	24	.	.	PUNCT
ap-9725	97	1	the	the	DET
ap-9725	97	2	variation	variation	NOUN
ap-9725	97	3	in	in	ADP
ap-9725	97	4	the	the	DET
ap-9725	97	5	number	number	NOUN
ap-9725	97	6	of	of	ADP
ap-9725	97	7	images	image	NOUN
ap-9725	97	8	(	(	PUNCT
ap-9725	97	9	frames	frame	NOUN
ap-9725	97	10	)	)	PUNCT
ap-9725	97	11	across	across	ADP
ap-9725	97	12	datasets	dataset	NOUN
ap-9725	97	13	is	be	AUX
ap-9725	97	14	due	due	ADJ
ap-9725	97	15	to	to	ADP
ap-9725	97	16	differences	difference	NOUN
ap-9725	97	17	in	in	ADP
ap-9725	97	18	video	video	NOUN
ap-9725	97	19	duration	duration	NOUN
ap-9725	97	20	,	,	PUNCT
ap-9725	97	21	frame	frame	NOUN
ap-9725	97	22	rates	rate	NOUN
ap-9725	97	23	,	,	PUNCT
ap-9725	97	24	and	and	CCONJ
ap-9725	97	25	the	the	DET
ap-9725	97	26	nature	nature	NOUN
ap-9725	97	27	of	of	ADP
ap-9725	97	28	the	the	DET
ap-9725	97	29	scenes	scene	NOUN
ap-9725	97	30	captured	capture	VERB
ap-9725	97	31	.	.	PUNCT
ap-9725	98	1	for	for	ADP
ap-9725	98	2	example	example	NOUN
ap-9725	98	3	,	,	PUNCT
ap-9725	98	4	the	the	DET
ap-9725	98	5	hockey	hockey	NOUN
ap-9725	98	6	fight	fight	NOUN
ap-9725	98	7	dataset	dataset	NOUN
ap-9725	98	8	contains	contain	VERB
ap-9725	98	9	shorter	short	ADJ
ap-9725	98	10	clips	clip	NOUN
ap-9725	98	11	with	with	ADP
ap-9725	98	12	fewer	few	ADJ
ap-9725	98	13	frames	frame	NOUN
ap-9725	98	14	,	,	PUNCT
ap-9725	98	15	while	while	SCONJ
ap-9725	98	16	the	the	DET
ap-9725	98	17	action	action	NOUN
ap-9725	98	18	movies	movie	NOUN
ap-9725	98	19	dataset	dataset	VERB
ap-9725	98	20	includes	include	VERB
ap-9725	98	21	longer	long	ADJ
ap-9725	98	22	scenes	scene	NOUN
ap-9725	98	23	with	with	ADP
ap-9725	98	24	more	more	ADJ
ap-9725	98	25	frames	frame	NOUN
ap-9725	98	26	.	.	PUNCT
ap-9725	99	1	to	to	PART
ap-9725	99	2	address	address	VERB
ap-9725	99	3	this	this	DET
ap-9725	99	4	variability	variability	NOUN
ap-9725	99	5	,	,	PUNCT
ap-9725	99	6	we	we	PRON
ap-9725	99	7	normalised	normalise	VERB
ap-9725	99	8	the	the	DET
ap-9725	99	9	number	number	NOUN
ap-9725	99	10	of	of	ADP
ap-9725	99	11	frames	frame	NOUN
ap-9725	99	12	per	per	ADP
ap-9725	99	13	video	video	NOUN
ap-9725	99	14	during	during	ADP
ap-9725	99	15	preprocessing	preprocesse	VERB
ap-9725	99	16	by	by	ADP
ap-9725	99	17	extracting	extract	VERB
ap-9725	99	18	2	2	NUM
ap-9725	99	19	frames	frame	NOUN
ap-9725	99	20	per	per	ADP
ap-9725	99	21	second	second	NOUN
ap-9725	99	22	for	for	ADP
ap-9725	99	23	all	all	DET
ap-9725	99	24	videos	video	NOUN
ap-9725	99	25	.	.	PUNCT
ap-9725	100	1	this	this	PRON
ap-9725	100	2	ensures	ensure	VERB
ap-9725	100	3	a	a	DET
ap-9725	100	4	consistent	consistent	ADJ
ap-9725	100	5	temporal	temporal	ADJ
ap-9725	100	6	representation	representation	NOUN
ap-9725	100	7	across	across	ADP
ap-9725	100	8	datasets	dataset	NOUN
ap-9725	100	9	and	and	CCONJ
ap-9725	100	10	minimises	minimise	NOUN
ap-9725	100	11	the	the	DET
ap-9725	100	12	impact	impact	NOUN
ap-9725	100	13	of	of	ADP
ap-9725	100	14	frame	frame	NOUN
ap-9725	100	15	count	count	NOUN
ap-9725	100	16	variability	variability	NOUN
ap-9725	100	17	on	on	ADP
ap-9725	100	18	the	the	DET
ap-9725	100	19	model	model	NOUN
ap-9725	100	20	performance	performance	NOUN
ap-9725	100	21	.	.	PUNCT
ap-9725	101	1	in	in	ADP
ap-9725	101	2	this	this	DET
ap-9725	101	3	paper	paper	NOUN
ap-9725	101	4	,	,	PUNCT
ap-9725	101	5	the	the	DET
ap-9725	101	6	real	real	ADJ
ap-9725	101	7	-	-	PUNCT
ap-9725	101	8	life	life	NOUN
ap-9725	101	9	violence	violence	NOUN
ap-9725	101	10	situations	situation	NOUN
ap-9725	101	11	dataset	dataset	VERB
ap-9725	101	12	(	(	PUNCT
ap-9725	101	13	rlvs-2019	rlvs-2019	ADJ
ap-9725	101	14	)	)	PUNCT
ap-9725	101	15	database	database	NOUN
ap-9725	101	16	was	be	AUX
ap-9725	101	17	used	use	VERB
ap-9725	101	18	[	[	PUNCT
ap-9725	101	19	18	18	NUM
ap-9725	101	20	]	]	PUNCT
ap-9725	101	21	,	,	PUNCT
ap-9725	101	22	which	which	PRON
ap-9725	101	23	consists	consist	VERB
ap-9725	101	24	of	of	ADP
ap-9725	101	25	2	2	NUM
ap-9725	101	26	000	000	NUM
ap-9725	101	27	examples	example	NOUN
ap-9725	101	28	of	of	ADP
ap-9725	101	29	short	short	ADJ
ap-9725	101	30	videos	video	NOUN
ap-9725	101	31	,	,	PUNCT
ap-9725	101	32	with	with	ADP
ap-9725	101	33	an	an	DET
ap-9725	101	34	average	average	ADJ
ap-9725	101	35	duration	duration	NOUN
ap-9725	101	36	of	of	ADP
ap-9725	101	37	5.4	5.4	NUM
ap-9725	101	38	s	s	NOUN
ap-9725	101	39	and	and	CCONJ
ap-9725	101	40	average	average	ADJ
ap-9725	101	41	sampling	sampling	NOUN
ap-9725	101	42	of	of	ADP
ap-9725	101	43	29.5	29.5	NUM
ap-9725	101	44	fps	fps	NOUN
ap-9725	101	45	,	,	PUNCT
ap-9725	101	46	308	308	NUM
ap-9725	101	47	vol	vol	NOUN
ap-9725	101	48	.	.	PUNCT
ap-9725	102	1	65	65	NUM
ap-9725	102	2	no	no	NOUN
ap-9725	102	3	.	.	PUNCT
ap-9725	103	1	3/2025	3/2025	NUM
ap-9725	103	2	temporal	temporal	ADJ
ap-9725	103	3	fusion	fusion	NOUN
ap-9725	103	4	strategy	strategy	NOUN
ap-9725	103	5	for	for	ADP
ap-9725	103	6	violence	violence	NOUN
ap-9725	103	7	detection	detection	NOUN
ap-9725	103	8	.	.	PUNCT
ap-9725	103	9	.	.	PUNCT
ap-9725	103	10	.	.	PUNCT
ap-9725	104	1	(	(	PUNCT
ap-9725	104	2	a	a	X
ap-9725	104	3	)	)	PUNCT
ap-9725	104	4	.	.	PUNCT
ap-9725	105	1	violent	violent	ADJ
ap-9725	105	2	scenes	scene	NOUN
ap-9725	105	3	.	.	PUNCT
ap-9725	106	1	(	(	PUNCT
ap-9725	106	2	b	b	NOUN
ap-9725	106	3	)	)	PUNCT
ap-9725	106	4	.	.	PUNCT
ap-9725	107	1	non	non	ADJ
ap-9725	107	2	-	-	ADJ
ap-9725	107	3	violent	violent	ADJ
ap-9725	107	4	scenes	scene	NOUN
ap-9725	107	5	.	.	PUNCT
ap-9725	108	1	figure	figure	VERB
ap-9725	108	2	3	3	NUM
ap-9725	108	3	.	.	PUNCT
ap-9725	109	1	the	the	DET
ap-9725	109	2	am	be	AUX
ap-9725	109	3	dataset	dataset	VERB
ap-9725	109	4	’s	’s	PART
ap-9725	109	5	representative	representative	ADJ
ap-9725	109	6	frames	frame	NOUN
ap-9725	109	7	.	.	PUNCT
ap-9725	110	1	(	(	PUNCT
ap-9725	110	2	a	a	X
ap-9725	110	3	)	)	PUNCT
ap-9725	110	4	.	.	PUNCT
ap-9725	111	1	violent	violent	ADJ
ap-9725	111	2	scenes	scene	NOUN
ap-9725	111	3	.	.	PUNCT
ap-9725	112	1	(	(	PUNCT
ap-9725	112	2	b	b	NOUN
ap-9725	112	3	)	)	PUNCT
ap-9725	112	4	.	.	PUNCT
ap-9725	113	1	non	non	ADJ
ap-9725	113	2	-	-	ADJ
ap-9725	113	3	violent	violent	ADJ
ap-9725	113	4	scenes	scene	NOUN
ap-9725	113	5	.	.	PUNCT
ap-9725	114	1	figure	figure	VERB
ap-9725	114	2	4	4	NUM
ap-9725	114	3	.	.	PUNCT
ap-9725	115	1	the	the	DET
ap-9725	115	2	rlvs-2019	rlvs-2019	PROPN
ap-9725	115	3	dataset	dataset	NOUN
ap-9725	115	4	’s	’s	PART
ap-9725	115	5	representative	representative	PROPN
ap-9725	115	6	frames	frame	NOUN
ap-9725	115	7	.	.	PUNCT
ap-9725	115	8	separated	separate	VERB
ap-9725	115	9	into	into	ADP
ap-9725	115	10	two	two	NUM
ap-9725	115	11	categories	category	NOUN
ap-9725	115	12	:	:	PUNCT
ap-9725	115	13	“	"	PUNCT
ap-9725	115	14	violence	violence	NOUN
ap-9725	115	15	”	"	PUNCT
ap-9725	115	16	and	and	CCONJ
ap-9725	115	17	“	"	PUNCT
ap-9725	115	18	nonviolence	nonviolence	NOUN
ap-9725	115	19	”	"	PUNCT
ap-9725	115	20	.	.	PUNCT
ap-9725	116	1	we	we	PRON
ap-9725	116	2	divide	divide	VERB
ap-9725	116	3	the	the	DET
ap-9725	116	4	examples	example	NOUN
ap-9725	116	5	evenly	evenly	ADV
ap-9725	116	6	between	between	ADP
ap-9725	116	7	the	the	DET
ap-9725	116	8	classes	class	NOUN
ap-9725	116	9	,	,	PUNCT
ap-9725	116	10	ensuring	ensure	VERB
ap-9725	116	11	a	a	DET
ap-9725	116	12	balanced	balanced	ADJ
ap-9725	116	13	basis	basis	NOUN
ap-9725	116	14	and	and	CCONJ
ap-9725	116	15	minimising	minimise	VERB
ap-9725	116	16	the	the	DET
ap-9725	116	17	risk	risk	NOUN
ap-9725	116	18	of	of	ADP
ap-9725	116	19	overfitting	overfitte	VERB
ap-9725	116	20	.	.	PUNCT
ap-9725	117	1	examples	example	NOUN
ap-9725	117	2	of	of	ADP
ap-9725	117	3	the	the	DET
ap-9725	117	4	“	"	PUNCT
ap-9725	117	5	violence	violence	NOUN
ap-9725	117	6	”	"	PUNCT
ap-9725	117	7	class	class	NOUN
ap-9725	117	8	are	be	AUX
ap-9725	117	9	samples	sample	NOUN
ap-9725	117	10	of	of	ADP
ap-9725	117	11	videos	video	NOUN
ap-9725	117	12	captured	capture	VERB
ap-9725	117	13	by	by	ADP
ap-9725	117	14	security	security	NOUN
ap-9725	117	15	cameras	camera	NOUN
ap-9725	117	16	,	,	PUNCT
ap-9725	117	17	film	film	NOUN
ap-9725	117	18	excerpts	excerpt	NOUN
ap-9725	117	19	,	,	PUNCT
ap-9725	117	20	and	and	CCONJ
ap-9725	117	21	real	real	ADJ
ap-9725	117	22	videos	video	NOUN
ap-9725	117	23	found	find	VERB
ap-9725	117	24	on	on	ADP
ap-9725	117	25	youtube	youtube	NOUN
ap-9725	117	26	.	.	PUNCT
ap-9725	118	1	the	the	DET
ap-9725	118	2	“	"	PUNCT
ap-9725	118	3	non	non	ADJ
ap-9725	118	4	-	-	ADJ
ap-9725	118	5	violence	violence	ADJ
ap-9725	118	6	”	"	PUNCT
ap-9725	118	7	class	class	NOUN
ap-9725	118	8	also	also	ADV
ap-9725	118	9	includes	include	VERB
ap-9725	118	10	real	real	ADJ
ap-9725	118	11	videos	video	NOUN
ap-9725	118	12	and	and	CCONJ
ap-9725	118	13	film	film	NOUN
ap-9725	118	14	excerpts	excerpt	NOUN
ap-9725	118	15	depicting	depict	VERB
ap-9725	118	16	everyday	everyday	ADJ
ap-9725	118	17	situations	situation	NOUN
ap-9725	118	18	,	,	PUNCT
ap-9725	118	19	such	such	ADJ
ap-9725	118	20	as	as	ADP
ap-9725	118	21	sports	sport	NOUN
ap-9725	118	22	practice	practice	NOUN
ap-9725	118	23	,	,	PUNCT
ap-9725	118	24	conversations	conversation	NOUN
ap-9725	118	25	,	,	PUNCT
ap-9725	118	26	openings	opening	NOUN
ap-9725	118	27	,	,	PUNCT
ap-9725	118	28	walking	walk	VERB
ap-9725	118	29	,	,	PUNCT
ap-9725	118	30	and	and	CCONJ
ap-9725	118	31	etc	etc	X
ap-9725	118	32	.	.	X
ap-9725	118	33	figure	figure	VERB
ap-9725	118	34	4	4	NUM
ap-9725	118	35	illustrates	illustrate	NOUN
ap-9725	118	36	,	,	PUNCT
ap-9725	118	37	using	use	VERB
ap-9725	118	38	frame	frame	NOUN
ap-9725	118	39	sequences	sequence	NOUN
ap-9725	118	40	,	,	PUNCT
ap-9725	118	41	a	a	DET
ap-9725	118	42	sample	sample	NOUN
ap-9725	118	43	from	from	ADP
ap-9725	118	44	each	each	DET
ap-9725	118	45	class	class	NOUN
ap-9725	118	46	in	in	ADP
ap-9725	118	47	the	the	DET
ap-9725	118	48	database	database	NOUN
ap-9725	118	49	.	.	PUNCT
ap-9725	119	1	the	the	DET
ap-9725	119	2	dataset	dataset	NOUN
ap-9725	119	3	is	be	AUX
ap-9725	119	4	available	available	ADJ
ap-9725	119	5	for	for	ADP
ap-9725	119	6	free	free	ADJ
ap-9725	119	7	,	,	PUNCT
ap-9725	119	8	online	online	ADV
ap-9725	119	9	on	on	ADP
ap-9725	119	10	[	[	X
ap-9725	119	11	19	19	NUM
ap-9725	119	12	]	]	PUNCT
ap-9725	119	13	.	.	PUNCT
ap-9725	120	1	when	when	SCONJ
ap-9725	120	2	analysing	analyse	VERB
ap-9725	120	3	the	the	DET
ap-9725	120	4	frames	frame	NOUN
ap-9725	120	5	individually	individually	ADV
ap-9725	120	6	,	,	PUNCT
ap-9725	120	7	there	there	PRON
ap-9725	120	8	is	be	VERB
ap-9725	120	9	a	a	DET
ap-9725	120	10	certain	certain	ADJ
ap-9725	120	11	difficulty	difficulty	NOUN
ap-9725	120	12	in	in	ADP
ap-9725	120	13	understanding	understand	VERB
ap-9725	120	14	the	the	DET
ap-9725	120	15	context	context	NOUN
ap-9725	120	16	of	of	ADP
ap-9725	120	17	the	the	DET
ap-9725	120	18	scene	scene	NOUN
ap-9725	120	19	in	in	ADP
ap-9725	120	20	question	question	NOUN
ap-9725	120	21	,	,	PUNCT
ap-9725	120	22	which	which	PRON
ap-9725	120	23	would	would	AUX
ap-9725	120	24	make	make	VERB
ap-9725	120	25	it	it	PRON
ap-9725	120	26	difficult	difficult	ADJ
ap-9725	120	27	to	to	PART
ap-9725	120	28	detect	detect	VERB
ap-9725	120	29	violence	violence	NOUN
ap-9725	120	30	from	from	ADP
ap-9725	120	31	static	static	ADJ
ap-9725	120	32	images	image	NOUN
ap-9725	120	33	.	.	PUNCT
ap-9725	121	1	in	in	ADP
ap-9725	121	2	the	the	DET
ap-9725	121	3	third	third	ADJ
ap-9725	121	4	frame	frame	NOUN
ap-9725	121	5	of	of	ADP
ap-9725	121	6	the	the	DET
ap-9725	121	7	example	example	NOUN
ap-9725	121	8	of	of	ADP
ap-9725	121	9	the	the	DET
ap-9725	121	10	“	"	PUNCT
ap-9725	121	11	violence	violence	NOUN
ap-9725	121	12	”	"	PUNCT
ap-9725	121	13	class	class	NOUN
ap-9725	121	14	,	,	PUNCT
ap-9725	121	15	for	for	ADP
ap-9725	121	16	example	example	NOUN
ap-9725	121	17	,	,	PUNCT
ap-9725	121	18	if	if	SCONJ
ap-9725	121	19	analysed	analyse	VERB
ap-9725	121	20	individually	individually	ADV
ap-9725	121	21	,	,	PUNCT
ap-9725	121	22	there	there	PRON
ap-9725	121	23	is	be	VERB
ap-9725	121	24	no	no	DET
ap-9725	121	25	way	way	NOUN
ap-9725	121	26	to	to	PART
ap-9725	121	27	state	state	VERB
ap-9725	121	28	whether	whether	SCONJ
ap-9725	121	29	or	or	CCONJ
ap-9725	121	30	not	not	PART
ap-9725	121	31	it	it	PRON
ap-9725	121	32	represents	represent	VERB
ap-9725	121	33	a	a	DET
ap-9725	121	34	violent	violent	ADJ
ap-9725	121	35	scene	scene	NOUN
ap-9725	121	36	;	;	PUNCT
ap-9725	121	37	however	however	ADV
ap-9725	121	38	,	,	PUNCT
ap-9725	121	39	when	when	SCONJ
ap-9725	121	40	analysing	analyse	VERB
ap-9725	121	41	the	the	DET
ap-9725	121	42	frames	frame	NOUN
ap-9725	121	43	in	in	ADP
ap-9725	121	44	sequence	sequence	NOUN
ap-9725	121	45	,	,	PUNCT
ap-9725	121	46	the	the	DET
ap-9725	121	47	characteristics	characteristic	NOUN
ap-9725	121	48	that	that	PRON
ap-9725	121	49	differentiate	differentiate	VERB
ap-9725	121	50	each	each	PRON
ap-9725	121	51	of	of	ADP
ap-9725	121	52	the	the	DET
ap-9725	121	53	classes	class	NOUN
ap-9725	121	54	are	be	AUX
ap-9725	121	55	more	more	ADV
ap-9725	121	56	evident	evident	ADJ
ap-9725	121	57	.	.	PUNCT
ap-9725	122	1	thus	thus	ADV
ap-9725	122	2	,	,	PUNCT
ap-9725	122	3	for	for	ADP
ap-9725	122	4	the	the	DET
ap-9725	122	5	video	video	NOUN
ap-9725	122	6	classification	classification	NOUN
ap-9725	122	7	task	task	NOUN
ap-9725	122	8	regarding	regard	VERB
ap-9725	122	9	the	the	DET
ap-9725	122	10	two	two	NUM
ap-9725	122	11	classes	class	NOUN
ap-9725	122	12	mentioned	mention	VERB
ap-9725	122	13	,	,	PUNCT
ap-9725	122	14	the	the	DET
ap-9725	122	15	use	use	NOUN
ap-9725	122	16	of	of	ADP
ap-9725	122	17	deep	deep	ADJ
ap-9725	122	18	learning	learning	NOUN
ap-9725	122	19	models	model	NOUN
ap-9725	122	20	for	for	ADP
ap-9725	122	21	the	the	DET
ap-9725	122	22	analysis	analysis	NOUN
ap-9725	122	23	of	of	ADP
ap-9725	122	24	temporally	temporally	ADV
ap-9725	122	25	dependent	dependent	ADJ
ap-9725	122	26	frames	frame	NOUN
ap-9725	122	27	is	be	AUX
ap-9725	122	28	potentially	potentially	ADV
ap-9725	122	29	a	a	DET
ap-9725	122	30	solution	solution	NOUN
ap-9725	122	31	to	to	ADP
ap-9725	122	32	this	this	DET
ap-9725	122	33	problem	problem	NOUN
ap-9725	122	34	.	.	PUNCT
ap-9725	123	1	3.2	3.2	NUM
ap-9725	123	2	.	.	PUNCT
ap-9725	124	1	preprocessing	preprocesse	VERB
ap-9725	124	2	the	the	DET
ap-9725	124	3	database	database	NOUN
ap-9725	124	4	presented	present	VERB
ap-9725	124	5	will	will	AUX
ap-9725	124	6	be	be	AUX
ap-9725	124	7	the	the	DET
ap-9725	124	8	one	one	NOUN
ap-9725	124	9	used	use	VERB
ap-9725	124	10	to	to	PART
ap-9725	124	11	carry	carry	VERB
ap-9725	124	12	out	out	ADP
ap-9725	124	13	supervised	supervised	ADJ
ap-9725	124	14	machine	machine	NOUN
ap-9725	124	15	learning	learn	VERB
ap-9725	124	16	with	with	ADP
ap-9725	124	17	the	the	DET
ap-9725	124	18	task	task	NOUN
ap-9725	124	19	of	of	ADP
ap-9725	124	20	binary	binary	ADJ
ap-9725	124	21	classification	classification	NOUN
ap-9725	124	22	between	between	ADP
ap-9725	124	23	the	the	DET
ap-9725	124	24	classes	class	NOUN
ap-9725	124	25	“	"	PUNCT
ap-9725	124	26	violence	violence	NOUN
ap-9725	124	27	”	"	PUNCT
ap-9725	124	28	and	and	CCONJ
ap-9725	124	29	“	"	PUNCT
ap-9725	124	30	non	non	ADJ
ap-9725	124	31	-	-	NOUN
ap-9725	124	32	violence	violence	NOUN
ap-9725	124	33	”	"	PUNCT
ap-9725	124	34	.	.	PUNCT
ap-9725	125	1	we	we	PRON
ap-9725	125	2	perform	perform	VERB
ap-9725	125	3	this	this	DET
ap-9725	125	4	task	task	NOUN
ap-9725	125	5	in	in	ADP
ap-9725	125	6	two	two	NUM
ap-9725	125	7	stages	stage	NOUN
ap-9725	125	8	:	:	PUNCT
ap-9725	125	9	the	the	DET
ap-9725	125	10	training	training	NOUN
ap-9725	125	11	phase	phase	NOUN
ap-9725	125	12	and	and	CCONJ
ap-9725	125	13	the	the	DET
ap-9725	125	14	validation	validation	NOUN
ap-9725	125	15	phase	phase	NOUN
ap-9725	125	16	.	.	PUNCT
ap-9725	126	1	we	we	PRON
ap-9725	126	2	use	use	VERB
ap-9725	126	3	the	the	DET
ap-9725	126	4	k	k	ADJ
ap-9725	126	5	-	-	ADJ
ap-9725	126	6	fold	fold	ADJ
ap-9725	126	7	cross	cross	ADJ
ap-9725	126	8	-	-	ADJ
ap-9725	126	9	validation	validation	ADJ
ap-9725	126	10	technique	technique	NOUN
ap-9725	126	11	for	for	ADP
ap-9725	126	12	this	this	PRON
ap-9725	126	13	,	,	PUNCT
ap-9725	126	14	with	with	ADP
ap-9725	126	15	k	k	PROPN
ap-9725	126	16	equal	equal	ADJ
ap-9725	126	17	to	to	ADP
ap-9725	126	18	10	10	NUM
ap-9725	126	19	.	.	PUNCT
ap-9725	127	1	we	we	PRON
ap-9725	127	2	divide	divide	VERB
ap-9725	127	3	the	the	DET
ap-9725	127	4	database	database	NOUN
ap-9725	127	5	into	into	ADP
ap-9725	127	6	10	10	NUM
ap-9725	127	7	equal	equal	ADJ
ap-9725	127	8	309	309	NUM
ap-9725	127	9	k.	k.	PROPN
ap-9725	127	10	merit	merit	PROPN
ap-9725	127	11	,	,	PUNCT
ap-9725	127	12	m.	m.	NOUN
ap-9725	127	13	beladgham	beladgham	PROPN
ap-9725	127	14	,	,	PUNCT
ap-9725	127	15	a.	a.	NOUN
ap-9725	127	16	taleb	taleb	PROPN
ap-9725	127	17	-	-	PUNCT
ap-9725	127	18	ahmed	ahme	VERB
ap-9725	127	19	acta	acta	PROPN
ap-9725	127	20	polytechnica	polytechnica	PROPN
ap-9725	127	21	parts	part	NOUN
ap-9725	127	22	,	,	PUNCT
ap-9725	127	23	also	also	ADV
ap-9725	127	24	known	know	VERB
ap-9725	127	25	as	as	ADP
ap-9725	127	26	splits	split	NOUN
ap-9725	127	27	,	,	PUNCT
ap-9725	127	28	and	and	CCONJ
ap-9725	127	29	use	use	VERB
ap-9725	127	30	each	each	DET
ap-9725	127	31	split	split	NOUN
ap-9725	127	32	as	as	ADP
ap-9725	127	33	a	a	DET
ap-9725	127	34	validation	validation	NOUN
ap-9725	127	35	set	set	NOUN
ap-9725	127	36	and	and	CCONJ
ap-9725	127	37	the	the	DET
ap-9725	127	38	others	other	NOUN
ap-9725	127	39	as	as	ADP
ap-9725	127	40	a	a	DET
ap-9725	127	41	training	training	NOUN
ap-9725	127	42	set	set	VERB
ap-9725	127	43	at	at	ADP
ap-9725	127	44	each	each	DET
ap-9725	127	45	iteration	iteration	NOUN
ap-9725	127	46	.	.	PUNCT
ap-9725	128	1	this	this	PRON
ap-9725	128	2	is	be	AUX
ap-9725	128	3	repeated	repeat	VERB
ap-9725	128	4	10	10	NUM
ap-9725	128	5	times	time	NOUN
ap-9725	128	6	,	,	PUNCT
ap-9725	128	7	that	that	ADV
ap-9725	128	8	is	is	ADV
ap-9725	128	9	,	,	PUNCT
ap-9725	128	10	until	until	SCONJ
ap-9725	128	11	all	all	DET
ap-9725	128	12	splits	split	NOUN
ap-9725	128	13	have	have	AUX
ap-9725	128	14	been	be	AUX
ap-9725	128	15	used	use	VERB
ap-9725	128	16	as	as	ADP
ap-9725	128	17	a	a	DET
ap-9725	128	18	validation	validation	NOUN
ap-9725	128	19	set	set	NOUN
ap-9725	128	20	.	.	PUNCT
ap-9725	129	1	during	during	ADP
ap-9725	129	2	the	the	DET
ap-9725	129	3	training	training	NOUN
ap-9725	129	4	phase	phase	NOUN
ap-9725	129	5	of	of	ADP
ap-9725	129	6	each	each	DET
ap-9725	129	7	iteration	iteration	NOUN
ap-9725	129	8	,	,	PUNCT
ap-9725	129	9	the	the	DET
ap-9725	129	10	examples	example	NOUN
ap-9725	129	11	of	of	ADP
ap-9725	129	12	the	the	DET
ap-9725	129	13	training	training	NOUN
ap-9725	129	14	set	set	NOUN
ap-9725	129	15	(	(	PUNCT
ap-9725	129	16	the	the	DET
ap-9725	129	17	result	result	NOUN
ap-9725	129	18	of	of	ADP
ap-9725	129	19	the	the	DET
ap-9725	129	20	union	union	NOUN
ap-9725	129	21	of	of	ADP
ap-9725	129	22	all	all	DET
ap-9725	129	23	subsets	subset	NOUN
ap-9725	129	24	except	except	SCONJ
ap-9725	129	25	the	the	DET
ap-9725	129	26	validation	validation	NOUN
ap-9725	129	27	set	set	NOUN
ap-9725	129	28	)	)	PUNCT
ap-9725	129	29	will	will	AUX
ap-9725	129	30	be	be	AUX
ap-9725	129	31	presented	present	VERB
ap-9725	129	32	to	to	ADP
ap-9725	129	33	the	the	DET
ap-9725	129	34	neural	neural	ADJ
ap-9725	129	35	networks	network	NOUN
ap-9725	129	36	,	,	PUNCT
ap-9725	129	37	whose	whose	DET
ap-9725	129	38	architectures	architecture	NOUN
ap-9725	129	39	will	will	AUX
ap-9725	129	40	be	be	AUX
ap-9725	129	41	presented	present	VERB
ap-9725	129	42	in	in	ADP
ap-9725	129	43	subsection	subsection	NOUN
ap-9725	129	44	3.4	3.4	NUM
ap-9725	129	45	,	,	PUNCT
ap-9725	129	46	in	in	ADP
ap-9725	129	47	a	a	DET
ap-9725	129	48	total	total	NOUN
ap-9725	129	49	of	of	ADP
ap-9725	129	50	50	50	NUM
ap-9725	129	51	epochs	epoch	NOUN
ap-9725	129	52	,	,	PUNCT
ap-9725	129	53	so	so	SCONJ
ap-9725	129	54	that	that	SCONJ
ap-9725	129	55	there	there	PRON
ap-9725	129	56	are	be	VERB
ap-9725	129	57	adjustments	adjustment	NOUN
ap-9725	129	58	to	to	ADP
ap-9725	129	59	their	their	PRON
ap-9725	129	60	trainable	trainable	ADJ
ap-9725	129	61	parameters	parameter	NOUN
ap-9725	129	62	,	,	PUNCT
ap-9725	129	63	thus	thus	ADV
ap-9725	129	64	generating	generate	VERB
ap-9725	129	65	intelligent	intelligent	ADJ
ap-9725	129	66	models	model	NOUN
ap-9725	129	67	.	.	PUNCT
ap-9725	130	1	to	to	PART
ap-9725	130	2	ensure	ensure	VERB
ap-9725	130	3	the	the	DET
ap-9725	130	4	generalisation	generalisation	NOUN
ap-9725	130	5	power	power	NOUN
ap-9725	130	6	of	of	ADP
ap-9725	130	7	the	the	DET
ap-9725	130	8	models	model	NOUN
ap-9725	130	9	,	,	PUNCT
ap-9725	130	10	in	in	ADP
ap-9725	130	11	the	the	DET
ap-9725	130	12	validation	validation	NOUN
ap-9725	130	13	phase	phase	NOUN
ap-9725	130	14	of	of	ADP
ap-9725	130	15	each	each	DET
ap-9725	130	16	iteration	iteration	NOUN
ap-9725	130	17	,	,	PUNCT
ap-9725	130	18	examples	example	NOUN
ap-9725	130	19	of	of	ADP
ap-9725	130	20	the	the	DET
ap-9725	130	21	validation	validation	NOUN
ap-9725	130	22	set	set	NOUN
ap-9725	130	23	,	,	PUNCT
ap-9725	130	24	not	not	PART
ap-9725	130	25	used	use	VERB
ap-9725	130	26	in	in	ADP
ap-9725	130	27	the	the	DET
ap-9725	130	28	training	training	NOUN
ap-9725	130	29	phase	phase	NOUN
ap-9725	130	30	,	,	PUNCT
ap-9725	130	31	will	will	AUX
ap-9725	130	32	be	be	AUX
ap-9725	130	33	presented	present	VERB
ap-9725	130	34	to	to	ADP
ap-9725	130	35	the	the	DET
ap-9725	130	36	models	model	NOUN
ap-9725	130	37	,	,	PUNCT
ap-9725	130	38	and	and	CCONJ
ap-9725	130	39	their	their	PRON
ap-9725	130	40	outputs	output	NOUN
ap-9725	130	41	obtained	obtain	VERB
ap-9725	130	42	will	will	AUX
ap-9725	130	43	be	be	AUX
ap-9725	130	44	compared	compare	VERB
ap-9725	130	45	to	to	ADP
ap-9725	130	46	the	the	DET
ap-9725	130	47	desired	desire	VERB
ap-9725	130	48	outputs	output	NOUN
ap-9725	130	49	for	for	ADP
ap-9725	130	50	each	each	DET
ap-9725	130	51	example	example	NOUN
ap-9725	130	52	to	to	PART
ap-9725	130	53	evaluate	evaluate	VERB
ap-9725	130	54	their	their	PRON
ap-9725	130	55	performance	performance	NOUN
ap-9725	130	56	according	accord	VERB
ap-9725	130	57	to	to	ADP
ap-9725	130	58	the	the	DET
ap-9725	130	59	metrics	metric	NOUN
ap-9725	130	60	presented	present	VERB
ap-9725	130	61	in	in	ADP
ap-9725	130	62	subsection	subsection	NOUN
ap-9725	130	63	3.6	3.6	NUM
ap-9725	130	64	.	.	PUNCT
ap-9725	131	1	after	after	SCONJ
ap-9725	131	2	all	all	DET
ap-9725	131	3	training	training	NOUN
ap-9725	131	4	and	and	CCONJ
ap-9725	131	5	validation	validation	NOUN
ap-9725	131	6	rounds	round	NOUN
ap-9725	131	7	have	have	AUX
ap-9725	131	8	been	be	AUX
ap-9725	131	9	performed	perform	VERB
ap-9725	131	10	,	,	PUNCT
ap-9725	131	11	the	the	DET
ap-9725	131	12	performance	performance	NOUN
ap-9725	131	13	metrics	metric	NOUN
ap-9725	131	14	will	will	AUX
ap-9725	131	15	be	be	AUX
ap-9725	131	16	considered	consider	VERB
ap-9725	131	17	using	use	VERB
ap-9725	131	18	the	the	DET
ap-9725	131	19	arithmetic	arithmetic	ADJ
ap-9725	131	20	method	method	NOUN
ap-9725	131	21	and	and	CCONJ
ap-9725	131	22	the	the	DET
ap-9725	131	23	standard	standard	ADJ
ap-9725	131	24	deviation	deviation	NOUN
ap-9725	131	25	of	of	ADP
ap-9725	131	26	the	the	DET
ap-9725	131	27	performance	performance	NOUN
ap-9725	131	28	obtained	obtain	VERB
ap-9725	131	29	in	in	ADP
ap-9725	131	30	the	the	DET
ap-9725	131	31	cross	cross	NOUN
ap-9725	131	32	-	-	NOUN
ap-9725	131	33	validation	validation	NOUN
ap-9725	131	34	.	.	PUNCT
ap-9725	132	1	3.3	3.3	NUM
ap-9725	132	2	.	.	PUNCT
ap-9725	132	3	temporal	temporal	ADJ
ap-9725	132	4	fusion	fusion	NOUN
ap-9725	132	5	the	the	DET
ap-9725	132	6	use	use	NOUN
ap-9725	132	7	of	of	ADP
ap-9725	132	8	videos	video	NOUN
ap-9725	132	9	as	as	ADP
ap-9725	132	10	predictive	predictive	ADJ
ap-9725	132	11	attributes	attribute	NOUN
ap-9725	132	12	in	in	ADP
ap-9725	132	13	machine	machine	NOUN
ap-9725	132	14	learning	learning	NOUN
ap-9725	132	15	models	model	NOUN
ap-9725	132	16	presents	present	VERB
ap-9725	132	17	a	a	DET
ap-9725	132	18	significant	significant	ADJ
ap-9725	132	19	challenge	challenge	NOUN
ap-9725	132	20	.	.	PUNCT
ap-9725	133	1	the	the	DET
ap-9725	133	2	main	main	ADJ
ap-9725	133	3	concern	concern	NOUN
ap-9725	133	4	is	be	AUX
ap-9725	133	5	to	to	PART
ap-9725	133	6	maintain	maintain	VERB
ap-9725	133	7	the	the	DET
ap-9725	133	8	temporal	temporal	ADJ
ap-9725	133	9	characteristics	characteristic	NOUN
ap-9725	133	10	in	in	ADP
ap-9725	133	11	these	these	DET
ap-9725	133	12	data	datum	NOUN
ap-9725	133	13	without	without	ADP
ap-9725	133	14	the	the	DET
ap-9725	133	15	number	number	NOUN
ap-9725	133	16	of	of	ADP
ap-9725	133	17	frames	frame	NOUN
ap-9725	133	18	used	use	VERB
ap-9725	133	19	,	,	PUNCT
ap-9725	133	20	making	make	VERB
ap-9725	133	21	the	the	DET
ap-9725	133	22	training	training	NOUN
ap-9725	133	23	of	of	ADP
ap-9725	133	24	these	these	DET
ap-9725	133	25	models	model	NOUN
ap-9725	133	26	unfeasible	unfeasible	ADJ
ap-9725	133	27	.	.	PUNCT
ap-9725	134	1	an	an	DET
ap-9725	134	2	approach	approach	NOUN
ap-9725	134	3	to	to	ADP
ap-9725	134	4	the	the	DET
ap-9725	134	5	representation	representation	NOUN
ap-9725	134	6	of	of	ADP
ap-9725	134	7	videos	video	NOUN
ap-9725	134	8	is	be	AUX
ap-9725	134	9	tf	tf	PROPN
ap-9725	134	10	,	,	PUNCT
ap-9725	134	11	which	which	PRON
ap-9725	134	12	,	,	PUNCT
ap-9725	134	13	according	accord	VERB
ap-9725	134	14	to	to	ADP
ap-9725	134	15	[	[	X
ap-9725	134	16	20	20	NUM
ap-9725	134	17	]	]	PUNCT
ap-9725	134	18	,	,	PUNCT
ap-9725	134	19	presents	present	VERB
ap-9725	134	20	several	several	ADJ
ap-9725	134	21	forms	form	NOUN
ap-9725	134	22	of	of	ADP
ap-9725	134	23	association	association	NOUN
ap-9725	134	24	between	between	ADP
ap-9725	134	25	the	the	DET
ap-9725	134	26	frames	frame	NOUN
ap-9725	134	27	of	of	ADP
ap-9725	134	28	a	a	DET
ap-9725	134	29	video	video	NOUN
ap-9725	134	30	.	.	PUNCT
ap-9725	135	1	figure	figure	NOUN
ap-9725	135	2	5	5	NUM
ap-9725	135	3	illustrates	illustrate	VERB
ap-9725	135	4	these	these	DET
ap-9725	135	5	different	different	ADJ
ap-9725	135	6	forms	form	NOUN
ap-9725	135	7	of	of	ADP
ap-9725	135	8	data	datum	NOUN
ap-9725	135	9	representation	representation	NOUN
ap-9725	135	10	.	.	PUNCT
ap-9725	136	1	(	(	PUNCT
ap-9725	136	2	1	1	NUM
ap-9725	136	3	.	.	PUNCT
ap-9725	136	4	)	)	PUNCT
ap-9725	137	1	late	late	ADJ
ap-9725	137	2	fusion	fusion	NOUN
ap-9725	137	3	:	:	PUNCT
ap-9725	137	4	consists	consist	VERB
ap-9725	137	5	of	of	ADP
ap-9725	137	6	the	the	DET
ap-9725	137	7	use	use	NOUN
ap-9725	137	8	of	of	ADP
ap-9725	137	9	the	the	DET
ap-9725	137	10	first	first	ADJ
ap-9725	137	11	and	and	CCONJ
ap-9725	137	12	last	last	ADJ
ap-9725	137	13	frames	frame	NOUN
ap-9725	137	14	of	of	ADP
ap-9725	137	15	each	each	DET
ap-9725	137	16	example	example	NOUN
ap-9725	137	17	to	to	PART
ap-9725	137	18	analyse	analyse	VERB
ap-9725	137	19	the	the	DET
ap-9725	137	20	beginning	beginning	NOUN
ap-9725	137	21	and	and	CCONJ
ap-9725	137	22	end	end	NOUN
ap-9725	137	23	of	of	ADP
ap-9725	137	24	the	the	DET
ap-9725	137	25	action	action	NOUN
ap-9725	137	26	represented	represent	VERB
ap-9725	137	27	in	in	ADP
ap-9725	137	28	each	each	DET
ap-9725	137	29	video	video	NOUN
ap-9725	137	30	.	.	PUNCT
ap-9725	138	1	this	this	DET
ap-9725	138	2	approach	approach	NOUN
ap-9725	138	3	first	first	ADV
ap-9725	138	4	processes	process	VERB
ap-9725	138	5	each	each	PRON
ap-9725	138	6	of	of	ADP
ap-9725	138	7	the	the	DET
ap-9725	138	8	frames	frame	NOUN
ap-9725	138	9	individually	individually	ADV
ap-9725	138	10	,	,	PUNCT
ap-9725	138	11	then	then	ADV
ap-9725	138	12	processes	process	VERB
ap-9725	138	13	the	the	DET
ap-9725	138	14	outputs	output	NOUN
ap-9725	138	15	in	in	ADP
ap-9725	138	16	a	a	DET
ap-9725	138	17	related	relate	VERB
ap-9725	138	18	manner	manner	NOUN
ap-9725	138	19	,	,	PUNCT
ap-9725	138	20	as	as	SCONJ
ap-9725	138	21	illustrated	illustrate	VERB
ap-9725	138	22	in	in	ADP
ap-9725	138	23	figure	figure	NOUN
ap-9725	138	24	5a	5a	NUM
ap-9725	138	25	.	.	PUNCT
ap-9725	139	1	the	the	DET
ap-9725	139	2	technique	technique	NOUN
ap-9725	139	3	has	have	VERB
ap-9725	139	4	this	this	DET
ap-9725	139	5	name	name	NOUN
ap-9725	139	6	,	,	PUNCT
ap-9725	139	7	late	late	ADJ
ap-9725	139	8	fusion	fusion	NOUN
ap-9725	139	9	(	(	PUNCT
ap-9725	139	10	lf	lf	NOUN
ap-9725	139	11	)	)	PUNCT
ap-9725	139	12	,	,	PUNCT
ap-9725	139	13	because	because	SCONJ
ap-9725	139	14	it	it	PRON
ap-9725	139	15	deals	deal	VERB
ap-9725	139	16	with	with	ADP
ap-9725	139	17	the	the	DET
ap-9725	139	18	fusion	fusion	NOUN
ap-9725	139	19	,	,	PUNCT
ap-9725	139	20	after	after	ADP
ap-9725	139	21	processing	processing	NOUN
ap-9725	139	22	,	,	PUNCT
ap-9725	139	23	of	of	ADP
ap-9725	139	24	the	the	DET
ap-9725	139	25	characteristics	characteristic	NOUN
ap-9725	139	26	of	of	ADP
ap-9725	139	27	the	the	DET
ap-9725	139	28	frames	frame	NOUN
ap-9725	139	29	with	with	ADP
ap-9725	139	30	the	the	DET
ap-9725	139	31	greatest	great	ADJ
ap-9725	139	32	temporal	temporal	ADJ
ap-9725	139	33	distance	distance	NOUN
ap-9725	139	34	from	from	ADP
ap-9725	139	35	each	each	DET
ap-9725	139	36	other	other	ADJ
ap-9725	139	37	,	,	PUNCT
ap-9725	139	38	that	that	ADV
ap-9725	139	39	is	is	ADV
ap-9725	139	40	,	,	PUNCT
ap-9725	139	41	that	that	PRON
ap-9725	139	42	delimit	delimit	VERB
ap-9725	139	43	the	the	DET
ap-9725	139	44	beginning	beginning	NOUN
ap-9725	139	45	and	and	CCONJ
ap-9725	139	46	end	end	NOUN
ap-9725	139	47	of	of	ADP
ap-9725	139	48	a	a	DET
ap-9725	139	49	scene	scene	NOUN
ap-9725	139	50	.	.	PUNCT
ap-9725	140	1	(	(	PUNCT
ap-9725	140	2	2	2	NUM
ap-9725	140	3	.	.	PUNCT
ap-9725	140	4	)	)	PUNCT
ap-9725	140	5	early	early	ADJ
ap-9725	140	6	fusion	fusion	NOUN
ap-9725	140	7	:	:	PUNCT
ap-9725	140	8	consists	consist	VERB
ap-9725	140	9	of	of	ADP
ap-9725	140	10	processing	processing	NOUN
ap-9725	140	11	by	by	ADP
ap-9725	140	12	a	a	DET
ap-9725	140	13	model	model	NOUN
ap-9725	140	14	of	of	ADP
ap-9725	140	15	concatenated	concatenate	VERB
ap-9725	140	16	frames	frame	NOUN
ap-9725	140	17	of	of	ADP
ap-9725	140	18	each	each	DET
ap-9725	140	19	video	video	NOUN
ap-9725	140	20	.	.	PUNCT
ap-9725	141	1	figure	figure	NOUN
ap-9725	141	2	5b	5b	PROPN
ap-9725	141	3	illustrates	illustrate	VERB
ap-9725	141	4	this	this	DET
ap-9725	141	5	technique	technique	NOUN
ap-9725	141	6	of	of	ADP
ap-9725	141	7	representing	represent	VERB
ap-9725	141	8	the	the	DET
ap-9725	141	9	input	input	NOUN
ap-9725	141	10	data	datum	NOUN
ap-9725	141	11	.	.	PUNCT
ap-9725	142	1	this	this	DET
ap-9725	142	2	technique	technique	NOUN
ap-9725	142	3	is	be	AUX
ap-9725	142	4	named	name	VERB
ap-9725	142	5	early	early	ADJ
ap-9725	142	6	fusion	fusion	NOUN
ap-9725	142	7	(	(	PUNCT
ap-9725	142	8	ef	ef	PROPN
ap-9725	142	9	)	)	PUNCT
ap-9725	142	10	because	because	SCONJ
ap-9725	142	11	data	datum	NOUN
ap-9725	142	12	fusion	fusion	NOUN
ap-9725	142	13	occurs	occur	VERB
ap-9725	142	14	before	before	ADP
ap-9725	142	15	any	any	DET
ap-9725	142	16	frame	frame	NOUN
ap-9725	142	17	undergoes	undergoe	NOUN
ap-9725	142	18	processing	processing	NOUN
ap-9725	142	19	.	.	PUNCT
ap-9725	143	1	(	(	PUNCT
ap-9725	143	2	3	3	NUM
ap-9725	143	3	.	.	PUNCT
ap-9725	143	4	)	)	PUNCT
ap-9725	143	5	slow	slow	ADJ
ap-9725	143	6	fusion	fusion	NOUN
ap-9725	143	7	:	:	PUNCT
ap-9725	143	8	this	this	DET
ap-9725	143	9	technique	technique	NOUN
ap-9725	143	10	involves	involve	VERB
ap-9725	143	11	separate	separate	ADJ
ap-9725	143	12	model	model	NOUN
ap-9725	143	13	processing	processing	NOUN
ap-9725	143	14	of	of	ADP
ap-9725	143	15	the	the	DET
ap-9725	143	16	video	video	NOUN
ap-9725	143	17	frames	frame	NOUN
ap-9725	143	18	,	,	PUNCT
ap-9725	143	19	followed	follow	VERB
ap-9725	143	20	by	by	ADP
ap-9725	143	21	related	related	ADJ
ap-9725	143	22	processing	processing	NOUN
ap-9725	143	23	of	of	ADP
ap-9725	143	24	the	the	DET
ap-9725	143	25	outputs	output	NOUN
ap-9725	143	26	,	,	PUNCT
ap-9725	143	27	as	as	SCONJ
ap-9725	143	28	shown	show	VERB
ap-9725	143	29	in	in	ADP
ap-9725	143	30	figure	figure	NOUN
ap-9725	143	31	5c	5c	NOUN
ap-9725	143	32	.	.	PUNCT
ap-9725	144	1	this	this	DET
ap-9725	144	2	technique	technique	NOUN
ap-9725	144	3	,	,	PUNCT
ap-9725	144	4	known	know	VERB
ap-9725	144	5	as	as	ADP
ap-9725	144	6	slow	slow	ADJ
ap-9725	144	7	fusion	fusion	NOUN
ap-9725	144	8	(	(	PUNCT
ap-9725	144	9	sf	sf	NOUN
ap-9725	144	10	)	)	PUNCT
ap-9725	144	11	,	,	PUNCT
ap-9725	144	12	associates	associate	VERB
ap-9725	144	13	several	several	ADJ
ap-9725	144	14	frames	frame	NOUN
ap-9725	144	15	temporally	temporally	ADV
ap-9725	144	16	after	after	ADP
ap-9725	144	17	undergoing	undergo	VERB
ap-9725	144	18	specific	specific	ADJ
ap-9725	144	19	processing	processing	NOUN
ap-9725	144	20	.	.	PUNCT
ap-9725	145	1	the	the	DET
ap-9725	145	2	authors	author	NOUN
ap-9725	145	3	also	also	ADV
ap-9725	145	4	present	present	VERB
ap-9725	145	5	the	the	DET
ap-9725	145	6	single	single	ADJ
ap-9725	145	7	-	-	PUNCT
ap-9725	145	8	frame	frame	NOUN
ap-9725	145	9	technique	technique	NOUN
ap-9725	145	10	in	in	ADP
ap-9725	145	11	[	[	X
ap-9725	145	12	20	20	NUM
ap-9725	145	13	]	]	PUNCT
ap-9725	145	14	,	,	PUNCT
ap-9725	145	15	which	which	PRON
ap-9725	145	16	selects	select	VERB
ap-9725	145	17	only	only	ADV
ap-9725	145	18	one	one	NUM
ap-9725	145	19	frame	frame	NOUN
ap-9725	145	20	from	from	ADP
ap-9725	145	21	each	each	DET
ap-9725	145	22	video	video	NOUN
ap-9725	145	23	(	(	PUNCT
ap-9725	145	24	a	a	NOUN
ap-9725	145	25	)	)	PUNCT
ap-9725	145	26	.	.	PUNCT
ap-9725	146	1	late	late	ADJ
ap-9725	146	2	fusion	fusion	NOUN
ap-9725	146	3	.	.	PUNCT
ap-9725	147	1	(	(	PUNCT
ap-9725	147	2	b	b	NOUN
ap-9725	147	3	)	)	PUNCT
ap-9725	147	4	.	.	PUNCT
ap-9725	148	1	early	early	ADJ
ap-9725	148	2	fusion	fusion	NOUN
ap-9725	148	3	.	.	PUNCT
ap-9725	149	1	(	(	PUNCT
ap-9725	149	2	c	c	NOUN
ap-9725	149	3	)	)	PUNCT
ap-9725	149	4	.	.	PUNCT
ap-9725	150	1	slow	slow	ADJ
ap-9725	150	2	fusion	fusion	NOUN
ap-9725	150	3	.	.	PUNCT
ap-9725	151	1	figure	figure	NOUN
ap-9725	151	2	5	5	NUM
ap-9725	151	3	.	.	PUNCT
ap-9725	151	4	general	general	ADJ
ap-9725	151	5	architecture	architecture	NOUN
ap-9725	151	6	of	of	ADP
ap-9725	151	7	temporal	temporal	ADJ
ap-9725	151	8	fusion	fusion	NOUN
ap-9725	151	9	techniques	technique	NOUN
ap-9725	151	10	for	for	ADP
ap-9725	151	11	the	the	DET
ap-9725	151	12	representation	representation	NOUN
ap-9725	151	13	of	of	ADP
ap-9725	151	14	a	a	DET
ap-9725	151	15	video	video	NOUN
ap-9725	151	16	through	through	ADP
ap-9725	151	17	the	the	DET
ap-9725	151	18	association	association	NOUN
ap-9725	151	19	of	of	ADP
ap-9725	151	20	frames	frame	NOUN
ap-9725	151	21	.	.	PUNCT
ap-9725	152	1	as	as	ADP
ap-9725	152	2	its	its	PRON
ap-9725	152	3	representative	representative	NOUN
ap-9725	152	4	.	.	PUNCT
ap-9725	153	1	this	this	DET
ap-9725	153	2	work	work	NOUN
ap-9725	153	3	treats	treat	VERB
ap-9725	153	4	the	the	DET
ap-9725	153	5	problem	problem	NOUN
ap-9725	153	6	as	as	ADP
ap-9725	153	7	an	an	DET
ap-9725	153	8	image	image	NOUN
ap-9725	153	9	classification	classification	NOUN
ap-9725	153	10	task	task	NOUN
ap-9725	153	11	and	and	CCONJ
ap-9725	153	12	does	do	AUX
ap-9725	153	13	not	not	PART
ap-9725	153	14	address	address	VERB
ap-9725	153	15	the	the	DET
ap-9725	153	16	technique	technique	NOUN
ap-9725	153	17	.	.	PUNCT
ap-9725	154	1	this	this	DET
ap-9725	154	2	work	work	NOUN
ap-9725	154	3	exclusively	exclusively	ADV
ap-9725	154	4	used	use	VERB
ap-9725	154	5	techniques	technique	NOUN
ap-9725	154	6	for	for	ADP
ap-9725	154	7	video	video	NOUN
ap-9725	154	8	representation	representation	NOUN
ap-9725	154	9	.	.	PUNCT
ap-9725	155	1	the	the	DET
ap-9725	155	2	slow	slow	ADJ
ap-9725	155	3	fusion	fusion	NOUN
ap-9725	155	4	and	and	CCONJ
ap-9725	155	5	early	early	ADJ
ap-9725	155	6	fusion	fusion	NOUN
ap-9725	155	7	approaches	approach	NOUN
ap-9725	155	8	require	require	VERB
ap-9725	155	9	the	the	DET
ap-9725	155	10	selection	selection	NOUN
ap-9725	155	11	of	of	ADP
ap-9725	155	12	video	video	NOUN
ap-9725	155	13	frames	frame	NOUN
ap-9725	155	14	to	to	PART
ap-9725	155	15	accurately	accurately	ADV
ap-9725	155	16	represent	represent	VERB
ap-9725	155	17	the	the	DET
ap-9725	155	18	subject	subject	NOUN
ap-9725	155	19	.	.	PUNCT
ap-9725	156	1	the	the	DET
ap-9725	156	2	number	number	NOUN
ap-9725	156	3	of	of	ADP
ap-9725	156	4	frames	frame	NOUN
ap-9725	156	5	chosen	choose	VERB
ap-9725	156	6	for	for	ADP
ap-9725	156	7	these	these	DET
ap-9725	156	8	approaches	approach	NOUN
ap-9725	156	9	can	can	AUX
ap-9725	156	10	be	be	AUX
ap-9725	156	11	neither	neither	CCONJ
ap-9725	156	12	too	too	ADV
ap-9725	156	13	large	large	ADJ
ap-9725	156	14	,	,	PUNCT
ap-9725	156	15	to	to	ADP
ap-9725	156	16	the	the	DET
ap-9725	156	17	point	point	NOUN
ap-9725	156	18	of	of	ADP
ap-9725	156	19	making	make	VERB
ap-9725	156	20	training	training	NOUN
ap-9725	156	21	unfeasible	unfeasible	ADJ
ap-9725	156	22	,	,	PUNCT
ap-9725	156	23	or	or	CCONJ
ap-9725	156	24	too	too	ADV
ap-9725	156	25	small	small	ADJ
ap-9725	156	26	,	,	PUNCT
ap-9725	156	27	to	to	ADP
ap-9725	156	28	the	the	DET
ap-9725	156	29	point	point	NOUN
ap-9725	156	30	that	that	SCONJ
ap-9725	156	31	there	there	PRON
ap-9725	156	32	are	be	VERB
ap-9725	156	33	significant	significant	ADJ
ap-9725	156	34	losses	loss	NOUN
ap-9725	156	35	in	in	ADP
ap-9725	156	36	the	the	DET
ap-9725	156	37	temporal	temporal	ADJ
ap-9725	156	38	characteristics	characteristic	NOUN
ap-9725	156	39	of	of	ADP
ap-9725	156	40	the	the	DET
ap-9725	156	41	video	video	NOUN
ap-9725	156	42	.	.	PUNCT
ap-9725	157	1	we	we	PRON
ap-9725	157	2	decided	decide	VERB
ap-9725	157	3	to	to	PART
ap-9725	157	4	use	use	VERB
ap-9725	157	5	2	2	NUM
ap-9725	157	6	frames	frame	NOUN
ap-9725	157	7	per	per	ADP
ap-9725	157	8	second	second	NOUN
ap-9725	157	9	,	,	PUNCT
ap-9725	157	10	as	as	SCONJ
ap-9725	157	11	suggested	suggest	VERB
ap-9725	157	12	in	in	ADP
ap-9725	157	13	[	[	X
ap-9725	157	14	20	20	NUM
ap-9725	157	15	]	]	PUNCT
ap-9725	157	16	,	,	PUNCT
ap-9725	157	17	for	for	ADP
ap-9725	157	18	videos	video	NOUN
ap-9725	157	19	with	with	ADP
ap-9725	157	20	an	an	DET
ap-9725	157	21	average	average	ADJ
ap-9725	157	22	duration	duration	NOUN
ap-9725	157	23	of	of	ADP
ap-9725	157	24	10	10	NUM
ap-9725	157	25	frames	frame	NOUN
ap-9725	157	26	per	per	ADP
ap-9725	157	27	video	video	NOUN
ap-9725	157	28	,	,	PUNCT
ap-9725	157	29	given	give	VERB
ap-9725	157	30	that	that	SCONJ
ap-9725	157	31	the	the	DET
ap-9725	157	32	videos	video	NOUN
ap-9725	157	33	in	in	ADP
ap-9725	157	34	the	the	DET
ap-9725	157	35	database	database	NOUN
ap-9725	157	36	average	average	NOUN
ap-9725	157	37	at	at	ADP
ap-9725	157	38	about	about	ADV
ap-9725	157	39	5	5	NUM
ap-9725	157	40	seconds	second	NOUN
ap-9725	157	41	.	.	PUNCT
ap-9725	158	1	we	we	PRON
ap-9725	158	2	applied	apply	VERB
ap-9725	158	3	this	this	DET
ap-9725	158	4	number	number	NOUN
ap-9725	158	5	of	of	ADP
ap-9725	158	6	frames	frame	NOUN
ap-9725	158	7	to	to	ADP
ap-9725	158	8	all	all	DET
ap-9725	158	9	base	base	NOUN
ap-9725	158	10	videos	video	NOUN
ap-9725	158	11	,	,	PUNCT
ap-9725	158	12	resulting	result	VERB
ap-9725	158	13	in	in	ADP
ap-9725	158	14	a	a	DET
ap-9725	158	15	variation	variation	NOUN
ap-9725	158	16	in	in	ADP
ap-9725	158	17	frames	frame	NOUN
ap-9725	158	18	per	per	ADP
ap-9725	158	19	second	second	ADV
ap-9725	158	20	sampled	sample	VERB
ap-9725	158	21	while	while	SCONJ
ap-9725	158	22	maintaining	maintain	VERB
ap-9725	158	23	a	a	DET
ap-9725	158	24	fixed	fix	VERB
ap-9725	158	25	number	number	NOUN
ap-9725	158	26	of	of	ADP
ap-9725	158	27	frames	frame	NOUN
ap-9725	158	28	per	per	ADP
ap-9725	158	29	video	video	NOUN
ap-9725	158	30	.	.	PUNCT
ap-9725	159	1	we	we	PRON
ap-9725	159	2	extracted	extract	VERB
ap-9725	159	3	the	the	DET
ap-9725	159	4	frames	frame	NOUN
ap-9725	159	5	from	from	ADP
ap-9725	159	6	videos	video	NOUN
ap-9725	159	7	with	with	ADP
ap-9725	159	8	duration	duration	NOUN
ap-9725	159	9	times	time	NOUN
ap-9725	159	10	that	that	PRON
ap-9725	159	11	differed	differ	VERB
ap-9725	159	12	from	from	ADP
ap-9725	159	13	the	the	DET
ap-9725	159	14	average	average	ADJ
ap-9725	159	15	,	,	PUNCT
ap-9725	159	16	evenly	evenly	ADV
ap-9725	159	17	spaced	space	VERB
ap-9725	159	18	over	over	ADP
ap-9725	159	19	time	time	NOUN
ap-9725	159	20	.	.	PUNCT
ap-9725	160	1	310	310	NUM
ap-9725	160	2	vol	vol	NOUN
ap-9725	160	3	.	.	PUNCT
ap-9725	161	1	65	65	NUM
ap-9725	161	2	no	no	NOUN
ap-9725	161	3	.	.	PUNCT
ap-9725	162	1	3/2025	3/2025	NUM
ap-9725	162	2	temporal	temporal	ADJ
ap-9725	162	3	fusion	fusion	NOUN
ap-9725	162	4	strategy	strategy	NOUN
ap-9725	162	5	for	for	ADP
ap-9725	162	6	violence	violence	NOUN
ap-9725	162	7	detection	detection	NOUN
ap-9725	162	8	.	.	PUNCT
ap-9725	162	9	.	.	PUNCT
ap-9725	162	10	.	.	PUNCT
ap-9725	163	1	(	(	PUNCT
ap-9725	163	2	a	a	X
ap-9725	163	3	)	)	PUNCT
ap-9725	163	4	.	.	PUNCT
ap-9725	164	1	based	base	VERB
ap-9725	164	2	on	on	ADP
ap-9725	164	3	lf	lf	PROPN
ap-9725	164	4	.	.	PUNCT
ap-9725	165	1	(	(	PUNCT
ap-9725	165	2	b	b	NOUN
ap-9725	165	3	)	)	PUNCT
ap-9725	165	4	.	.	PUNCT
ap-9725	166	1	based	base	VERB
ap-9725	166	2	on	on	ADP
ap-9725	166	3	ef	ef	PROPN
ap-9725	166	4	.	.	PUNCT
ap-9725	167	1	(	(	PUNCT
ap-9725	167	2	c	c	NOUN
ap-9725	167	3	)	)	PUNCT
ap-9725	167	4	.	.	PUNCT
ap-9725	168	1	sf	sf	PROPN
ap-9725	168	2	-	-	PUNCT
ap-9725	168	3	based	base	VERB
ap-9725	168	4	.	.	PUNCT
ap-9725	169	1	figure	figure	NOUN
ap-9725	169	2	6	6	NUM
ap-9725	169	3	.	.	PUNCT
ap-9725	170	1	presentation	presentation	NOUN
ap-9725	170	2	of	of	ADP
ap-9725	170	3	architectural	architectural	ADJ
ap-9725	170	4	proposals	proposal	NOUN
ap-9725	170	5	.	.	PUNCT
ap-9725	171	1	3.4	3.4	NUM
ap-9725	171	2	.	.	PUNCT
ap-9725	171	3	methodology	methodology	PROPN
ap-9725	171	4	3.4.1	3.4.1	NUM
ap-9725	171	5	.	.	PUNCT
ap-9725	171	6	proposed	propose	VERB
ap-9725	171	7	model	model	NOUN
ap-9725	171	8	subsection	subsection	NOUN
ap-9725	171	9	3.3	3.3	NUM
ap-9725	171	10	demonstrated	demonstrate	VERB
ap-9725	171	11	how	how	SCONJ
ap-9725	171	12	the	the	DET
ap-9725	171	13	videos	video	NOUN
ap-9725	171	14	will	will	AUX
ap-9725	171	15	be	be	AUX
ap-9725	171	16	presented	present	VERB
ap-9725	171	17	to	to	ADP
ap-9725	171	18	the	the	DET
ap-9725	171	19	machine	machine	NOUN
ap-9725	171	20	learning	learning	NOUN
ap-9725	171	21	models	model	NOUN
ap-9725	171	22	that	that	PRON
ap-9725	171	23	,	,	PUNCT
ap-9725	171	24	as	as	SCONJ
ap-9725	171	25	will	will	AUX
ap-9725	171	26	be	be	AUX
ap-9725	171	27	seen	see	VERB
ap-9725	171	28	below	below	ADV
ap-9725	171	29	,	,	PUNCT
ap-9725	171	30	are	be	AUX
ap-9725	171	31	based	base	VERB
ap-9725	171	32	on	on	ADP
ap-9725	171	33	deep	deep	ADJ
ap-9725	171	34	learning	learning	NOUN
ap-9725	171	35	methods	method	NOUN
ap-9725	171	36	.	.	PUNCT
ap-9725	172	1	in	in	ADP
ap-9725	172	2	[	[	X
ap-9725	172	3	20	20	NUM
ap-9725	172	4	]	]	PUNCT
ap-9725	172	5	,	,	PUNCT
ap-9725	172	6	the	the	DET
ap-9725	172	7	authors	author	NOUN
ap-9725	172	8	,	,	PUNCT
ap-9725	172	9	in	in	ADP
ap-9725	172	10	addition	addition	NOUN
ap-9725	172	11	to	to	ADP
ap-9725	172	12	proposing	propose	VERB
ap-9725	172	13	temporal	temporal	ADJ
ap-9725	172	14	fusion	fusion	NOUN
ap-9725	172	15	techniques	technique	NOUN
ap-9725	172	16	to	to	PART
ap-9725	172	17	support	support	VERB
ap-9725	172	18	the	the	DET
ap-9725	172	19	representation	representation	NOUN
ap-9725	172	20	of	of	ADP
ap-9725	172	21	data	datum	NOUN
ap-9725	172	22	in	in	ADP
ap-9725	172	23	video	video	NOUN
ap-9725	172	24	classification	classification	NOUN
ap-9725	172	25	tasks	task	NOUN
ap-9725	172	26	,	,	PUNCT
ap-9725	172	27	suggest	suggest	VERB
ap-9725	172	28	that	that	SCONJ
ap-9725	172	29	the	the	DET
ap-9725	172	30	models	model	NOUN
ap-9725	172	31	used	use	VERB
ap-9725	172	32	are	be	AUX
ap-9725	172	33	based	base	VERB
ap-9725	172	34	on	on	ADP
ap-9725	172	35	convolutional	convolutional	ADJ
ap-9725	172	36	neural	neural	ADJ
ap-9725	172	37	networks	network	NOUN
ap-9725	172	38	,	,	PUNCT
ap-9725	172	39	as	as	ADP
ap-9725	172	40	a	a	DET
ap-9725	172	41	way	way	NOUN
ap-9725	172	42	of	of	ADP
ap-9725	172	43	extracting	extract	VERB
ap-9725	172	44	characteristics	characteristic	NOUN
ap-9725	172	45	of	of	ADP
ap-9725	172	46	the	the	DET
ap-9725	172	47	situations	situation	NOUN
ap-9725	172	48	found	find	VERB
ap-9725	172	49	in	in	ADP
ap-9725	172	50	the	the	DET
ap-9725	172	51	videos	video	NOUN
ap-9725	172	52	,	,	PUNCT
ap-9725	172	53	followed	follow	VERB
ap-9725	172	54	by	by	ADP
ap-9725	172	55	feedforward	feedforward	ADJ
ap-9725	172	56	layers	layer	NOUN
ap-9725	172	57	of	of	ADP
ap-9725	172	58	perceptron	perceptron	PROPN
ap-9725	172	59	neurons	neuron	NOUN
ap-9725	172	60	,	,	PUNCT
ap-9725	172	61	which	which	PRON
ap-9725	172	62	perform	perform	VERB
ap-9725	172	63	pattern	pattern	NOUN
ap-9725	172	64	recognition	recognition	NOUN
ap-9725	172	65	from	from	ADP
ap-9725	172	66	the	the	DET
ap-9725	172	67	characteristics	characteristic	NOUN
ap-9725	172	68	extracted	extract	VERB
ap-9725	172	69	in	in	ADP
ap-9725	172	70	the	the	DET
ap-9725	172	71	previous	previous	ADJ
ap-9725	172	72	layers	layer	NOUN
ap-9725	172	73	.	.	PUNCT
ap-9725	173	1	this	this	DET
ap-9725	173	2	approach	approach	NOUN
ap-9725	173	3	is	be	AUX
ap-9725	173	4	widely	widely	ADV
ap-9725	173	5	used	use	VERB
ap-9725	173	6	in	in	ADP
ap-9725	173	7	several	several	ADJ
ap-9725	173	8	applications	application	NOUN
ap-9725	173	9	of	of	ADP
ap-9725	173	10	dl	dl	NOUN
ap-9725	173	11	,	,	PUNCT
ap-9725	173	12	especially	especially	ADV
ap-9725	173	13	for	for	ADP
ap-9725	173	14	computational	computational	ADJ
ap-9725	173	15	vision	vision	NOUN
ap-9725	173	16	tasks	task	NOUN
ap-9725	173	17	.	.	PUNCT
ap-9725	174	1	however	however	ADV
ap-9725	174	2	,	,	PUNCT
ap-9725	174	3	videos	video	NOUN
ap-9725	174	4	possess	possess	VERB
ap-9725	174	5	a	a	DET
ap-9725	174	6	characteristic	characteristic	NOUN
ap-9725	174	7	that	that	SCONJ
ap-9725	174	8	static	static	ADJ
ap-9725	174	9	images	image	NOUN
ap-9725	174	10	lack	lack	VERB
ap-9725	174	11	:	:	PUNCT
ap-9725	174	12	temporal	temporal	ADJ
ap-9725	174	13	dependence	dependence	NOUN
ap-9725	174	14	.	.	PUNCT
ap-9725	175	1	an	an	DET
ap-9725	175	2	appropriate	appropriate	ADJ
ap-9725	175	3	technique	technique	NOUN
ap-9725	175	4	for	for	ADP
ap-9725	175	5	extracting	extract	VERB
ap-9725	175	6	this	this	DET
ap-9725	175	7	type	type	NOUN
ap-9725	175	8	of	of	ADP
ap-9725	175	9	characteristic	characteristic	NOUN
ap-9725	175	10	can	can	AUX
ap-9725	175	11	better	well	ADV
ap-9725	175	12	explore	explore	VERB
ap-9725	175	13	the	the	DET
ap-9725	175	14	temporal	temporal	ADJ
ap-9725	175	15	sequence	sequence	NOUN
ap-9725	175	16	between	between	ADP
ap-9725	175	17	frames	frame	NOUN
ap-9725	175	18	.	.	PUNCT
ap-9725	176	1	therefore	therefore	ADV
ap-9725	176	2	,	,	PUNCT
ap-9725	176	3	we	we	PRON
ap-9725	176	4	use	use	VERB
ap-9725	176	5	lstm	lstm	NOUN
ap-9725	176	6	frames	frame	NOUN
ap-9725	176	7	for	for	ADP
ap-9725	176	8	this	this	DET
ap-9725	176	9	purpose	purpose	NOUN
ap-9725	176	10	,	,	PUNCT
ap-9725	176	11	as	as	SCONJ
ap-9725	176	12	they	they	PRON
ap-9725	176	13	represent	represent	VERB
ap-9725	176	14	the	the	DET
ap-9725	176	15	state	state	NOUN
ap-9725	176	16	of	of	ADP
ap-9725	176	17	the	the	DET
ap-9725	176	18	art	art	NOUN
ap-9725	176	19	in	in	ADP
ap-9725	176	20	extracting	extract	VERB
ap-9725	176	21	temporal	temporal	ADJ
ap-9725	176	22	characteristics	characteristic	NOUN
ap-9725	176	23	from	from	ADP
ap-9725	176	24	signals	signal	NOUN
ap-9725	176	25	.	.	PUNCT
ap-9725	177	1	the	the	DET
ap-9725	177	2	technique	technique	NOUN
ap-9725	177	3	relies	rely	VERB
ap-9725	177	4	on	on	ADP
ap-9725	177	5	convlstms	convlstms	NOUN
ap-9725	177	6	,	,	PUNCT
ap-9725	177	7	where	where	SCONJ
ap-9725	177	8	the	the	DET
ap-9725	177	9	lstm	lstm	NOUN
ap-9725	177	10	layers	layer	NOUN
ap-9725	177	11	analyse	analyse	VERB
ap-9725	177	12	the	the	DET
ap-9725	177	13	temporal	temporal	ADJ
ap-9725	177	14	features	feature	NOUN
ap-9725	177	15	in	in	ADP
ap-9725	177	16	their	their	PRON
ap-9725	177	17	inputs	input	NOUN
ap-9725	177	18	,	,	PUNCT
ap-9725	177	19	and	and	CCONJ
ap-9725	177	20	the	the	DET
ap-9725	177	21	convolutional	convolutional	ADJ
ap-9725	177	22	layers	layer	NOUN
ap-9725	177	23	then	then	ADV
ap-9725	177	24	extract	extract	VERB
ap-9725	177	25	these	these	DET
ap-9725	177	26	spatial	spatial	ADJ
ap-9725	177	27	features	feature	NOUN
ap-9725	177	28	.	.	PUNCT
ap-9725	178	1	thus	thus	ADV
ap-9725	178	2	,	,	PUNCT
ap-9725	178	3	the	the	DET
ap-9725	178	4	strategy	strategy	NOUN
ap-9725	178	5	is	be	AUX
ap-9725	178	6	to	to	PART
ap-9725	178	7	present	present	VERB
ap-9725	178	8	the	the	DET
ap-9725	178	9	input	input	NOUN
ap-9725	178	10	data	datum	NOUN
ap-9725	178	11	to	to	ADP
ap-9725	178	12	the	the	DET
ap-9725	178	13	convolutional	convolutional	ADJ
ap-9725	178	14	layers	layer	NOUN
ap-9725	178	15	so	so	SCONJ
ap-9725	178	16	that	that	SCONJ
ap-9725	178	17	the	the	DET
ap-9725	178	18	extraction	extraction	NOUN
ap-9725	178	19	of	of	ADP
ap-9725	178	20	spatial	spatial	ADJ
ap-9725	178	21	characteristics	characteristic	NOUN
ap-9725	178	22	of	of	ADP
ap-9725	178	23	the	the	DET
ap-9725	178	24	frames	frame	NOUN
ap-9725	178	25	occurs	occur	VERB
ap-9725	178	26	,	,	PUNCT
ap-9725	178	27	followed	follow	VERB
ap-9725	178	28	by	by	ADP
ap-9725	178	29	an	an	DET
ap-9725	178	30	lstm	lstm	ADJ
ap-9725	178	31	layer	layer	NOUN
ap-9725	178	32	that	that	PRON
ap-9725	178	33	extracts	extract	VERB
ap-9725	178	34	temporal	temporal	ADJ
ap-9725	178	35	characteristics	characteristic	NOUN
ap-9725	178	36	from	from	ADP
ap-9725	178	37	the	the	DET
ap-9725	178	38	data	datum	NOUN
ap-9725	178	39	resulting	result	VERB
ap-9725	178	40	from	from	ADP
ap-9725	178	41	the	the	DET
ap-9725	178	42	convolutional	convolutional	ADJ
ap-9725	178	43	layers	layer	NOUN
ap-9725	178	44	,	,	PUNCT
ap-9725	178	45	and	and	CCONJ
ap-9725	178	46	finally	finally	ADV
ap-9725	178	47	,	,	PUNCT
ap-9725	178	48	to	to	PART
ap-9725	178	49	perform	perform	VERB
ap-9725	178	50	a	a	DET
ap-9725	178	51	classification	classification	NOUN
ap-9725	178	52	of	of	ADP
ap-9725	178	53	the	the	DET
ap-9725	178	54	patterns	pattern	NOUN
ap-9725	178	55	through	through	ADP
ap-9725	178	56	the	the	DET
ap-9725	178	57	use	use	NOUN
ap-9725	178	58	of	of	ADP
ap-9725	178	59	feedforward	feedforward	ADJ
ap-9725	178	60	layers	layer	NOUN
ap-9725	178	61	of	of	ADP
ap-9725	178	62	perceptron	perceptron	PROPN
ap-9725	178	63	neurons	neuron	NOUN
ap-9725	178	64	.	.	PUNCT
ap-9725	179	1	figure	figure	NOUN
ap-9725	179	2	6	6	NUM
ap-9725	179	3	provides	provide	VERB
ap-9725	179	4	a	a	DET
ap-9725	179	5	block	block	NOUN
ap-9725	179	6	-	-	PUNCT
ap-9725	179	7	byblock	byblock	NOUN
ap-9725	179	8	overview	overview	NOUN
ap-9725	179	9	of	of	ADP
ap-9725	179	10	the	the	DET
ap-9725	179	11	convlstm	convlstm	NOUN
ap-9725	179	12	architecture	architecture	NOUN
ap-9725	179	13	for	for	ADP
ap-9725	179	14	the	the	DET
ap-9725	179	15	models	model	NOUN
ap-9725	179	16	we	we	PRON
ap-9725	179	17	build	build	VERB
ap-9725	179	18	,	,	PUNCT
ap-9725	179	19	segmented	segment	VERB
ap-9725	179	20	by	by	ADP
ap-9725	179	21	the	the	DET
ap-9725	179	22	temporal	temporal	ADJ
ap-9725	179	23	fusion	fusion	NOUN
ap-9725	179	24	techniques	technique	NOUN
ap-9725	179	25	we	we	PRON
ap-9725	179	26	present	present	VERB
ap-9725	179	27	.	.	PUNCT
ap-9725	180	1	figure	figure	NOUN
ap-9725	180	2	6	6	NUM
ap-9725	180	3	allows	allow	VERB
ap-9725	180	4	us	we	PRON
ap-9725	180	5	to	to	PART
ap-9725	180	6	verify	verify	VERB
ap-9725	180	7	the	the	DET
ap-9725	180	8	flow	flow	NOUN
ap-9725	180	9	of	of	ADP
ap-9725	180	10	various	various	ADJ
ap-9725	180	11	neural	neural	ADJ
ap-9725	180	12	network	network	NOUN
ap-9725	180	13	types	type	NOUN
ap-9725	180	14	,	,	PUNCT
ap-9725	180	15	adhering	adhere	VERB
ap-9725	180	16	to	to	ADP
ap-9725	180	17	the	the	DET
ap-9725	180	18	cnn	cnn	PROPN
ap-9725	180	19	-	-	PUNCT
ap-9725	180	20	lstm311	lstm311	PROPN
ap-9725	180	21	k.	k.	PROPN
ap-9725	180	22	merit	merit	PROPN
ap-9725	180	23	,	,	PUNCT
ap-9725	180	24	m.	m.	NOUN
ap-9725	180	25	beladgham	beladgham	PROPN
ap-9725	180	26	,	,	PUNCT
ap-9725	180	27	a.	a.	NOUN
ap-9725	180	28	taleb	taleb	PROPN
ap-9725	180	29	-	-	PUNCT
ap-9725	180	30	ahmed	ahme	VERB
ap-9725	180	31	acta	acta	PROPN
ap-9725	180	32	polytechnica	polytechnica	PROPN
ap-9725	180	33	feedforward	feedforward	NOUN
ap-9725	180	34	sequence	sequence	NOUN
ap-9725	180	35	,	,	PUNCT
ap-9725	180	36	and	and	CCONJ
ap-9725	180	37	the	the	DET
ap-9725	180	38	submission	submission	NOUN
ap-9725	180	39	of	of	ADP
ap-9725	180	40	video	video	NOUN
ap-9725	180	41	frames	frame	NOUN
ap-9725	180	42	to	to	ADP
ap-9725	180	43	the	the	DET
ap-9725	180	44	models	model	NOUN
ap-9725	180	45	using	use	VERB
ap-9725	180	46	temporal	temporal	ADJ
ap-9725	180	47	fusion	fusion	NOUN
ap-9725	180	48	technique	technique	NOUN
ap-9725	180	49	.	.	PUNCT
ap-9725	181	1	we	we	PRON
ap-9725	181	2	performed	perform	VERB
ap-9725	181	3	several	several	ADJ
ap-9725	181	4	empirical	empirical	ADJ
ap-9725	181	5	tests	test	NOUN
ap-9725	181	6	for	for	ADP
ap-9725	181	7	each	each	PRON
ap-9725	181	8	of	of	ADP
ap-9725	181	9	the	the	DET
ap-9725	181	10	architectures	architecture	NOUN
ap-9725	181	11	presented	present	VERB
ap-9725	181	12	in	in	ADP
ap-9725	181	13	this	this	DET
ap-9725	181	14	figure	figure	NOUN
ap-9725	181	15	to	to	PART
ap-9725	181	16	determine	determine	VERB
ap-9725	181	17	the	the	DET
ap-9725	181	18	parameters	parameter	NOUN
ap-9725	181	19	and	and	CCONJ
ap-9725	181	20	hyperparameters	hyperparameter	NOUN
ap-9725	181	21	of	of	ADP
ap-9725	181	22	the	the	DET
ap-9725	181	23	neural	neural	ADJ
ap-9725	181	24	networks	network	NOUN
ap-9725	181	25	.	.	PUNCT
ap-9725	182	1	we	we	PRON
ap-9725	182	2	use	use	VERB
ap-9725	182	3	the	the	DET
ap-9725	182	4	convolutional	convolutional	ADJ
ap-9725	182	5	layers	layer	NOUN
ap-9725	182	6	of	of	ADP
ap-9725	182	7	the	the	DET
ap-9725	182	8	canonical	canonical	ADJ
ap-9725	182	9	networks	network	NOUN
ap-9725	182	10	,	,	PUNCT
ap-9725	182	11	namely	namely	ADV
ap-9725	182	12	mobilenet	mobilenet	NOUN
ap-9725	182	13	v3	v3	PROPN
ap-9725	182	14	,	,	PUNCT
ap-9725	182	15	inceptionv3	inceptionv3	NOUN
ap-9725	182	16	,	,	PUNCT
ap-9725	182	17	and	and	CCONJ
ap-9725	182	18	vgg16	vgg16	PROPN
ap-9725	182	19	,	,	PUNCT
ap-9725	182	20	for	for	ADP
ap-9725	182	21	the	the	DET
ap-9725	182	22	convolutional	convolutional	ADJ
ap-9725	182	23	neural	neural	ADJ
ap-9725	182	24	network	network	NOUN
ap-9725	182	25	blocks	block	NOUN
ap-9725	182	26	.	.	PUNCT
ap-9725	183	1	we	we	PRON
ap-9725	183	2	apply	apply	VERB
ap-9725	183	3	the	the	DET
ap-9725	183	4	transfer	transfer	NOUN
ap-9725	183	5	learning	learning	NOUN
ap-9725	183	6	technique	technique	NOUN
ap-9725	183	7	,	,	PUNCT
ap-9725	183	8	which	which	PRON
ap-9725	183	9	uses	use	VERB
ap-9725	183	10	the	the	DET
ap-9725	183	11	weights	weight	NOUN
ap-9725	183	12	derived	derive	VERB
ap-9725	183	13	from	from	ADP
ap-9725	183	14	training	training	NOUN
ap-9725	183	15	with	with	ADP
ap-9725	183	16	the	the	DET
ap-9725	183	17	imagenet	imagenet	NOUN
ap-9725	183	18	database	database	NOUN
ap-9725	183	19	.	.	PUNCT
ap-9725	184	1	this	this	DET
ap-9725	184	2	approach	approach	NOUN
ap-9725	184	3	does	do	AUX
ap-9725	184	4	not	not	PART
ap-9725	184	5	use	use	VERB
ap-9725	184	6	the	the	DET
ap-9725	184	7	fine	fine	ADV
ap-9725	184	8	-	-	PUNCT
ap-9725	184	9	tuning	tune	VERB
ap-9725	184	10	(	(	PUNCT
ap-9725	184	11	fn	fn	NOUN
ap-9725	184	12	)	)	PUNCT
ap-9725	184	13	technique	technique	NOUN
ap-9725	184	14	and	and	CCONJ
ap-9725	184	15	only	only	ADV
ap-9725	184	16	adjusts	adjust	VERB
ap-9725	184	17	the	the	DET
ap-9725	184	18	weights	weight	NOUN
ap-9725	184	19	of	of	ADP
ap-9725	184	20	the	the	DET
ap-9725	184	21	final	final	ADJ
ap-9725	184	22	layers	layer	NOUN
ap-9725	184	23	added	add	VERB
ap-9725	184	24	to	to	ADP
ap-9725	184	25	the	the	DET
ap-9725	184	26	models	model	NOUN
ap-9725	184	27	.	.	PUNCT
ap-9725	185	1	additionally	additionally	ADV
ap-9725	185	2	,	,	PUNCT
ap-9725	185	3	we	we	PRON
ap-9725	185	4	built	build	VERB
ap-9725	185	5	a	a	DET
ap-9725	185	6	simple	simple	ADJ
ap-9725	185	7	neural	neural	ADJ
ap-9725	185	8	network	network	NOUN
ap-9725	185	9	using	use	VERB
ap-9725	185	10	the	the	DET
ap-9725	185	11	parameters	parameter	NOUN
ap-9725	185	12	and	and	CCONJ
ap-9725	185	13	hyperparameters	hyperparameter	NOUN
ap-9725	185	14	depicted	depict	VERB
ap-9725	185	15	in	in	ADP
ap-9725	185	16	figure	figure	NOUN
ap-9725	185	17	7	7	NUM
ap-9725	185	18	and	and	CCONJ
ap-9725	185	19	trained	train	VERB
ap-9725	185	20	it	it	PRON
ap-9725	185	21	using	use	VERB
ap-9725	185	22	the	the	DET
ap-9725	185	23	rlvs-2019	rlvs-2019	ADJ
ap-9725	185	24	database	database	NOUN
ap-9725	185	25	.	.	PUNCT
ap-9725	186	1	in	in	ADP
ap-9725	186	2	figure	figure	NOUN
ap-9725	186	3	7	7	NUM
ap-9725	186	4	,	,	PUNCT
ap-9725	186	5	the	the	DET
ap-9725	186	6	parameters	parameter	NOUN
ap-9725	186	7	for	for	ADP
ap-9725	186	8	the	the	DET
ap-9725	186	9	convolutional	convolutional	ADJ
ap-9725	186	10	layers	layer	NOUN
ap-9725	186	11	are	be	AUX
ap-9725	186	12	the	the	DET
ap-9725	186	13	number	number	NOUN
ap-9725	186	14	of	of	ADP
ap-9725	186	15	convolution	convolution	NOUN
ap-9725	186	16	numbers	number	NOUN
ap-9725	186	17	,	,	PUNCT
ap-9725	186	18	kernel	kernel	NOUN
ap-9725	186	19	size	size	NOUN
ap-9725	186	20	,	,	PUNCT
ap-9725	186	21	and	and	CCONJ
ap-9725	186	22	activation	activation	NOUN
ap-9725	186	23	function	function	NOUN
ap-9725	186	24	.	.	PUNCT
ap-9725	187	1	for	for	ADP
ap-9725	187	2	the	the	DET
ap-9725	187	3	pooling	pool	VERB
ap-9725	187	4	layers	layer	NOUN
ap-9725	187	5	,	,	PUNCT
ap-9725	187	6	the	the	DET
ap-9725	187	7	parameter	parameter	NOUN
ap-9725	187	8	informed	inform	VERB
ap-9725	187	9	represents	represent	VERB
ap-9725	187	10	the	the	DET
ap-9725	187	11	dimension	dimension	NOUN
ap-9725	187	12	of	of	ADP
ap-9725	187	13	the	the	DET
ap-9725	187	14	pooling	pool	VERB
ap-9725	187	15	matrix	matrix	NOUN
ap-9725	187	16	,	,	PUNCT
ap-9725	187	17	and	and	CCONJ
ap-9725	187	18	the	the	DET
ap-9725	187	19	parameter	parameter	NOUN
ap-9725	187	20	informed	inform	VERB
ap-9725	187	21	for	for	ADP
ap-9725	187	22	the	the	DET
ap-9725	187	23	batch	batch	NOUN
ap-9725	187	24	normalisation	normalisation	NOUN
ap-9725	187	25	layers	layer	NOUN
ap-9725	187	26	represents	represent	VERB
ap-9725	187	27	the	the	DET
ap-9725	187	28	momentum	momentum	NOUN
ap-9725	187	29	.	.	PUNCT
ap-9725	188	1	we	we	PRON
ap-9725	188	2	used	use	VERB
ap-9725	188	3	the	the	DET
ap-9725	188	4	“	"	PUNCT
ap-9725	188	5	adam	adam	ADJ
ap-9725	188	6	”	"	PUNCT
ap-9725	188	7	optimizer	optimizer	NOUN
ap-9725	188	8	for	for	ADP
ap-9725	188	9	all	all	DET
ap-9725	188	10	models	model	NOUN
ap-9725	188	11	.	.	PUNCT
ap-9725	189	1	we	we	PRON
ap-9725	189	2	are	be	AUX
ap-9725	189	3	going	go	VERB
ap-9725	189	4	to	to	PART
ap-9725	189	5	test	test	VERB
ap-9725	189	6	the	the	DET
ap-9725	189	7	networks	network	NOUN
ap-9725	189	8	shown	show	VERB
ap-9725	189	9	as	as	ADP
ap-9725	189	10	convolutional	convolutional	ADJ
ap-9725	189	11	blocks	block	NOUN
ap-9725	189	12	for	for	ADP
ap-9725	189	13	all	all	PRON
ap-9725	189	14	of	of	ADP
ap-9725	189	15	the	the	DET
ap-9725	189	16	architectures	architecture	NOUN
ap-9725	189	17	in	in	ADP
ap-9725	189	18	figure	figure	NOUN
ap-9725	189	19	6	6	NUM
ap-9725	189	20	,	,	PUNCT
ap-9725	189	21	along	along	ADP
ap-9725	189	22	with	with	ADP
ap-9725	189	23	the	the	DET
ap-9725	189	24	output	output	NOUN
ap-9725	189	25	block	block	NOUN
ap-9725	189	26	that	that	PRON
ap-9725	189	27	has	have	VERB
ap-9725	189	28	the	the	DET
ap-9725	189	29	last	last	ADJ
ap-9725	189	30	layers	layer	NOUN
ap-9725	189	31	of	of	ADP
ap-9725	189	32	the	the	DET
ap-9725	189	33	lstm	lstm	NOUN
ap-9725	189	34	and	and	CCONJ
ap-9725	189	35	feedforward	feedforward	ADJ
ap-9725	189	36	types	type	NOUN
ap-9725	189	37	.	.	PUNCT
ap-9725	190	1	these	these	DET
ap-9725	190	2	final	final	ADJ
ap-9725	190	3	layers	layer	NOUN
ap-9725	190	4	were	be	AUX
ap-9725	190	5	empirically	empirically	ADV
ap-9725	190	6	defined	define	VERB
ap-9725	190	7	,	,	PUNCT
ap-9725	190	8	as	as	SCONJ
ap-9725	190	9	illustrated	illustrate	VERB
ap-9725	190	10	in	in	ADP
ap-9725	190	11	figure	figure	NOUN
ap-9725	190	12	8	8	NUM
ap-9725	190	13	,	,	PUNCT
ap-9725	190	14	in	in	ADP
ap-9725	190	15	which	which	PRON
ap-9725	190	16	the	the	DET
ap-9725	190	17	parameters	parameter	NOUN
ap-9725	190	18	defined	define	VERB
ap-9725	190	19	for	for	ADP
ap-9725	190	20	the	the	DET
ap-9725	190	21	feedforward	feedforward	NOUN
ap-9725	190	22	layers	layer	NOUN
ap-9725	190	23	are	be	AUX
ap-9725	190	24	the	the	DET
ap-9725	190	25	number	number	NOUN
ap-9725	190	26	of	of	ADP
ap-9725	190	27	perceptron	perceptron	PROPN
ap-9725	190	28	neurons	neuron	NOUN
ap-9725	190	29	and	and	CCONJ
ap-9725	190	30	activation	activation	NOUN
ap-9725	190	31	function	function	NOUN
ap-9725	190	32	;	;	PUNCT
ap-9725	190	33	for	for	ADP
ap-9725	190	34	the	the	DET
ap-9725	190	35	lstm	lstm	ADJ
ap-9725	190	36	layers	layer	NOUN
ap-9725	190	37	,	,	PUNCT
ap-9725	190	38	the	the	DET
ap-9725	190	39	reported	report	VERB
ap-9725	190	40	parameter	parameter	NOUN
ap-9725	190	41	represents	represent	VERB
ap-9725	190	42	the	the	DET
ap-9725	190	43	number	number	NOUN
ap-9725	190	44	of	of	ADP
ap-9725	190	45	lstm	lstm	ADJ
ap-9725	190	46	neurons	neuron	NOUN
ap-9725	190	47	;	;	PUNCT
ap-9725	190	48	and	and	CCONJ
ap-9725	190	49	for	for	ADP
ap-9725	190	50	the	the	DET
ap-9725	190	51	dropout	dropout	NOUN
ap-9725	190	52	layers	layer	NOUN
ap-9725	190	53	,	,	PUNCT
ap-9725	190	54	it	it	PRON
ap-9725	190	55	represents	represent	VERB
ap-9725	190	56	the	the	DET
ap-9725	190	57	normalisation	normalisation	NOUN
ap-9725	190	58	rate	rate	NOUN
ap-9725	190	59	.	.	PUNCT
ap-9725	191	1	therefore	therefore	ADV
ap-9725	191	2	,	,	PUNCT
ap-9725	191	3	for	for	ADP
ap-9725	191	4	each	each	PRON
ap-9725	191	5	of	of	ADP
ap-9725	191	6	the	the	DET
ap-9725	191	7	temporal	temporal	ADJ
ap-9725	191	8	fusion	fusion	NOUN
ap-9725	191	9	techniques	technique	NOUN
ap-9725	191	10	used	use	VERB
ap-9725	191	11	,	,	PUNCT
ap-9725	191	12	4	4	NUM
ap-9725	191	13	models	model	NOUN
ap-9725	191	14	will	will	AUX
ap-9725	191	15	be	be	AUX
ap-9725	191	16	tested	test	VERB
ap-9725	191	17	based	base	VERB
ap-9725	191	18	on	on	ADP
ap-9725	191	19	the	the	DET
ap-9725	191	20	junctions	junction	NOUN
ap-9725	191	21	of	of	ADP
ap-9725	191	22	the	the	DET
ap-9725	191	23	4	4	NUM
ap-9725	191	24	convolutional	convolutional	ADJ
ap-9725	191	25	blocks	block	NOUN
ap-9725	191	26	mentioned	mention	VERB
ap-9725	191	27	with	with	ADP
ap-9725	191	28	the	the	DET
ap-9725	191	29	output	output	NOUN
ap-9725	191	30	block	block	NOUN
ap-9725	191	31	,	,	PUNCT
ap-9725	191	32	whose	whose	DET
ap-9725	191	33	layers	layer	NOUN
ap-9725	191	34	are	be	AUX
ap-9725	191	35	presented	present	VERB
ap-9725	191	36	in	in	ADP
ap-9725	191	37	figure	figure	NOUN
ap-9725	191	38	8	8	NUM
ap-9725	191	39	.	.	NOUN
ap-9725	192	1	3.5	3.5	NUM
ap-9725	192	2	.	.	PUNCT
ap-9725	193	1	simulation	simulation	NOUN
ap-9725	193	2	parameters	parameter	NOUN
ap-9725	193	3	we	we	PRON
ap-9725	193	4	implement	implement	VERB
ap-9725	193	5	our	our	PRON
ap-9725	193	6	models	model	NOUN
ap-9725	193	7	in	in	ADP
ap-9725	193	8	tensorflow	tensorflow	NOUN
ap-9725	193	9	,	,	PUNCT
ap-9725	193	10	and	and	CCONJ
ap-9725	193	11	all	all	DET
ap-9725	193	12	experiments	experiment	NOUN
ap-9725	193	13	are	be	AUX
ap-9725	193	14	carried	carry	VERB
ap-9725	193	15	out	out	ADP
ap-9725	193	16	on	on	ADP
ap-9725	193	17	a	a	DET
ap-9725	193	18	machine	machine	NOUN
ap-9725	193	19	with	with	ADP
ap-9725	193	20	an	an	DET
ap-9725	193	21	intel(r	intel(r	NOUN
ap-9725	193	22	)	)	PUNCT
ap-9725	193	23	core(tm	core(tm	NOUN
ap-9725	193	24	)	)	PUNCT
ap-9725	193	25	i7	i7	NOUN
ap-9725	193	26	-	-	PUNCT
ap-9725	193	27	12800h	12800h	NUM
ap-9725	193	28	cpu	cpu	NOUN
ap-9725	193	29	@	@	ADP
ap-9725	193	30	4.0	4.0	NUM
ap-9725	193	31	ghz	ghz	NOUN
ap-9725	193	32	,	,	PUNCT
ap-9725	193	33	32	32	NUM
ap-9725	193	34	gb	gb	NOUN
ap-9725	193	35	of	of	ADP
ap-9725	193	36	memory	memory	NOUN
ap-9725	193	37	,	,	PUNCT
ap-9725	193	38	8	8	NUM
ap-9725	193	39	gb	gb	PROPN
ap-9725	193	40	nvidia	nvidia	PROPN
ap-9725	193	41	quadro	quadro	PROPN
ap-9725	193	42	rtx	rtx	PROPN
ap-9725	193	43	a2000	a2000	PROPN
ap-9725	193	44	,	,	PUNCT
ap-9725	193	45	and	and	CCONJ
ap-9725	193	46	windows	window	VERB
ap-9725	193	47	11	11	NUM
ap-9725	193	48	pro	pro	NOUN
ap-9725	193	49	as	as	ADP
ap-9725	193	50	an	an	DET
ap-9725	193	51	operating	operating	NOUN
ap-9725	193	52	system	system	NOUN
ap-9725	193	53	.	.	PUNCT
ap-9725	194	1	table	table	NOUN
ap-9725	194	2	2	2	NUM
ap-9725	194	3	presents	present	VERB
ap-9725	194	4	the	the	DET
ap-9725	194	5	simulation	simulation	NOUN
ap-9725	194	6	parameters	parameter	NOUN
ap-9725	194	7	for	for	ADP
ap-9725	194	8	the	the	DET
ap-9725	194	9	proposed	propose	VERB
ap-9725	194	10	research	research	NOUN
ap-9725	194	11	work	work	NOUN
ap-9725	194	12	.	.	PUNCT
ap-9725	195	1	every	every	DET
ap-9725	195	2	parameter	parameter	NOUN
ap-9725	195	3	has	have	AUX
ap-9725	195	4	been	be	AUX
ap-9725	195	5	carefully	carefully	ADV
ap-9725	195	6	chosen	choose	VERB
ap-9725	195	7	with	with	ADP
ap-9725	195	8	its	its	PRON
ap-9725	195	9	optimal	optimal	ADJ
ap-9725	195	10	values	value	NOUN
ap-9725	195	11	to	to	PART
ap-9725	195	12	ensure	ensure	VERB
ap-9725	195	13	the	the	DET
ap-9725	195	14	most	most	ADV
ap-9725	195	15	favourable	favourable	ADJ
ap-9725	195	16	results	result	NOUN
ap-9725	195	17	of	of	ADP
ap-9725	195	18	the	the	DET
ap-9725	195	19	study	study	NOUN
ap-9725	195	20	.	.	PUNCT
ap-9725	196	1	we	we	PRON
ap-9725	196	2	specifically	specifically	ADV
ap-9725	196	3	targeted	target	VERB
ap-9725	196	4	these	these	DET
ap-9725	196	5	parameters	parameter	NOUN
ap-9725	196	6	for	for	ADP
ap-9725	196	7	performance	performance	NOUN
ap-9725	196	8	evaluation	evaluation	NOUN
ap-9725	196	9	,	,	PUNCT
ap-9725	196	10	focusing	focus	VERB
ap-9725	196	11	on	on	ADP
ap-9725	196	12	accuracy	accuracy	NOUN
ap-9725	196	13	and	and	CCONJ
ap-9725	196	14	computational	computational	ADJ
ap-9725	196	15	efficiency	efficiency	NOUN
ap-9725	196	16	.	.	PUNCT
ap-9725	197	1	furthermore	furthermore	ADV
ap-9725	197	2	,	,	PUNCT
ap-9725	197	3	we	we	PRON
ap-9725	197	4	have	have	AUX
ap-9725	197	5	depicted	depict	VERB
ap-9725	197	6	the	the	DET
ap-9725	197	7	operating	operating	NOUN
ap-9725	197	8	system	system	NOUN
ap-9725	197	9	details	detail	NOUN
ap-9725	197	10	and	and	CCONJ
ap-9725	197	11	necessary	necessary	ADJ
ap-9725	197	12	simulation	simulation	NOUN
ap-9725	197	13	specifications	specification	NOUN
ap-9725	197	14	with	with	ADP
ap-9725	197	15	appropriate	appropriate	ADJ
ap-9725	197	16	values	value	NOUN
ap-9725	197	17	.	.	PUNCT
ap-9725	198	1	table	table	NOUN
ap-9725	198	2	2	2	NUM
ap-9725	198	3	comprises	comprise	VERB
ap-9725	198	4	two	two	NUM
ap-9725	198	5	columns	column	NOUN
ap-9725	198	6	,	,	PUNCT
ap-9725	198	7	one	one	NUM
ap-9725	198	8	for	for	ADP
ap-9725	198	9	the	the	DET
ap-9725	198	10	parameter	parameter	NOUN
ap-9725	198	11	name	name	NOUN
ap-9725	198	12	and	and	CCONJ
ap-9725	198	13	the	the	DET
ap-9725	198	14	other	other	ADJ
ap-9725	198	15	for	for	ADP
ap-9725	198	16	the	the	DET
ap-9725	198	17	corresponding	corresponding	ADJ
ap-9725	198	18	parameter	parameter	NOUN
ap-9725	198	19	value	value	NOUN
ap-9725	198	20	.	.	PUNCT
ap-9725	199	1	figure	figure	NOUN
ap-9725	199	2	7	7	NUM
ap-9725	199	3	.	.	PUNCT
ap-9725	200	1	a	a	DET
ap-9725	200	2	neural	neural	ADJ
ap-9725	200	3	network	network	NOUN
ap-9725	200	4	of	of	ADP
ap-9725	200	5	simple	simple	ADJ
ap-9725	200	6	architecture	architecture	NOUN
ap-9725	200	7	is	be	AUX
ap-9725	200	8	built	build	VERB
ap-9725	200	9	.	.	PUNCT
ap-9725	201	1	figure	figure	NOUN
ap-9725	201	2	8	8	NUM
ap-9725	201	3	.	.	PUNCT
ap-9725	201	4	final	final	ADJ
ap-9725	201	5	layers	layer	NOUN
ap-9725	201	6	of	of	ADP
ap-9725	201	7	the	the	DET
ap-9725	201	8	proposed	propose	VERB
ap-9725	201	9	models	model	NOUN
ap-9725	201	10	that	that	PRON
ap-9725	201	11	will	will	AUX
ap-9725	201	12	be	be	AUX
ap-9725	201	13	used	use	VERB
ap-9725	201	14	after	after	ADP
ap-9725	201	15	the	the	DET
ap-9725	201	16	convolutional	convolutional	ADJ
ap-9725	201	17	layers	layer	NOUN
ap-9725	201	18	.	.	PUNCT
ap-9725	202	1	3.6	3.6	NUM
ap-9725	202	2	.	.	PUNCT
ap-9725	202	3	performance	performance	NOUN
ap-9725	202	4	evaluation	evaluation	NOUN
ap-9725	202	5	the	the	DET
ap-9725	202	6	results	result	NOUN
ap-9725	202	7	obtained	obtain	VERB
ap-9725	202	8	will	will	AUX
ap-9725	202	9	be	be	AUX
ap-9725	202	10	evaluated	evaluate	VERB
ap-9725	202	11	according	accord	VERB
ap-9725	202	12	to	to	ADP
ap-9725	202	13	the	the	DET
ap-9725	202	14	accuracy	accuracy	NOUN
ap-9725	202	15	and	and	CCONJ
ap-9725	202	16	f1	f1	NOUN
ap-9725	202	17	-	-	PUNCT
ap-9725	202	18	score	score	NOUN
ap-9725	202	19	performance	performance	NOUN
ap-9725	202	20	metrics	metric	NOUN
ap-9725	202	21	.	.	PUNCT
ap-9725	203	1	as	as	SCONJ
ap-9725	203	2	shown	show	VERB
ap-9725	203	3	in	in	ADP
ap-9725	203	4	equations	equation	NOUN
ap-9725	203	5	(	(	PUNCT
ap-9725	203	6	1)–(4	1)–(4	NUM
ap-9725	203	7	):	):	PUNCT
ap-9725	203	8	(	(	PUNCT
ap-9725	203	9	1	1	NUM
ap-9725	203	10	.	.	PUNCT
ap-9725	203	11	)	)	PUNCT
ap-9725	203	12	accuracy	accuracy	NOUN
ap-9725	203	13	:	:	PUNCT
ap-9725	203	14	the	the	DET
ap-9725	203	15	accuracy	accuracy	NOUN
ap-9725	203	16	is	be	AUX
ap-9725	203	17	given	give	VERB
ap-9725	203	18	by	by	ADP
ap-9725	203	19	:	:	PUNCT
ap-9725	203	20	accuracy	accuracy	NOUN
ap-9725	203	21	=	=	PRON
ap-9725	203	22	tp	tp	X
ap-9725	203	23	+	+	CCONJ
ap-9725	203	24	tn	tn	NOUN
ap-9725	203	25	tp	tp	ADP
ap-9725	203	26	+	+	CCONJ
ap-9725	203	27	tn	tn	PROPN
ap-9725	204	1	+	+	NUM
ap-9725	204	2	fp	fp	PROPN
ap-9725	205	1	+	+	NUM
ap-9725	205	2	fn	fn	INTJ
ap-9725	206	1	,	,	PUNCT
ap-9725	206	2	(	(	PUNCT
ap-9725	206	3	1	1	X
ap-9725	206	4	)	)	PUNCT
ap-9725	206	5	where	where	SCONJ
ap-9725	206	6	,	,	PUNCT
ap-9725	206	7	•	•	ADP
ap-9725	206	8	a	a	DET
ap-9725	206	9	true	true	ADJ
ap-9725	206	10	positive	positive	ADJ
ap-9725	206	11	(	(	PUNCT
ap-9725	206	12	tp	tp	NOUN
ap-9725	206	13	)	)	PUNCT
ap-9725	206	14	occurs	occur	VERB
ap-9725	206	15	when	when	SCONJ
ap-9725	206	16	the	the	DET
ap-9725	206	17	model	model	NOUN
ap-9725	206	18	accurately	accurately	ADV
ap-9725	206	19	predicts	predict	VERB
ap-9725	206	20	violent	violent	ADJ
ap-9725	206	21	activity	activity	NOUN
ap-9725	206	22	and	and	CCONJ
ap-9725	206	23	the	the	DET
ap-9725	206	24	video	video	NOUN
ap-9725	206	25	indeed	indeed	ADV
ap-9725	206	26	contains	contain	VERB
ap-9725	206	27	violent	violent	ADJ
ap-9725	206	28	content	content	NOUN
ap-9725	206	29	.	.	PUNCT
ap-9725	207	1	•	•	NUM
ap-9725	207	2	a	a	DET
ap-9725	207	3	true	true	ADJ
ap-9725	207	4	negative	negative	ADJ
ap-9725	207	5	(	(	PUNCT
ap-9725	207	6	tn	tn	NOUN
ap-9725	207	7	)	)	PUNCT
ap-9725	207	8	occurs	occur	VERB
ap-9725	207	9	when	when	SCONJ
ap-9725	207	10	we	we	PRON
ap-9725	207	11	correctly	correctly	ADV
ap-9725	207	12	predict	predict	VERB
ap-9725	207	13	that	that	SCONJ
ap-9725	207	14	a	a	DET
ap-9725	207	15	video	video	NOUN
ap-9725	207	16	is	be	AUX
ap-9725	207	17	non	non	ADJ
ap-9725	207	18	-	-	ADJ
ap-9725	207	19	violent	violent	ADJ
ap-9725	207	20	,	,	PUNCT
ap-9725	207	21	and	and	CCONJ
ap-9725	207	22	it	it	PRON
ap-9725	207	23	is	be	AUX
ap-9725	207	24	indeed	indeed	ADV
ap-9725	207	25	non	non	ADJ
ap-9725	207	26	-	-	ADJ
ap-9725	207	27	violent	violent	ADJ
ap-9725	207	28	.	.	PUNCT
ap-9725	208	1	•	•	NUM
ap-9725	208	2	a	a	DET
ap-9725	208	3	false	false	ADJ
ap-9725	208	4	positive	positive	ADJ
ap-9725	208	5	(	(	PUNCT
ap-9725	208	6	fp	fp	NOUN
ap-9725	208	7	)	)	PUNCT
ap-9725	208	8	occurs	occur	VERB
ap-9725	208	9	when	when	SCONJ
ap-9725	208	10	the	the	DET
ap-9725	208	11	model	model	NOUN
ap-9725	208	12	predicts	predict	VERB
ap-9725	208	13	violent	violent	ADJ
ap-9725	208	14	action	action	NOUN
ap-9725	208	15	but	but	CCONJ
ap-9725	208	16	labels	label	VERB
ap-9725	208	17	the	the	DET
ap-9725	208	18	video	video	NOUN
ap-9725	208	19	as	as	ADP
ap-9725	208	20	non	non	ADJ
ap-9725	208	21	-	-	ADJ
ap-9725	208	22	violent	violent	ADJ
ap-9725	208	23	.	.	PUNCT
ap-9725	209	1	•	•	NUM
ap-9725	209	2	a	a	DET
ap-9725	209	3	false	false	ADJ
ap-9725	209	4	negative	negative	ADJ
ap-9725	209	5	(	(	PUNCT
ap-9725	209	6	fn	fn	NOUN
ap-9725	209	7	)	)	PUNCT
ap-9725	209	8	occurs	occur	VERB
ap-9725	209	9	when	when	SCONJ
ap-9725	209	10	the	the	DET
ap-9725	209	11	model	model	NOUN
ap-9725	209	12	predicts	predict	VERB
ap-9725	209	13	a	a	DET
ap-9725	209	14	video	video	NOUN
ap-9725	209	15	to	to	PART
ap-9725	209	16	be	be	AUX
ap-9725	209	17	violent	violent	ADJ
ap-9725	209	18	while	while	SCONJ
ap-9725	209	19	labelling	label	VERB
ap-9725	209	20	the	the	DET
ap-9725	209	21	video	video	NOUN
ap-9725	209	22	as	as	ADP
ap-9725	209	23	non	non	ADJ
ap-9725	209	24	-	-	ADJ
ap-9725	209	25	violent	violent	ADJ
ap-9725	209	26	.	.	PUNCT
ap-9725	210	1	this	this	DET
ap-9725	210	2	metric	metric	NOUN
ap-9725	210	3	represents	represent	VERB
ap-9725	210	4	the	the	DET
ap-9725	210	5	proportion	proportion	NOUN
ap-9725	210	6	of	of	ADP
ap-9725	210	7	correct	correct	ADJ
ap-9725	210	8	classifications	classification	NOUN
ap-9725	210	9	among	among	ADP
ap-9725	210	10	the	the	DET
ap-9725	210	11	total	total	ADJ
ap-9725	210	12	number	number	NOUN
ap-9725	210	13	of	of	ADP
ap-9725	210	14	classifi312	classifi312	PROPN
ap-9725	210	15	vol	vol	NOUN
ap-9725	210	16	.	.	PUNCT
ap-9725	211	1	65	65	NUM
ap-9725	211	2	no	no	NOUN
ap-9725	211	3	.	.	PUNCT
ap-9725	212	1	3/2025	3/2025	NUM
ap-9725	212	2	temporal	temporal	ADJ
ap-9725	212	3	fusion	fusion	NOUN
ap-9725	212	4	strategy	strategy	NOUN
ap-9725	212	5	for	for	ADP
ap-9725	212	6	violence	violence	NOUN
ap-9725	212	7	detection	detection	NOUN
ap-9725	212	8	.	.	PUNCT
ap-9725	212	9	.	.	PUNCT
ap-9725	212	10	.	.	PUNCT
ap-9725	213	1	parameter	parameter	PROPN
ap-9725	213	2	value	value	PROPN
ap-9725	213	3	simulation	simulation	PROPN
ap-9725	213	4	software	software	PROPN
ap-9725	213	5	python	python	PROPN
ap-9725	213	6	libraries	librarie	VERB
ap-9725	213	7	opencv	opencv	PROPN
ap-9725	213	8	,	,	PUNCT
ap-9725	213	9	matplotlib	matplotlib	PROPN
ap-9725	213	10	,	,	PUNCT
ap-9725	213	11	numpy	numpy	NOUN
ap-9725	213	12	,	,	PUNCT
ap-9725	213	13	pylab	pylab	NOUN
ap-9725	213	14	,	,	PUNCT
ap-9725	213	15	scipy	scipy	NOUN
ap-9725	213	16	,	,	PUNCT
ap-9725	213	17	time	time	NOUN
ap-9725	213	18	implementation	implementation	NOUN
ap-9725	213	19	environment	environment	NOUN
ap-9725	213	20	tensorflow	tensorflow	NOUN
ap-9725	213	21	,	,	PUNCT
ap-9725	213	22	cuda	cuda	PROPN
ap-9725	213	23	,	,	PUNCT
ap-9725	213	24	keras	keras	PROPN
ap-9725	213	25	dataset	dataset	VERB
ap-9725	213	26	rlvs-2019	rlvs-2019	ADP
ap-9725	213	27	the	the	DET
ap-9725	213	28	operating	operating	NOUN
ap-9725	213	29	system	system	NOUN
ap-9725	213	30	windows	window	VERB
ap-9725	213	31	11	11	NUM
ap-9725	213	32	pro	pro	ADJ
ap-9725	213	33	64	64	NUM
ap-9725	213	34	-	-	PUNCT
ap-9725	213	35	bit	bit	NOUN
ap-9725	213	36	(	(	PUNCT
ap-9725	213	37	x64	x64	NOUN
ap-9725	213	38	)	)	PUNCT
ap-9725	213	39	cpu	cpu	NOUN
ap-9725	213	40	intel(r	intel(r	NOUN
ap-9725	213	41	)	)	PUNCT
ap-9725	213	42	core	core	NOUN
ap-9725	213	43	(	(	PUNCT
ap-9725	213	44	tm	tm	NOUN
ap-9725	213	45	)	)	PUNCT
ap-9725	213	46	i7	i7	ADJ
ap-9725	213	47	-	-	PUNCT
ap-9725	213	48	12800h	12800h	NUM
ap-9725	213	49	cpu	cpu	NOUN
ap-9725	213	50	@	@	ADP
ap-9725	213	51	5.0	5.0	NUM
ap-9725	213	52	ghz	ghz	NOUN
ap-9725	213	53	gpu	gpu	X
ap-9725	213	54	nvidia	nvidia	PROPN
ap-9725	213	55	quadro	quadro	PROPN
ap-9725	213	56	rtx	rtx	PROPN
ap-9725	213	57	a2000	a2000	PROPN
ap-9725	213	58	gpu	gpu	PROPN
ap-9725	213	59	8	8	NUM
ap-9725	214	1	gb	gb	NOUN
ap-9725	214	2	up	up	ADV
ap-9725	214	3	tp	tp	PART
ap-9725	214	4	24	24	NUM
ap-9725	214	5	gb	gb	NOUN
ap-9725	214	6	ram	ram	NOUN
ap-9725	214	7	32	32	NUM
ap-9725	214	8	gb	gb	NOUN
ap-9725	214	9	cuda	cuda	NOUN
ap-9725	214	10	9.0.176	9.0.176	PROPN
ap-9725	214	11	tensorflow	tensorflow	NOUN
ap-9725	214	12	2.3.0	2.3.0	NUM
ap-9725	214	13	table	table	NOUN
ap-9725	214	14	2	2	NUM
ap-9725	214	15	.	.	PUNCT
ap-9725	214	16	configuration	configuration	NOUN
ap-9725	214	17	of	of	ADP
ap-9725	214	18	the	the	DET
ap-9725	214	19	experimental	experimental	ADJ
ap-9725	214	20	environment	environment	NOUN
ap-9725	214	21	.	.	PUNCT
ap-9725	215	1	convolutional	convolutional	ADJ
ap-9725	215	2	block	block	NOUN
ap-9725	215	3	accuracy	accuracy	NOUN
ap-9725	215	4	accuracy	accuracy	NOUN
ap-9725	215	5	f1	f1	NOUN
ap-9725	215	6	-	-	PUNCT
ap-9725	215	7	score	score	NOUN
ap-9725	215	8	standard	standard	ADJ
ap-9725	215	9	training	training	NOUN
ap-9725	215	10	time	time	NOUN
ap-9725	215	11	[	[	X
ap-9725	215	12	s	s	X
ap-9725	215	13	]	]	X
ap-9725	215	14	average	average	ADJ
ap-9725	215	15	standard	standard	ADJ
ap-9725	215	16	deviation	deviation	NOUN
ap-9725	215	17	execution	execution	NOUN
ap-9725	215	18	deviation	deviation	NOUN
ap-9725	215	19	of	of	ADP
ap-9725	215	20	f1	f1	NOUN
ap-9725	215	21	-	-	PUNCT
ap-9725	215	22	score	score	NOUN
ap-9725	215	23	time	time	NOUN
ap-9725	215	24	[	[	X
ap-9725	215	25	ms	ms	X
ap-9725	215	26	]	]	X
ap-9725	215	27	simple	simple	ADJ
ap-9725	215	28	74.02	74.02	NUM
ap-9725	215	29	%	%	NOUN
ap-9725	215	30	1.02	1.02	NUM
ap-9725	215	31	73.41	73.41	NUM
ap-9725	215	32	%	%	NOUN
ap-9725	215	33	0.99	0.99	NUM
ap-9725	215	34	551.0	551.0	NUM
ap-9725	215	35	54.19	54.19	NUM
ap-9725	215	36	mobilenet	mobilenet	NOUN
ap-9725	215	37	v3	v3	PROPN
ap-9725	215	38	80.24	80.24	NUM
ap-9725	215	39	%	%	NOUN
ap-9725	215	40	0.25	0.25	NUM
ap-9725	215	41	80.33	80.33	NUM
ap-9725	215	42	%	%	NOUN
ap-9725	216	1	0.22	0.22	NUM
ap-9725	216	2	251.0	251.0	NUM
ap-9725	216	3	25.03	25.03	NUM
ap-9725	216	4	inceptionv3	inceptionv3	NOUN
ap-9725	216	5	76.41	76.41	NUM
ap-9725	216	6	%	%	NOUN
ap-9725	216	7	0.68	0.68	NUM
ap-9725	216	8	76.18	76.18	NUM
ap-9725	216	9	%	%	NOUN
ap-9725	216	10	0.73	0.73	NUM
ap-9725	216	11	451.0	451.0	NUM
ap-9725	216	12	39.69	39.69	NUM
ap-9725	216	13	vgg16	vgg16	NOUN
ap-9725	216	14	88.80	88.80	NUM
ap-9725	216	15	%	%	NOUN
ap-9725	216	16	0.19	0.19	NUM
ap-9725	216	17	88.51	88.51	NUM
ap-9725	216	18	%	%	NOUN
ap-9725	216	19	0.21	0.21	NUM
ap-9725	216	20	556.0	556.0	NUM
ap-9725	216	21	52.25	52.25	NUM
ap-9725	216	22	table	table	NOUN
ap-9725	216	23	3	3	NUM
ap-9725	216	24	.	.	PUNCT
ap-9725	216	25	results	result	NOUN
ap-9725	216	26	obtained	obtain	VERB
ap-9725	216	27	by	by	ADP
ap-9725	216	28	late	late	ADJ
ap-9725	216	29	-	-	PUNCT
ap-9725	216	30	fusion	fusion	NOUN
ap-9725	216	31	-	-	PUNCT
ap-9725	216	32	based	base	VERB
ap-9725	216	33	models	model	NOUN
ap-9725	216	34	.	.	PUNCT
ap-9725	217	1	cations	cation	NOUN
ap-9725	217	2	carried	carry	VERB
ap-9725	217	3	out	out	ADP
ap-9725	217	4	,	,	PUNCT
ap-9725	217	5	bringing	bring	VERB
ap-9725	217	6	an	an	DET
ap-9725	217	7	intuitive	intuitive	ADJ
ap-9725	217	8	notion	notion	NOUN
ap-9725	217	9	of	of	ADP
ap-9725	217	10	the	the	DET
ap-9725	217	11	model	model	NOUN
ap-9725	217	12	’s	’s	PART
ap-9725	217	13	performance	performance	NOUN
ap-9725	217	14	and	and	CCONJ
ap-9725	217	15	,	,	PUNCT
ap-9725	217	16	in	in	ADP
ap-9725	217	17	this	this	DET
ap-9725	217	18	case	case	NOUN
ap-9725	217	19	,	,	PUNCT
ap-9725	217	20	reliability	reliability	NOUN
ap-9725	217	21	because	because	SCONJ
ap-9725	217	22	it	it	PRON
ap-9725	217	23	is	be	AUX
ap-9725	217	24	a	a	DET
ap-9725	217	25	model	model	NOUN
ap-9725	217	26	trained	train	VERB
ap-9725	217	27	from	from	ADP
ap-9725	217	28	a	a	DET
ap-9725	217	29	balanced	balanced	ADJ
ap-9725	217	30	database	database	NOUN
ap-9725	217	31	.	.	PUNCT
ap-9725	218	1	(	(	PUNCT
ap-9725	218	2	2	2	NUM
ap-9725	218	3	.	.	NUM
ap-9725	218	4	)	)	PUNCT
ap-9725	218	5	f1	f1	NOUN
ap-9725	218	6	-	-	PUNCT
ap-9725	218	7	score	score	NOUN
ap-9725	218	8	:	:	PUNCT
ap-9725	218	9	however	however	ADV
ap-9725	218	10	,	,	PUNCT
ap-9725	218	11	we	we	PRON
ap-9725	218	12	also	also	ADV
ap-9725	218	13	use	use	VERB
ap-9725	218	14	the	the	DET
ap-9725	218	15	f1	f1	NOUN
ap-9725	218	16	-	-	PUNCT
ap-9725	218	17	score	score	NOUN
ap-9725	218	18	as	as	ADP
ap-9725	218	19	a	a	DET
ap-9725	218	20	harmonic	harmonic	ADJ
ap-9725	218	21	mean	mean	NOUN
ap-9725	218	22	of	of	ADP
ap-9725	218	23	precision	precision	NOUN
ap-9725	218	24	and	and	CCONJ
ap-9725	218	25	recall	recall	NOUN
ap-9725	218	26	,	,	PUNCT
ap-9725	218	27	which	which	PRON
ap-9725	218	28	balances	balance	VERB
ap-9725	218	29	the	the	DET
ap-9725	218	30	trade	trade	NOUN
ap-9725	218	31	-	-	PUNCT
ap-9725	218	32	off	off	NOUN
ap-9725	218	33	between	between	ADP
ap-9725	218	34	these	these	DET
ap-9725	218	35	two	two	NUM
ap-9725	218	36	metrics	metric	NOUN
ap-9725	218	37	.	.	PUNCT
ap-9725	219	1	precision	precision	NOUN
ap-9725	219	2	measures	measure	VERB
ap-9725	219	3	the	the	DET
ap-9725	219	4	accuracy	accuracy	NOUN
ap-9725	219	5	of	of	ADP
ap-9725	219	6	positive	positive	ADJ
ap-9725	219	7	predictions	prediction	NOUN
ap-9725	219	8	(	(	PUNCT
ap-9725	219	9	i.e.	i.e.	X
ap-9725	219	10	how	how	SCONJ
ap-9725	219	11	many	many	ADJ
ap-9725	219	12	predicted	predict	VERB
ap-9725	219	13	violent	violent	ADJ
ap-9725	219	14	videos	video	NOUN
ap-9725	219	15	are	be	AUX
ap-9725	219	16	actually	actually	ADV
ap-9725	219	17	violent	violent	ADJ
ap-9725	219	18	)	)	PUNCT
ap-9725	219	19	,	,	PUNCT
ap-9725	219	20	while	while	SCONJ
ap-9725	219	21	recall	recall	NOUN
ap-9725	219	22	measures	measure	VERB
ap-9725	219	23	the	the	DET
ap-9725	219	24	ability	ability	NOUN
ap-9725	219	25	to	to	PART
ap-9725	219	26	identify	identify	VERB
ap-9725	219	27	all	all	DET
ap-9725	219	28	positive	positive	ADJ
ap-9725	219	29	instances	instance	NOUN
ap-9725	219	30	(	(	PUNCT
ap-9725	219	31	i.e.	i.e.	X
ap-9725	219	32	how	how	SCONJ
ap-9725	219	33	many	many	ADJ
ap-9725	219	34	actual	actual	ADJ
ap-9725	219	35	violent	violent	ADJ
ap-9725	219	36	videos	video	NOUN
ap-9725	219	37	are	be	AUX
ap-9725	219	38	correctly	correctly	ADV
ap-9725	219	39	identified	identify	VERB
ap-9725	219	40	)	)	PUNCT
ap-9725	219	41	.	.	PUNCT
ap-9725	220	1	the	the	DET
ap-9725	220	2	f1	f1	NOUN
ap-9725	220	3	-	-	PUNCT
ap-9725	220	4	score	score	NOUN
ap-9725	220	5	is	be	AUX
ap-9725	220	6	particularly	particularly	ADV
ap-9725	220	7	useful	useful	ADJ
ap-9725	220	8	in	in	ADP
ap-9725	220	9	imbalanced	imbalanced	ADJ
ap-9725	220	10	datasets	dataset	NOUN
ap-9725	220	11	,	,	PUNCT
ap-9725	220	12	as	as	SCONJ
ap-9725	220	13	it	it	PRON
ap-9725	220	14	provides	provide	VERB
ap-9725	220	15	a	a	DET
ap-9725	220	16	single	single	ADJ
ap-9725	220	17	metric	metric	NOUN
ap-9725	220	18	that	that	PRON
ap-9725	220	19	accounts	account	VERB
ap-9725	220	20	for	for	ADP
ap-9725	220	21	both	both	DET
ap-9725	220	22	false	false	ADJ
ap-9725	220	23	positives	positive	NOUN
ap-9725	220	24	and	and	CCONJ
ap-9725	220	25	false	false	ADJ
ap-9725	220	26	negatives	negative	NOUN
ap-9725	220	27	.	.	PUNCT
ap-9725	221	1	in	in	ADP
ap-9725	221	2	our	our	PRON
ap-9725	221	3	case	case	NOUN
ap-9725	221	4	,	,	PUNCT
ap-9725	221	5	since	since	SCONJ
ap-9725	221	6	the	the	DET
ap-9725	221	7	dataset	dataset	NOUN
ap-9725	221	8	is	be	AUX
ap-9725	221	9	balanced	balanced	ADJ
ap-9725	221	10	,	,	PUNCT
ap-9725	221	11	we	we	PRON
ap-9725	221	12	also	also	ADV
ap-9725	221	13	rely	rely	VERB
ap-9725	221	14	on	on	ADP
ap-9725	221	15	accuracy	accuracy	NOUN
ap-9725	221	16	as	as	ADP
ap-9725	221	17	a	a	DET
ap-9725	221	18	primary	primary	ADJ
ap-9725	221	19	metric	metric	NOUN
ap-9725	221	20	.	.	PUNCT
ap-9725	222	1	however	however	ADV
ap-9725	222	2	,	,	PUNCT
ap-9725	222	3	the	the	DET
ap-9725	222	4	f1	f1	NOUN
ap-9725	222	5	-	-	PUNCT
ap-9725	222	6	score	score	NOUN
ap-9725	222	7	offers	offer	VERB
ap-9725	222	8	a	a	DET
ap-9725	222	9	more	more	ADV
ap-9725	222	10	robust	robust	ADJ
ap-9725	222	11	evaluation	evaluation	NOUN
ap-9725	222	12	of	of	ADP
ap-9725	222	13	the	the	DET
ap-9725	222	14	model	model	NOUN
ap-9725	222	15	performance	performance	NOUN
ap-9725	222	16	,	,	PUNCT
ap-9725	222	17	especially	especially	ADV
ap-9725	222	18	in	in	ADP
ap-9725	222	19	tasks	task	NOUN
ap-9725	222	20	where	where	SCONJ
ap-9725	222	21	both	both	DET
ap-9725	222	22	false	false	ADJ
ap-9725	222	23	positives	positive	NOUN
ap-9725	222	24	and	and	CCONJ
ap-9725	222	25	false	false	ADJ
ap-9725	222	26	negatives	negative	NOUN
ap-9725	222	27	are	be	AUX
ap-9725	222	28	critical	critical	ADJ
ap-9725	222	29	,	,	PUNCT
ap-9725	222	30	as	as	SCONJ
ap-9725	222	31	indicated	indicate	VERB
ap-9725	222	32	by	by	ADP
ap-9725	222	33	:	:	PUNCT
ap-9725	222	34	f1	f1	ADJ
ap-9725	222	35	-	-	PUNCT
ap-9725	222	36	score	score	NOUN
ap-9725	222	37	=	=	SYM
ap-9725	222	38	2	2	NUM
ap-9725	222	39	×	×	NOUN
ap-9725	222	40	precision	precision	NOUN
ap-9725	222	41	×	×	PROPN
ap-9725	222	42	recall	recall	NOUN
ap-9725	222	43	precision	precision	NOUN
ap-9725	222	44	+	+	CCONJ
ap-9725	222	45	recall	recall	NOUN
ap-9725	222	46	,	,	PUNCT
ap-9725	222	47	(	(	PUNCT
ap-9725	222	48	2	2	NUM
ap-9725	222	49	)	)	PUNCT
ap-9725	222	50	precision	precision	NOUN
ap-9725	222	51	=	=	PUNCT
ap-9725	222	52	tp	tp	NOUN
ap-9725	222	53	tp	tp	ADP
ap-9725	222	54	+	+	CCONJ
ap-9725	222	55	fp	fp	INTJ
ap-9725	222	56	,	,	PUNCT
ap-9725	222	57	(	(	PUNCT
ap-9725	222	58	3	3	X
ap-9725	222	59	)	)	PUNCT
ap-9725	222	60	recall	recall	NOUN
ap-9725	222	61	=	=	VERB
ap-9725	222	62	tp	tp	NOUN
ap-9725	222	63	tp	tp	NOUN
ap-9725	222	64	+	+	CCONJ
ap-9725	222	65	fn	fn	INTJ
ap-9725	222	66	.	.	PUNCT
ap-9725	223	1	(	(	PUNCT
ap-9725	223	2	4	4	X
ap-9725	223	3	)	)	PUNCT
ap-9725	223	4	using	use	VERB
ap-9725	223	5	the	the	DET
ap-9725	223	6	k	k	ADJ
ap-9725	223	7	-	-	ADJ
ap-9725	223	8	fold	fold	ADJ
ap-9725	223	9	technique	technique	NOUN
ap-9725	223	10	for	for	ADP
ap-9725	223	11	model	model	NOUN
ap-9725	223	12	validation	validation	NOUN
ap-9725	223	13	,	,	PUNCT
ap-9725	223	14	we	we	PRON
ap-9725	223	15	present	present	VERB
ap-9725	223	16	the	the	DET
ap-9725	223	17	accuracy	accuracy	NOUN
ap-9725	223	18	and	and	CCONJ
ap-9725	223	19	f1	f1	NOUN
ap-9725	223	20	-	-	PUNCT
ap-9725	223	21	average	average	NOUN
ap-9725	223	22	scores	score	NOUN
ap-9725	223	23	,	,	PUNCT
ap-9725	223	24	along	along	ADP
ap-9725	223	25	with	with	ADP
ap-9725	223	26	their	their	PRON
ap-9725	223	27	respective	respective	ADJ
ap-9725	223	28	standard	standard	ADJ
ap-9725	223	29	deviations	deviation	NOUN
ap-9725	223	30	,	,	PUNCT
ap-9725	223	31	once	once	SCONJ
ap-9725	223	32	we	we	PRON
ap-9725	223	33	have	have	AUX
ap-9725	223	34	completed	complete	VERB
ap-9725	223	35	all	all	DET
ap-9725	223	36	cross	cross	ADJ
ap-9725	223	37	-	-	ADJ
ap-9725	223	38	validation	validation	ADJ
ap-9725	223	39	iterations	iteration	NOUN
ap-9725	223	40	.	.	PUNCT
ap-9725	224	1	we	we	PRON
ap-9725	224	2	also	also	ADV
ap-9725	224	3	present	present	VERB
ap-9725	224	4	the	the	DET
ap-9725	224	5	temporal	temporal	ADJ
ap-9725	224	6	metrics	metric	NOUN
ap-9725	224	7	,	,	PUNCT
ap-9725	224	8	including	include	VERB
ap-9725	224	9	the	the	DET
ap-9725	224	10	training	training	NOUN
ap-9725	224	11	time	time	NOUN
ap-9725	224	12	in	in	ADP
ap-9725	224	13	seconds	second	NOUN
ap-9725	224	14	and	and	CCONJ
ap-9725	224	15	the	the	DET
ap-9725	224	16	average	average	ADJ
ap-9725	224	17	execution	execution	NOUN
ap-9725	224	18	time	time	NOUN
ap-9725	224	19	in	in	ADP
ap-9725	224	20	milliseconds	millisecond	NOUN
ap-9725	224	21	,	,	PUNCT
ap-9725	224	22	to	to	PART
ap-9725	224	23	assess	assess	VERB
ap-9725	224	24	the	the	DET
ap-9725	224	25	computational	computational	ADJ
ap-9725	224	26	performance	performance	NOUN
ap-9725	224	27	of	of	ADP
ap-9725	224	28	the	the	DET
ap-9725	224	29	models	model	NOUN
ap-9725	224	30	.	.	PUNCT
ap-9725	225	1	4	4	X
ap-9725	225	2	.	.	NOUN
ap-9725	225	3	results	result	NOUN
ap-9725	225	4	and	and	CCONJ
ap-9725	225	5	discussion	discussion	NOUN
ap-9725	225	6	this	this	DET
ap-9725	225	7	section	section	NOUN
ap-9725	225	8	shows	show	VERB
ap-9725	225	9	the	the	DET
ap-9725	225	10	results	result	NOUN
ap-9725	225	11	obtained	obtain	VERB
ap-9725	225	12	from	from	ADP
ap-9725	225	13	the	the	DET
ap-9725	225	14	experiments	experiment	NOUN
ap-9725	225	15	performed	perform	VERB
ap-9725	225	16	according	accord	VERB
ap-9725	225	17	to	to	ADP
ap-9725	225	18	the	the	DET
ap-9725	225	19	proposed	propose	VERB
ap-9725	225	20	strategy	strategy	NOUN
ap-9725	225	21	for	for	ADP
ap-9725	225	22	video	video	NOUN
ap-9725	225	23	classification	classification	NOUN
ap-9725	225	24	to	to	PART
ap-9725	225	25	identify	identify	VERB
ap-9725	225	26	instances	instance	NOUN
ap-9725	225	27	of	of	ADP
ap-9725	225	28	violence	violence	NOUN
ap-9725	225	29	.	.	PUNCT
ap-9725	226	1	the	the	DET
ap-9725	226	2	training	training	NOUN
ap-9725	226	3	and	and	CCONJ
ap-9725	226	4	validation	validation	NOUN
ap-9725	226	5	of	of	ADP
ap-9725	226	6	all	all	DET
ap-9725	226	7	models	model	NOUN
ap-9725	226	8	were	be	AUX
ap-9725	226	9	based	base	VERB
ap-9725	226	10	on	on	ADP
ap-9725	226	11	k	k	ADJ
ap-9725	226	12	-	-	ADJ
ap-9725	226	13	fold	fold	ADJ
ap-9725	226	14	cross	cross	NOUN
ap-9725	226	15	-	-	NOUN
ap-9725	226	16	validation	validation	NOUN
ap-9725	226	17	,	,	PUNCT
ap-9725	226	18	which	which	PRON
ap-9725	226	19	divided	divide	VERB
ap-9725	226	20	the	the	DET
ap-9725	226	21	base	base	NOUN
ap-9725	226	22	into	into	ADP
ap-9725	226	23	10	10	NUM
ap-9725	226	24	test	test	NOUN
ap-9725	226	25	splits	split	NOUN
ap-9725	226	26	.	.	PUNCT
ap-9725	227	1	for	for	ADP
ap-9725	227	2	the	the	DET
ap-9725	227	3	models	model	NOUN
ap-9725	227	4	that	that	PRON
ap-9725	227	5	used	use	VERB
ap-9725	227	6	tl	tl	PROPN
ap-9725	227	7	,	,	PUNCT
ap-9725	227	8	only	only	ADV
ap-9725	227	9	the	the	DET
ap-9725	227	10	output	output	NOUN
ap-9725	227	11	block	block	NOUN
ap-9725	227	12	had	have	VERB
ap-9725	227	13	its	its	PRON
ap-9725	227	14	neural	neural	ADJ
ap-9725	227	15	weights	weight	NOUN
ap-9725	227	16	adjusted	adjust	VERB
ap-9725	227	17	,	,	PUNCT
ap-9725	227	18	while	while	SCONJ
ap-9725	227	19	the	the	DET
ap-9725	227	20	models	model	NOUN
ap-9725	227	21	that	that	PRON
ap-9725	227	22	used	use	VERB
ap-9725	227	23	a	a	DET
ap-9725	227	24	simple	simple	ADJ
ap-9725	227	25	network	network	NOUN
ap-9725	227	26	had	have	VERB
ap-9725	227	27	all	all	DET
ap-9725	227	28	their	their	PRON
ap-9725	227	29	layers	layer	NOUN
ap-9725	227	30	trained	train	VERB
ap-9725	227	31	.	.	PUNCT
ap-9725	228	1	these	these	DET
ap-9725	228	2	subsections	subsection	NOUN
ap-9725	228	3	showcase	showcase	VERB
ap-9725	228	4	the	the	DET
ap-9725	228	5	validation	validation	NOUN
ap-9725	228	6	phase	phase	NOUN
ap-9725	228	7	results	result	VERB
ap-9725	228	8	,	,	PUNCT
ap-9725	228	9	categorising	categorise	VERB
ap-9725	228	10	them	they	PRON
ap-9725	228	11	into	into	ADP
ap-9725	228	12	late	late	ADJ
ap-9725	228	13	fusion	fusion	NOUN
ap-9725	228	14	,	,	PUNCT
ap-9725	228	15	early	early	ADJ
ap-9725	228	16	fusion	fusion	NOUN
ap-9725	228	17	,	,	PUNCT
ap-9725	228	18	and	and	CCONJ
ap-9725	228	19	slow	slow	ADJ
ap-9725	228	20	fusion	fusion	NOUN
ap-9725	228	21	.	.	PUNCT
ap-9725	229	1	these	these	DET
ap-9725	229	2	subsections	subsection	NOUN
ap-9725	229	3	evaluate	evaluate	VERB
ap-9725	229	4	and	and	CCONJ
ap-9725	229	5	present	present	VERB
ap-9725	229	6	the	the	DET
ap-9725	229	7	performance	performance	NOUN
ap-9725	229	8	of	of	ADP
ap-9725	229	9	the	the	DET
ap-9725	229	10	proposed	propose	VERB
ap-9725	229	11	models	model	NOUN
ap-9725	229	12	for	for	ADP
ap-9725	229	13	each	each	DET
ap-9725	229	14	temporal	temporal	ADJ
ap-9725	229	15	fusion	fusion	NOUN
ap-9725	229	16	technique	technique	NOUN
ap-9725	229	17	.	.	PUNCT
ap-9725	230	1	finally	finally	ADV
ap-9725	230	2	,	,	PUNCT
ap-9725	230	3	they	they	PRON
ap-9725	230	4	draw	draw	VERB
ap-9725	230	5	comparisons	comparison	NOUN
ap-9725	230	6	with	with	ADP
ap-9725	230	7	related	related	ADJ
ap-9725	230	8	works	work	NOUN
ap-9725	230	9	by	by	ADP
ap-9725	230	10	comparing	compare	VERB
ap-9725	230	11	the	the	DET
ap-9725	230	12	performance	performance	NOUN
ap-9725	230	13	of	of	ADP
ap-9725	230	14	the	the	DET
ap-9725	230	15	proposed	propose	VERB
ap-9725	230	16	models	model	NOUN
ap-9725	230	17	’	'	PUNCT
ap-9725	230	18	to	to	ADP
ap-9725	230	19	the	the	DET
ap-9725	230	20	state	state	NOUN
ap-9725	230	21	-	-	PUNCT
ap-9725	230	22	of	of	ADP
ap-9725	230	23	-	-	PUNCT
ap-9725	230	24	the	the	DET
ap-9725	230	25	-	-	PUNCT
ap-9725	230	26	art	art	NOUN
ap-9725	230	27	.	.	PUNCT
ap-9725	231	1	4.1	4.1	NUM
ap-9725	231	2	.	.	PUNCT
ap-9725	232	1	late	late	ADJ
ap-9725	232	2	fusion	fusion	NOUN
ap-9725	232	3	table	table	NOUN
ap-9725	232	4	3	3	NUM
ap-9725	232	5	presents	present	VERB
ap-9725	232	6	the	the	DET
ap-9725	232	7	results	result	NOUN
ap-9725	232	8	obtained	obtain	VERB
ap-9725	232	9	by	by	ADP
ap-9725	232	10	the	the	DET
ap-9725	232	11	models	model	NOUN
ap-9725	232	12	based	base	VERB
ap-9725	232	13	on	on	ADP
ap-9725	232	14	the	the	DET
ap-9725	232	15	late	late	ADJ
ap-9725	232	16	fusion	fusion	NOUN
ap-9725	232	17	technique	technique	NOUN
ap-9725	232	18	,	,	PUNCT
ap-9725	232	19	in	in	ADP
ap-9725	232	20	which	which	PRON
ap-9725	232	21	the	the	DET
ap-9725	232	22	first	first	ADJ
ap-9725	232	23	and	and	CCONJ
ap-9725	232	24	last	last	ADJ
ap-9725	232	25	frame	frame	NOUN
ap-9725	232	26	of	of	ADP
ap-9725	232	27	each	each	DET
ap-9725	232	28	video	video	NOUN
ap-9725	232	29	of	of	ADP
ap-9725	232	30	the	the	DET
ap-9725	232	31	base	base	NOUN
ap-9725	232	32	are	be	AUX
ap-9725	232	33	presented	present	VERB
ap-9725	232	34	individually	individually	ADV
ap-9725	232	35	for	for	ADP
ap-9725	232	36	the	the	DET
ap-9725	232	37	convolutional	convolutional	ADJ
ap-9725	232	38	blocks	block	NOUN
ap-9725	232	39	listed	list	VERB
ap-9725	232	40	in	in	ADP
ap-9725	232	41	the	the	DET
ap-9725	232	42	table	table	NOUN
ap-9725	232	43	,	,	PUNCT
ap-9725	232	44	followed	follow	VERB
ap-9725	232	45	by	by	ADP
ap-9725	232	46	the	the	DET
ap-9725	232	47	output	output	NOUN
ap-9725	232	48	block	block	NOUN
ap-9725	232	49	that	that	PRON
ap-9725	232	50	contains	contain	VERB
ap-9725	232	51	the	the	DET
ap-9725	232	52	lstm	lstm	NOUN
ap-9725	232	53	and	and	CCONJ
ap-9725	232	54	feedforward	feedforward	NOUN
ap-9725	232	55	layers	layer	NOUN
ap-9725	232	56	.	.	PUNCT
ap-9725	233	1	the	the	DET
ap-9725	233	2	results	result	NOUN
ap-9725	233	3	proved	prove	VERB
ap-9725	233	4	to	to	PART
ap-9725	233	5	be	be	AUX
ap-9725	233	6	reliable	reliable	ADJ
ap-9725	233	7	due	due	ADP
ap-9725	233	8	to	to	ADP
ap-9725	233	9	the	the	DET
ap-9725	233	10	fact	fact	NOUN
ap-9725	233	11	that	that	SCONJ
ap-9725	233	12	the	the	DET
ap-9725	233	13	accuracy	accuracy	NOUN
ap-9725	233	14	and	and	CCONJ
ap-9725	233	15	f1	f1	NOUN
ap-9725	233	16	-	-	PUNCT
ap-9725	233	17	score	score	NOUN
ap-9725	233	18	showed	show	VERB
ap-9725	233	19	similar	similar	ADJ
ap-9725	233	20	values	value	NOUN
ap-9725	233	21	,	,	PUNCT
ap-9725	233	22	indicating	indicate	VERB
ap-9725	233	23	that	that	SCONJ
ap-9725	233	24	the	the	DET
ap-9725	233	25	training	training	NOUN
ap-9725	233	26	of	of	ADP
ap-9725	233	27	the	the	DET
ap-9725	233	28	models	model	NOUN
ap-9725	233	29	was	be	AUX
ap-9725	233	30	conducted	conduct	VERB
ap-9725	233	31	properly	properly	ADV
ap-9725	233	32	.	.	PUNCT
ap-9725	234	1	313	313	NUM
ap-9725	234	2	k.	k.	PROPN
ap-9725	234	3	merit	merit	PROPN
ap-9725	234	4	,	,	PUNCT
ap-9725	234	5	m.	m.	NOUN
ap-9725	234	6	beladgham	beladgham	PROPN
ap-9725	234	7	,	,	PUNCT
ap-9725	234	8	a.	a.	NOUN
ap-9725	234	9	taleb	taleb	PROPN
ap-9725	234	10	-	-	PUNCT
ap-9725	234	11	ahmed	ahme	VERB
ap-9725	234	12	acta	acta	PROPN
ap-9725	234	13	polytechnica	polytechnica	PROPN
ap-9725	234	14	convolutional	convolutional	ADJ
ap-9725	234	15	block	block	NOUN
ap-9725	234	16	accuracy	accuracy	NOUN
ap-9725	234	17	accuracy	accuracy	NOUN
ap-9725	234	18	f1	f1	NOUN
ap-9725	234	19	-	-	PUNCT
ap-9725	234	20	score	score	NOUN
ap-9725	234	21	standard	standard	ADJ
ap-9725	234	22	training	training	NOUN
ap-9725	234	23	time	time	NOUN
ap-9725	234	24	[	[	X
ap-9725	234	25	s	s	X
ap-9725	234	26	]	]	X
ap-9725	234	27	average	average	ADJ
ap-9725	234	28	standard	standard	ADJ
ap-9725	234	29	deviation	deviation	NOUN
ap-9725	234	30	execution	execution	NOUN
ap-9725	234	31	deviation	deviation	NOUN
ap-9725	234	32	of	of	ADP
ap-9725	234	33	f1	f1	NOUN
ap-9725	234	34	-	-	PUNCT
ap-9725	234	35	score	score	NOUN
ap-9725	234	36	time	time	NOUN
ap-9725	234	37	[	[	X
ap-9725	234	38	ms	ms	X
ap-9725	234	39	]	]	X
ap-9725	234	40	simple	simple	ADJ
ap-9725	234	41	71.72	71.72	NUM
ap-9725	234	42	%	%	NOUN
ap-9725	234	43	1.21	1.21	NUM
ap-9725	234	44	70.91	70.91	NUM
ap-9725	234	45	%	%	NOUN
ap-9725	234	46	1.11	1.11	NUM
ap-9725	234	47	526.0	526.0	NUM
ap-9725	234	48	48.13	48.13	NUM
ap-9725	234	49	mobilenet	mobilenet	NOUN
ap-9725	234	50	v3	v3	PROPN
ap-9725	234	51	85.31	85.31	NUM
ap-9725	234	52	%	%	NOUN
ap-9725	234	53	0.91	0.91	NUM
ap-9725	234	54	84.93	84.93	NUM
ap-9725	234	55	%	%	NOUN
ap-9725	234	56	0.90	0.90	NUM
ap-9725	234	57	231.0	231.0	NUM
ap-9725	234	58	28.12	28.12	NUM
ap-9725	234	59	inceptionv3	inceptionv3	NOUN
ap-9725	234	60	72.25	72.25	NUM
ap-9725	234	61	%	%	NOUN
ap-9725	234	62	0.15	0.15	NUM
ap-9725	234	63	71.41	71.41	NUM
ap-9725	234	64	%	%	NOUN
ap-9725	234	65	0.21	0.21	NUM
ap-9725	234	66	480.0	480.0	NUM
ap-9725	234	67	45.60	45.60	NUM
ap-9725	234	68	vgg16	vgg16	NOUN
ap-9725	234	69	84.13	84.13	NUM
ap-9725	234	70	%	%	NOUN
ap-9725	234	71	0.32	0.32	NUM
ap-9725	234	72	83.22	83.22	NUM
ap-9725	234	73	%	%	NOUN
ap-9725	234	74	0.42	0.42	NUM
ap-9725	234	75	521.0	521.0	NUM
ap-9725	234	76	50.81	50.81	NUM
ap-9725	234	77	table	table	NOUN
ap-9725	234	78	4	4	NUM
ap-9725	234	79	.	.	PUNCT
ap-9725	234	80	results	result	NOUN
ap-9725	234	81	obtained	obtain	VERB
ap-9725	234	82	by	by	ADP
ap-9725	234	83	early	early	ADJ
ap-9725	234	84	fusion	fusion	NOUN
ap-9725	234	85	-	-	PUNCT
ap-9725	234	86	based	base	VERB
ap-9725	234	87	models	model	NOUN
ap-9725	234	88	.	.	PUNCT
ap-9725	235	1	convolutional	convolutional	ADJ
ap-9725	235	2	block	block	NOUN
ap-9725	235	3	accuracy	accuracy	NOUN
ap-9725	235	4	accuracy	accuracy	NOUN
ap-9725	235	5	f1	f1	NOUN
ap-9725	235	6	-	-	PUNCT
ap-9725	235	7	score	score	NOUN
ap-9725	235	8	standard	standard	ADJ
ap-9725	235	9	training	training	NOUN
ap-9725	235	10	time	time	NOUN
ap-9725	235	11	[	[	X
ap-9725	235	12	s	s	X
ap-9725	235	13	]	]	X
ap-9725	235	14	average	average	ADJ
ap-9725	235	15	standard	standard	ADJ
ap-9725	235	16	deviation	deviation	NOUN
ap-9725	235	17	execution	execution	NOUN
ap-9725	235	18	deviation	deviation	NOUN
ap-9725	235	19	of	of	ADP
ap-9725	235	20	f1	f1	NOUN
ap-9725	235	21	-	-	PUNCT
ap-9725	235	22	score	score	NOUN
ap-9725	235	23	time	time	NOUN
ap-9725	235	24	[	[	X
ap-9725	235	25	ms	ms	X
ap-9725	235	26	]	]	X
ap-9725	235	27	simple	simple	ADJ
ap-9725	235	28	72.34	72.34	NUM
ap-9725	235	29	%	%	NOUN
ap-9725	235	30	0.26	0.26	NUM
ap-9725	235	31	70.15	70.15	NUM
ap-9725	235	32	%	%	NOUN
ap-9725	235	33	0.34	0.34	NUM
ap-9725	235	34	651.0	651.0	NUM
ap-9725	235	35	61.33	61.33	NUM
ap-9725	235	36	mobilenet	mobilenet	NOUN
ap-9725	235	37	v3	v3	PROPN
ap-9725	235	38	91.03	91.03	NUM
ap-9725	235	39	%	%	NOUN
ap-9725	235	40	0.68	0.68	NUM
ap-9725	235	41	90.90	90.90	NUM
ap-9725	235	42	%	%	NOUN
ap-9725	235	43	0.62	0.62	NUM
ap-9725	235	44	291.0	291.0	NUM
ap-9725	235	45	29.93	29.93	NUM
ap-9725	235	46	inceptionv3	inceptionv3	NOUN
ap-9725	235	47	76.67	76.67	NUM
ap-9725	235	48	%	%	NOUN
ap-9725	235	49	0.22	0.22	NUM
ap-9725	235	50	76.01	76.01	NUM
ap-9725	235	51	%	%	NOUN
ap-9725	235	52	0.22	0.22	NUM
ap-9725	235	53	501.0	501.0	NUM
ap-9725	235	54	49.85	49.85	NUM
ap-9725	235	55	vgg16	vgg16	NOUN
ap-9725	235	56	89.09	89.09	NUM
ap-9725	235	57	%	%	NOUN
ap-9725	235	58	1.21	1.21	NUM
ap-9725	235	59	88.72	88.72	NUM
ap-9725	235	60	%	%	NOUN
ap-9725	235	61	1.00	1.00	NUM
ap-9725	235	62	631.00	631.00	NUM
ap-9725	235	63	56.48	56.48	NUM
ap-9725	235	64	table	table	NOUN
ap-9725	235	65	5	5	NUM
ap-9725	235	66	.	.	PUNCT
ap-9725	235	67	results	result	NOUN
ap-9725	235	68	obtained	obtain	VERB
ap-9725	235	69	by	by	ADP
ap-9725	235	70	slow	slow	ADJ
ap-9725	235	71	fusion	fusion	NOUN
ap-9725	235	72	-	-	PUNCT
ap-9725	235	73	based	base	VERB
ap-9725	235	74	models	model	NOUN
ap-9725	235	75	.	.	PUNCT
ap-9725	236	1	for	for	ADP
ap-9725	236	2	this	this	DET
ap-9725	236	3	approach	approach	NOUN
ap-9725	236	4	,	,	PUNCT
ap-9725	236	5	the	the	DET
ap-9725	236	6	vgg16	vgg16	NOUN
ap-9725	236	7	convolutional	convolutional	ADJ
ap-9725	236	8	block	block	NOUN
ap-9725	236	9	model	model	NOUN
ap-9725	236	10	showed	show	VERB
ap-9725	236	11	better	well	ADJ
ap-9725	236	12	results	result	NOUN
ap-9725	236	13	regarding	regard	VERB
ap-9725	236	14	accuracy	accuracy	NOUN
ap-9725	236	15	and	and	CCONJ
ap-9725	236	16	f1	f1	NOUN
ap-9725	236	17	-	-	PUNCT
ap-9725	236	18	score	score	NOUN
ap-9725	236	19	,	,	PUNCT
ap-9725	236	20	surpassing	surpass	VERB
ap-9725	236	21	the	the	DET
ap-9725	236	22	inceptionv3	inceptionv3	NOUN
ap-9725	236	23	convolutional	convolutional	ADJ
ap-9725	236	24	block	block	NOUN
ap-9725	236	25	model	model	NOUN
ap-9725	236	26	by	by	ADP
ap-9725	236	27	about	about	ADV
ap-9725	236	28	12	12	NUM
ap-9725	236	29	%	%	NOUN
ap-9725	236	30	and	and	CCONJ
ap-9725	236	31	the	the	DET
ap-9725	236	32	simple	simple	ADJ
ap-9725	236	33	convolutional	convolutional	ADJ
ap-9725	236	34	block	block	NOUN
ap-9725	236	35	model	model	NOUN
ap-9725	236	36	by	by	ADP
ap-9725	236	37	14	14	NUM
ap-9725	236	38	%	%	NOUN
ap-9725	236	39	.	.	PUNCT
ap-9725	237	1	the	the	DET
ap-9725	237	2	result	result	NOUN
ap-9725	237	3	greater	great	ADJ
ap-9725	237	4	than	than	ADP
ap-9725	237	5	88	88	NUM
ap-9725	237	6	%	%	NOUN
ap-9725	237	7	accuracy	accuracy	NOUN
ap-9725	237	8	and	and	CCONJ
ap-9725	237	9	f1	f1	NOUN
ap-9725	237	10	-	-	PUNCT
ap-9725	237	11	score	score	NOUN
ap-9725	237	12	,	,	PUNCT
ap-9725	237	13	which	which	PRON
ap-9725	237	14	is	be	AUX
ap-9725	237	15	competitive	competitive	ADJ
ap-9725	237	16	with	with	ADP
ap-9725	237	17	state	state	NOUN
ap-9725	237	18	-	-	PUNCT
ap-9725	237	19	of	of	ADP
ap-9725	237	20	-	-	PUNCT
ap-9725	237	21	the	the	DET
ap-9725	237	22	-	-	PUNCT
ap-9725	237	23	art	art	NOUN
ap-9725	237	24	models	model	NOUN
ap-9725	237	25	,	,	PUNCT
ap-9725	237	26	still	still	ADV
ap-9725	237	27	suggest	suggest	VERB
ap-9725	237	28	possibilities	possibility	NOUN
ap-9725	237	29	for	for	ADP
ap-9725	237	30	improving	improve	VERB
ap-9725	237	31	the	the	DET
ap-9725	237	32	result	result	NOUN
ap-9725	237	33	by	by	ADP
ap-9725	237	34	the	the	DET
ap-9725	237	35	other	other	ADJ
ap-9725	237	36	temporal	temporal	ADJ
ap-9725	237	37	fusion	fusion	NOUN
ap-9725	237	38	techniques	technique	NOUN
ap-9725	237	39	,	,	PUNCT
ap-9725	237	40	since	since	SCONJ
ap-9725	237	41	late	late	ADJ
ap-9725	237	42	fusion	fusion	NOUN
ap-9725	237	43	is	be	AUX
ap-9725	237	44	the	the	DET
ap-9725	237	45	technique	technique	NOUN
ap-9725	237	46	that	that	PRON
ap-9725	237	47	least	least	ADJ
ap-9725	237	48	contributes	contribute	VERB
ap-9725	237	49	to	to	ADP
ap-9725	237	50	the	the	DET
ap-9725	237	51	extraction	extraction	NOUN
ap-9725	237	52	of	of	ADP
ap-9725	237	53	temporal	temporal	ADJ
ap-9725	237	54	characteristics	characteristic	NOUN
ap-9725	237	55	as	as	SCONJ
ap-9725	237	56	only	only	ADV
ap-9725	237	57	the	the	DET
ap-9725	237	58	initial	initial	ADJ
ap-9725	237	59	and	and	CCONJ
ap-9725	237	60	final	final	ADJ
ap-9725	237	61	frames	frame	NOUN
ap-9725	237	62	of	of	ADP
ap-9725	237	63	each	each	PRON
ap-9725	237	64	of	of	ADP
ap-9725	237	65	the	the	DET
ap-9725	237	66	examples	example	NOUN
ap-9725	237	67	are	be	AUX
ap-9725	237	68	used	use	VERB
ap-9725	237	69	.	.	PUNCT
ap-9725	238	1	the	the	DET
ap-9725	238	2	mobilenet	mobilenet	PROPN
ap-9725	238	3	v3	v3	PROPN
ap-9725	238	4	convolutional	convolutional	ADJ
ap-9725	238	5	block	block	NOUN
ap-9725	238	6	model	model	NOUN
ap-9725	238	7	outperformed	outperform	VERB
ap-9725	238	8	all	all	DET
ap-9725	238	9	others	other	NOUN
ap-9725	238	10	in	in	ADP
ap-9725	238	11	terms	term	NOUN
ap-9725	238	12	of	of	ADP
ap-9725	238	13	training	training	NOUN
ap-9725	238	14	and	and	CCONJ
ap-9725	238	15	execution	execution	NOUN
ap-9725	238	16	time	time	NOUN
ap-9725	238	17	,	,	PUNCT
ap-9725	238	18	as	as	SCONJ
ap-9725	238	19	predicted	predict	VERB
ap-9725	238	20	by	by	ADP
ap-9725	238	21	its	its	PRON
ap-9725	238	22	more	more	ADV
ap-9725	238	23	simplified	simplified	ADJ
ap-9725	238	24	architecture	architecture	NOUN
ap-9725	238	25	.	.	PUNCT
ap-9725	239	1	however	however	ADV
ap-9725	239	2	,	,	PUNCT
ap-9725	239	3	the	the	DET
ap-9725	239	4	metrics	metric	NOUN
ap-9725	239	5	for	for	ADP
ap-9725	239	6	the	the	DET
ap-9725	239	7	performance	performance	NOUN
ap-9725	239	8	of	of	ADP
ap-9725	239	9	the	the	DET
ap-9725	239	10	mobilenet	mobilenet	NOUN
ap-9725	239	11	-	-	PUNCT
ap-9725	239	12	based	base	VERB
ap-9725	239	13	model	model	NOUN
ap-9725	239	14	were	be	AUX
ap-9725	239	15	lower	low	ADJ
ap-9725	239	16	than	than	ADP
ap-9725	239	17	those	those	PRON
ap-9725	239	18	of	of	ADP
ap-9725	239	19	the	the	DET
ap-9725	239	20	vgg16	vgg16	NOUN
ap-9725	239	21	-	-	PUNCT
ap-9725	239	22	based	base	VERB
ap-9725	239	23	model	model	NOUN
ap-9725	239	24	.	.	PUNCT
ap-9725	240	1	4.2	4.2	NUM
ap-9725	240	2	.	.	PUNCT
ap-9725	241	1	early	early	ADJ
ap-9725	241	2	fusion	fusion	NOUN
ap-9725	241	3	table	table	NOUN
ap-9725	241	4	4	4	NUM
ap-9725	241	5	illustrates	illustrate	VERB
ap-9725	241	6	the	the	DET
ap-9725	241	7	performance	performance	NOUN
ap-9725	241	8	of	of	ADP
ap-9725	241	9	the	the	DET
ap-9725	241	10	models	model	NOUN
ap-9725	241	11	using	use	VERB
ap-9725	241	12	the	the	DET
ap-9725	241	13	convolutional	convolutional	ADJ
ap-9725	241	14	blocks	block	NOUN
ap-9725	241	15	from	from	ADP
ap-9725	241	16	the	the	DET
ap-9725	241	17	table	table	NOUN
ap-9725	241	18	and	and	CCONJ
ap-9725	241	19	the	the	DET
ap-9725	241	20	early	early	ADJ
ap-9725	241	21	fusion	fusion	NOUN
ap-9725	241	22	method	method	NOUN
ap-9725	241	23	,	,	PUNCT
ap-9725	241	24	which	which	PRON
ap-9725	241	25	combines	combine	VERB
ap-9725	241	26	10	10	NUM
ap-9725	241	27	frames	frame	NOUN
ap-9725	241	28	of	of	ADP
ap-9725	241	29	each	each	DET
ap-9725	241	30	video	video	NOUN
ap-9725	241	31	.	.	PUNCT
ap-9725	242	1	with	with	ADP
ap-9725	242	2	the	the	DET
ap-9725	242	3	exception	exception	NOUN
ap-9725	242	4	of	of	ADP
ap-9725	242	5	the	the	DET
ap-9725	242	6	mobilenet	mobilenet	NOUN
ap-9725	242	7	v3	v3	PROPN
ap-9725	242	8	convolutional	convolutional	ADJ
ap-9725	242	9	block	block	NOUN
ap-9725	242	10	model	model	NOUN
ap-9725	242	11	,	,	PUNCT
ap-9725	242	12	all	all	DET
ap-9725	242	13	other	other	ADJ
ap-9725	242	14	models	model	NOUN
ap-9725	242	15	showed	show	VERB
ap-9725	242	16	a	a	DET
ap-9725	242	17	performance	performance	NOUN
ap-9725	242	18	loss	loss	NOUN
ap-9725	242	19	when	when	SCONJ
ap-9725	242	20	compared	compare	VERB
ap-9725	242	21	to	to	ADP
ap-9725	242	22	their	their	PRON
ap-9725	242	23	counterparts	counterpart	NOUN
ap-9725	242	24	using	use	VERB
ap-9725	242	25	the	the	DET
ap-9725	242	26	late	late	ADJ
ap-9725	242	27	fusion	fusion	NOUN
ap-9725	242	28	technique	technique	NOUN
ap-9725	242	29	.	.	PUNCT
ap-9725	243	1	in	in	ADP
ap-9725	243	2	general	general	ADJ
ap-9725	243	3	,	,	PUNCT
ap-9725	243	4	this	this	PRON
ap-9725	243	5	means	mean	VERB
ap-9725	243	6	that	that	SCONJ
ap-9725	243	7	joining	join	VERB
ap-9725	243	8	data	datum	NOUN
ap-9725	243	9	sets	set	NOUN
ap-9725	243	10	together	together	ADV
ap-9725	243	11	before	before	ADP
ap-9725	243	12	extracting	extract	VERB
ap-9725	243	13	spatial	spatial	ADJ
ap-9725	243	14	features	feature	NOUN
ap-9725	243	15	might	might	AUX
ap-9725	243	16	make	make	VERB
ap-9725	243	17	the	the	DET
ap-9725	243	18	convolutional	convolutional	ADJ
ap-9725	243	19	block	block	NOUN
ap-9725	243	20	lose	lose	VERB
ap-9725	243	21	some	some	DET
ap-9725	243	22	temporal	temporal	ADJ
ap-9725	243	23	features	feature	NOUN
ap-9725	243	24	,	,	PUNCT
ap-9725	243	25	which	which	PRON
ap-9725	243	26	would	would	AUX
ap-9725	243	27	make	make	VERB
ap-9725	243	28	the	the	DET
ap-9725	243	29	lstm	lstm	ADJ
ap-9725	243	30	layer	layer	NOUN
ap-9725	243	31	task	task	NOUN
ap-9725	243	32	harder	hard	ADV
ap-9725	243	33	and	and	CCONJ
ap-9725	243	34	,	,	PUNCT
ap-9725	243	35	in	in	ADP
ap-9725	243	36	turn	turn	NOUN
ap-9725	243	37	,	,	PUNCT
ap-9725	243	38	make	make	VERB
ap-9725	243	39	the	the	DET
ap-9725	243	40	models	model	NOUN
ap-9725	243	41	less	less	ADV
ap-9725	243	42	effective	effective	ADJ
ap-9725	243	43	.	.	PUNCT
ap-9725	244	1	as	as	SCONJ
ap-9725	244	2	in	in	ADP
ap-9725	244	3	the	the	DET
ap-9725	244	4	late	late	ADJ
ap-9725	244	5	fusion	fusion	NOUN
ap-9725	244	6	approach	approach	NOUN
ap-9725	244	7	,	,	PUNCT
ap-9725	244	8	the	the	DET
ap-9725	244	9	mobilenet	mobilenet	NOUN
ap-9725	244	10	-	-	PUNCT
ap-9725	244	11	based	base	VERB
ap-9725	244	12	model	model	NOUN
ap-9725	244	13	was	be	AUX
ap-9725	244	14	more	more	ADV
ap-9725	244	15	efficient	efficient	ADJ
ap-9725	244	16	in	in	ADP
ap-9725	244	17	the	the	DET
ap-9725	244	18	temporal	temporal	ADJ
ap-9725	244	19	evaluation	evaluation	NOUN
ap-9725	244	20	,	,	PUNCT
ap-9725	244	21	thus	thus	ADV
ap-9725	244	22	being	be	AUX
ap-9725	244	23	the	the	DET
ap-9725	244	24	model	model	NOUN
ap-9725	244	25	with	with	ADP
ap-9725	244	26	the	the	DET
ap-9725	244	27	best	good	ADJ
ap-9725	244	28	performance	performance	NOUN
ap-9725	244	29	for	for	ADP
ap-9725	244	30	both	both	DET
ap-9725	244	31	evaluations	evaluation	NOUN
ap-9725	244	32	:	:	PUNCT
ap-9725	244	33	performance	performance	NOUN
ap-9725	244	34	(	(	PUNCT
ap-9725	244	35	evaluated	evaluate	VERB
ap-9725	244	36	by	by	ADP
ap-9725	244	37	accuracy	accuracy	NOUN
ap-9725	244	38	and	and	CCONJ
ap-9725	244	39	f1	f1	NOUN
ap-9725	244	40	-	-	PUNCT
ap-9725	244	41	score	score	NOUN
ap-9725	244	42	)	)	PUNCT
ap-9725	244	43	and	and	CCONJ
ap-9725	244	44	computational	computational	ADJ
ap-9725	244	45	performance	performance	NOUN
ap-9725	244	46	(	(	PUNCT
ap-9725	244	47	evaluated	evaluate	VERB
ap-9725	244	48	by	by	ADP
ap-9725	244	49	the	the	DET
ap-9725	244	50	training	training	NOUN
ap-9725	244	51	and	and	CCONJ
ap-9725	244	52	execution	execution	NOUN
ap-9725	244	53	times	time	NOUN
ap-9725	244	54	of	of	ADP
ap-9725	244	55	the	the	DET
ap-9725	244	56	models	model	NOUN
ap-9725	244	57	)	)	PUNCT
ap-9725	244	58	.	.	PUNCT
ap-9725	245	1	4.3	4.3	NUM
ap-9725	245	2	.	.	PUNCT
ap-9725	245	3	slow	slow	ADJ
ap-9725	245	4	fusion	fusion	NOUN
ap-9725	245	5	the	the	DET
ap-9725	245	6	slow	slow	ADJ
ap-9725	245	7	fusion	fusion	NOUN
ap-9725	245	8	technique	technique	NOUN
ap-9725	245	9	,	,	PUNCT
ap-9725	245	10	which	which	PRON
ap-9725	245	11	used	use	VERB
ap-9725	245	12	10	10	NUM
ap-9725	245	13	frames	frame	NOUN
ap-9725	245	14	of	of	ADP
ap-9725	245	15	each	each	DET
ap-9725	245	16	video	video	NOUN
ap-9725	245	17	as	as	ADP
ap-9725	245	18	input	input	NOUN
ap-9725	245	19	for	for	ADP
ap-9725	245	20	10	10	NUM
ap-9725	245	21	identical	identical	ADJ
ap-9725	245	22	convolution	convolution	NOUN
ap-9725	245	23	blocks	block	NOUN
ap-9725	245	24	,	,	PUNCT
ap-9725	245	25	formed	form	VERB
ap-9725	245	26	the	the	DET
ap-9725	245	27	basis	basis	NOUN
ap-9725	245	28	of	of	ADP
ap-9725	245	29	the	the	DET
ap-9725	245	30	final	final	ADJ
ap-9725	245	31	models	model	NOUN
ap-9725	245	32	tested	test	VERB
ap-9725	245	33	.	.	PUNCT
ap-9725	246	1	table	table	NOUN
ap-9725	246	2	5	5	NUM
ap-9725	246	3	displays	display	VERB
ap-9725	246	4	the	the	DET
ap-9725	246	5	results	result	NOUN
ap-9725	246	6	of	of	ADP
ap-9725	246	7	testing	test	VERB
ap-9725	246	8	four	four	NUM
ap-9725	246	9	different	different	ADJ
ap-9725	246	10	compositions	composition	NOUN
ap-9725	246	11	for	for	ADP
ap-9725	246	12	the	the	DET
ap-9725	246	13	convolution	convolution	NOUN
ap-9725	246	14	blocks	block	NOUN
ap-9725	246	15	based	base	VERB
ap-9725	246	16	on	on	ADP
ap-9725	246	17	the	the	DET
ap-9725	246	18	methods	method	NOUN
ap-9725	246	19	used	use	VERB
ap-9725	246	20	.	.	PUNCT
ap-9725	247	1	it	it	PRON
ap-9725	247	2	is	be	AUX
ap-9725	247	3	observed	observe	VERB
ap-9725	247	4	that	that	SCONJ
ap-9725	247	5	all	all	DET
ap-9725	247	6	models	model	NOUN
ap-9725	247	7	with	with	ADP
ap-9725	247	8	convolutional	convolutional	ADJ
ap-9725	247	9	blocks	block	NOUN
ap-9725	247	10	in	in	ADP
ap-9725	247	11	which	which	PRON
ap-9725	247	12	tl	tl	PROPN
ap-9725	247	13	was	be	AUX
ap-9725	247	14	used	use	VERB
ap-9725	247	15	obtained	obtain	VERB
ap-9725	247	16	the	the	DET
ap-9725	247	17	best	good	ADJ
ap-9725	247	18	performance	performance	NOUN
ap-9725	247	19	for	for	ADP
ap-9725	247	20	this	this	DET
ap-9725	247	21	approach	approach	NOUN
ap-9725	247	22	,	,	PUNCT
ap-9725	247	23	which	which	PRON
ap-9725	247	24	was	be	AUX
ap-9725	247	25	expected	expect	VERB
ap-9725	247	26	since	since	SCONJ
ap-9725	247	27	slow	slow	ADJ
ap-9725	247	28	fusion	fusion	NOUN
ap-9725	247	29	presents	present	VERB
ap-9725	247	30	the	the	DET
ap-9725	247	31	highest	high	ADJ
ap-9725	247	32	amount	amount	NOUN
ap-9725	247	33	of	of	ADP
ap-9725	247	34	extraction	extraction	NOUN
ap-9725	247	35	of	of	ADP
ap-9725	247	36	individual	individual	ADJ
ap-9725	247	37	spatial	spatial	ADJ
ap-9725	247	38	characteristics	characteristic	NOUN
ap-9725	247	39	for	for	ADP
ap-9725	247	40	the	the	DET
ap-9725	247	41	analysed	analyse	VERB
ap-9725	247	42	frames	frame	NOUN
ap-9725	247	43	,	,	PUNCT
ap-9725	247	44	which	which	PRON
ap-9725	247	45	contributes	contribute	VERB
ap-9725	247	46	to	to	ADP
ap-9725	247	47	the	the	DET
ap-9725	247	48	best	good	ADJ
ap-9725	247	49	performance	performance	NOUN
ap-9725	247	50	of	of	ADP
ap-9725	247	51	the	the	DET
ap-9725	247	52	lstm	lstm	ADJ
ap-9725	247	53	layer	layer	NOUN
ap-9725	247	54	in	in	ADP
ap-9725	247	55	the	the	DET
ap-9725	247	56	task	task	NOUN
ap-9725	247	57	of	of	ADP
ap-9725	247	58	extracting	extract	VERB
ap-9725	247	59	temporal	temporal	ADJ
ap-9725	247	60	characteristics	characteristic	NOUN
ap-9725	247	61	in	in	ADP
ap-9725	247	62	its	its	PRON
ap-9725	247	63	input	input	NOUN
ap-9725	247	64	data	datum	NOUN
ap-9725	247	65	from	from	ADP
ap-9725	247	66	the	the	DET
ap-9725	247	67	convolutional	convolutional	ADJ
ap-9725	247	68	blocks	block	NOUN
ap-9725	247	69	.	.	PUNCT
ap-9725	248	1	this	this	PRON
ap-9725	248	2	is	be	AUX
ap-9725	248	3	why	why	SCONJ
ap-9725	248	4	the	the	DET
ap-9725	248	5	model	model	NOUN
ap-9725	248	6	that	that	PRON
ap-9725	248	7	did	do	VERB
ap-9725	248	8	the	the	DET
ap-9725	248	9	best	good	ADJ
ap-9725	248	10	overall	overall	NOUN
ap-9725	248	11	in	in	ADP
ap-9725	248	12	the	the	DET
ap-9725	248	13	study	study	NOUN
ap-9725	248	14	used	use	VERB
ap-9725	248	15	the	the	DET
ap-9725	248	16	slow	slow	ADJ
ap-9725	248	17	fusion	fusion	NOUN
ap-9725	248	18	method	method	NOUN
ap-9725	248	19	.	.	PUNCT
ap-9725	249	1	that	that	DET
ap-9725	249	2	model	model	NOUN
ap-9725	249	3	was	be	AUX
ap-9725	249	4	the	the	DET
ap-9725	249	5	one	one	NOUN
ap-9725	249	6	with	with	ADP
ap-9725	249	7	the	the	DET
ap-9725	249	8	mobilenet	mobilenet	NOUN
ap-9725	249	9	v3	v3	PROPN
ap-9725	249	10	convolutional	convolutional	ADJ
ap-9725	249	11	block	block	NOUN
ap-9725	249	12	,	,	PUNCT
ap-9725	249	13	which	which	PRON
ap-9725	249	14	achieved	achieve	VERB
ap-9725	249	15	an	an	DET
ap-9725	249	16	accuracy	accuracy	NOUN
ap-9725	249	17	of	of	ADP
ap-9725	249	18	91.03	91.03	NUM
ap-9725	249	19	%	%	NOUN
ap-9725	249	20	and	and	CCONJ
ap-9725	249	21	f1	f1	NOUN
ap-9725	249	22	-	-	PUNCT
ap-9725	249	23	score	score	NOUN
ap-9725	249	24	of	of	ADP
ap-9725	249	25	90.90	90.90	NUM
ap-9725	249	26	%	%	NOUN
ap-9725	249	27	,	,	PUNCT
ap-9725	249	28	as	as	SCONJ
ap-9725	249	29	shown	show	VERB
ap-9725	249	30	in	in	ADP
ap-9725	249	31	figures	figure	NOUN
ap-9725	249	32	9	9	NUM
ap-9725	249	33	and	and	CCONJ
ap-9725	249	34	10	10	NUM
ap-9725	249	35	.	.	PUNCT
ap-9725	250	1	in	in	ADP
ap-9725	250	2	addition	addition	NOUN
ap-9725	250	3	,	,	PUNCT
ap-9725	250	4	the	the	DET
ap-9725	250	5	mobilenet	mobilenet	NOUN
ap-9725	250	6	-	-	PUNCT
ap-9725	250	7	based	base	VERB
ap-9725	250	8	model	model	NOUN
ap-9725	250	9	remained	remain	VERB
ap-9725	250	10	the	the	DET
ap-9725	250	11	model	model	NOUN
ap-9725	250	12	with	with	ADP
ap-9725	250	13	the	the	DET
ap-9725	250	14	shortest	short	ADJ
ap-9725	250	15	training	training	NOUN
ap-9725	250	16	and	and	CCONJ
ap-9725	250	17	execution	execution	NOUN
ap-9725	250	18	time	time	NOUN
ap-9725	250	19	,	,	PUNCT
ap-9725	250	20	as	as	SCONJ
ap-9725	250	21	it	it	PRON
ap-9725	250	22	is	be	AUX
ap-9725	250	23	a	a	DET
ap-9725	250	24	lighter	light	ADJ
ap-9725	250	25	model	model	NOUN
ap-9725	250	26	than	than	ADP
ap-9725	250	27	the	the	DET
ap-9725	250	28	others	other	NOUN
ap-9725	250	29	,	,	PUNCT
ap-9725	250	30	as	as	SCONJ
ap-9725	250	31	shown	show	VERB
ap-9725	250	32	in	in	ADP
ap-9725	250	33	figure	figure	NOUN
ap-9725	250	34	11	11	NUM
ap-9725	250	35	.	.	PUNCT
ap-9725	251	1	4.4	4.4	NUM
ap-9725	251	2	.	.	PUNCT
ap-9725	252	1	comparison	comparison	NOUN
ap-9725	252	2	with	with	ADP
ap-9725	252	3	related	related	ADJ
ap-9725	252	4	works	work	NOUN
ap-9725	252	5	in	in	ADP
ap-9725	252	6	[	[	X
ap-9725	252	7	18	18	NUM
ap-9725	252	8	]	]	PUNCT
ap-9725	252	9	,	,	PUNCT
ap-9725	252	10	the	the	DET
ap-9725	252	11	authors	author	NOUN
ap-9725	252	12	,	,	PUNCT
ap-9725	252	13	in	in	ADP
ap-9725	252	14	addition	addition	NOUN
ap-9725	252	15	to	to	ADP
ap-9725	252	16	organising	organise	VERB
ap-9725	252	17	the	the	DET
ap-9725	252	18	rlvs	rlvs	ADJ
ap-9725	252	19	database	database	NOUN
ap-9725	252	20	,	,	PUNCT
ap-9725	252	21	propose	propose	VERB
ap-9725	252	22	several	several	ADJ
ap-9725	252	23	models	model	NOUN
ap-9725	252	24	for	for	ADP
ap-9725	252	25	the	the	DET
ap-9725	252	26	task	task	NOUN
ap-9725	252	27	of	of	ADP
ap-9725	252	28	classifying	classify	VERB
ap-9725	252	29	videos	video	NOUN
ap-9725	252	30	to	to	PART
ap-9725	252	31	detect	detect	VERB
ap-9725	252	32	scenes	scene	NOUN
ap-9725	252	33	of	of	ADP
ap-9725	252	34	violence	violence	NOUN
ap-9725	252	35	.	.	PUNCT
ap-9725	253	1	a	a	DET
ap-9725	253	2	related	related	ADJ
ap-9725	253	3	work	work	NOUN
ap-9725	253	4	that	that	PRON
ap-9725	253	5	presents	present	VERB
ap-9725	253	6	a	a	DET
ap-9725	253	7	solution	solution	NOUN
ap-9725	253	8	for	for	ADP
ap-9725	253	9	the	the	DET
ap-9725	253	10	same	same	ADJ
ap-9725	253	11	task	task	NOUN
ap-9725	253	12	and	and	CCONJ
ap-9725	253	13	,	,	PUNCT
ap-9725	253	14	preferably	preferably	ADV
ap-9725	253	15	,	,	PUNCT
ap-9725	253	16	uses	use	VERB
ap-9725	253	17	the	the	DET
ap-9725	253	18	same	same	ADJ
ap-9725	253	19	database	database	NOUN
ap-9725	253	20	should	should	AUX
ap-9725	253	21	serve	serve	VERB
ap-9725	253	22	as	as	ADP
ap-9725	253	23	the	the	DET
ap-9725	253	24	most	most	ADV
ap-9725	253	25	appropriate	appropriate	ADJ
ap-9725	253	26	comparison	comparison	NOUN
ap-9725	253	27	for	for	ADP
ap-9725	253	28	the	the	DET
ap-9725	253	29	presented	present	VERB
ap-9725	253	30	work	work	NOUN
ap-9725	253	31	.	.	PUNCT
ap-9725	254	1	in	in	ADP
ap-9725	254	2	this	this	DET
ap-9725	254	3	case	case	NOUN
ap-9725	254	4	,	,	PUNCT
ap-9725	254	5	the	the	DET
ap-9725	254	6	use	use	NOUN
ap-9725	254	7	of	of	ADP
ap-9725	254	8	the	the	DET
ap-9725	254	9	same	same	ADJ
ap-9725	254	10	database	database	NOUN
ap-9725	254	11	for	for	ADP
ap-9725	254	12	the	the	DET
ap-9725	254	13	comparison	comparison	NOUN
ap-9725	254	14	of	of	ADP
ap-9725	254	15	results	result	NOUN
ap-9725	254	16	is	be	AUX
ap-9725	254	17	even	even	ADV
ap-9725	254	18	more	more	ADV
ap-9725	254	19	important	important	ADJ
ap-9725	254	20	314	314	NUM
ap-9725	254	21	vol	vol	NOUN
ap-9725	254	22	.	.	PUNCT
ap-9725	255	1	65	65	NUM
ap-9725	255	2	no	no	NOUN
ap-9725	255	3	.	.	PUNCT
ap-9725	256	1	3/2025	3/2025	NUM
ap-9725	256	2	temporal	temporal	ADJ
ap-9725	256	3	fusion	fusion	NOUN
ap-9725	256	4	strategy	strategy	NOUN
ap-9725	256	5	for	for	ADP
ap-9725	256	6	violence	violence	NOUN
ap-9725	256	7	detection	detection	NOUN
ap-9725	256	8	.	.	PUNCT
ap-9725	256	9	.	.	PUNCT
ap-9725	256	10	.	.	PUNCT
ap-9725	257	1	figure	figure	VERB
ap-9725	257	2	9	9	NUM
ap-9725	257	3	.	.	PUNCT
ap-9725	258	1	accuracy	accuracy	NOUN
ap-9725	258	2	scores	score	NOUN
ap-9725	258	3	of	of	ADP
ap-9725	258	4	vd	vd	NOUN
ap-9725	258	5	models	model	NOUN
ap-9725	258	6	for	for	ADP
ap-9725	258	7	the	the	DET
ap-9725	258	8	rlvs	rlvs	ADJ
ap-9725	258	9	dataset	dataset	NOUN
ap-9725	258	10	.	.	PUNCT
ap-9725	259	1	figure	figure	NOUN
ap-9725	259	2	10	10	NUM
ap-9725	259	3	.	.	PUNCT
ap-9725	260	1	f1	f1	NOUN
ap-9725	260	2	-	-	PUNCT
ap-9725	260	3	score	score	NOUN
ap-9725	260	4	of	of	ADP
ap-9725	260	5	vd	vd	NOUN
ap-9725	260	6	models	model	NOUN
ap-9725	260	7	for	for	ADP
ap-9725	260	8	the	the	DET
ap-9725	260	9	rlvs	rlvs	NOUN
ap-9725	260	10	dataset	dataset	NOUN
ap-9725	260	11	.	.	PUNCT
ap-9725	261	1	315	315	NUM
ap-9725	261	2	k.	k.	PROPN
ap-9725	261	3	merit	merit	PROPN
ap-9725	261	4	,	,	PUNCT
ap-9725	261	5	m.	m.	NOUN
ap-9725	261	6	beladgham	beladgham	PROPN
ap-9725	261	7	,	,	PUNCT
ap-9725	261	8	a.	a.	NOUN
ap-9725	261	9	taleb	taleb	PROPN
ap-9725	261	10	-	-	PUNCT
ap-9725	261	11	ahmed	ahmed	PROPN
ap-9725	261	12	acta	acta	PROPN
ap-9725	261	13	polytechnica	polytechnica	PROPN
ap-9725	261	14	(	(	PUNCT
ap-9725	261	15	a	a	NOUN
ap-9725	261	16	)	)	PUNCT
ap-9725	261	17	.	.	PUNCT
ap-9725	262	1	execution	execution	NOUN
ap-9725	262	2	time	time	NOUN
ap-9725	262	3	.	.	PUNCT
ap-9725	263	1	(	(	PUNCT
ap-9725	263	2	b	b	NOUN
ap-9725	263	3	)	)	PUNCT
ap-9725	263	4	.	.	PUNCT
ap-9725	264	1	training	training	NOUN
ap-9725	264	2	time	time	NOUN
ap-9725	264	3	.	.	PUNCT
ap-9725	265	1	figure	figure	VERB
ap-9725	265	2	11	11	NUM
ap-9725	265	3	.	.	PUNCT
ap-9725	266	1	computational	computational	ADJ
ap-9725	266	2	time	time	NOUN
ap-9725	266	3	performance	performance	NOUN
ap-9725	266	4	analysis	analysis	NOUN
ap-9725	266	5	for	for	ADP
ap-9725	266	6	each	each	DET
ap-9725	266	7	model	model	NOUN
ap-9725	266	8	.	.	PUNCT
ap-9725	267	1	316	316	NUM
ap-9725	267	2	vol	vol	NOUN
ap-9725	267	3	.	.	PUNCT
ap-9725	268	1	65	65	NUM
ap-9725	268	2	no	no	NOUN
ap-9725	268	3	.	.	PUNCT
ap-9725	269	1	3/2025	3/2025	NUM
ap-9725	269	2	temporal	temporal	ADJ
ap-9725	269	3	fusion	fusion	NOUN
ap-9725	269	4	strategy	strategy	NOUN
ap-9725	269	5	for	for	ADP
ap-9725	269	6	violence	violence	NOUN
ap-9725	269	7	detection	detection	NOUN
ap-9725	269	8	.	.	PUNCT
ap-9725	269	9	.	.	PUNCT
ap-9725	269	10	.	.	PUNCT
ap-9725	270	1	models	model	NOUN
ap-9725	270	2	accuracy	accuracy	NOUN
ap-9725	270	3	vgg16	vgg16	NOUN
ap-9725	270	4	-	-	PUNCT
ap-9725	270	5	lstm	lstm	NOUN
ap-9725	270	6	[	[	X
ap-9725	270	7	18	18	NUM
ap-9725	270	8	]	]	SYM
ap-9725	270	9	88.20	88.20	NUM
ap-9725	270	10	%	%	NOUN
ap-9725	270	11	late	late	ADJ
ap-9725	270	12	fusion	fusion	NOUN
ap-9725	270	13	–	–	PUNCT
ap-9725	270	14	mobilenet	mobilenet	NOUN
ap-9725	270	15	v3	v3	PROPN
ap-9725	270	16	-	-	PUNCT
ap-9725	270	17	lstm	lstm	PROPN
ap-9725	270	18	(	(	PUNCT
ap-9725	270	19	our	our	PRON
ap-9725	270	20	)	)	PUNCT
ap-9725	270	21	88.80	88.80	NUM
ap-9725	270	22	%	%	NOUN
ap-9725	270	23	slow	slow	ADJ
ap-9725	270	24	fusion	fusion	NOUN
ap-9725	270	25	–	–	PUNCT
ap-9725	270	26	mobilenet	mobilenet	NOUN
ap-9725	270	27	v3	v3	PROPN
ap-9725	270	28	-	-	PUNCT
ap-9725	270	29	lstm	lstm	PROPN
ap-9725	270	30	(	(	PUNCT
ap-9725	270	31	our	our	PRON
ap-9725	270	32	)	)	PUNCT
ap-9725	270	33	*	*	SYM
ap-9725	270	34	91.03	91.03	NUM
ap-9725	270	35	%	%	NOUN
ap-9725	270	36	table	table	NOUN
ap-9725	270	37	6	6	NUM
ap-9725	270	38	.	.	PUNCT
ap-9725	271	1	comparison	comparison	NOUN
ap-9725	271	2	of	of	ADP
ap-9725	271	3	the	the	DET
ap-9725	271	4	results	result	NOUN
ap-9725	271	5	obtained	obtain	VERB
ap-9725	271	6	with	with	ADP
ap-9725	271	7	those	those	PRON
ap-9725	271	8	found	find	VERB
ap-9725	271	9	in	in	ADP
ap-9725	271	10	[	[	X
ap-9725	271	11	18	18	NUM
ap-9725	271	12	]	]	PUNCT
ap-9725	271	13	.	.	PUNCT
ap-9725	272	1	methods	method	NOUN
ap-9725	272	2	year	year	VERB
ap-9725	272	3	deep	deep	ADJ
ap-9725	272	4	learning	learning	NOUN
ap-9725	272	5	features	feature	VERB
ap-9725	272	6	dataset	dataset	NOUN
ap-9725	272	7	accuracy	accuracy	NOUN
ap-9725	272	8	soliman	soliman	NOUN
ap-9725	272	9	et	et	PROPN
ap-9725	272	10	al	al	PROPN
ap-9725	272	11	.	.	PUNCT
ap-9725	273	1	[	[	X
ap-9725	273	2	18	18	NUM
ap-9725	273	3	]	]	SYM
ap-9725	273	4	2019	2019	NUM
ap-9725	273	5	vgg16	vgg16	NOUN
ap-9725	273	6	-	-	PUNCT
ap-9725	273	7	lstm	lstm	NOUN
ap-9725	273	8	rlvs	rlvs	NOUN
ap-9725	273	9	88.20	88.20	NUM
ap-9725	273	10	%	%	NOUN
ap-9725	273	11	traor’e	traor’e	VERB
ap-9725	273	12	and	and	CCONJ
ap-9725	273	13	akhloufi	akhloufi	ADJ
ap-9725	273	14	[	[	X
ap-9725	273	15	21	21	NUM
ap-9725	273	16	]	]	SYM
ap-9725	273	17	2020	2020	NUM
ap-9725	273	18	2d	2d	NUM
ap-9725	273	19	cnn	cnn	PROPN
ap-9725	273	20	-	-	PUNCT
ap-9725	273	21	bigru	bigru	PROPN
ap-9725	273	22	rlvs	rlv	VERB
ap-9725	273	23	90.25	90.25	NUM
ap-9725	273	24	%	%	NOUN
ap-9725	273	25	bertasius	bertasius	NOUN
ap-9725	273	26	et	et	PROPN
ap-9725	273	27	al	al	PROPN
ap-9725	273	28	.	.	PUNCT
ap-9725	274	1	[	[	X
ap-9725	274	2	22	22	NUM
ap-9725	274	3	]	]	SYM
ap-9725	274	4	2021	2021	NUM
ap-9725	274	5	timesformer	timesformer	NOUN
ap-9725	274	6	rlvs	rlvs	NOUN
ap-9725	274	7	79.00	79.00	NUM
ap-9725	274	8	%	%	NOUN
ap-9725	274	9	aldahoul	aldahoul	PROPN
ap-9725	274	10	et	et	PROPN
ap-9725	274	11	al	al	PROPN
ap-9725	274	12	.	.	PUNCT
ap-9725	275	1	[	[	X
ap-9725	275	2	23	23	NUM
ap-9725	275	3	]	]	SYM
ap-9725	275	4	2021	2021	NUM
ap-9725	275	5	cnn	cnn	PROPN
ap-9725	275	6	-	-	PUNCT
ap-9725	275	7	lstm	lstm	ADJ
ap-9725	275	8	-	-	PUNCT
ap-9725	275	9	iot	iot	NOUN
ap-9725	275	10	rlvs	rlvs	NOUN
ap-9725	275	11	73.35	73.35	NUM
ap-9725	275	12	%	%	NOUN
ap-9725	275	13	romas	romas	PROPN
ap-9725	275	14	et	et	PROPN
ap-9725	275	15	al	al	PROPN
ap-9725	275	16	.	.	PUNCT
ap-9725	276	1	[	[	X
ap-9725	276	2	24	24	NUM
ap-9725	276	3	]	]	SYM
ap-9725	276	4	2022	2022	NUM
ap-9725	276	5	u	u	NOUN
ap-9725	276	6	-	-	NOUN
ap-9725	276	7	net	net	ADJ
ap-9725	276	8	–	–	PUNCT
ap-9725	276	9	mobilenet	mobilenet	NOUN
ap-9725	276	10	v2	v2	NOUN
ap-9725	276	11	–	–	PUNCT
ap-9725	276	12	lstm	lstm	NOUN
ap-9725	276	13	rlvs	rlv	VERB
ap-9725	276	14	82.03	82.03	NUM
ap-9725	276	15	%	%	NOUN
ap-9725	276	16	proposed	propose	VERB
ap-9725	276	17	method	method	NOUN
ap-9725	276	18	2024	2024	NUM
ap-9725	276	19	slow	slow	ADJ
ap-9725	276	20	fusion	fusion	NOUN
ap-9725	276	21	–	–	PUNCT
ap-9725	276	22	mobilenet	mobilenet	NOUN
ap-9725	276	23	v3	v3	PROPN
ap-9725	276	24	–	–	PUNCT
ap-9725	276	25	lstm	lstm	NOUN
ap-9725	276	26	rlvs	rlv	VERB
ap-9725	276	27	91.03	91.03	NUM
ap-9725	276	28	%	%	NOUN
ap-9725	276	29	table	table	NOUN
ap-9725	276	30	7	7	NUM
ap-9725	276	31	.	.	PUNCT
ap-9725	277	1	the	the	DET
ap-9725	277	2	accuracy	accuracy	NOUN
ap-9725	277	3	score	score	NOUN
ap-9725	277	4	of	of	ADP
ap-9725	277	5	our	our	PRON
ap-9725	277	6	proposed	propose	VERB
ap-9725	277	7	model	model	NOUN
ap-9725	277	8	along	along	ADP
ap-9725	277	9	with	with	ADP
ap-9725	277	10	the	the	DET
ap-9725	277	11	state	state	NOUN
ap-9725	277	12	-	-	PUNCT
ap-9725	277	13	of	of	ADP
ap-9725	277	14	-	-	PUNCT
ap-9725	277	15	the	the	DET
ap-9725	277	16	-	-	PUNCT
ap-9725	277	17	art	art	NOUN
ap-9725	277	18	methods	method	NOUN
ap-9725	277	19	for	for	ADP
ap-9725	277	20	rlvs	rlvs	ADJ
ap-9725	277	21	datasets	dataset	NOUN
ap-9725	277	22	.	.	PUNCT
ap-9725	278	1	because	because	SCONJ
ap-9725	278	2	the	the	DET
ap-9725	278	3	main	main	ADJ
ap-9725	278	4	databases	database	NOUN
ap-9725	278	5	used	use	VERB
ap-9725	278	6	in	in	ADP
ap-9725	278	7	other	other	ADJ
ap-9725	278	8	articles	article	NOUN
ap-9725	278	9	,	,	PUNCT
ap-9725	278	10	including	include	VERB
ap-9725	278	11	references	reference	NOUN
ap-9725	278	12	cited	cite	VERB
ap-9725	278	13	in	in	ADP
ap-9725	278	14	section	section	NOUN
ap-9725	278	15	2	2	NUM
ap-9725	278	16	,	,	PUNCT
ap-9725	278	17	are	be	AUX
ap-9725	278	18	studies	study	NOUN
ap-9725	278	19	referring	refer	VERB
ap-9725	278	20	to	to	ADP
ap-9725	278	21	a	a	DET
ap-9725	278	22	considerably	considerably	ADV
ap-9725	278	23	smaller	small	ADJ
ap-9725	278	24	database	database	NOUN
ap-9725	278	25	,	,	PUNCT
ap-9725	278	26	such	such	ADJ
ap-9725	278	27	as	as	ADP
ap-9725	278	28	the	the	DET
ap-9725	278	29	hockey	hockey	NOUN
ap-9725	278	30	dataset	dataset	VERB
ap-9725	278	31	[	[	X
ap-9725	278	32	16	16	NUM
ap-9725	278	33	]	]	PUNCT
ap-9725	278	34	with	with	ADP
ap-9725	278	35	1000	1000	NUM
ap-9725	278	36	images	image	NOUN
ap-9725	278	37	;	;	PUNCT
ap-9725	278	38	action	action	NOUN
ap-9725	278	39	movie	movie	NOUN
ap-9725	278	40	dataset	dataset	VERB
ap-9725	278	41	[	[	X
ap-9725	278	42	16	16	NUM
ap-9725	278	43	]	]	PUNCT
ap-9725	278	44	with	with	ADP
ap-9725	278	45	200	200	NUM
ap-9725	278	46	images	image	NOUN
ap-9725	278	47	;	;	PUNCT
ap-9725	278	48	and	and	CCONJ
ap-9725	278	49	violent	violent	ADJ
ap-9725	278	50	-	-	PUNCT
ap-9725	278	51	flow	flow	NOUN
ap-9725	278	52	dataset	dataset	NOUN
ap-9725	279	1	[	[	X
ap-9725	279	2	17	17	NUM
ap-9725	279	3	]	]	PUNCT
ap-9725	279	4	with	with	ADP
ap-9725	279	5	246	246	NUM
ap-9725	279	6	images	image	NOUN
ap-9725	279	7	.	.	PUNCT
ap-9725	280	1	the	the	DET
ap-9725	280	2	use	use	NOUN
ap-9725	280	3	of	of	ADP
ap-9725	280	4	these	these	DET
ap-9725	280	5	small	small	ADJ
ap-9725	280	6	databases	database	NOUN
ap-9725	280	7	,	,	PUNCT
ap-9725	280	8	or	or	CCONJ
ap-9725	280	9	with	with	ADP
ap-9725	280	10	relatively	relatively	ADV
ap-9725	280	11	similar	similar	ADJ
ap-9725	280	12	images	image	NOUN
ap-9725	280	13	(	(	PUNCT
ap-9725	280	14	as	as	ADP
ap-9725	280	15	in	in	ADP
ap-9725	280	16	the	the	DET
ap-9725	280	17	case	case	NOUN
ap-9725	280	18	of	of	ADP
ap-9725	280	19	the	the	DET
ap-9725	280	20	hockey	hockey	NOUN
ap-9725	280	21	fight	fight	NOUN
ap-9725	280	22	dataset	dataset	NOUN
ap-9725	280	23	)	)	PUNCT
ap-9725	280	24	,	,	PUNCT
ap-9725	280	25	can	can	AUX
ap-9725	280	26	imply	imply	VERB
ap-9725	280	27	biased	biased	ADJ
ap-9725	280	28	results	result	NOUN
ap-9725	280	29	.	.	PUNCT
ap-9725	281	1	conversely	conversely	ADV
ap-9725	281	2	,	,	PUNCT
ap-9725	281	3	[	[	X
ap-9725	281	4	18	18	NUM
ap-9725	281	5	]	]	PUNCT
ap-9725	281	6	proposes	propose	VERB
ap-9725	281	7	an	an	DET
ap-9725	281	8	rlvs	rlvs	ADJ
ap-9725	281	9	base	base	NOUN
ap-9725	281	10	that	that	PRON
ap-9725	281	11	incorporates	incorporate	VERB
ap-9725	281	12	images	image	NOUN
ap-9725	281	13	from	from	ADP
ap-9725	281	14	these	these	DET
ap-9725	281	15	bases	basis	NOUN
ap-9725	281	16	along	along	ADP
ap-9725	281	17	with	with	ADP
ap-9725	281	18	new	new	ADJ
ap-9725	281	19	examples	example	NOUN
ap-9725	281	20	.	.	PUNCT
ap-9725	282	1	thus	thus	ADV
ap-9725	282	2	,	,	PUNCT
ap-9725	282	3	the	the	DET
ap-9725	282	4	most	most	ADV
ap-9725	282	5	appropriate	appropriate	ADJ
ap-9725	282	6	rlvs	rlvs	ADJ
ap-9725	282	7	base	base	NOUN
ap-9725	282	8	is	be	AUX
ap-9725	282	9	considered	consider	VERB
ap-9725	282	10	a	a	DET
ap-9725	282	11	benchmark	benchmark	NOUN
ap-9725	282	12	for	for	ADP
ap-9725	282	13	the	the	DET
ap-9725	282	14	task	task	NOUN
ap-9725	282	15	in	in	ADP
ap-9725	282	16	question	question	NOUN
ap-9725	282	17	.	.	PUNCT
ap-9725	283	1	therefore	therefore	ADV
ap-9725	283	2	,	,	PUNCT
ap-9725	283	3	table	table	NOUN
ap-9725	283	4	6	6	NUM
ap-9725	283	5	presents	present	VERB
ap-9725	283	6	the	the	DET
ap-9725	283	7	best	good	ADJ
ap-9725	283	8	results	result	NOUN
ap-9725	283	9	of	of	ADP
ap-9725	283	10	[	[	X
ap-9725	283	11	18	18	NUM
ap-9725	283	12	]	]	PUNCT
ap-9725	283	13	and	and	CCONJ
ap-9725	283	14	this	this	DET
ap-9725	283	15	work	work	NOUN
ap-9725	283	16	,	,	PUNCT
ap-9725	283	17	which	which	PRON
ap-9725	283	18	proposes	propose	VERB
ap-9725	283	19	models	model	NOUN
ap-9725	283	20	based	base	VERB
ap-9725	283	21	on	on	ADP
ap-9725	283	22	deep	deep	ADJ
ap-9725	283	23	learning	learning	NOUN
ap-9725	283	24	for	for	ADP
ap-9725	283	25	the	the	DET
ap-9725	283	26	task	task	NOUN
ap-9725	283	27	in	in	ADP
ap-9725	283	28	question	question	NOUN
ap-9725	283	29	.	.	PUNCT
ap-9725	284	1	the	the	DET
ap-9725	284	2	model	model	NOUN
ap-9725	284	3	that	that	PRON
ap-9725	284	4	represents	represent	VERB
ap-9725	284	5	this	this	DET
ap-9725	284	6	work	work	NOUN
ap-9725	284	7	is	be	AUX
ap-9725	284	8	based	base	VERB
ap-9725	284	9	on	on	ADP
ap-9725	284	10	the	the	DET
ap-9725	284	11	slow	slow	ADJ
ap-9725	284	12	fusion	fusion	NOUN
ap-9725	284	13	approach	approach	NOUN
ap-9725	284	14	with	with	ADP
ap-9725	284	15	mobilenet	mobilenet	NOUN
ap-9725	284	16	v3	v3	PROPN
ap-9725	284	17	convolutional	convolutional	ADJ
ap-9725	284	18	blocks	block	NOUN
ap-9725	284	19	,	,	PUNCT
ap-9725	284	20	as	as	SCONJ
ap-9725	284	21	it	it	PRON
ap-9725	284	22	presented	present	VERB
ap-9725	284	23	the	the	DET
ap-9725	284	24	best	good	ADJ
ap-9725	284	25	results	result	NOUN
ap-9725	284	26	regarding	regard	VERB
ap-9725	284	27	the	the	DET
ap-9725	284	28	analysed	analyse	VERB
ap-9725	284	29	metrics	metric	NOUN
ap-9725	284	30	.	.	PUNCT
ap-9725	285	1	the	the	DET
ap-9725	285	2	model	model	NOUN
ap-9725	285	3	with	with	ADP
ap-9725	285	4	better	well	ADJ
ap-9725	285	5	metrics	metric	NOUN
ap-9725	285	6	presented	present	VERB
ap-9725	285	7	in	in	ADP
ap-9725	285	8	[	[	X
ap-9725	285	9	18	18	NUM
ap-9725	285	10	]	]	PUNCT
ap-9725	285	11	,	,	PUNCT
ap-9725	285	12	in	in	ADP
ap-9725	285	13	turn	turn	NOUN
ap-9725	285	14	,	,	PUNCT
ap-9725	285	15	for	for	SCONJ
ap-9725	285	16	the	the	DET
ap-9725	285	17	rlvs	rlvs	ADJ
ap-9725	285	18	database	database	NOUN
ap-9725	285	19	was	be	AUX
ap-9725	285	20	based	base	VERB
ap-9725	285	21	on	on	ADP
ap-9725	285	22	the	the	DET
ap-9725	285	23	vgg16	vgg16	NOUN
ap-9725	285	24	architecture	architecture	NOUN
ap-9725	285	25	using	use	VERB
ap-9725	285	26	fine	fine	ADV
ap-9725	285	27	-	-	PUNCT
ap-9725	285	28	tuning	tune	VERB
ap-9725	285	29	techniques	technique	NOUN
ap-9725	285	30	followed	follow	VERB
ap-9725	285	31	by	by	ADP
ap-9725	285	32	lstm	lstm	ADJ
ap-9725	285	33	layers	layer	NOUN
ap-9725	285	34	.	.	PUNCT
ap-9725	286	1	table	table	NOUN
ap-9725	286	2	7	7	NUM
ap-9725	286	3	shows	show	VERB
ap-9725	286	4	the	the	DET
ap-9725	286	5	accuracy	accuracy	NOUN
ap-9725	286	6	-	-	PUNCT
ap-9725	286	7	based	base	VERB
ap-9725	286	8	performance	performance	NOUN
ap-9725	286	9	increase	increase	NOUN
ap-9725	286	10	between	between	ADP
ap-9725	286	11	the	the	DET
ap-9725	286	12	state	state	NOUN
ap-9725	286	13	-	-	PUNCT
ap-9725	286	14	of	of	ADP
ap-9725	286	15	-	-	PUNCT
ap-9725	286	16	the	the	DET
ap-9725	286	17	-	-	PUNCT
ap-9725	286	18	art	art	NOUN
ap-9725	286	19	works	work	NOUN
ap-9725	286	20	for	for	ADP
ap-9725	286	21	the	the	DET
ap-9725	286	22	task	task	NOUN
ap-9725	286	23	in	in	ADP
ap-9725	286	24	question	question	NOUN
ap-9725	286	25	and	and	CCONJ
ap-9725	286	26	the	the	DET
ap-9725	286	27	proposed	propose	VERB
ap-9725	286	28	model	model	NOUN
ap-9725	286	29	in	in	ADP
ap-9725	286	30	this	this	DET
ap-9725	286	31	work	work	NOUN
ap-9725	286	32	.	.	PUNCT
ap-9725	287	1	the	the	DET
ap-9725	287	2	proposed	propose	VERB
ap-9725	287	3	model	model	NOUN
ap-9725	287	4	outperformed	outperform	VERB
ap-9725	287	5	previous	previous	ADJ
ap-9725	287	6	works	work	NOUN
ap-9725	287	7	in	in	ADP
ap-9725	287	8	the	the	DET
ap-9725	287	9	same	same	ADJ
ap-9725	287	10	field	field	NOUN
ap-9725	287	11	,	,	PUNCT
ap-9725	287	12	demonstrating	demonstrate	VERB
ap-9725	287	13	its	its	PRON
ap-9725	287	14	superior	superior	ADJ
ap-9725	287	15	performance	performance	NOUN
ap-9725	287	16	.	.	PUNCT
ap-9725	288	1	this	this	PRON
ap-9725	288	2	proves	prove	VERB
ap-9725	288	3	that	that	SCONJ
ap-9725	288	4	temporal	temporal	ADJ
ap-9725	288	5	fusion	fusion	NOUN
ap-9725	288	6	methods	method	NOUN
ap-9725	288	7	,	,	PUNCT
ap-9725	288	8	especially	especially	ADV
ap-9725	288	9	slow	slow	ADJ
ap-9725	288	10	fusion	fusion	NOUN
ap-9725	288	11	,	,	PUNCT
ap-9725	288	12	work	work	NOUN
ap-9725	288	13	for	for	ADP
ap-9725	288	14	tasks	task	NOUN
ap-9725	288	15	such	such	ADJ
ap-9725	288	16	as	as	ADP
ap-9725	288	17	data	data	NOUN
ap-9725	288	18	representation	representation	NOUN
ap-9725	288	19	techniques	technique	NOUN
ap-9725	288	20	for	for	ADP
ap-9725	288	21	video	video	NOUN
ap-9725	288	22	analysis	analysis	NOUN
ap-9725	288	23	,	,	PUNCT
ap-9725	288	24	as	as	SCONJ
ap-9725	288	25	they	they	PRON
ap-9725	288	26	make	make	VERB
ap-9725	288	27	the	the	DET
ap-9725	288	28	results	result	NOUN
ap-9725	288	29	of	of	ADP
ap-9725	288	30	the	the	DET
ap-9725	288	31	models	model	NOUN
ap-9725	288	32	shown	show	VERB
ap-9725	288	33	for	for	ADP
ap-9725	288	34	the	the	DET
ap-9725	288	35	short	short	ADJ
ap-9725	288	36	video	video	NOUN
ap-9725	288	37	violence	violence	NOUN
ap-9725	288	38	detection	detection	NOUN
ap-9725	288	39	task	task	NOUN
ap-9725	288	40	more	more	ADV
ap-9725	288	41	competitive	competitive	ADJ
ap-9725	288	42	.	.	PUNCT
ap-9725	289	1	many	many	ADJ
ap-9725	289	2	related	related	ADJ
ap-9725	289	3	works	work	NOUN
ap-9725	289	4	,	,	PUNCT
ap-9725	289	5	such	such	ADJ
ap-9725	289	6	as	as	ADP
ap-9725	289	7	[	[	X
ap-9725	289	8	8–10	8–10	NOUN
ap-9725	289	9	,	,	PUNCT
ap-9725	289	10	13	13	NUM
ap-9725	289	11	]	]	PUNCT
ap-9725	289	12	,	,	PUNCT
ap-9725	289	13	present	present	ADJ
ap-9725	289	14	solutions	solution	NOUN
ap-9725	289	15	for	for	ADP
ap-9725	289	16	the	the	DET
ap-9725	289	17	same	same	ADJ
ap-9725	289	18	task	task	NOUN
ap-9725	289	19	as	as	ADP
ap-9725	289	20	this	this	DET
ap-9725	289	21	work	work	NOUN
ap-9725	289	22	with	with	ADP
ap-9725	289	23	performance	performance	NOUN
ap-9725	289	24	close	close	ADV
ap-9725	289	25	to	to	PART
ap-9725	289	26	100	100	NUM
ap-9725	289	27	%	%	NOUN
ap-9725	289	28	;	;	PUNCT
ap-9725	289	29	however	however	ADV
ap-9725	289	30	,	,	PUNCT
ap-9725	289	31	using	use	VERB
ap-9725	289	32	the	the	DET
ap-9725	289	33	action	action	NOUN
ap-9725	289	34	movies	movie	NOUN
ap-9725	289	35	database	database	NOUN
ap-9725	289	36	[	[	X
ap-9725	289	37	16	16	NUM
ap-9725	289	38	]	]	PUNCT
ap-9725	289	39	,	,	PUNCT
ap-9725	289	40	which	which	PRON
ap-9725	289	41	presents	present	VERB
ap-9725	289	42	movie	movie	NOUN
ap-9725	289	43	scenes	scene	NOUN
ap-9725	289	44	,	,	PUNCT
ap-9725	289	45	also	also	ADV
ap-9725	289	46	divided	divide	VERB
ap-9725	289	47	into	into	ADP
ap-9725	289	48	two	two	NUM
ap-9725	289	49	classes	class	NOUN
ap-9725	289	50	(	(	PUNCT
ap-9725	289	51	“	"	PUNCT
ap-9725	289	52	non	non	ADJ
ap-9725	289	53	-	-	NOUN
ap-9725	289	54	violence	violence	NOUN
ap-9725	289	55	”	"	PUNCT
ap-9725	289	56	and	and	CCONJ
ap-9725	289	57	“	"	PUNCT
ap-9725	289	58	violence	violence	NOUN
ap-9725	289	59	”	"	PUNCT
ap-9725	289	60	behaviors	behavior	NOUN
ap-9725	289	61	)	)	PUNCT
ap-9725	289	62	,	,	PUNCT
ap-9725	289	63	there	there	PRON
ap-9725	289	64	are	be	VERB
ap-9725	289	65	only	only	ADV
ap-9725	289	66	100	100	NUM
ap-9725	289	67	examples	example	NOUN
ap-9725	289	68	for	for	ADP
ap-9725	289	69	each	each	DET
ap-9725	289	70	class	class	NOUN
ap-9725	289	71	.	.	PUNCT
ap-9725	290	1	this	this	DET
ap-9725	290	2	lack	lack	NOUN
ap-9725	290	3	of	of	ADP
ap-9725	290	4	data	datum	NOUN
ap-9725	290	5	generates	generate	VERB
ap-9725	290	6	difficulty	difficulty	NOUN
ap-9725	290	7	in	in	ADP
ap-9725	290	8	generalising	generalise	VERB
ap-9725	290	9	the	the	DET
ap-9725	290	10	models	model	NOUN
ap-9725	290	11	,	,	PUNCT
ap-9725	290	12	as	as	SCONJ
ap-9725	290	13	can	can	AUX
ap-9725	290	14	be	be	AUX
ap-9725	290	15	seen	see	VERB
ap-9725	290	16	in	in	ADP
ap-9725	290	17	[	[	X
ap-9725	290	18	18	18	NUM
ap-9725	290	19	]	]	PUNCT
ap-9725	290	20	when	when	SCONJ
ap-9725	290	21	training	training	NOUN
ap-9725	290	22	and	and	CCONJ
ap-9725	290	23	validating	validate	VERB
ap-9725	290	24	a	a	DET
ap-9725	290	25	model	model	NOUN
ap-9725	290	26	from	from	ADP
ap-9725	290	27	the	the	DET
ap-9725	290	28	action	action	NOUN
ap-9725	290	29	movies	movie	NOUN
ap-9725	290	30	dataset	dataset	VERB
ap-9725	290	31	base	base	NOUN
ap-9725	290	32	and	and	CCONJ
ap-9725	290	33	then	then	ADV
ap-9725	290	34	validating	validate	VERB
ap-9725	290	35	with	with	ADP
ap-9725	290	36	the	the	DET
ap-9725	290	37	rlvs	rlvs	ADJ
ap-9725	290	38	base	base	NOUN
ap-9725	290	39	.	.	PUNCT
ap-9725	291	1	the	the	DET
ap-9725	291	2	action	action	NOUN
ap-9725	291	3	movies	movie	NOUN
ap-9725	291	4	dataset	dataset	VERB
ap-9725	291	5	validation	validation	NOUN
ap-9725	291	6	yielded	yield	VERB
ap-9725	291	7	an	an	DET
ap-9725	291	8	accuracy	accuracy	NOUN
ap-9725	291	9	of	of	ADP
ap-9725	291	10	approximately	approximately	ADV
ap-9725	291	11	0.99	0.99	NUM
ap-9725	291	12	,	,	PUNCT
ap-9725	291	13	whereas	whereas	SCONJ
ap-9725	291	14	the	the	DET
ap-9725	291	15	rlvs	rlvs	ADJ
ap-9725	291	16	base	base	NOUN
ap-9725	291	17	validation	validation	NOUN
ap-9725	291	18	yielded	yield	VERB
ap-9725	291	19	an	an	DET
ap-9725	291	20	accuracy	accuracy	NOUN
ap-9725	291	21	of	of	ADP
ap-9725	291	22	0.75	0.75	NUM
ap-9725	291	23	.	.	PUNCT
ap-9725	292	1	therefore	therefore	ADV
ap-9725	292	2	,	,	PUNCT
ap-9725	292	3	we	we	PRON
ap-9725	292	4	chose	choose	VERB
ap-9725	292	5	the	the	DET
ap-9725	292	6	rlvs	rlvs	ADJ
ap-9725	292	7	database	database	NOUN
ap-9725	292	8	to	to	PART
ap-9725	292	9	conduct	conduct	VERB
ap-9725	292	10	the	the	DET
ap-9725	292	11	presented	present	VERB
ap-9725	292	12	experiments	experiment	NOUN
ap-9725	292	13	because	because	SCONJ
ap-9725	292	14	it	it	PRON
ap-9725	292	15	contains	contain	VERB
ap-9725	292	16	examples	example	NOUN
ap-9725	292	17	from	from	ADP
ap-9725	292	18	the	the	DET
ap-9725	292	19	action	action	NOUN
ap-9725	292	20	movies	movie	NOUN
ap-9725	292	21	dataset	dataset	VERB
ap-9725	292	22	,	,	PUNCT
ap-9725	292	23	making	make	VERB
ap-9725	292	24	it	it	PRON
ap-9725	292	25	more	more	ADV
ap-9725	292	26	suitable	suitable	ADJ
ap-9725	292	27	for	for	ADP
ap-9725	292	28	carrying	carry	VERB
ap-9725	292	29	out	out	ADP
ap-9725	292	30	the	the	DET
ap-9725	292	31	task	task	NOUN
ap-9725	292	32	.	.	PUNCT
ap-9725	293	1	after	after	ADP
ap-9725	293	2	evaluating	evaluate	VERB
ap-9725	293	3	the	the	DET
ap-9725	293	4	proposed	propose	VERB
ap-9725	293	5	approach	approach	NOUN
ap-9725	293	6	,	,	PUNCT
ap-9725	293	7	we	we	PRON
ap-9725	293	8	proceeded	proceed	VERB
ap-9725	293	9	to	to	PART
ap-9725	293	10	develop	develop	VERB
ap-9725	293	11	an	an	DET
ap-9725	293	12	application	application	NOUN
ap-9725	293	13	with	with	ADP
ap-9725	293	14	the	the	DET
ap-9725	293	15	capability	capability	NOUN
ap-9725	293	16	to	to	PART
ap-9725	293	17	identify	identify	VERB
ap-9725	293	18	instances	instance	NOUN
ap-9725	293	19	of	of	ADP
ap-9725	293	20	violent	violent	ADJ
ap-9725	293	21	behaviour	behaviour	NOUN
ap-9725	293	22	in	in	ADP
ap-9725	293	23	videos	video	NOUN
ap-9725	293	24	.	.	PUNCT
ap-9725	294	1	initially	initially	ADV
ap-9725	294	2	,	,	PUNCT
ap-9725	294	3	the	the	DET
ap-9725	294	4	user	user	NOUN
ap-9725	294	5	chooses	choose	VERB
ap-9725	294	6	the	the	DET
ap-9725	294	7	specific	specific	ADJ
ap-9725	294	8	video	video	NOUN
ap-9725	294	9	to	to	PART
ap-9725	294	10	identify	identify	VERB
ap-9725	294	11	the	the	DET
ap-9725	294	12	violent	violent	ADJ
ap-9725	294	13	behavior	behavior	NOUN
ap-9725	294	14	.	.	PUNCT
ap-9725	295	1	the	the	DET
ap-9725	295	2	video	video	NOUN
ap-9725	295	3	processing	processing	NOUN
ap-9725	295	4	program	program	NOUN
ap-9725	295	5	divides	divide	VERB
ap-9725	295	6	the	the	DET
ap-9725	295	7	video	video	NOUN
ap-9725	295	8	into	into	ADP
ap-9725	295	9	individual	individual	ADJ
ap-9725	295	10	frames	frame	NOUN
ap-9725	295	11	and	and	CCONJ
ap-9725	295	12	evaluates	evaluate	VERB
ap-9725	295	13	each	each	DET
ap-9725	295	14	frame	frame	NOUN
ap-9725	295	15	to	to	PART
ap-9725	295	16	determine	determine	VERB
ap-9725	295	17	if	if	SCONJ
ap-9725	295	18	it	it	PRON
ap-9725	295	19	depicts	depict	VERB
ap-9725	295	20	violent	violent	ADJ
ap-9725	295	21	actions	action	NOUN
ap-9725	295	22	.	.	PUNCT
ap-9725	296	1	we	we	PRON
ap-9725	296	2	present	present	VERB
ap-9725	296	3	the	the	DET
ap-9725	296	4	results	result	NOUN
ap-9725	296	5	in	in	ADP
ap-9725	296	6	a	a	DET
ap-9725	296	7	video	video	NOUN
ap-9725	296	8	format	format	NOUN
ap-9725	296	9	to	to	PART
ap-9725	296	10	facilitate	facilitate	VERB
ap-9725	296	11	user	user	NOUN
ap-9725	296	12	observation	observation	NOUN
ap-9725	296	13	.	.	PUNCT
ap-9725	297	1	figure	figure	NOUN
ap-9725	297	2	12	12	NUM
ap-9725	297	3	,	,	PUNCT
ap-9725	297	4	highlighted	highlight	VERB
ap-9725	297	5	in	in	ADP
ap-9725	297	6	red	red	PROPN
ap-9725	297	7	,	,	PUNCT
ap-9725	297	8	shows	show	VERB
ap-9725	297	9	the	the	DET
ap-9725	297	10	detection	detection	NOUN
ap-9725	297	11	of	of	ADP
ap-9725	297	12	a	a	DET
ap-9725	297	13	violent	violent	ADJ
ap-9725	297	14	behaviour	behaviour	NOUN
ap-9725	297	15	,	,	PUNCT
ap-9725	297	16	whereas	whereas	SCONJ
ap-9725	297	17	figure	figure	NOUN
ap-9725	297	18	13	13	NUM
ap-9725	297	19	,	,	PUNCT
ap-9725	297	20	highlighted	highlight	VERB
ap-9725	297	21	in	in	ADP
ap-9725	297	22	green	green	NOUN
ap-9725	297	23	,	,	PUNCT
ap-9725	297	24	shows	show	VERB
ap-9725	297	25	no	no	DET
ap-9725	297	26	violent	violent	ADJ
ap-9725	297	27	behaviour	behaviour	NOUN
ap-9725	297	28	observed	observe	VERB
ap-9725	297	29	.	.	PUNCT
ap-9725	298	1	based	base	VERB
ap-9725	298	2	on	on	ADP
ap-9725	298	3	empirical	empirical	ADJ
ap-9725	298	4	evidence	evidence	NOUN
ap-9725	298	5	,	,	PUNCT
ap-9725	298	6	we	we	PRON
ap-9725	298	7	have	have	AUX
ap-9725	298	8	discovered	discover	VERB
ap-9725	298	9	that	that	SCONJ
ap-9725	298	10	violence	violence	NOUN
ap-9725	298	11	analysis	analysis	NOUN
ap-9725	298	12	is	be	AUX
ap-9725	298	13	now	now	ADV
ap-9725	298	14	operating	operate	VERB
ap-9725	298	15	at	at	ADP
ap-9725	298	16	a	a	DET
ap-9725	298	17	high	high	ADJ
ap-9725	298	18	level	level	NOUN
ap-9725	298	19	,	,	PUNCT
ap-9725	298	20	but	but	CCONJ
ap-9725	298	21	it	it	PRON
ap-9725	298	22	can	can	AUX
ap-9725	298	23	not	not	PART
ap-9725	298	24	accurately	accurately	ADV
ap-9725	298	25	determine	determine	VERB
ap-9725	298	26	the	the	DET
ap-9725	298	27	severity	severity	NOUN
ap-9725	298	28	of	of	ADP
ap-9725	298	29	violent	violent	ADJ
ap-9725	298	30	behaviour	behaviour	NOUN
ap-9725	298	31	.	.	PUNCT
ap-9725	299	1	furthermore	furthermore	ADV
ap-9725	299	2	,	,	PUNCT
ap-9725	299	3	if	if	SCONJ
ap-9725	299	4	the	the	DET
ap-9725	299	5	films	film	NOUN
ap-9725	299	6	are	be	AUX
ap-9725	299	7	excessively	excessively	ADV
ap-9725	299	8	long	long	ADJ
ap-9725	299	9	,	,	PUNCT
ap-9725	299	10	the	the	DET
ap-9725	299	11	analysis	analysis	NOUN
ap-9725	299	12	process	process	NOUN
ap-9725	299	13	can	can	AUX
ap-9725	299	14	be	be	AUX
ap-9725	299	15	timeconsuming	timeconsuming	ADJ
ap-9725	299	16	.	.	PUNCT
ap-9725	300	1	to	to	PART
ap-9725	300	2	overcome	overcome	VERB
ap-9725	300	3	these	these	DET
ap-9725	300	4	challenges	challenge	NOUN
ap-9725	300	5	,	,	PUNCT
ap-9725	300	6	our	our	PRON
ap-9725	300	7	forthcoming	forthcoming	ADJ
ap-9725	300	8	research	research	NOUN
ap-9725	300	9	endeavors	endeavor	NOUN
ap-9725	300	10	will	will	AUX
ap-9725	300	11	focus	focus	VERB
ap-9725	300	12	on	on	ADP
ap-9725	300	13	refining	refine	VERB
ap-9725	300	14	existing	exist	VERB
ap-9725	300	15	methodologies	methodology	NOUN
ap-9725	300	16	and	and	CCONJ
ap-9725	300	17	developing	develop	VERB
ap-9725	300	18	innovative	innovative	ADJ
ap-9725	300	19	techniques	technique	NOUN
ap-9725	300	20	to	to	PART
ap-9725	300	21	enhance	enhance	VERB
ap-9725	300	22	both	both	DET
ap-9725	300	23	the	the	DET
ap-9725	300	24	precision	precision	NOUN
ap-9725	300	25	of	of	ADP
ap-9725	300	26	violence	violence	NOUN
ap-9725	300	27	severity	severity	NOUN
ap-9725	300	28	assessment	assessment	NOUN
ap-9725	300	29	and	and	CCONJ
ap-9725	300	30	the	the	DET
ap-9725	300	31	efficiency	efficiency	NOUN
ap-9725	300	32	of	of	ADP
ap-9725	300	33	analysing	analyse	VERB
ap-9725	300	34	lengthy	lengthy	ADJ
ap-9725	300	35	film	film	NOUN
ap-9725	300	36	content	content	NOUN
ap-9725	300	37	.	.	PUNCT
ap-9725	301	1	5	5	X
ap-9725	301	2	.	.	X
ap-9725	301	3	conclusions	conclusion	NOUN
ap-9725	301	4	and	and	CCONJ
ap-9725	301	5	future	future	ADJ
ap-9725	301	6	work	work	NOUN
ap-9725	301	7	the	the	DET
ap-9725	301	8	work	work	NOUN
ap-9725	301	9	presented	present	VERB
ap-9725	301	10	the	the	DET
ap-9725	301	11	testing	testing	NOUN
ap-9725	301	12	and	and	CCONJ
ap-9725	301	13	validation	validation	NOUN
ap-9725	301	14	of	of	ADP
ap-9725	301	15	several	several	ADJ
ap-9725	301	16	deep	deep	ADJ
ap-9725	301	17	learning	learning	NOUN
ap-9725	301	18	models	model	NOUN
ap-9725	301	19	,	,	PUNCT
ap-9725	301	20	based	base	VERB
ap-9725	301	21	on	on	ADP
ap-9725	301	22	convlstm	convlstm	PROPN
ap-9725	301	23	,	,	PUNCT
ap-9725	301	24	for	for	ADP
ap-9725	301	25	the	the	DET
ap-9725	301	26	task	task	NOUN
ap-9725	301	27	of	of	ADP
ap-9725	301	28	detecting	detect	VERB
ap-9725	301	29	violence	violence	NOUN
ap-9725	301	30	in	in	ADP
ap-9725	301	31	videos	video	NOUN
ap-9725	301	32	.	.	PUNCT
ap-9725	302	1	we	we	PRON
ap-9725	302	2	used	use	VERB
ap-9725	302	3	different	different	ADJ
ap-9725	302	4	temporal	temporal	ADJ
ap-9725	302	5	fusion	fusion	NOUN
ap-9725	302	6	methods	method	NOUN
ap-9725	302	7	to	to	PART
ap-9725	302	8	separate	separate	VERB
ap-9725	302	9	the	the	DET
ap-9725	302	10	models	model	NOUN
ap-9725	302	11	.	.	PUNCT
ap-9725	303	1	the	the	DET
ap-9725	303	2	slow	slow	ADJ
ap-9725	303	3	fusion	fusion	NOUN
ap-9725	303	4	(	(	PUNCT
ap-9725	303	5	sf	sf	NOUN
ap-9725	303	6	)	)	PUNCT
ap-9725	303	7	method	method	NOUN
ap-9725	303	8	,	,	PUNCT
ap-9725	303	9	which	which	PRON
ap-9725	303	10	used	use	VERB
ap-9725	303	11	the	the	DET
ap-9725	303	12	mobilenet	mobilenet	NOUN
ap-9725	303	13	v3	v3	PROPN
ap-9725	303	14	convolutional	convolutional	ADJ
ap-9725	303	15	block	block	NOUN
ap-9725	303	16	,	,	PUNCT
ap-9725	303	17	showed	show	VERB
ap-9725	303	18	the	the	DET
ap-9725	303	19	317	317	NUM
ap-9725	303	20	k.	k.	NOUN
ap-9725	303	21	merit	merit	PROPN
ap-9725	303	22	,	,	PUNCT
ap-9725	303	23	m.	m.	NOUN
ap-9725	303	24	beladgham	beladgham	PROPN
ap-9725	303	25	,	,	PUNCT
ap-9725	303	26	a.	a.	NOUN
ap-9725	303	27	taleb	taleb	PROPN
ap-9725	303	28	-	-	PUNCT
ap-9725	303	29	ahmed	ahme	VERB
ap-9725	303	30	acta	acta	PROPN
ap-9725	303	31	polytechnica	polytechnica	PROPN
ap-9725	303	32	figure	figure	NOUN
ap-9725	303	33	12	12	NUM
ap-9725	303	34	.	.	PUNCT
ap-9725	304	1	a	a	DET
ap-9725	304	2	violent	violent	ADJ
ap-9725	304	3	video	video	NOUN
ap-9725	304	4	is	be	AUX
ap-9725	304	5	depicted	depict	VERB
ap-9725	304	6	in	in	ADP
ap-9725	304	7	the	the	DET
ap-9725	304	8	application	application	NOUN
ap-9725	304	9	.	.	PUNCT
ap-9725	305	1	figure	figure	NOUN
ap-9725	305	2	13	13	NUM
ap-9725	305	3	.	.	PUNCT
ap-9725	306	1	a	a	DET
ap-9725	306	2	non	non	ADJ
ap-9725	306	3	-	-	ADJ
ap-9725	306	4	violent	violent	ADJ
ap-9725	306	5	video	video	NOUN
ap-9725	306	6	is	be	AUX
ap-9725	306	7	depicted	depict	VERB
ap-9725	306	8	in	in	ADP
ap-9725	306	9	the	the	DET
ap-9725	306	10	application	application	NOUN
ap-9725	306	11	.	.	PUNCT
ap-9725	307	1	best	good	ADJ
ap-9725	307	2	results	result	NOUN
ap-9725	307	3	,	,	PUNCT
ap-9725	307	4	with	with	ADP
ap-9725	307	5	91.03	91.03	NUM
ap-9725	307	6	%	%	NOUN
ap-9725	307	7	accuracy	accuracy	NOUN
ap-9725	307	8	and	and	CCONJ
ap-9725	307	9	a	a	DET
ap-9725	307	10	90.90	90.90	NUM
ap-9725	307	11	%	%	NOUN
ap-9725	307	12	f1	f1	NOUN
ap-9725	307	13	-	-	PUNCT
ap-9725	307	14	score	score	NOUN
ap-9725	307	15	.	.	PUNCT
ap-9725	308	1	this	this	DET
ap-9725	308	2	result	result	NOUN
ap-9725	308	3	is	be	AUX
ap-9725	308	4	superior	superior	ADJ
ap-9725	308	5	to	to	ADP
ap-9725	308	6	state	state	NOUN
ap-9725	308	7	-	-	PUNCT
ap-9725	308	8	of	of	ADP
ap-9725	308	9	-	-	PUNCT
ap-9725	308	10	the	the	DET
ap-9725	308	11	-	-	PUNCT
ap-9725	308	12	art	art	NOUN
ap-9725	308	13	models	model	NOUN
ap-9725	308	14	that	that	PRON
ap-9725	308	15	used	use	VERB
ap-9725	308	16	the	the	DET
ap-9725	308	17	rlvs	rlvs	ADJ
ap-9725	308	18	database	database	NOUN
ap-9725	308	19	,	,	PUNCT
ap-9725	308	20	also	also	ADV
ap-9725	308	21	used	use	VERB
ap-9725	308	22	in	in	ADP
ap-9725	308	23	this	this	DET
ap-9725	308	24	work	work	NOUN
ap-9725	308	25	,	,	PUNCT
ap-9725	308	26	for	for	ADP
ap-9725	308	27	training	training	NOUN
ap-9725	308	28	and	and	CCONJ
ap-9725	308	29	validation	validation	NOUN
ap-9725	308	30	.	.	PUNCT
ap-9725	309	1	in	in	ADP
ap-9725	309	2	addition	addition	NOUN
ap-9725	309	3	to	to	ADP
ap-9725	309	4	better	well	ADJ
ap-9725	309	5	performance	performance	NOUN
ap-9725	309	6	in	in	ADP
ap-9725	309	7	classification	classification	NOUN
ap-9725	309	8	,	,	PUNCT
ap-9725	309	9	the	the	DET
ap-9725	309	10	result	result	NOUN
ap-9725	309	11	of	of	ADP
ap-9725	309	12	using	use	VERB
ap-9725	309	13	the	the	DET
ap-9725	309	14	mobilenet	mobilenet	NOUN
ap-9725	309	15	v3	v3	PROPN
ap-9725	309	16	model	model	NOUN
ap-9725	309	17	with	with	ADP
ap-9725	309	18	slow	slow	ADJ
ap-9725	309	19	fusion	fusion	NOUN
ap-9725	309	20	makes	make	VERB
ap-9725	309	21	the	the	DET
ap-9725	309	22	solution	solution	NOUN
ap-9725	309	23	more	more	ADV
ap-9725	309	24	viable	viable	ADJ
ap-9725	309	25	for	for	ADP
ap-9725	309	26	platforms	platform	NOUN
ap-9725	309	27	with	with	ADP
ap-9725	309	28	lower	low	ADJ
ap-9725	309	29	computational	computational	ADJ
ap-9725	309	30	power	power	NOUN
ap-9725	309	31	,	,	PUNCT
ap-9725	309	32	as	as	SCONJ
ap-9725	309	33	it	it	PRON
ap-9725	309	34	is	be	AUX
ap-9725	309	35	a	a	DET
ap-9725	309	36	lightweight	lightweight	ADJ
ap-9725	309	37	model	model	NOUN
ap-9725	309	38	,	,	PUNCT
ap-9725	309	39	which	which	PRON
ap-9725	309	40	is	be	AUX
ap-9725	309	41	an	an	DET
ap-9725	309	42	advantage	advantage	NOUN
ap-9725	309	43	for	for	ADP
ap-9725	309	44	surveillance	surveillance	NOUN
ap-9725	309	45	applications	application	NOUN
ap-9725	309	46	.	.	PUNCT
ap-9725	310	1	the	the	DET
ap-9725	310	2	fact	fact	NOUN
ap-9725	310	3	that	that	SCONJ
ap-9725	310	4	the	the	DET
ap-9725	310	5	mobilenet	mobilenet	NOUN
ap-9725	310	6	v3	v3	PROPN
ap-9725	310	7	convolutional	convolutional	ADJ
ap-9725	310	8	block	block	NOUN
ap-9725	310	9	models	model	NOUN
ap-9725	310	10	have	have	AUX
ap-9725	310	11	short	short	ADJ
ap-9725	310	12	training	training	NOUN
ap-9725	310	13	and	and	CCONJ
ap-9725	310	14	execution	execution	NOUN
ap-9725	310	15	times	time	NOUN
ap-9725	310	16	compared	compare	VERB
ap-9725	310	17	to	to	ADP
ap-9725	310	18	other	other	ADJ
ap-9725	310	19	models	model	NOUN
ap-9725	310	20	in	in	ADP
ap-9725	310	21	different	different	ADJ
ap-9725	310	22	temporal	temporal	ADJ
ap-9725	310	23	fusion	fusion	NOUN
ap-9725	310	24	tests	test	NOUN
ap-9725	310	25	demonstrates	demonstrate	VERB
ap-9725	310	26	their	their	PRON
ap-9725	310	27	efficiency	efficiency	NOUN
ap-9725	310	28	.	.	PUNCT
ap-9725	311	1	future	future	ADJ
ap-9725	311	2	work	work	NOUN
ap-9725	311	3	will	will	AUX
ap-9725	311	4	focus	focus	VERB
ap-9725	311	5	on	on	ADP
ap-9725	311	6	how	how	SCONJ
ap-9725	311	7	to	to	PART
ap-9725	311	8	enhance	enhance	VERB
ap-9725	311	9	the	the	DET
ap-9725	311	10	applicability	applicability	NOUN
ap-9725	311	11	and	and	CCONJ
ap-9725	311	12	robustness	robustness	NOUN
ap-9725	311	13	of	of	ADP
ap-9725	311	14	the	the	DET
ap-9725	311	15	proposed	propose	VERB
ap-9725	311	16	model	model	NOUN
ap-9725	311	17	.	.	PUNCT
ap-9725	312	1	first	first	ADV
ap-9725	312	2	,	,	PUNCT
ap-9725	312	3	we	we	PRON
ap-9725	312	4	plan	plan	VERB
ap-9725	312	5	to	to	PART
ap-9725	312	6	test	test	VERB
ap-9725	312	7	the	the	DET
ap-9725	312	8	model	model	NOUN
ap-9725	312	9	on	on	ADP
ap-9725	312	10	diverse	diverse	ADJ
ap-9725	312	11	datasets	dataset	NOUN
ap-9725	312	12	,	,	PUNCT
ap-9725	312	13	such	such	ADJ
ap-9725	312	14	as	as	ADP
ap-9725	312	15	hmdb51	hmdb51	NOUN
ap-9725	312	16	,	,	PUNCT
ap-9725	312	17	ucf101	ucf101	NOUN
ap-9725	312	18	,	,	PUNCT
ap-9725	312	19	kinetics	kinetic	NOUN
ap-9725	312	20	,	,	PUNCT
ap-9725	312	21	and	and	CCONJ
ap-9725	312	22	other	other	ADJ
ap-9725	312	23	relevant	relevant	ADJ
ap-9725	312	24	databases	database	NOUN
ap-9725	312	25	,	,	PUNCT
ap-9725	312	26	such	such	ADJ
ap-9725	312	27	as	as	ADP
ap-9725	312	28	surveillance	surveillance	NOUN
ap-9725	312	29	fight	fight	NOUN
ap-9725	312	30	detection	detection	NOUN
ap-9725	312	31	(	(	PUNCT
ap-9725	312	32	sfd	sfd	NOUN
ap-9725	312	33	)	)	PUNCT
ap-9725	312	34	,	,	PUNCT
ap-9725	312	35	and	and	CCONJ
ap-9725	312	36	rwf-2000	rwf-2000	X
ap-9725	312	37	.	.	PUNCT
ap-9725	313	1	this	this	PRON
ap-9725	313	2	will	will	AUX
ap-9725	313	3	evaluate	evaluate	VERB
ap-9725	313	4	its	its	PRON
ap-9725	313	5	generalisability	generalisability	NOUN
ap-9725	313	6	across	across	ADP
ap-9725	313	7	different	different	ADJ
ap-9725	313	8	contexts	contexts	NOUN
ap-9725	313	9	,	,	PUNCT
ap-9725	313	10	including	include	VERB
ap-9725	313	11	surveillance	surveillance	NOUN
ap-9725	313	12	,	,	PUNCT
ap-9725	313	13	sports	sport	NOUN
ap-9725	313	14	,	,	PUNCT
ap-9725	313	15	and	and	CCONJ
ap-9725	313	16	crowded	crowd	VERB
ap-9725	313	17	public	public	ADJ
ap-9725	313	18	events	event	NOUN
ap-9725	313	19	.	.	PUNCT
ap-9725	314	1	second	second	ADJ
ap-9725	314	2	,	,	PUNCT
ap-9725	314	3	we	we	PRON
ap-9725	314	4	aim	aim	VERB
ap-9725	314	5	to	to	PART
ap-9725	314	6	extend	extend	VERB
ap-9725	314	7	the	the	DET
ap-9725	314	8	classification	classification	NOUN
ap-9725	314	9	task	task	NOUN
ap-9725	314	10	to	to	PART
ap-9725	314	11	include	include	VERB
ap-9725	314	12	multiple	multiple	ADJ
ap-9725	314	13	categories	category	NOUN
ap-9725	314	14	of	of	ADP
ap-9725	314	15	violent	violent	ADJ
ap-9725	314	16	behaviors	behavior	NOUN
ap-9725	314	17	(	(	PUNCT
ap-9725	314	18	e.g.	e.g.	ADV
ap-9725	314	19	,	,	PUNCT
ap-9725	314	20	fighting	fighting	NOUN
ap-9725	314	21	,	,	PUNCT
ap-9725	314	22	shooting	shooting	NOUN
ap-9725	314	23	,	,	PUNCT
ap-9725	314	24	aggressive	aggressive	ADJ
ap-9725	314	25	gestures	gesture	NOUN
ap-9725	314	26	)	)	PUNCT
ap-9725	314	27	,	,	PUNCT
ap-9725	314	28	which	which	PRON
ap-9725	314	29	will	will	AUX
ap-9725	314	30	improve	improve	VERB
ap-9725	314	31	the	the	DET
ap-9725	314	32	model	model	NOUN
ap-9725	314	33	’s	’s	PART
ap-9725	314	34	practical	practical	ADJ
ap-9725	314	35	utility	utility	NOUN
ap-9725	314	36	in	in	ADP
ap-9725	314	37	real	real	ADJ
ap-9725	314	38	-	-	PUNCT
ap-9725	314	39	world	world	NOUN
ap-9725	314	40	applications	application	NOUN
ap-9725	314	41	.	.	PUNCT
ap-9725	315	1	in	in	ADP
ap-9725	315	2	addition	addition	NOUN
ap-9725	315	3	,	,	PUNCT
ap-9725	315	4	we	we	PRON
ap-9725	315	5	will	will	AUX
ap-9725	315	6	address	address	VERB
ap-9725	315	7	the	the	DET
ap-9725	315	8	current	current	ADJ
ap-9725	315	9	limitations	limitation	NOUN
ap-9725	315	10	,	,	PUNCT
ap-9725	315	11	including	include	VERB
ap-9725	315	12	computational	computational	ADJ
ap-9725	315	13	complexity	complexity	NOUN
ap-9725	315	14	,	,	PUNCT
ap-9725	315	15	potential	potential	ADJ
ap-9725	315	16	bias	bias	NOUN
ap-9725	315	17	from	from	ADP
ap-9725	315	18	the	the	DET
ap-9725	315	19	exclusive	exclusive	ADJ
ap-9725	315	20	use	use	NOUN
ap-9725	315	21	of	of	ADP
ap-9725	315	22	the	the	DET
ap-9725	315	23	rlvs	rlvs	ADJ
ap-9725	315	24	dataset	dataset	NOUN
ap-9725	315	25	,	,	PUNCT
ap-9725	315	26	and	and	CCONJ
ap-9725	315	27	the	the	DET
ap-9725	315	28	inability	inability	NOUN
ap-9725	315	29	to	to	PART
ap-9725	315	30	assess	assess	VERB
ap-9725	315	31	the	the	DET
ap-9725	315	32	severity	severity	NOUN
ap-9725	315	33	of	of	ADP
ap-9725	315	34	violent	violent	ADJ
ap-9725	315	35	actions	action	NOUN
ap-9725	315	36	.	.	PUNCT
ap-9725	316	1	these	these	DET
ap-9725	316	2	improvements	improvement	NOUN
ap-9725	316	3	will	will	AUX
ap-9725	316	4	involve	involve	VERB
ap-9725	316	5	optimizing	optimize	VERB
ap-9725	316	6	the	the	DET
ap-9725	316	7	model	model	NOUN
ap-9725	316	8	for	for	ADP
ap-9725	316	9	real	real	ADJ
ap-9725	316	10	-	-	PUNCT
ap-9725	316	11	time	time	NOUN
ap-9725	316	12	processing	processing	NOUN
ap-9725	316	13	,	,	PUNCT
ap-9725	316	14	incorporating	incorporate	VERB
ap-9725	316	15	additional	additional	ADJ
ap-9725	316	16	datasets	dataset	NOUN
ap-9725	316	17	to	to	PART
ap-9725	316	18	reduce	reduce	VERB
ap-9725	316	19	bias	bias	NOUN
ap-9725	316	20	,	,	PUNCT
ap-9725	316	21	and	and	CCONJ
ap-9725	316	22	developing	develop	VERB
ap-9725	316	23	methods	method	NOUN
ap-9725	316	24	to	to	PART
ap-9725	316	25	evaluate	evaluate	VERB
ap-9725	316	26	the	the	DET
ap-9725	316	27	severity	severity	NOUN
ap-9725	316	28	of	of	ADP
ap-9725	316	29	detected	detect	VERB
ap-9725	316	30	violence	violence	NOUN
ap-9725	316	31	.	.	PUNCT
ap-9725	317	1	finally	finally	ADV
ap-9725	317	2	,	,	PUNCT
ap-9725	317	3	we	we	PRON
ap-9725	317	4	will	will	AUX
ap-9725	317	5	explore	explore	VERB
ap-9725	317	6	advanced	advanced	ADJ
ap-9725	317	7	techniques	technique	NOUN
ap-9725	317	8	,	,	PUNCT
ap-9725	317	9	such	such	ADJ
ap-9725	317	10	as	as	ADP
ap-9725	317	11	3d	3d	NUM
ap-9725	317	12	convolutional	convolutional	ADJ
ap-9725	317	13	neural	neural	ADJ
ap-9725	317	14	networks	network	NOUN
ap-9725	317	15	(	(	PUNCT
ap-9725	317	16	3dcnn	3dcnn	NUM
ap-9725	317	17	)	)	PUNCT
ap-9725	317	18	and	and	CCONJ
ap-9725	317	19	frequency	frequency	NOUN
ap-9725	317	20	-	-	PUNCT
ap-9725	317	21	domain	domain	NOUN
ap-9725	317	22	representations	representation	NOUN
ap-9725	317	23	,	,	PUNCT
ap-9725	317	24	to	to	PART
ap-9725	317	25	further	far	ADV
ap-9725	317	26	improve	improve	VERB
ap-9725	317	27	the	the	DET
ap-9725	317	28	model	model	NOUN
ap-9725	317	29	’s	’s	PART
ap-9725	317	30	performance	performance	NOUN
ap-9725	317	31	in	in	ADP
ap-9725	317	32	extracting	extract	VERB
ap-9725	317	33	spatial	spatial	ADJ
ap-9725	317	34	and	and	CCONJ
ap-9725	317	35	temporal	temporal	ADJ
ap-9725	317	36	features	feature	NOUN
ap-9725	317	37	.	.	PUNCT
ap-9725	318	1	acknowledgements	acknowledgement	NOUN
ap-9725	318	2	this	this	DET
ap-9725	318	3	work	work	NOUN
ap-9725	318	4	is	be	AUX
ap-9725	318	5	supported	support	VERB
ap-9725	318	6	by	by	ADP
ap-9725	318	7	a	a	DET
ap-9725	318	8	research	research	NOUN
ap-9725	318	9	project	project	NOUN
ap-9725	318	10	on	on	ADP
ap-9725	318	11	the	the	DET
ap-9725	318	12	design	design	NOUN
ap-9725	318	13	and	and	CCONJ
ap-9725	318	14	implementation	implementation	NOUN
ap-9725	318	15	of	of	ADP
ap-9725	318	16	a	a	DET
ap-9725	318	17	surveillance	surveillance	NOUN
ap-9725	318	18	system	system	NOUN
ap-9725	318	19	based	base	VERB
ap-9725	318	20	on	on	ADP
ap-9725	318	21	biometric	biometric	ADJ
ap-9725	318	22	systems	system	NOUN
ap-9725	318	23	for	for	ADP
ap-9725	318	24	the	the	DET
ap-9725	318	25	detection	detection	NOUN
ap-9725	318	26	and	and	CCONJ
ap-9725	318	27	recognition	recognition	NOUN
ap-9725	318	28	of	of	ADP
ap-9725	318	29	individuals	individual	NOUN
ap-9725	318	30	and	and	CCONJ
ap-9725	318	31	abnormal	abnormal	ADJ
ap-9725	318	32	behaviors	behavior	NOUN
ap-9725	318	33	no	no	INTJ
ap-9725	318	34	.	.	PUNCT
ap-9725	319	1	a25n01un080120180002	a25n01un080120180002	NOUN
ap-9725	319	2	.	.	PUNCT
ap-9725	320	1	references	reference	NOUN
ap-9725	320	2	[	[	X
ap-9725	320	3	1	1	X
ap-9725	320	4	]	]	PUNCT
ap-9725	320	5	j.	j.	PROPN
ap-9725	320	6	s.	s.	PROPN
ap-9725	320	7	gracias	gracias	PROPN
ap-9725	320	8	,	,	PUNCT
ap-9725	320	9	g.	g.	PROPN
ap-9725	320	10	s.	s.	PROPN
ap-9725	320	11	parnell	parnell	PROPN
ap-9725	320	12	,	,	PUNCT
ap-9725	320	13	e.	e.	PROPN
ap-9725	320	14	specking	specking	PROPN
ap-9725	320	15	,	,	PUNCT
ap-9725	320	16	et	et	PROPN
ap-9725	320	17	al	al	PROPN
ap-9725	320	18	.	.	PUNCT
ap-9725	321	1	smart	smart	ADJ
ap-9725	321	2	cities	city	NOUN
ap-9725	321	3	–	–	PUNCT
ap-9725	321	4	a	a	DET
ap-9725	321	5	structured	structured	ADJ
ap-9725	321	6	literature	literature	NOUN
ap-9725	321	7	review	review	NOUN
ap-9725	321	8	.	.	PUNCT
ap-9725	322	1	smart	smart	ADJ
ap-9725	322	2	cities	city	NOUN
ap-9725	322	3	6(4):1719–1743	6(4):1719–1743	PROPN
ap-9725	322	4	,	,	PUNCT
ap-9725	322	5	2023	2023	NUM
ap-9725	322	6	.	.	PUNCT
ap-9725	323	1	https://doi.org/10.3390/smartcities6040080	https://doi.org/10.3390/smartcities6040080	NOUN
ap-9725	324	1	[	[	X
ap-9725	324	2	2	2	X
ap-9725	324	3	]	]	PUNCT
ap-9725	324	4	i.	i.	PROPN
ap-9725	324	5	a.	a.	PROPN
ap-9725	324	6	t.	t.	PROPN
ap-9725	324	7	hashem	hashem	PROPN
ap-9725	324	8	,	,	PUNCT
ap-9725	324	9	v.	v.	PROPN
ap-9725	324	10	chang	chang	PROPN
ap-9725	324	11	,	,	PUNCT
ap-9725	324	12	n.	n.	PROPN
ap-9725	324	13	b.	b.	PROPN
ap-9725	324	14	anuar	anuar	PROPN
ap-9725	324	15	,	,	PUNCT
ap-9725	324	16	et	et	PROPN
ap-9725	324	17	al	al	PROPN
ap-9725	324	18	.	.	PUNCT
ap-9725	325	1	the	the	DET
ap-9725	325	2	role	role	NOUN
ap-9725	325	3	of	of	ADP
ap-9725	325	4	big	big	ADJ
ap-9725	325	5	data	datum	NOUN
ap-9725	325	6	in	in	ADP
ap-9725	325	7	smart	smart	ADJ
ap-9725	325	8	city	city	NOUN
ap-9725	325	9	.	.	PUNCT
ap-9725	326	1	international	international	ADJ
ap-9725	326	2	journal	journal	PROPN
ap-9725	326	3	of	of	ADP
ap-9725	326	4	information	information	NOUN
ap-9725	326	5	management	management	NOUN
ap-9725	326	6	36(5):748–758	36(5):748–758	PROPN
ap-9725	326	7	,	,	PUNCT
ap-9725	326	8	2016	2016	NUM
ap-9725	326	9	.	.	PUNCT
ap-9725	327	1	https://doi.org/10.1016/j.ijinfomgt.2016.05.002	https://doi.org/10.1016/j.ijinfomgt.2016.05.002	NUM
ap-9725	327	2	[	[	X
ap-9725	327	3	3	3	X
ap-9725	327	4	]	]	X
ap-9725	327	5	d.	d.	PROPN
ap-9725	327	6	m.	m.	NOUN
ap-9725	327	7	blei	blei	PROPN
ap-9725	327	8	,	,	PUNCT
ap-9725	327	9	p.	p.	NOUN
ap-9725	327	10	smyth	smyth	PROPN
ap-9725	327	11	.	.	PUNCT
ap-9725	328	1	science	science	NOUN
ap-9725	328	2	and	and	CCONJ
ap-9725	328	3	data	datum	NOUN
ap-9725	328	4	science	science	NOUN
ap-9725	328	5	.	.	PUNCT
ap-9725	329	1	proceedings	proceeding	NOUN
ap-9725	329	2	of	of	ADP
ap-9725	329	3	the	the	DET
ap-9725	329	4	national	national	PROPN
ap-9725	329	5	academy	academy	PROPN
ap-9725	329	6	of	of	ADP
ap-9725	329	7	sciences	sciences	PROPN
ap-9725	329	8	of	of	ADP
ap-9725	329	9	the	the	DET
ap-9725	329	10	united	united	PROPN
ap-9725	329	11	states	states	PROPN
ap-9725	329	12	of	of	ADP
ap-9725	329	13	america	america	PROPN
ap-9725	329	14	114(33):8689–8692	114(33):8689–8692	NUM
ap-9725	329	15	,	,	PUNCT
ap-9725	329	16	2017	2017	NUM
ap-9725	329	17	.	.	PUNCT
ap-9725	330	1	https://doi.org/10.1073/pnas.1702076114	https://doi.org/10.1073/pnas.1702076114	NOUN
ap-9725	331	1	[	[	X
ap-9725	331	2	4	4	NUM
ap-9725	331	3	]	]	PUNCT
ap-9725	331	4	f.	f.	PROPN
ap-9725	331	5	a.	a.	PROPN
ap-9725	331	6	temel	temel	PROPN
ap-9725	331	7	,	,	PUNCT
ap-9725	331	8	o.	o.	PROPN
ap-9725	331	9	c.	c.	PROPN
ap-9725	331	10	yolcu	yolcu	PROPN
ap-9725	331	11	,	,	PUNCT
ap-9725	331	12	n.	n.	PROPN
ap-9725	331	13	g.	g.	PROPN
ap-9725	331	14	turan	turan	PROPN
ap-9725	331	15	.	.	PUNCT
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ap-9725	332	2	intelligence	intelligence	NOUN
ap-9725	332	3	and	and	CCONJ
ap-9725	332	4	machine	machine	NOUN
ap-9725	332	5	learning	learning	NOUN
ap-9725	332	6	approaches	approach	NOUN
ap-9725	332	7	in	in	ADP
ap-9725	332	8	composting	composting	NOUN
ap-9725	332	9	process	process	NOUN
ap-9725	332	10	:	:	PUNCT
ap-9725	332	11	a	a	DET
ap-9725	332	12	review	review	NOUN
ap-9725	332	13	.	.	PUNCT
ap-9725	333	1	bioresource	bioresource	ADP
ap-9725	333	2	technology	technology	NOUN
ap-9725	333	3	370:128539	370:128539	NUM
ap-9725	333	4	,	,	PUNCT
ap-9725	333	5	2023	2023	NUM
ap-9725	333	6	.	.	PUNCT
ap-9725	334	1	https://doi.org/10.1016/j.biortech.2022.128539	https://doi.org/10.1016/j.biortech.2022.128539	PUNCT
ap-9725	334	2	[	[	X
ap-9725	334	3	5	5	NUM
ap-9725	334	4	]	]	X
ap-9725	334	5	y.	y.	NOUN
ap-9725	334	6	lecun	lecun	PROPN
ap-9725	334	7	,	,	PUNCT
ap-9725	334	8	y.	y.	PROPN
ap-9725	334	9	bengio	bengio	PROPN
ap-9725	334	10	,	,	PUNCT
ap-9725	334	11	g.	g.	PROPN
ap-9725	334	12	hinton	hinton	PROPN
ap-9725	334	13	.	.	PUNCT
ap-9725	335	1	deep	deep	ADJ
ap-9725	335	2	learning	learning	NOUN
ap-9725	335	3	.	.	PUNCT
ap-9725	336	1	nature	nature	NOUN
ap-9725	336	2	521(7553):436–444	521(7553):436–444	NUM
ap-9725	336	3	,	,	PUNCT
ap-9725	336	4	2015	2015	NUM
ap-9725	336	5	.	.	PUNCT
ap-9725	337	1	https://doi.org/10.1038/nature14539	https://doi.org/10.1038/nature14539	NOUN
ap-9725	338	1	[	[	X
ap-9725	338	2	6	6	NUM
ap-9725	338	3	]	]	PUNCT
ap-9725	338	4	l.	l.	PROPN
ap-9725	338	5	calderoni	calderoni	PROPN
ap-9725	338	6	,	,	PUNCT
ap-9725	338	7	d.	d.	PROPN
ap-9725	338	8	maio	maio	PROPN
ap-9725	338	9	,	,	PUNCT
ap-9725	338	10	s.	s.	PROPN
ap-9725	338	11	rovis	rovis	PROPN
ap-9725	338	12	.	.	PUNCT
ap-9725	339	1	deploying	deploy	VERB
ap-9725	339	2	a	a	DET
ap-9725	339	3	network	network	NOUN
ap-9725	339	4	of	of	ADP
ap-9725	339	5	smart	smart	ADJ
ap-9725	339	6	cameras	camera	NOUN
ap-9725	339	7	for	for	ADP
ap-9725	339	8	traffic	traffic	NOUN
ap-9725	339	9	monitoring	monitoring	NOUN
ap-9725	339	10	on	on	ADP
ap-9725	339	11	a	a	DET
ap-9725	339	12	“	"	PUNCT
ap-9725	339	13	city	city	NOUN
ap-9725	339	14	kernel	kernel	NOUN
ap-9725	339	15	”	"	PUNCT
ap-9725	339	16	.	.	PUNCT
ap-9725	340	1	expert	expert	NOUN
ap-9725	340	2	systems	system	NOUN
ap-9725	340	3	with	with	ADP
ap-9725	340	4	applications	application	NOUN
ap-9725	340	5	41(2):502–507	41(2):502–507	PROPN
ap-9725	340	6	,	,	PUNCT
ap-9725	340	7	2014	2014	NUM
ap-9725	340	8	.	.	PUNCT
ap-9725	341	1	https://doi.org/10.1016/j.eswa.2013.07.076	https://doi.org/10.1016/j.eswa.2013.07.076	NOUN
ap-9725	341	2	[	[	X
ap-9725	341	3	7	7	NUM
ap-9725	341	4	]	]	PUNCT
ap-9725	341	5	k.	k.	PROPN
ap-9725	341	6	muhammad	muhammad	PROPN
ap-9725	341	7	,	,	PUNCT
ap-9725	341	8	j.	j.	PROPN
ap-9725	341	9	ahmad	ahmad	PROPN
ap-9725	341	10	,	,	PUNCT
ap-9725	341	11	i.	i.	PROPN
ap-9725	341	12	mehmood	mehmood	PROPN
ap-9725	341	13	,	,	PUNCT
ap-9725	341	14	et	et	PROPN
ap-9725	341	15	al	al	PROPN
ap-9725	341	16	.	.	PUNCT
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ap-9725	342	2	neural	neural	ADJ
ap-9725	342	3	networks	network	NOUN
ap-9725	342	4	based	base	VERB
ap-9725	342	5	fire	fire	NOUN
ap-9725	342	6	detection	detection	NOUN
ap-9725	342	7	in	in	ADP
ap-9725	342	8	surveillance	surveillance	NOUN
ap-9725	342	9	videos	video	NOUN
ap-9725	342	10	.	.	PUNCT
ap-9725	343	1	ieee	ieee	NOUN
ap-9725	343	2	access	access	NOUN
ap-9725	343	3	6:18174–18183	6:18174–18183	PROPN
ap-9725	343	4	,	,	PUNCT
ap-9725	343	5	2018	2018	NUM
ap-9725	343	6	.	.	PUNCT
ap-9725	344	1	https://doi.org/10.1109/access.2018.2812835	https://doi.org/10.1109/access.2018.2812835	NOUN
ap-9725	344	2	318	318	NUM
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ap-9725	344	5	https://doi.org/10.1073/pnas.1702076114	https://doi.org/10.1073/pnas.1702076114	X
ap-9725	344	6	https://doi.org/10.1016/j.biortech.2022.128539	https://doi.org/10.1016/j.biortech.2022.128539	PROPN
ap-9725	344	7	https://doi.org/10.1038/nature14539	https://doi.org/10.1038/nature14539	NOUN
ap-9725	344	8	https://doi.org/10.1016/j.eswa.2013.07.076	https://doi.org/10.1016/j.eswa.2013.07.076	PROPN
ap-9725	344	9	https://doi.org/10.1109/access.2018.2812835	https://doi.org/10.1109/access.2018.2812835	PROPN
ap-9725	344	10	vol	vol	NOUN
ap-9725	344	11	.	.	PROPN
ap-9725	345	1	65	65	NUM
ap-9725	345	2	no	no	NOUN
ap-9725	345	3	.	.	PUNCT
ap-9725	346	1	3/2025	3/2025	NUM
ap-9725	346	2	temporal	temporal	ADJ
ap-9725	346	3	fusion	fusion	NOUN
ap-9725	346	4	strategy	strategy	NOUN
ap-9725	346	5	for	for	ADP
ap-9725	346	6	violence	violence	NOUN
ap-9725	346	7	detection	detection	NOUN
ap-9725	346	8	.	.	PUNCT
ap-9725	346	9	.	.	PUNCT
ap-9725	346	10	.	.	PUNCT
ap-9725	347	1	[	[	X
ap-9725	347	2	8	8	X
ap-9725	347	3	]	]	X
ap-9725	347	4	s.	s.	PROPN
ap-9725	347	5	sudhakaran	sudhakaran	VERB
ap-9725	347	6	,	,	PUNCT
ap-9725	347	7	o.	o.	PROPN
ap-9725	347	8	lanz	lanz	PROPN
ap-9725	347	9	.	.	PUNCT
ap-9725	348	1	learning	learn	VERB
ap-9725	348	2	to	to	PART
ap-9725	348	3	detect	detect	VERB
ap-9725	348	4	violent	violent	ADJ
ap-9725	348	5	videos	video	NOUN
ap-9725	348	6	using	use	VERB
ap-9725	348	7	convolutional	convolutional	ADJ
ap-9725	348	8	long	long	ADJ
ap-9725	348	9	short	short	ADJ
ap-9725	348	10	-	-	PUNCT
ap-9725	348	11	term	term	NOUN
ap-9725	348	12	memory	memory	NOUN
ap-9725	348	13	.	.	PUNCT
ap-9725	349	1	in	in	ADP
ap-9725	349	2	2017	2017	NUM
ap-9725	349	3	14th	14th	NOUN
ap-9725	349	4	ieee	ieee	NOUN
ap-9725	349	5	international	international	ADJ
ap-9725	349	6	conference	conference	NOUN
ap-9725	349	7	on	on	ADP
ap-9725	349	8	advanced	advanced	ADJ
ap-9725	349	9	video	video	NOUN
ap-9725	349	10	and	and	CCONJ
ap-9725	349	11	signal	signal	NOUN
ap-9725	349	12	based	base	VERB
ap-9725	349	13	surveillance	surveillance	NOUN
ap-9725	349	14	(	(	PUNCT
ap-9725	349	15	avss	avss	NOUN
ap-9725	349	16	)	)	PUNCT
ap-9725	349	17	,	,	PUNCT
ap-9725	349	18	pp	pp	ADV
ap-9725	349	19	.	.	PUNCT
ap-9725	350	1	1–6	1–6	NUM
ap-9725	350	2	.	.	X
ap-9725	350	3	ieee	ieee	PROPN
ap-9725	350	4	,	,	PUNCT
ap-9725	350	5	2017	2017	NUM
ap-9725	350	6	.	.	PUNCT
ap-9725	351	1	https://doi.org/10.1109/avss.2017.8078468	https://doi.org/10.1109/avss.2017.8078468	PROPN
ap-9725	352	1	[	[	X
ap-9725	352	2	9	9	NUM
ap-9725	352	3	]	]	X
ap-9725	352	4	i.	i.	PROPN
ap-9725	352	5	serrano	serrano	PROPN
ap-9725	352	6	,	,	PUNCT
ap-9725	352	7	o.	o.	PROPN
ap-9725	352	8	deniz	deniz	PROPN
ap-9725	352	9	,	,	PUNCT
ap-9725	352	10	j.	j.	PROPN
ap-9725	352	11	l.	l.	PROPN
ap-9725	352	12	espinosa	espinosa	PROPN
ap-9725	352	13	-	-	PUNCT
ap-9725	352	14	aranda	aranda	PROPN
ap-9725	352	15	,	,	PUNCT
ap-9725	352	16	g.	g.	PROPN
ap-9725	352	17	bueno	bueno	PROPN
ap-9725	352	18	.	.	PUNCT
ap-9725	353	1	fight	fight	NOUN
ap-9725	353	2	recognition	recognition	NOUN
ap-9725	353	3	in	in	ADP
ap-9725	353	4	video	video	NOUN
ap-9725	353	5	using	use	VERB
ap-9725	353	6	hough	hough	PROPN
ap-9725	353	7	forests	forest	NOUN
ap-9725	353	8	and	and	CCONJ
ap-9725	353	9	2d	2d	NUM
ap-9725	353	10	convolutional	convolutional	ADJ
ap-9725	353	11	neural	neural	ADJ
ap-9725	353	12	network	network	NOUN
ap-9725	353	13	.	.	PUNCT
ap-9725	354	1	ieee	ieee	NOUN
ap-9725	354	2	transactions	transaction	NOUN
ap-9725	354	3	on	on	ADP
ap-9725	354	4	image	image	NOUN
ap-9725	354	5	processing	process	VERB
ap-9725	354	6	27(10):4787–4797	27(10):4787–4797	NUM
ap-9725	354	7	,	,	PUNCT
ap-9725	354	8	2018	2018	NUM
ap-9725	354	9	.	.	PUNCT
ap-9725	355	1	https://doi.org/10.1109/tip.2018.2845742	https://doi.org/10.1109/tip.2018.2845742	PROPN
ap-9725	356	1	[	[	X
ap-9725	356	2	10	10	NUM
ap-9725	356	3	]	]	X
ap-9725	356	4	a.	a.	NOUN
ap-9725	356	5	s.	s.	PROPN
ap-9725	356	6	keçeli	keçeli	PROPN
ap-9725	356	7	,	,	PUNCT
ap-9725	356	8	a.	a.	PROPN
ap-9725	356	9	kaya	kaya	PROPN
ap-9725	356	10	.	.	PUNCT
ap-9725	357	1	violent	violent	ADJ
ap-9725	357	2	activity	activity	NOUN
ap-9725	357	3	detection	detection	NOUN
ap-9725	357	4	with	with	ADP
ap-9725	357	5	transfer	transfer	NOUN
ap-9725	357	6	learning	learning	NOUN
ap-9725	357	7	method	method	NOUN
ap-9725	357	8	.	.	PUNCT
ap-9725	358	1	electronics	electronic	NOUN
ap-9725	358	2	letters	letter	NOUN
ap-9725	358	3	53(15):1047–1048	53(15):1047–1048	NUM
ap-9725	358	4	,	,	PUNCT
ap-9725	358	5	2017	2017	NUM
ap-9725	358	6	.	.	PUNCT
ap-9725	359	1	https://doi.org/10.1049/el.2017.0970	https://doi.org/10.1049/el.2017.0970	PROPN
ap-9725	359	2	[	[	X
ap-9725	359	3	11	11	NUM
ap-9725	359	4	]	]	PUNCT
ap-9725	359	5	a.	a.	NOUN
ap-9725	359	6	voulodimos	voulodimos	PROPN
ap-9725	359	7	,	,	PUNCT
ap-9725	359	8	n.	n.	PROPN
ap-9725	359	9	doulamis	doulamis	PROPN
ap-9725	359	10	,	,	PUNCT
ap-9725	359	11	a.	a.	NOUN
ap-9725	359	12	doulamis	doulamis	PROPN
ap-9725	359	13	,	,	PUNCT
ap-9725	359	14	e.	e.	PROPN
ap-9725	359	15	protopapadakis	protopapadakis	PROPN
ap-9725	359	16	.	.	PUNCT
ap-9725	360	1	deep	deep	ADJ
ap-9725	360	2	learning	learning	NOUN
ap-9725	360	3	for	for	ADP
ap-9725	360	4	computer	computer	NOUN
ap-9725	360	5	vision	vision	NOUN
ap-9725	360	6	:	:	PUNCT
ap-9725	360	7	a	a	DET
ap-9725	360	8	brief	brief	ADJ
ap-9725	360	9	review	review	NOUN
ap-9725	360	10	.	.	PUNCT
ap-9725	361	1	computational	computational	ADJ
ap-9725	361	2	intelligence	intelligence	NOUN
ap-9725	361	3	and	and	CCONJ
ap-9725	361	4	neuroscience	neuroscience	NOUN
ap-9725	361	5	2018(1):7068349	2018(1):7068349	NUM
ap-9725	361	6	,	,	PUNCT
ap-9725	361	7	2018	2018	NUM
ap-9725	361	8	.	.	PUNCT
ap-9725	362	1	https://doi.org/10.1155/2018/7068349	https://doi.org/10.1155/2018/7068349	PROPN
ap-9725	363	1	[	[	X
ap-9725	363	2	12	12	NUM
ap-9725	363	3	]	]	PUNCT
ap-9725	363	4	a.	a.	PROPN
ap-9725	363	5	b.	b.	PROPN
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ap-9725	363	7	,	,	PUNCT
ap-9725	363	8	x.	x.	PROPN
ap-9725	363	9	wang	wang	PROPN
ap-9725	363	10	,	,	PUNCT
ap-9725	363	11	p.	p.	NOUN
ap-9725	363	12	angelov	angelov	NOUN
ap-9725	363	13	,	,	PUNCT
ap-9725	363	14	z.	z.	PROPN
ap-9725	363	15	habib	habib	PROPN
ap-9725	363	16	.	.	PUNCT
ap-9725	364	1	human	human	ADJ
ap-9725	364	2	action	action	NOUN
ap-9725	364	3	recognition	recognition	NOUN
ap-9725	364	4	using	use	VERB
ap-9725	364	5	transfer	transfer	NOUN
ap-9725	364	6	learning	learning	NOUN
ap-9725	364	7	with	with	ADP
ap-9725	364	8	deep	deep	ADJ
ap-9725	364	9	representations	representation	NOUN
ap-9725	364	10	.	.	PUNCT
ap-9725	365	1	in	in	ADP
ap-9725	365	2	2017	2017	NUM
ap-9725	365	3	international	international	ADJ
ap-9725	365	4	joint	joint	ADJ
ap-9725	365	5	conference	conference	NOUN
ap-9725	365	6	on	on	ADP
ap-9725	365	7	neural	neural	ADJ
ap-9725	365	8	networks	network	NOUN
ap-9725	365	9	(	(	PUNCT
ap-9725	365	10	ijcnn	ijcnn	PROPN
ap-9725	365	11	)	)	PUNCT
ap-9725	365	12	,	,	PUNCT
ap-9725	365	13	pp	pp	ADP
ap-9725	365	14	.	.	PUNCT
ap-9725	366	1	463–469	463–469	NUM
ap-9725	366	2	.	.	PUNCT
ap-9725	366	3	ieee	ieee	PROPN
ap-9725	366	4	,	,	PUNCT
ap-9725	366	5	2017	2017	NUM
ap-9725	366	6	.	.	PUNCT
ap-9725	367	1	https://doi.org/10.1109/ijcnn.2017.7965890	https://doi.org/10.1109/ijcnn.2017.7965890	PROPN
ap-9725	367	2	[	[	X
ap-9725	367	3	13	13	NUM
ap-9725	367	4	]	]	PUNCT
ap-9725	367	5	p.	p.	NOUN
ap-9725	367	6	zhou	zhou	PROPN
ap-9725	367	7	,	,	PUNCT
ap-9725	367	8	q.	q.	PROPN
ap-9725	367	9	ding	ding	PROPN
ap-9725	367	10	,	,	PUNCT
ap-9725	367	11	h.	h.	PROPN
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ap-9725	367	13	,	,	PUNCT
ap-9725	367	14	x.	x.	PROPN
ap-9725	367	15	hou	hou	PROPN
ap-9725	367	16	.	.	PUNCT
ap-9725	368	1	violent	violent	ADJ
ap-9725	368	2	interaction	interaction	NOUN
ap-9725	368	3	detection	detection	NOUN
ap-9725	368	4	in	in	ADP
ap-9725	368	5	video	video	NOUN
ap-9725	368	6	based	base	VERB
ap-9725	368	7	on	on	ADP
ap-9725	368	8	deep	deep	ADJ
ap-9725	368	9	learning	learning	NOUN
ap-9725	368	10	.	.	PUNCT
ap-9725	369	1	journal	journal	PROPN
ap-9725	369	2	of	of	ADP
ap-9725	369	3	physics	physics	PROPN
ap-9725	369	4	:	:	PUNCT
ap-9725	369	5	conference	conference	NOUN
ap-9725	369	6	series	series	PROPN
ap-9725	369	7	844(1):012044	844(1):012044	PROPN
ap-9725	369	8	,	,	PUNCT
ap-9725	369	9	2017	2017	NUM
ap-9725	369	10	.	.	PUNCT
ap-9725	370	1	https://doi.org/10.1088/1742-6596/844/1/012044	https://doi.org/10.1088/1742-6596/844/1/012044	X
ap-9725	371	1	[	[	X
ap-9725	371	2	14	14	NUM
ap-9725	371	3	]	]	PUNCT
ap-9725	371	4	j.	j.	PROPN
ap-9725	371	5	deng	deng	PROPN
ap-9725	371	6	,	,	PUNCT
ap-9725	371	7	w.	w.	PROPN
ap-9725	371	8	dong	dong	PROPN
ap-9725	371	9	,	,	PUNCT
ap-9725	371	10	r.	r.	PROPN
ap-9725	371	11	socher	socher	PROPN
ap-9725	371	12	,	,	PUNCT
ap-9725	371	13	et	et	PROPN
ap-9725	371	14	al	al	PROPN
ap-9725	371	15	.	.	PROPN
ap-9725	371	16	imagenet	imagenet	PROPN
ap-9725	371	17	:	:	PUNCT
ap-9725	371	18	a	a	DET
ap-9725	371	19	large	large	ADJ
ap-9725	371	20	-	-	PUNCT
ap-9725	371	21	scale	scale	NOUN
ap-9725	371	22	hierarchical	hierarchical	ADJ
ap-9725	371	23	image	image	NOUN
ap-9725	371	24	database	database	NOUN
ap-9725	371	25	.	.	PUNCT
ap-9725	372	1	in	in	ADP
ap-9725	372	2	2009	2009	NUM
ap-9725	372	3	ieee	ieee	NOUN
ap-9725	372	4	conference	conference	NOUN
ap-9725	372	5	on	on	ADP
ap-9725	372	6	computer	computer	NOUN
ap-9725	372	7	vision	vision	NOUN
ap-9725	372	8	and	and	CCONJ
ap-9725	372	9	pattern	pattern	NOUN
ap-9725	372	10	recognition	recognition	NOUN
ap-9725	372	11	,	,	PUNCT
ap-9725	372	12	pp	pp	ADP
ap-9725	372	13	.	.	PUNCT
ap-9725	373	1	248–255	248–255	NUM
ap-9725	373	2	.	.	X
ap-9725	373	3	ieee	ieee	NOUN
ap-9725	373	4	,	,	PUNCT
ap-9725	373	5	2009	2009	NUM
ap-9725	373	6	.	.	PUNCT
ap-9725	374	1	https://doi.org/10.1109/cvprw.2009.5206848	https://doi.org/10.1109/cvprw.2009.5206848	PROPN
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ap-9725	375	3	]	]	PUNCT
ap-9725	375	4	t.	t.	PROPN
ap-9725	375	5	guo	guo	PROPN
ap-9725	375	6	,	,	PUNCT
ap-9725	375	7	z.	z.	PROPN
ap-9725	375	8	xu	xu	PROPN
ap-9725	375	9	,	,	PUNCT
ap-9725	375	10	x.	x.	PROPN
ap-9725	375	11	yao	yao	PROPN
ap-9725	375	12	,	,	PUNCT
ap-9725	375	13	et	et	PROPN
ap-9725	375	14	al	al	PROPN
ap-9725	375	15	.	.	PROPN
ap-9725	376	1	robust	robust	ADJ
ap-9725	376	2	online	online	ADJ
ap-9725	376	3	time	time	NOUN
ap-9725	376	4	series	series	PROPN
ap-9725	376	5	prediction	prediction	NOUN
ap-9725	376	6	with	with	ADP
ap-9725	376	7	recurrent	recurrent	ADJ
ap-9725	376	8	neural	neural	ADJ
ap-9725	376	9	networks	network	NOUN
ap-9725	376	10	.	.	PUNCT
ap-9725	377	1	in	in	ADP
ap-9725	377	2	2016	2016	NUM
ap-9725	377	3	ieee	ieee	NOUN
ap-9725	377	4	international	international	ADJ
ap-9725	377	5	conference	conference	NOUN
ap-9725	377	6	on	on	ADP
ap-9725	377	7	data	datum	NOUN
ap-9725	377	8	science	science	NOUN
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ap-9725	377	10	advanced	advanced	ADJ
ap-9725	377	11	analytics	analytic	NOUN
ap-9725	377	12	(	(	PUNCT
ap-9725	377	13	dsaa	dsaa	PROPN
ap-9725	377	14	)	)	PUNCT
ap-9725	377	15	,	,	PUNCT
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ap-9725	377	17	.	.	PUNCT
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ap-9725	378	2	.	.	PUNCT
ap-9725	379	1	ieee	ieee	PROPN
ap-9725	379	2	,	,	PUNCT
ap-9725	379	3	2016	2016	NUM
ap-9725	379	4	.	.	PUNCT
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ap-9725	381	8	o.	o.	PROPN
ap-9725	381	9	deniz	deniz	PROPN
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ap-9725	381	12	g.	g.	PROPN
ap-9725	381	13	bueno	bueno	PROPN
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ap-9725	381	16	r.	r.	PROPN
ap-9725	381	17	sukthankar	sukthankar	PROPN
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ap-9725	382	5	using	use	VERB
ap-9725	382	6	computer	computer	NOUN
ap-9725	382	7	vision	vision	NOUN
ap-9725	382	8	techniques	technique	NOUN
ap-9725	382	9	.	.	PUNCT
ap-9725	383	1	in	in	ADP
ap-9725	383	2	computer	computer	NOUN
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ap-9725	383	5	images	image	NOUN
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ap-9725	383	7	patterns	pattern	NOUN
ap-9725	383	8	,	,	PUNCT
ap-9725	383	9	pp	pp	ADJ
ap-9725	383	10	.	.	PUNCT
ap-9725	384	1	332–339	332–339	NUM
ap-9725	384	2	.	.	PUNCT
ap-9725	384	3	springer	springer	NOUN
ap-9725	384	4	,	,	PUNCT
ap-9725	384	5	2011	2011	NUM
ap-9725	384	6	.	.	PUNCT
ap-9725	385	1	https://doi.org/10.1007/978-3-642-23678-5_39	https://doi.org/10.1007/978-3-642-23678-5_39	PUNCT
ap-9725	386	1	[	[	X
ap-9725	386	2	17	17	NUM
ap-9725	386	3	]	]	PUNCT
ap-9725	386	4	t.	t.	NOUN
ap-9725	386	5	hassner	hassner	NOUN
ap-9725	386	6	,	,	PUNCT
ap-9725	386	7	y.	y.	PROPN
ap-9725	386	8	itcher	itcher	PROPN
ap-9725	386	9	,	,	PUNCT
ap-9725	386	10	o.	o.	PROPN
ap-9725	386	11	kliper	kliper	PROPN
ap-9725	386	12	-	-	PUNCT
ap-9725	386	13	gross	gross	PROPN
ap-9725	386	14	.	.	PUNCT
ap-9725	387	1	violent	violent	ADJ
ap-9725	387	2	flows	flow	NOUN
ap-9725	387	3	:	:	PUNCT
ap-9725	387	4	real	real	ADJ
ap-9725	387	5	-	-	PUNCT
ap-9725	387	6	time	time	NOUN
ap-9725	387	7	detection	detection	NOUN
ap-9725	387	8	of	of	ADP
ap-9725	387	9	violent	violent	ADJ
ap-9725	387	10	crowd	crowd	NOUN
ap-9725	387	11	behavior	behavior	NOUN
ap-9725	387	12	.	.	PUNCT
ap-9725	388	1	in	in	ADP
ap-9725	388	2	2012	2012	NUM
ap-9725	388	3	ieee	ieee	NOUN
ap-9725	388	4	computer	computer	NOUN
ap-9725	388	5	society	society	PROPN
ap-9725	388	6	conference	conference	NOUN
ap-9725	388	7	on	on	ADP
ap-9725	388	8	computer	computer	NOUN
ap-9725	388	9	vision	vision	NOUN
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ap-9725	388	11	pattern	pattern	NOUN
ap-9725	388	12	recognition	recognition	NOUN
ap-9725	388	13	workshops	workshop	NOUN
ap-9725	388	14	,	,	PUNCT
ap-9725	388	15	pp	pp	ADV
ap-9725	388	16	.	.	PUNCT
ap-9725	389	1	1–6	1–6	NUM
ap-9725	389	2	.	.	X
ap-9725	389	3	ieee	ieee	PROPN
ap-9725	389	4	,	,	PUNCT
ap-9725	389	5	2012	2012	NUM
ap-9725	389	6	.	.	PUNCT
ap-9725	390	1	https://doi.org/10.1109/cvprw.2012.6239348	https://doi.org/10.1109/cvprw.2012.6239348	PROPN
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ap-9725	390	4	]	]	PUNCT
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ap-9725	390	6	m.	m.	PROPN
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ap-9725	390	9	m.	m.	PROPN
ap-9725	390	10	h.	h.	PROPN
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ap-9725	390	12	,	,	PUNCT
ap-9725	390	13	m.	m.	NOUN
ap-9725	390	14	a.	a.	PROPN
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ap-9725	390	16	.	.	PUNCT
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ap-9725	391	2	,	,	PUNCT
ap-9725	391	3	et	et	PROPN
ap-9725	391	4	al	al	PROPN
ap-9725	391	5	.	.	PUNCT
ap-9725	391	6	violence	violence	NOUN
ap-9725	391	7	recognition	recognition	NOUN
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ap-9725	391	9	videos	video	NOUN
ap-9725	391	10	using	use	VERB
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ap-9725	391	12	learning	learning	NOUN
ap-9725	391	13	techniques	technique	NOUN
ap-9725	391	14	.	.	PUNCT
ap-9725	392	1	in	in	ADP
ap-9725	392	2	2019	2019	NUM
ap-9725	392	3	ninth	ninth	ADJ
ap-9725	392	4	international	international	ADJ
ap-9725	392	5	conference	conference	NOUN
ap-9725	392	6	on	on	ADP
ap-9725	392	7	intelligent	intelligent	ADJ
ap-9725	392	8	computing	computing	NOUN
ap-9725	392	9	and	and	CCONJ
ap-9725	392	10	information	information	NOUN
ap-9725	392	11	systems	system	NOUN
ap-9725	392	12	(	(	PUNCT
ap-9725	392	13	icicis	icicis	NOUN
ap-9725	392	14	)	)	PUNCT
ap-9725	392	15	,	,	PUNCT
ap-9725	392	16	pp	pp	ADJ
ap-9725	392	17	.	.	PUNCT
ap-9725	393	1	80–85	80–85	NUM
ap-9725	393	2	.	.	PUNCT
ap-9725	394	1	ieee	ieee	NOUN
ap-9725	394	2	,	,	PUNCT
ap-9725	394	3	2019	2019	NUM
ap-9725	394	4	.	.	PUNCT
ap-9725	395	1	https	https	NOUN
ap-9725	395	2	:	:	PUNCT
ap-9725	395	3	//doi.org/10.1109	//doi.org/10.1109	PROPN
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ap-9725	396	2	19	19	NUM
ap-9725	396	3	]	]	PUNCT
ap-9725	396	4	m.	m.	NOUN
ap-9725	396	5	elesawy	elesawy	NOUN
ap-9725	396	6	,	,	PUNCT
ap-9725	396	7	m.	m.	NOUN
ap-9725	396	8	hussein	hussein	PROPN
ap-9725	396	9	,	,	PUNCT
ap-9725	396	10	m.	m.	PROPN
ap-9725	396	11	a.	a.	PROPN
ap-9725	396	12	e.	e.	PROPN
ap-9725	396	13	massih	massih	PROPN
ap-9725	396	14	.	.	PUNCT
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ap-9725	397	2	life	life	NOUN
ap-9725	397	3	violence	violence	NOUN
ap-9725	397	4	situations	situation	NOUN
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ap-9725	397	6	,	,	PUNCT
ap-9725	397	7	2019	2019	NUM
ap-9725	397	8	.	.	PUNCT
ap-9725	398	1	[	[	X
ap-9725	398	2	2024	2024	NUM
ap-9725	398	3	-	-	SYM
ap-9725	398	4	02	02	NUM
ap-9725	398	5	-	-	NUM
ap-9725	398	6	13	13	NUM
ap-9725	398	7	]	]	PUNCT
ap-9725	398	8	.	.	PUNCT
ap-9725	399	1	https://www.kaggle.com/datasets/mohamedmustafa/	https://www.kaggle.com/datasets/mohamedmustafa/	PROPN
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ap-9725	399	3	-	-	PUNCT
ap-9725	399	4	life	life	NOUN
ap-9725	399	5	-	-	PUNCT
ap-9725	399	6	violence	violence	NOUN
ap-9725	399	7	-	-	PUNCT
ap-9725	399	8	situations	situation	NOUN
ap-9725	399	9	-	-	PUNCT
ap-9725	399	10	dataset/	dataset/	NUM
ap-9725	399	11	[	[	SYM
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ap-9725	399	13	]	]	PUNCT
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ap-9725	399	19	,	,	PUNCT
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ap-9725	399	21	shetty	shetty	PROPN
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ap-9725	399	23	et	et	PROPN
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ap-9725	399	25	.	.	PUNCT
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ap-9725	400	2	-	-	PUNCT
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ap-9725	400	4	video	video	NOUN
ap-9725	400	5	classification	classification	NOUN
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ap-9725	400	7	convolutional	convolutional	ADJ
ap-9725	400	8	neural	neural	ADJ
ap-9725	400	9	networks	network	NOUN
ap-9725	400	10	.	.	PUNCT
ap-9725	401	1	in	in	ADP
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ap-9725	401	4	conference	conference	NOUN
ap-9725	401	5	on	on	ADP
ap-9725	401	6	computer	computer	NOUN
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ap-9725	401	11	,	,	PUNCT
ap-9725	401	12	pp	pp	X
ap-9725	401	13	.	.	PUNCT
ap-9725	402	1	1725–1732	1725–1732	NUM
ap-9725	402	2	.	.	PUNCT
ap-9725	403	1	2014	2014	NUM
ap-9725	403	2	.	.	PUNCT
ap-9725	404	1	https://doi.org/10.1109/cvpr.2014.223	https://doi.org/10.1109/cvpr.2014.223	PROPN
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ap-9725	404	4	]	]	PUNCT
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ap-9725	404	9	a.	a.	PROPN
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ap-9725	405	8	networks	network	NOUN
ap-9725	405	9	for	for	ADP
ap-9725	405	10	end	end	NOUN
ap-9725	405	11	-	-	PUNCT
ap-9725	405	12	to	to	ADP
ap-9725	405	13	-	-	PUNCT
ap-9725	405	14	end	end	NOUN
ap-9725	405	15	violence	violence	NOUN
ap-9725	405	16	detection	detection	NOUN
ap-9725	405	17	in	in	ADP
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ap-9725	405	19	.	.	PUNCT
ap-9725	406	1	in	in	ADP
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ap-9725	406	3	conference	conference	NOUN
ap-9725	406	4	on	on	ADP
ap-9725	406	5	image	image	NOUN
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ap-9725	406	9	,	,	PUNCT
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ap-9725	406	11	.	.	PUNCT
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ap-9725	407	2	.	.	PUNCT
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ap-9725	408	16	-	-	PUNCT
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ap-9725	408	20	you	you	PRON
ap-9725	408	21	need	need	VERB
ap-9725	408	22	for	for	ADP
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ap-9725	408	24	understanding	understanding	NOUN
ap-9725	408	25	?	?	PUNCT
ap-9725	409	1	in	in	ADP
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ap-9725	409	5	38th	38th	ADJ
ap-9725	409	6	international	international	ADJ
ap-9725	409	7	conference	conference	NOUN
ap-9725	409	8	on	on	ADP
ap-9725	409	9	machine	machine	NOUN
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ap-9725	409	11	,	,	PUNCT
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ap-9725	409	15	,	,	PUNCT
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ap-9725	409	17	.	.	PUNCT
ap-9725	410	1	813–824	813–824	NUM
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ap-9725	410	4	.	.	PUNCT
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ap-9725	412	7	h.	h.	PROPN
ap-9725	412	8	a.	a.	PROPN
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ap-9725	412	11	r.	r.	PROPN
ap-9725	412	12	datta	datta	PROPN
ap-9725	412	13	,	,	PUNCT
ap-9725	412	14	et	et	PROPN
ap-9725	412	15	al	al	PROPN
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ap-9725	413	2	neural	neural	ADJ
ap-9725	413	3	network	network	NOUN
ap-9725	413	4	–	–	PUNCT
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ap-9725	413	6	short	short	ADJ
ap-9725	413	7	term	term	NOUN
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ap-9725	413	12	for	for	ADP
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ap-9725	414	1	in	in	ADP
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ap-9725	414	5	conference	conference	NOUN
ap-9725	414	6	on	on	ADP
ap-9725	414	7	artificial	artificial	ADJ
ap-9725	414	8	intelligence	intelligence	NOUN
ap-9725	414	9	in	in	ADP
ap-9725	414	10	engineering	engineering	NOUN
ap-9725	414	11	and	and	CCONJ
ap-9725	414	12	technology	technology	NOUN
ap-9725	414	13	(	(	PUNCT
ap-9725	414	14	iicaiet	iicaiet	PROPN
ap-9725	414	15	)	)	PUNCT
ap-9725	414	16	,	,	PUNCT
ap-9725	414	17	pp	pp	ADJ
ap-9725	414	18	.	.	PUNCT
ap-9725	415	1	1–6	1–6	NUM
ap-9725	415	2	.	.	X
ap-9725	415	3	ieee	ieee	NOUN
ap-9725	415	4	,	,	PUNCT
ap-9725	415	5	2021	2021	NUM
ap-9725	415	6	.	.	PUNCT
ap-9725	416	1	https	https	NOUN
ap-9725	416	2	:	:	PUNCT
ap-9725	416	3	//doi.org/10.1109	//doi.org/10.1109	VERB
ap-9725	416	4	/	/	SYM
ap-9725	416	5	iicaiet51634.2021.9573691	iicaiet51634.2021.9573691	PROPN
ap-9725	417	1	[	[	X
ap-9725	417	2	24	24	NUM
ap-9725	417	3	]	]	X
ap-9725	417	4	r.	r.	PROPN
ap-9725	417	5	vijeikis	vijeikis	PROPN
ap-9725	417	6	,	,	PUNCT
ap-9725	417	7	v.	v.	CCONJ
ap-9725	417	8	raudonis	raudonis	PROPN
ap-9725	417	9	,	,	PUNCT
ap-9725	417	10	g.	g.	PROPN
ap-9725	417	11	dervinis	dervinis	PROPN
ap-9725	417	12	.	.	PUNCT
ap-9725	418	1	efficient	efficient	ADJ
ap-9725	418	2	violence	violence	NOUN
ap-9725	418	3	detection	detection	NOUN
ap-9725	418	4	in	in	ADP
ap-9725	418	5	surveillance	surveillance	NOUN
ap-9725	418	6	.	.	PUNCT
ap-9725	419	1	sensors	sensor	NOUN
ap-9725	419	2	22(6):2216	22(6):2216	NUM
ap-9725	419	3	,	,	PUNCT
ap-9725	419	4	2022	2022	NUM
ap-9725	419	5	.	.	PUNCT
ap-9725	420	1	https://doi.org/10.3390/s22062216	https://doi.org/10.3390/s22062216	NUM
ap-9725	420	2	319	319	NUM
ap-9725	420	3	https://doi.org/10.1109/avss.2017.8078468	https://doi.org/10.1109/avss.2017.8078468	PROPN
ap-9725	420	4	https://doi.org/10.1109/tip.2018.2845742	https://doi.org/10.1109/tip.2018.2845742	NOUN
ap-9725	420	5	https://doi.org/10.1049/el.2017.0970	https://doi.org/10.1049/el.2017.0970	PROPN
ap-9725	420	6	https://doi.org/10.1155/2018/7068349	https://doi.org/10.1155/2018/7068349	PROPN
ap-9725	421	1	https://doi.org/10.1109/ijcnn.2017.7965890	https://doi.org/10.1109/ijcnn.2017.7965890	PROPN
ap-9725	421	2	https://doi.org/10.1088/1742-6596/844/1/012044	https://doi.org/10.1088/1742-6596/844/1/012044	PROPN
ap-9725	421	3	https://doi.org/10.1109/cvprw.2009.5206848	https://doi.org/10.1109/cvprw.2009.5206848	PROPN
ap-9725	421	4	https://doi.org/10.1109/dsaa.2016.92	https://doi.org/10.1109/dsaa.2016.92	PROPN
ap-9725	421	5	https://doi.org/10.1007/978-3-642-23678-5_39	https://doi.org/10.1007/978-3-642-23678-5_39	PROPN
ap-9725	422	1	https://doi.org/10.1109/cvprw.2012.6239348	https://doi.org/10.1109/cvprw.2012.6239348	PROPN
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ap-9725	422	3	https://doi.org/10.1109/icicis46948.2019.9014714	https://doi.org/10.1109/icicis46948.2019.9014714	PROPN
ap-9725	422	4	https://www.kaggle.com/datasets/mohamedmustafa/real-life-violence-situations-dataset/	https://www.kaggle.com/datasets/mohamedmustafa/real-life-violence-situations-dataset/	PROPN
ap-9725	422	5	https://www.kaggle.com/datasets/mohamedmustafa/real-life-violence-situations-dataset/	https://www.kaggle.com/datasets/mohamedmustafa/real-life-violence-situations-dataset/	PROPN
ap-9725	422	6	https://doi.org/10.1109/cvpr.2014.223	https://doi.org/10.1109/cvpr.2014.223	PROPN
ap-9725	422	7	https://doi.org/10.1007/978-3-030-50347-5_14	https://doi.org/10.1007/978-3-030-50347-5_14	PROPN
ap-9725	422	8	https://doi.org/10.48550/arxiv.2102.05095	https://doi.org/10.48550/arxiv.2102.05095	PROPN
ap-9725	422	9	https://doi.org/10.1109/iicaiet51634.2021.9573691	https://doi.org/10.1109/iicaiet51634.2021.9573691	ADJ
ap-9725	422	10	https://doi.org/10.1109/iicaiet51634.2021.9573691	https://doi.org/10.1109/iicaiet51634.2021.9573691	PROPN
ap-9725	422	11	https://doi.org/10.3390/s22062216	https://doi.org/10.3390/s22062216	NUM
ap-9725	422	12	acta	acta	PROPN
ap-9725	422	13	polytechnica	polytechnica	PROPN
ap-9725	422	14	65(3):306–319	65(3):306–319	PROPN
ap-9725	422	15	,	,	PUNCT
ap-9725	422	16	2025	2025	NUM
ap-9725	422	17	1	1	NUM
ap-9725	422	18	introduction	introduction	NOUN
ap-9725	422	19	2	2	NUM
ap-9725	422	20	related	relate	VERB
ap-9725	422	21	work	work	NOUN
ap-9725	422	22	3	3	NUM
ap-9725	422	23	materials	material	NOUN
ap-9725	422	24	and	and	CCONJ
ap-9725	422	25	methods	method	NOUN
ap-9725	422	26	3.1	3.1	NUM
ap-9725	422	27	datasets	dataset	NOUN
ap-9725	422	28	3.2	3.2	NUM
ap-9725	422	29	preprocessing	preprocesse	VERB
ap-9725	422	30	3.3	3.3	NUM
ap-9725	422	31	temporal	temporal	ADJ
ap-9725	422	32	fusion	fusion	NOUN
ap-9725	422	33	3.4	3.4	NUM
ap-9725	422	34	methodology	methodology	NOUN
ap-9725	422	35	3.4.1	3.4.1	NUM
ap-9725	422	36	proposed	propose	VERB
ap-9725	422	37	model	model	NOUN
ap-9725	422	38	3.5	3.5	NUM
ap-9725	422	39	simulation	simulation	NOUN
ap-9725	422	40	parameters	parameter	NOUN
ap-9725	422	41	3.6	3.6	NUM
ap-9725	422	42	performance	performance	NOUN
ap-9725	422	43	evaluation	evaluation	NOUN
ap-9725	422	44	4	4	NUM
ap-9725	422	45	results	result	NOUN
ap-9725	422	46	and	and	CCONJ
ap-9725	422	47	discussion	discussion	NOUN
ap-9725	422	48	4.1	4.1	NUM
ap-9725	422	49	late	late	ADJ
ap-9725	422	50	fusion	fusion	NOUN
ap-9725	422	51	4.2	4.2	NUM
ap-9725	422	52	early	early	ADJ
ap-9725	422	53	fusion	fusion	NOUN
ap-9725	422	54	4.3	4.3	NUM
ap-9725	422	55	slow	slow	ADJ
ap-9725	422	56	fusion	fusion	NOUN
ap-9725	422	57	4.4	4.4	NUM
ap-9725	422	58	comparison	comparison	NOUN
ap-9725	422	59	with	with	ADP
ap-9725	422	60	related	related	ADJ
ap-9725	422	61	works	work	NOUN
ap-9725	422	62	5	5	NUM
ap-9725	422	63	conclusions	conclusion	NOUN
ap-9725	422	64	and	and	CCONJ
ap-9725	422	65	future	future	ADJ
ap-9725	422	66	work	work	NOUN
ap-9725	422	67	acknowledgements	acknowledgement	NOUN
ap-9725	422	68	references	reference	NOUN