id	sid	tid	token	lemma	pos
ap-326	1	1	ap02_02.vp	ap02_02.vp	PROPN
ap-326	1	2	1	1	NUM
ap-326	1	3	introduction	introduction	NOUN
ap-326	1	4	video	video	NOUN
ap-326	1	5	image	image	NOUN
ap-326	1	6	compression	compression	NOUN
ap-326	1	7	plays	play	VERB
ap-326	1	8	an	an	DET
ap-326	1	9	important	important	ADJ
ap-326	1	10	role	role	NOUN
ap-326	1	11	in	in	ADP
ap-326	1	12	transmission	transmission	NOUN
ap-326	1	13	and	and	CCONJ
ap-326	1	14	storage	storage	NOUN
ap-326	1	15	of	of	ADP
ap-326	1	16	digital	digital	ADJ
ap-326	1	17	video	video	NOUN
ap-326	1	18	data	datum	NOUN
ap-326	1	19	.	.	PUNCT
ap-326	2	1	the	the	DET
ap-326	2	2	applications	application	NOUN
ap-326	2	3	include	include	VERB
ap-326	2	4	multimedia	multimedia	NOUN
ap-326	2	5	transmission	transmission	NOUN
ap-326	2	6	,	,	PUNCT
ap-326	2	7	teleconferencing	teleconferencing	NOUN
ap-326	2	8	,	,	PUNCT
ap-326	2	9	videophones	videophone	NOUN
ap-326	2	10	,	,	PUNCT
ap-326	2	11	high	high	ADJ
ap-326	2	12	-	-	PUNCT
ap-326	2	13	definition	definition	NOUN
ap-326	2	14	television	television	NOUN
ap-326	2	15	(	(	PUNCT
ap-326	2	16	hdtv	hdtv	NOUN
ap-326	2	17	)	)	PUNCT
ap-326	2	18	,	,	PUNCT
ap-326	2	19	cd	cd	PROPN
ap-326	2	20	-	-	PUNCT
ap-326	2	21	rom	rom	NOUN
ap-326	2	22	storage	storage	NOUN
ap-326	2	23	,	,	PUNCT
ap-326	2	24	etc	etc	X
ap-326	2	25	.	.	X
ap-326	3	1	a	a	DET
ap-326	3	2	large	large	ADJ
ap-326	3	3	body	body	NOUN
ap-326	3	4	of	of	ADP
ap-326	3	5	work	work	NOUN
ap-326	3	6	in	in	ADP
ap-326	3	7	image	image	NOUN
ap-326	3	8	/	/	SYM
ap-326	3	9	video	video	NOUN
ap-326	3	10	processing	processing	NOUN
ap-326	3	11	has	have	AUX
ap-326	3	12	involved	involve	VERB
ap-326	3	13	motion	motion	NOUN
ap-326	3	14	estimation	estimation	NOUN
ap-326	3	15	[	[	X
ap-326	3	16	1	1	NUM
ap-326	3	17	]	]	PUNCT
ap-326	3	18	and	and	CCONJ
ap-326	3	19	[	[	X
ap-326	3	20	6	6	NUM
ap-326	3	21	]	]	PUNCT
ap-326	3	22	.	.	PUNCT
ap-326	4	1	applications	application	NOUN
ap-326	4	2	of	of	ADP
ap-326	4	3	motion	motion	NOUN
ap-326	4	4	estimation	estimation	NOUN
ap-326	4	5	exist	exist	VERB
ap-326	4	6	in	in	ADP
ap-326	4	7	image	image	NOUN
ap-326	4	8	sequence	sequence	NOUN
ap-326	4	9	filtering	filtering	NOUN
ap-326	4	10	and	and	CCONJ
ap-326	4	11	restorations	restoration	NOUN
ap-326	4	12	,	,	PUNCT
ap-326	4	13	video	video	NOUN
ap-326	4	14	coding	coding	NOUN
ap-326	4	15	,	,	PUNCT
ap-326	4	16	target	target	NOUN
ap-326	4	17	tracking	tracking	NOUN
ap-326	4	18	,	,	PUNCT
ap-326	4	19	robot	robot	NOUN
ap-326	4	20	navigation	navigation	NOUN
ap-326	4	21	,	,	PUNCT
ap-326	4	22	monitoring	monitoring	NOUN
ap-326	4	23	and	and	CCONJ
ap-326	4	24	surveillance	surveillance	NOUN
ap-326	4	25	,	,	PUNCT
ap-326	4	26	biomedical	biomedical	ADJ
ap-326	4	27	problems	problem	NOUN
ap-326	4	28	,	,	PUNCT
ap-326	4	29	and	and	CCONJ
ap-326	4	30	the	the	DET
ap-326	4	31	human	human	ADJ
ap-326	4	32	-	-	PUNCT
ap-326	4	33	computer	computer	NOUN
ap-326	4	34	interface	interface	NOUN
ap-326	4	35	.	.	PUNCT
ap-326	5	1	the	the	DET
ap-326	5	2	most	most	ADV
ap-326	5	3	effective	effective	ADJ
ap-326	5	4	technique	technique	NOUN
ap-326	5	5	for	for	ADP
ap-326	5	6	motion	motion	NOUN
ap-326	5	7	estimation	estimation	NOUN
ap-326	5	8	makes	make	VERB
ap-326	5	9	use	use	NOUN
ap-326	5	10	of	of	ADP
ap-326	5	11	block	block	NOUN
ap-326	5	12	matching	matching	NOUN
ap-326	5	13	algorithms	algorithm	NOUN
ap-326	5	14	(	(	PUNCT
ap-326	5	15	bma	bma	PROPN
ap-326	5	16	)	)	PUNCT
ap-326	5	17	.	.	PUNCT
ap-326	6	1	the	the	DET
ap-326	6	2	full	full	ADJ
ap-326	6	3	search	search	NOUN
ap-326	6	4	algorithm	algorithm	NOUN
ap-326	6	5	(	(	PUNCT
ap-326	6	6	fs	fs	PROPN
ap-326	6	7	)	)	PUNCT
ap-326	6	8	is	be	AUX
ap-326	6	9	the	the	DET
ap-326	6	10	most	most	ADV
ap-326	6	11	obvious	obvious	ADJ
ap-326	6	12	candidate	candidate	NOUN
ap-326	6	13	for	for	ADP
ap-326	6	14	a	a	DET
ap-326	6	15	search	search	NOUN
ap-326	6	16	technique	technique	NOUN
ap-326	6	17	for	for	ADP
ap-326	6	18	finding	find	VERB
ap-326	6	19	the	the	DET
ap-326	6	20	best	good	ADJ
ap-326	6	21	possible	possible	ADJ
ap-326	6	22	weight	weight	NOUN
ap-326	6	23	in	in	ADP
ap-326	6	24	the	the	DET
ap-326	6	25	search	search	NOUN
ap-326	6	26	area	area	NOUN
ap-326	6	27	.	.	PUNCT
ap-326	7	1	kago	kago	PROPN
ap-326	7	2	et	et	PROPN
ap-326	7	3	al	al	PROPN
ap-326	8	1	[	[	X
ap-326	8	2	7	7	NUM
ap-326	8	3	]	]	PUNCT
ap-326	8	4	use	use	NOUN
ap-326	8	5	a	a	DET
ap-326	8	6	three	three	NUM
ap-326	8	7	-	-	PUNCT
ap-326	8	8	step	step	NOUN
ap-326	8	9	motion	motion	NOUN
ap-326	8	10	vector	vector	NOUN
ap-326	8	11	search	search	NOUN
ap-326	8	12	(	(	PUNCT
ap-326	8	13	tss	tss	NOUN
ap-326	8	14	)	)	PUNCT
ap-326	8	15	to	to	PART
ap-326	8	16	compute	compute	VERB
ap-326	8	17	displacements	displacement	NOUN
ap-326	8	18	up	up	ADP
ap-326	8	19	to	to	PART
ap-326	8	20	6	6	NUM
ap-326	8	21	pel	pel	NOUN
ap-326	8	22	/	/	SYM
ap-326	8	23	frame	frame	NOUN
ap-326	8	24	.	.	PUNCT
ap-326	9	1	this	this	DET
ap-326	9	2	method	method	NOUN
ap-326	9	3	,	,	PUNCT
ap-326	9	4	for	for	ADP
ap-326	9	5	w	w	PROPN
ap-326	9	6	�	�	PROPN
ap-326	9	7	6	6	NUM
ap-326	9	8	pel	pel	NOUN
ap-326	9	9	/	/	SYM
ap-326	9	10	frame	frame	NOUN
ap-326	9	11	,	,	PUNCT
ap-326	9	12	searches	search	VERB
ap-326	9	13	25	25	NUM
ap-326	9	14	positions	position	NOUN
ap-326	9	15	to	to	PART
ap-326	9	16	locate	locate	VERB
ap-326	9	17	the	the	DET
ap-326	9	18	best	good	ADJ
ap-326	9	19	match	match	NOUN
ap-326	9	20	.	.	PUNCT
ap-326	10	1	the	the	DET
ap-326	10	2	three	three	NUM
ap-326	10	3	-	-	PUNCT
ap-326	10	4	step	step	NOUN
ap-326	10	5	search	search	NOUN
ap-326	10	6	(	(	PUNCT
ap-326	10	7	tss	tss	NOUN
ap-326	10	8	)	)	PUNCT
ap-326	10	9	algorithm	algorithm	NOUN
ap-326	10	10	is	be	AUX
ap-326	10	11	one	one	NUM
ap-326	10	12	of	of	ADP
ap-326	10	13	the	the	DET
ap-326	10	14	best	good	ADJ
ap-326	10	15	fast	fast	ADJ
ap-326	10	16	search	search	NOUN
ap-326	10	17	algorithms	algorithm	NOUN
ap-326	10	18	,	,	PUNCT
ap-326	10	19	and	and	CCONJ
ap-326	10	20	provides	provide	VERB
ap-326	10	21	a	a	DET
ap-326	10	22	good	good	ADJ
ap-326	10	23	estimation	estimation	NOUN
ap-326	10	24	.	.	PUNCT
ap-326	11	1	to	to	PART
ap-326	11	2	reduce	reduce	VERB
ap-326	11	3	the	the	DET
ap-326	11	4	computational	computational	ADJ
ap-326	11	5	complexity	complexity	NOUN
ap-326	11	6	,	,	PUNCT
ap-326	11	7	hierarchical	hierarchical	ADJ
ap-326	11	8	and	and	CCONJ
ap-326	11	9	multi	multi	ADJ
ap-326	11	10	-	-	ADJ
ap-326	11	11	resolution	resolution	ADJ
ap-326	11	12	fast	fast	ADJ
ap-326	11	13	block	block	NOUN
ap-326	11	14	matching	matching	NOUN
ap-326	11	15	is	be	AUX
ap-326	11	16	used	use	VERB
ap-326	11	17	.	.	PUNCT
ap-326	12	1	one	one	NUM
ap-326	12	2	family	family	NOUN
ap-326	12	3	of	of	ADP
ap-326	12	4	fast	fast	ADJ
ap-326	12	5	block	block	NOUN
ap-326	12	6	motion	motion	NOUN
ap-326	12	7	estimation	estimation	NOUN
ap-326	12	8	algorithms	algorithm	NOUN
ap-326	12	9	relies	rely	VERB
ap-326	12	10	on	on	ADP
ap-326	12	11	the	the	DET
ap-326	12	12	idea	idea	NOUN
ap-326	12	13	of	of	ADP
ap-326	12	14	predicting	predict	VERB
ap-326	12	15	the	the	DET
ap-326	12	16	approximate	approximate	ADJ
ap-326	12	17	large	large	ADJ
ap-326	12	18	-	-	PUNCT
ap-326	12	19	scale	scale	NOUN
ap-326	12	20	motion	motion	NOUN
ap-326	12	21	vectors	vector	NOUN
ap-326	12	22	in	in	ADP
ap-326	12	23	the	the	DET
ap-326	12	24	coarse	coarse	ADJ
ap-326	12	25	-	-	PUNCT
ap-326	12	26	resolution	resolution	NOUN
ap-326	12	27	video	video	NOUN
ap-326	12	28	and	and	CCONJ
ap-326	12	29	refining	refine	VERB
ap-326	12	30	the	the	DET
ap-326	12	31	prediction	prediction	NOUN
ap-326	12	32	motion	motion	NOUN
ap-326	12	33	vectors	vector	NOUN
ap-326	12	34	to	to	PART
ap-326	12	35	find	find	VERB
ap-326	12	36	the	the	DET
ap-326	12	37	final	final	ADJ
ap-326	12	38	values	value	NOUN
ap-326	12	39	.	.	PUNCT
ap-326	13	1	these	these	PRON
ap-326	13	2	are	be	AUX
ap-326	13	3	called	call	VERB
ap-326	13	4	hierarchical	hierarchical	ADJ
ap-326	13	5	[	[	X
ap-326	13	6	5	5	NUM
ap-326	13	7	]	]	PUNCT
ap-326	13	8	,	,	PUNCT
ap-326	13	9	[	[	X
ap-326	13	10	2	2	NUM
ap-326	13	11	]	]	PUNCT
ap-326	13	12	or	or	CCONJ
ap-326	13	13	multi	multi	ADJ
ap-326	13	14	-	-	ADJ
ap-326	13	15	resolution	resolution	ADJ
ap-326	13	16	methods	method	NOUN
ap-326	13	17	[	[	X
ap-326	13	18	3	3	NUM
ap-326	13	19	]	]	PUNCT
ap-326	13	20	and	and	CCONJ
ap-326	14	1	[	[	X
ap-326	14	2	4	4	NUM
ap-326	14	3	]	]	PUNCT
ap-326	14	4	.	.	PUNCT
ap-326	15	1	hierarchical	hierarchical	ADJ
ap-326	15	2	methods	method	NOUN
ap-326	15	3	use	use	VERB
ap-326	15	4	the	the	DET
ap-326	15	5	same	same	ADJ
ap-326	15	6	image	image	NOUN
ap-326	15	7	size	size	NOUN
ap-326	15	8	but	but	CCONJ
ap-326	15	9	different	different	ADJ
ap-326	15	10	block	block	NOUN
ap-326	15	11	sizes	size	NOUN
ap-326	15	12	at	at	ADP
ap-326	15	13	each	each	DET
ap-326	15	14	level	level	NOUN
ap-326	15	15	.	.	PUNCT
ap-326	16	1	multi	multi	ADJ
ap-326	16	2	-	-	ADJ
ap-326	16	3	resolution	resolution	ADJ
ap-326	16	4	methods	method	NOUN
ap-326	16	5	use	use	VERB
ap-326	16	6	different	different	ADJ
ap-326	16	7	image	image	NOUN
ap-326	16	8	resolutions	resolution	NOUN
ap-326	16	9	with	with	ADP
ap-326	16	10	a	a	DET
ap-326	16	11	smaller	small	ADJ
ap-326	16	12	image	image	NOUN
ap-326	16	13	size	size	NOUN
ap-326	16	14	at	at	ADP
ap-326	16	15	a	a	DET
ap-326	16	16	coarser	coarse	ADJ
ap-326	16	17	level	level	NOUN
ap-326	16	18	.	.	PUNCT
ap-326	17	1	the	the	DET
ap-326	17	2	wavelet	wavelet	NOUN
ap-326	17	3	transform	transform	NOUN
ap-326	17	4	has	have	AUX
ap-326	17	5	recently	recently	ADV
ap-326	17	6	emerged	emerge	VERB
ap-326	17	7	as	as	ADP
ap-326	17	8	a	a	DET
ap-326	17	9	promising	promising	ADJ
ap-326	17	10	technique	technique	NOUN
ap-326	17	11	for	for	ADP
ap-326	17	12	image	image	NOUN
ap-326	17	13	processing	processing	NOUN
ap-326	17	14	applications	application	NOUN
ap-326	17	15	,	,	PUNCT
ap-326	17	16	due	due	ADP
ap-326	17	17	to	to	ADP
ap-326	17	18	its	its	PRON
ap-326	17	19	flexibility	flexibility	NOUN
ap-326	17	20	in	in	ADP
ap-326	17	21	representing	represent	VERB
ap-326	17	22	non	non	ADJ
ap-326	17	23	-	-	ADJ
ap-326	17	24	stationary	stationary	ADJ
ap-326	17	25	image	image	NOUN
ap-326	17	26	signals	signal	NOUN
ap-326	17	27	,	,	PUNCT
ap-326	17	28	and	and	CCONJ
ap-326	17	29	its	its	PRON
ap-326	17	30	ability	ability	NOUN
ap-326	17	31	in	in	ADP
ap-326	17	32	adapting	adapt	VERB
ap-326	17	33	to	to	ADP
ap-326	17	34	human	human	ADJ
ap-326	17	35	visual	visual	ADJ
ap-326	17	36	characteristics	characteristic	NOUN
ap-326	17	37	.	.	PUNCT
ap-326	18	1	zhang	zhang	PROPN
ap-326	18	2	and	and	CCONJ
ap-326	18	3	zafar	zafar	PROPN
ap-326	19	1	[	[	X
ap-326	19	2	8	8	NUM
ap-326	19	3	]	]	PUNCT
ap-326	19	4	applied	apply	VERB
ap-326	19	5	wavelet	wavelet	NOUN
ap-326	19	6	theory	theory	NOUN
ap-326	19	7	to	to	ADP
ap-326	19	8	real	real	ADJ
ap-326	19	9	-	-	PUNCT
ap-326	19	10	time	time	NOUN
ap-326	19	11	video	video	NOUN
ap-326	19	12	compression	compression	NOUN
ap-326	19	13	,	,	PUNCT
ap-326	19	14	and	and	CCONJ
ap-326	19	15	proposed	propose	VERB
ap-326	19	16	multi	multi	ADJ
ap-326	19	17	-	-	ADJ
ap-326	19	18	resolution	resolution	ADJ
ap-326	19	19	motion	motion	NOUN
ap-326	19	20	estimation	estimation	NOUN
ap-326	19	21	(	(	PUNCT
ap-326	19	22	mrme	mrme	ADJ
ap-326	19	23	)	)	PUNCT
ap-326	19	24	.	.	PUNCT
ap-326	20	1	this	this	DET
ap-326	20	2	scheme	scheme	NOUN
ap-326	20	3	exploits	exploit	VERB
ap-326	20	4	the	the	DET
ap-326	20	5	cross	cross	NOUN
ap-326	20	6	correlation	correlation	NOUN
ap-326	20	7	among	among	ADP
ap-326	20	8	all	all	DET
ap-326	20	9	layers	layer	NOUN
ap-326	20	10	of	of	ADP
ap-326	20	11	the	the	DET
ap-326	20	12	wavelet	wavelet	NOUN
ap-326	20	13	pyramid	pyramid	NOUN
ap-326	20	14	structure	structure	NOUN
ap-326	20	15	in	in	ADP
ap-326	20	16	order	order	NOUN
ap-326	20	17	to	to	PART
ap-326	20	18	reduce	reduce	VERB
ap-326	20	19	the	the	DET
ap-326	20	20	computational	computational	ADJ
ap-326	20	21	complexity	complexity	NOUN
ap-326	20	22	of	of	ADP
ap-326	20	23	the	the	DET
ap-326	20	24	motion	motion	NOUN
ap-326	20	25	estimation	estimation	NOUN
ap-326	20	26	process	process	NOUN
ap-326	20	27	.	.	PUNCT
ap-326	21	1	we	we	PRON
ap-326	21	2	present	present	VERB
ap-326	21	3	a	a	DET
ap-326	21	4	novel	novel	ADJ
ap-326	21	5	multi	multi	ADJ
ap-326	21	6	-	-	ADJ
ap-326	21	7	resolution	resolution	ADJ
ap-326	21	8	variable	variable	ADJ
ap-326	21	9	block	block	NOUN
ap-326	21	10	size	size	NOUN
ap-326	21	11	algorithm	algorithm	NOUN
ap-326	21	12	(	(	PUNCT
ap-326	21	13	mrvbs	mrvbs	X
ap-326	21	14	)	)	PUNCT
ap-326	21	15	based	base	VERB
ap-326	21	16	on	on	ADP
ap-326	21	17	wavelet	wavelet	NOUN
ap-326	21	18	decomposition	decomposition	NOUN
ap-326	21	19	.	.	PUNCT
ap-326	22	1	the	the	DET
ap-326	22	2	approach	approach	NOUN
ap-326	22	3	presented	present	VERB
ap-326	22	4	in	in	ADP
ap-326	22	5	this	this	DET
ap-326	22	6	paper	paper	NOUN
ap-326	22	7	provides	provide	VERB
ap-326	22	8	an	an	DET
ap-326	22	9	accurate	accurate	ADJ
ap-326	22	10	motion	motion	NOUN
ap-326	22	11	estimate	estimate	NOUN
ap-326	22	12	even	even	ADV
ap-326	22	13	in	in	ADP
ap-326	22	14	the	the	DET
ap-326	22	15	presence	presence	NOUN
ap-326	22	16	of	of	ADP
ap-326	22	17	noise	noise	NOUN
ap-326	22	18	.	.	PUNCT
ap-326	23	1	we	we	PRON
ap-326	23	2	utilize	utilize	VERB
ap-326	23	3	a	a	DET
ap-326	23	4	wavelet	wavelet	NOUN
ap-326	23	5	component	component	NOUN
ap-326	23	6	of	of	ADP
ap-326	23	7	the	the	DET
ap-326	23	8	seven	seven	NUM
ap-326	23	9	sub	sub	NOUN
ap-326	23	10	-	-	NOUN
ap-326	23	11	bands	band	NOUN
ap-326	23	12	from	from	ADP
ap-326	23	13	two	two	NUM
ap-326	23	14	layers	layer	NOUN
ap-326	23	15	of	of	ADP
ap-326	23	16	a	a	DET
ap-326	23	17	wavelet	wavelet	NOUN
ap-326	23	18	pyramid	pyramid	NOUN
ap-326	23	19	in	in	ADP
ap-326	23	20	the	the	DET
ap-326	23	21	lowest	low	ADJ
ap-326	23	22	resolution	resolution	NOUN
ap-326	23	23	.	.	PUNCT
ap-326	24	1	in	in	ADP
ap-326	24	2	each	each	DET
ap-326	24	3	sub	sub	NOUN
ap-326	24	4	-	-	NOUN
ap-326	24	5	band	band	NOUN
ap-326	24	6	we	we	PRON
ap-326	24	7	perform	perform	VERB
ap-326	24	8	the	the	DET
ap-326	24	9	block	block	NOUN
ap-326	24	10	matching	matching	NOUN
ap-326	24	11	estimation	estimation	NOUN
ap-326	24	12	within	within	ADP
ap-326	24	13	a	a	DET
ap-326	24	14	nine	nine	NUM
ap-326	24	15	-	-	PUNCT
ap-326	24	16	block	block	NOUN
ap-326	24	17	only	only	ADV
ap-326	24	18	.	.	PUNCT
ap-326	25	1	the	the	DET
ap-326	25	2	simulation	simulation	NOUN
ap-326	25	3	results	result	NOUN
ap-326	25	4	are	be	AUX
ap-326	25	5	analyzed	analyze	VERB
ap-326	25	6	to	to	PART
ap-326	25	7	assess	assess	VERB
ap-326	25	8	the	the	DET
ap-326	25	9	proposed	propose	VERB
ap-326	25	10	algorithm	algorithm	NOUN
ap-326	25	11	with	with	ADP
ap-326	25	12	and	and	CCONJ
ap-326	25	13	without	without	ADP
ap-326	25	14	influence	influence	NOUN
ap-326	25	15	of	of	ADP
ap-326	25	16	noise	noise	NOUN
ap-326	25	17	.	.	PUNCT
ap-326	26	1	noise	noise	NOUN
ap-326	26	2	in	in	ADP
ap-326	26	3	a	a	DET
ap-326	26	4	sequence	sequence	NOUN
ap-326	26	5	not	not	PART
ap-326	26	6	only	only	ADV
ap-326	26	7	degrades	degrade	VERB
ap-326	26	8	the	the	DET
ap-326	26	9	visual	visual	ADJ
ap-326	26	10	quality	quality	NOUN
ap-326	26	11	,	,	PUNCT
ap-326	26	12	but	but	CCONJ
ap-326	26	13	also	also	ADV
ap-326	26	14	hinders	hinder	VERB
ap-326	26	15	the	the	DET
ap-326	26	16	subsequent	subsequent	ADJ
ap-326	26	17	analysis	analysis	NOUN
ap-326	26	18	and	and	CCONJ
ap-326	26	19	processing	processing	NOUN
ap-326	26	20	(	(	PUNCT
ap-326	26	21	e.g.	e.g.	ADV
ap-326	26	22	,	,	PUNCT
ap-326	26	23	compression	compression	NOUN
ap-326	26	24	,	,	PUNCT
ap-326	26	25	estimation	estimation	NOUN
ap-326	26	26	and	and	CCONJ
ap-326	26	27	coding	coding	NOUN
ap-326	26	28	)	)	PUNCT
ap-326	26	29	.	.	PUNCT
ap-326	27	1	the	the	DET
ap-326	27	2	problem	problem	NOUN
ap-326	27	3	of	of	ADP
ap-326	27	4	removing	remove	VERB
ap-326	27	5	noise	noise	NOUN
ap-326	27	6	from	from	ADP
ap-326	27	7	image	image	NOUN
ap-326	27	8	sequences	sequence	NOUN
ap-326	27	9	has	have	AUX
ap-326	27	10	attracted	attract	VERB
ap-326	27	11	a	a	DET
ap-326	27	12	number	number	NOUN
ap-326	27	13	of	of	ADP
ap-326	27	14	researchers	researcher	NOUN
ap-326	27	15	.	.	PUNCT
ap-326	28	1	however	however	ADV
ap-326	28	2	,	,	PUNCT
ap-326	28	3	the	the	DET
ap-326	28	4	noise	noise	NOUN
ap-326	28	5	can	can	AUX
ap-326	28	6	not	not	PART
ap-326	28	7	be	be	AUX
ap-326	28	8	completely	completely	ADV
ap-326	28	9	removed	remove	VERB
ap-326	28	10	from	from	ADP
ap-326	28	11	the	the	DET
ap-326	28	12	image	image	NOUN
ap-326	28	13	sequences	sequence	NOUN
ap-326	28	14	.	.	PUNCT
ap-326	29	1	this	this	DET
ap-326	29	2	paper	paper	NOUN
ap-326	29	3	is	be	AUX
ap-326	29	4	organized	organize	VERB
ap-326	29	5	as	as	SCONJ
ap-326	29	6	follows	follow	VERB
ap-326	29	7	.	.	PUNCT
ap-326	30	1	in	in	ADP
ap-326	30	2	section	section	NOUN
ap-326	30	3	2	2	NUM
ap-326	30	4	,	,	PUNCT
ap-326	30	5	the	the	DET
ap-326	30	6	proposed	propose	VERB
ap-326	30	7	algorithm	algorithm	NOUN
ap-326	30	8	based	base	VERB
ap-326	30	9	on	on	ADP
ap-326	30	10	wavelet	wavelet	NOUN
ap-326	30	11	decomposition	decomposition	NOUN
ap-326	30	12	is	be	AUX
ap-326	30	13	briefly	briefly	ADV
ap-326	30	14	described	describe	VERB
ap-326	30	15	.	.	PUNCT
ap-326	31	1	section	section	NOUN
ap-326	31	2	3	3	NUM
ap-326	31	3	presents	present	NOUN
ap-326	31	4	simulation	simulation	NOUN
ap-326	31	5	results	result	NOUN
ap-326	31	6	of	of	ADP
ap-326	31	7	the	the	DET
ap-326	31	8	new	new	ADJ
ap-326	31	9	algorithm	algorithm	NOUN
ap-326	31	10	without	without	ADP
ap-326	31	11	influence	influence	NOUN
ap-326	31	12	of	of	ADP
ap-326	31	13	noise	noise	NOUN
ap-326	31	14	.	.	PUNCT
ap-326	32	1	section	section	NOUN
ap-326	32	2	4	4	NUM
ap-326	32	3	presents	present	NOUN
ap-326	32	4	simulation	simulation	NOUN
ap-326	32	5	results	result	VERB
ap-326	32	6	under	under	ADP
ap-326	32	7	the	the	DET
ap-326	32	8	influence	influence	NOUN
ap-326	32	9	of	of	ADP
ap-326	32	10	a	a	DET
ap-326	32	11	single	single	ADJ
ap-326	32	12	noise	noise	NOUN
ap-326	32	13	and	and	CCONJ
ap-326	32	14	mixed	mixed	ADJ
ap-326	32	15	noise	noise	NOUN
ap-326	32	16	.	.	PUNCT
ap-326	33	1	a	a	DET
ap-326	33	2	few	few	ADJ
ap-326	33	3	concluding	concluding	NOUN
ap-326	33	4	remarks	remark	NOUN
ap-326	33	5	are	be	AUX
ap-326	33	6	given	give	VERB
ap-326	33	7	in	in	ADP
ap-326	33	8	section	section	NOUN
ap-326	33	9	5	5	NUM
ap-326	33	10	.	.	SYM
ap-326	33	11	2	2	NUM
ap-326	33	12	the	the	DET
ap-326	33	13	proposed	propose	VERB
ap-326	33	14	algorithm	algorithm	NOUN
ap-326	33	15	fig	fig	NOUN
ap-326	33	16	.	.	PUNCT
ap-326	34	1	1	1	NUM
ap-326	34	2	sets	set	VERB
ap-326	34	3	out	out	ADP
ap-326	34	4	the	the	DET
ap-326	34	5	structure	structure	NOUN
ap-326	34	6	of	of	ADP
ap-326	34	7	the	the	DET
ap-326	34	8	algorithm	algorithm	NOUN
ap-326	34	9	.	.	PUNCT
ap-326	35	1	the	the	DET
ap-326	35	2	mrvbs	mrvbs	ADJ
ap-326	35	3	algorithm	algorithm	NOUN
ap-326	35	4	is	be	AUX
ap-326	35	5	summarized	summarize	VERB
ap-326	35	6	as	as	SCONJ
ap-326	35	7	follows	follow	VERB
ap-326	35	8	:	:	PUNCT
ap-326	35	9	step	step	NOUN
ap-326	35	10	1	1	NUM
ap-326	35	11	:	:	PUNCT
ap-326	35	12	to	to	PART
ap-326	35	13	begin	begin	VERB
ap-326	35	14	the	the	DET
ap-326	35	15	motion	motion	NOUN
ap-326	35	16	vectors	vector	NOUN
ap-326	35	17	estimation	estimation	NOUN
ap-326	35	18	process	process	NOUN
ap-326	35	19	,	,	PUNCT
ap-326	35	20	the	the	DET
ap-326	35	21	original	original	ADJ
ap-326	35	22	image	image	NOUN
ap-326	35	23	frame	frame	NOUN
ap-326	35	24	is	be	AUX
ap-326	35	25	decomposed	decompose	VERB
ap-326	35	26	into	into	ADP
ap-326	35	27	two	two	NUM
ap-326	35	28	layers	layer	NOUN
ap-326	35	29	using	use	VERB
ap-326	35	30	the	the	DET
ap-326	35	31	two	two	NUM
ap-326	35	32	-	-	PUNCT
ap-326	35	33	dimensional	dimensional	ADJ
ap-326	35	34	discrete	discrete	ADJ
ap-326	35	35	wavelet	wavelet	NOUN
ap-326	35	36	transform	transform	NOUN
ap-326	35	37	(	(	PUNCT
ap-326	35	38	dwt2	dwt2	NOUN
ap-326	35	39	)	)	PUNCT
ap-326	35	40	.	.	PUNCT
ap-326	36	1	the	the	DET
ap-326	36	2	motion	motion	NOUN
ap-326	36	3	vectors	vector	NOUN
ap-326	36	4	for	for	ADP
ap-326	36	5	the	the	DET
ap-326	36	6	lowest	low	ADJ
ap-326	36	7	low	low	ADJ
ap-326	36	8	-	-	PUNCT
ap-326	36	9	pass	pass	NOUN
ap-326	36	10	band	band	NOUN
ap-326	36	11	are	be	AUX
ap-326	36	12	estimated	estimate	VERB
ap-326	36	13	by	by	ADP
ap-326	36	14	central	central	ADJ
ap-326	36	15	search	search	NOUN
ap-326	36	16	.	.	PUNCT
ap-326	37	1	the	the	DET
ap-326	37	2	search	search	NOUN
ap-326	37	3	is	be	AUX
ap-326	37	4	performed	perform	VERB
ap-326	37	5	at	at	ADP
ap-326	37	6	the	the	DET
ap-326	37	7	center	center	NOUN
ap-326	37	8	and	and	CCONJ
ap-326	37	9	its	its	PRON
ap-326	37	10	eight	eight	NUM
ap-326	37	11	neighboring	neighboring	NOUN
ap-326	37	12	blocks	block	NOUN
ap-326	37	13	with	with	ADP
ap-326	37	14	a	a	DET
ap-326	37	15	block	block	NOUN
ap-326	37	16	size	size	NOUN
ap-326	37	17	of	of	ADP
ap-326	37	18	4	4	NUM
ap-326	37	19	×	×	NOUN
ap-326	37	20	4	4	NUM
ap-326	37	21	.	.	PUNCT
ap-326	38	1	step	step	NOUN
ap-326	38	2	2	2	NUM
ap-326	38	3	:	:	PUNCT
ap-326	39	1	these	these	DET
ap-326	39	2	motion	motion	NOUN
ap-326	39	3	vectors	vector	NOUN
ap-326	39	4	are	be	AUX
ap-326	39	5	then	then	ADV
ap-326	39	6	used	use	VERB
ap-326	39	7	as	as	ADP
ap-326	39	8	a	a	DET
ap-326	39	9	new	new	ADJ
ap-326	39	10	center	center	NOUN
ap-326	39	11	for	for	ADP
ap-326	39	12	other	other	ADJ
ap-326	39	13	three	three	NUM
ap-326	39	14	-	-	PUNCT
ap-326	39	15	bands	band	NOUN
ap-326	39	16	in	in	ADP
ap-326	39	17	the	the	DET
ap-326	39	18	same	same	ADJ
ap-326	39	19	layer	layer	NOUN
ap-326	39	20	(	(	PUNCT
ap-326	39	21	layer	layer	NOUN
ap-326	39	22	number	number	NOUN
ap-326	39	23	2	2	NUM
ap-326	39	24	)	)	PUNCT
ap-326	39	25	.	.	PUNCT
ap-326	40	1	for	for	ADP
ap-326	40	2	these	these	DET
ap-326	40	3	three	three	NUM
ap-326	40	4	-	-	PUNCT
ap-326	40	5	bands	band	NOUN
ap-326	40	6	,	,	PUNCT
ap-326	40	7	the	the	DET
ap-326	40	8	search	search	NOUN
ap-326	40	9	is	be	AUX
ap-326	40	10	30	30	NUM
ap-326	40	11	©	©	PROPN
ap-326	40	12	czech	czech	PROPN
ap-326	40	13	technical	technical	PROPN
ap-326	40	14	university	university	PROPN
ap-326	40	15	publishing	publishing	NOUN
ap-326	40	16	house	house	NOUN
ap-326	40	17	http://ctn.cvut.cz/ap/	http://ctn.cvut.cz/ap/	PROPN
ap-326	40	18	acta	acta	PROPN
ap-326	40	19	polytechnica	polytechnica	PROPN
ap-326	40	20	vol	vol	NOUN
ap-326	40	21	.	.	PUNCT
ap-326	41	1	42	42	NUM
ap-326	41	2	no	no	NOUN
ap-326	41	3	.	.	PUNCT
ap-326	42	1	2/2002	2/2002	NUM
ap-326	42	2	a	a	DET
ap-326	42	3	low	low	ADJ
ap-326	42	4	-	-	PUNCT
ap-326	42	5	complexity	complexity	NOUN
ap-326	42	6	wavelet	wavelet	NOUN
ap-326	42	7	based	base	VERB
ap-326	42	8	algorithm	algorithm	NOUN
ap-326	42	9	for	for	ADP
ap-326	42	10	inter	inter	ADJ
ap-326	42	11	-	-	ADJ
ap-326	42	12	frame	frame	ADJ
ap-326	42	13	image	image	NOUN
ap-326	42	14	prediction	prediction	NOUN
ap-326	42	15	s.	s.	PROPN
ap-326	42	16	usama	usama	PROPN
ap-326	42	17	,	,	PUNCT
ap-326	42	18	b.	b.	PROPN
ap-326	42	19	šimák	šimák	NOUN
ap-326	42	20	in	in	ADP
ap-326	42	21	this	this	DET
ap-326	42	22	paper	paper	NOUN
ap-326	42	23	,	,	PUNCT
ap-326	42	24	a	a	DET
ap-326	42	25	novel	novel	ADJ
ap-326	42	26	multi	multi	ADJ
ap-326	42	27	-	-	ADJ
ap-326	42	28	resolution	resolution	ADJ
ap-326	42	29	variable	variable	ADJ
ap-326	42	30	block	block	NOUN
ap-326	42	31	size	size	NOUN
ap-326	42	32	algorithm	algorithm	NOUN
ap-326	42	33	(	(	PUNCT
ap-326	42	34	mrvbs	mrvbs	X
ap-326	42	35	)	)	PUNCT
ap-326	42	36	is	be	AUX
ap-326	42	37	introduced	introduce	VERB
ap-326	42	38	.	.	PUNCT
ap-326	43	1	it	it	PRON
ap-326	43	2	is	be	AUX
ap-326	43	3	based	base	VERB
ap-326	43	4	on	on	ADP
ap-326	43	5	:	:	PUNCT
ap-326	43	6	(	(	PUNCT
ap-326	43	7	1	1	X
ap-326	43	8	)	)	PUNCT
ap-326	43	9	using	use	VERB
ap-326	43	10	the	the	DET
ap-326	43	11	wavelet	wavelet	NOUN
ap-326	43	12	components	component	NOUN
ap-326	43	13	of	of	ADP
ap-326	43	14	the	the	DET
ap-326	43	15	seven	seven	NUM
ap-326	43	16	sub	sub	NOUN
ap-326	43	17	-	-	NOUN
ap-326	43	18	bands	band	NOUN
ap-326	43	19	from	from	ADP
ap-326	43	20	two	two	NUM
ap-326	43	21	layers	layer	NOUN
ap-326	43	22	of	of	ADP
ap-326	43	23	wavelet	wavelet	NOUN
ap-326	43	24	pyramid	pyramid	NOUN
ap-326	43	25	in	in	ADP
ap-326	43	26	the	the	DET
ap-326	43	27	lowest	low	ADJ
ap-326	43	28	resolution	resolution	NOUN
ap-326	43	29	;	;	PUNCT
ap-326	43	30	(	(	PUNCT
ap-326	43	31	2	2	X
ap-326	43	32	)	)	PUNCT
ap-326	43	33	performing	perform	VERB
ap-326	43	34	a	a	DET
ap-326	43	35	block	block	NOUN
ap-326	43	36	matching	matching	NOUN
ap-326	43	37	estimation	estimation	NOUN
ap-326	43	38	within	within	ADP
ap-326	43	39	a	a	DET
ap-326	43	40	nine	nine	NUM
ap-326	43	41	-	-	PUNCT
ap-326	43	42	block	block	NOUN
ap-326	43	43	only	only	ADV
ap-326	43	44	in	in	ADP
ap-326	43	45	each	each	DET
ap-326	43	46	sub	sub	NOUN
ap-326	43	47	-	-	NOUN
ap-326	43	48	band	band	NOUN
ap-326	43	49	of	of	ADP
ap-326	43	50	the	the	DET
ap-326	43	51	lower	low	ADJ
ap-326	43	52	layer	layer	NOUN
ap-326	43	53	;	;	PUNCT
ap-326	43	54	(	(	PUNCT
ap-326	43	55	3	3	X
ap-326	43	56	)	)	PUNCT
ap-326	43	57	scaling	scale	VERB
ap-326	43	58	the	the	DET
ap-326	43	59	estimated	estimate	VERB
ap-326	43	60	motion	motion	NOUN
ap-326	43	61	vectors	vector	NOUN
ap-326	43	62	and	and	CCONJ
ap-326	43	63	using	use	VERB
ap-326	43	64	them	they	PRON
ap-326	43	65	as	as	ADP
ap-326	43	66	a	a	DET
ap-326	43	67	new	new	ADJ
ap-326	43	68	search	search	NOUN
ap-326	43	69	center	center	NOUN
ap-326	43	70	for	for	ADP
ap-326	43	71	the	the	DET
ap-326	43	72	finest	fine	ADJ
ap-326	43	73	resolution	resolution	NOUN
ap-326	43	74	.	.	PUNCT
ap-326	44	1	the	the	DET
ap-326	44	2	motivation	motivation	NOUN
ap-326	44	3	for	for	ADP
ap-326	44	4	using	use	VERB
ap-326	44	5	the	the	DET
ap-326	44	6	multi	multi	ADJ
ap-326	44	7	-	-	ADJ
ap-326	44	8	resolution	resolution	ADJ
ap-326	44	9	approach	approach	NOUN
ap-326	44	10	is	be	AUX
ap-326	44	11	the	the	DET
ap-326	44	12	inherent	inherent	ADJ
ap-326	44	13	structure	structure	NOUN
ap-326	44	14	of	of	ADP
ap-326	44	15	the	the	DET
ap-326	44	16	wavelet	wavelet	NOUN
ap-326	44	17	representation	representation	NOUN
ap-326	44	18	.	.	PUNCT
ap-326	45	1	a	a	DET
ap-326	45	2	multi	multi	ADJ
ap-326	45	3	-	-	ADJ
ap-326	45	4	resolution	resolution	ADJ
ap-326	45	5	scheme	scheme	NOUN
ap-326	45	6	significantly	significantly	ADV
ap-326	45	7	reduces	reduce	VERB
ap-326	45	8	the	the	DET
ap-326	45	9	searching	searching	NOUN
ap-326	45	10	time	time	NOUN
ap-326	45	11	,	,	PUNCT
ap-326	45	12	and	and	CCONJ
ap-326	45	13	provides	provide	VERB
ap-326	45	14	a	a	DET
ap-326	45	15	smooth	smooth	ADJ
ap-326	45	16	motion	motion	NOUN
ap-326	45	17	vector	vector	NOUN
ap-326	45	18	field	field	NOUN
ap-326	45	19	.	.	PUNCT
ap-326	46	1	the	the	DET
ap-326	46	2	approach	approach	NOUN
ap-326	46	3	presented	present	VERB
ap-326	46	4	in	in	ADP
ap-326	46	5	this	this	DET
ap-326	46	6	paper	paper	NOUN
ap-326	46	7	providing	provide	VERB
ap-326	46	8	an	an	DET
ap-326	46	9	accurate	accurate	ADJ
ap-326	46	10	motion	motion	NOUN
ap-326	46	11	estimate	estimate	NOUN
ap-326	46	12	even	even	ADV
ap-326	46	13	in	in	ADP
ap-326	46	14	the	the	DET
ap-326	46	15	presence	presence	NOUN
ap-326	46	16	of	of	ADP
ap-326	46	17	single	single	ADJ
ap-326	46	18	and	and	CCONJ
ap-326	46	19	mixed	mixed	ADJ
ap-326	46	20	noise	noise	NOUN
ap-326	46	21	.	.	PUNCT
ap-326	47	1	as	as	ADP
ap-326	47	2	a	a	DET
ap-326	47	3	part	part	NOUN
ap-326	47	4	of	of	ADP
ap-326	47	5	this	this	DET
ap-326	47	6	framework	framework	NOUN
ap-326	47	7	,	,	PUNCT
ap-326	47	8	a	a	DET
ap-326	47	9	comparison	comparison	NOUN
ap-326	47	10	of	of	ADP
ap-326	47	11	the	the	DET
ap-326	47	12	full	full	ADJ
ap-326	47	13	search	search	NOUN
ap-326	47	14	(	(	PUNCT
ap-326	47	15	fs	fs	NOUN
ap-326	47	16	)	)	PUNCT
ap-326	47	17	algorithm	algorithm	NOUN
ap-326	47	18	,	,	PUNCT
ap-326	47	19	the	the	DET
ap-326	47	20	three	three	NUM
ap-326	47	21	-	-	PUNCT
ap-326	47	22	step	step	NOUN
ap-326	47	23	search	search	NOUN
ap-326	47	24	(	(	PUNCT
ap-326	47	25	tss	tss	NOUN
ap-326	47	26	)	)	PUNCT
ap-326	47	27	algorithm	algorithm	NOUN
ap-326	47	28	and	and	CCONJ
ap-326	47	29	the	the	DET
ap-326	47	30	new	new	ADJ
ap-326	47	31	algorithm	algorithm	NOUN
ap-326	47	32	(	(	PUNCT
ap-326	47	33	mrvbs	mrvbs	X
ap-326	47	34	)	)	PUNCT
ap-326	47	35	is	be	AUX
ap-326	47	36	presented	present	VERB
ap-326	47	37	.	.	PUNCT
ap-326	48	1	for	for	ADP
ap-326	48	2	a	a	DET
ap-326	48	3	small	small	ADJ
ap-326	48	4	addition	addition	NOUN
ap-326	48	5	in	in	ADP
ap-326	48	6	computational	computational	ADJ
ap-326	48	7	complexity	complexity	NOUN
ap-326	48	8	over	over	ADP
ap-326	48	9	a	a	DET
ap-326	48	10	simple	simple	ADJ
ap-326	48	11	tss	tss	NOUN
ap-326	48	12	algorithm	algorithm	NOUN
ap-326	48	13	,	,	PUNCT
ap-326	48	14	the	the	DET
ap-326	48	15	new	new	ADJ
ap-326	48	16	algorithm	algorithm	NOUN
ap-326	48	17	achieves	achieve	VERB
ap-326	48	18	good	good	ADJ
ap-326	48	19	results	result	NOUN
ap-326	48	20	in	in	ADP
ap-326	48	21	the	the	DET
ap-326	48	22	presence	presence	NOUN
ap-326	48	23	of	of	ADP
ap-326	48	24	noise	noise	NOUN
ap-326	48	25	.	.	PUNCT
ap-326	49	1	keywords	keyword	NOUN
ap-326	49	2	:	:	PUNCT
ap-326	49	3	video	video	NOUN
ap-326	49	4	compression	compression	NOUN
ap-326	49	5	,	,	PUNCT
ap-326	49	6	motion	motion	NOUN
ap-326	49	7	estimation	estimation	NOUN
ap-326	49	8	,	,	PUNCT
ap-326	49	9	wavelet	wavelet	NOUN
ap-326	49	10	transform	transform	NOUN
ap-326	49	11	,	,	PUNCT
ap-326	49	12	multi	multi	NOUN
ap-326	49	13	-	-	NOUN
ap-326	49	14	resolution	resolution	NOUN
ap-326	49	15	.	.	PUNCT
ap-326	50	1	also	also	ADV
ap-326	50	2	performed	perform	VERB
ap-326	50	3	by	by	ADP
ap-326	50	4	the	the	DET
ap-326	50	5	same	same	ADJ
ap-326	50	6	method	method	NOUN
ap-326	50	7	(	(	PUNCT
ap-326	50	8	central	central	ADJ
ap-326	50	9	search	search	NOUN
ap-326	50	10	)	)	PUNCT
ap-326	50	11	using	use	VERB
ap-326	50	12	the	the	DET
ap-326	50	13	same	same	ADJ
ap-326	50	14	block	block	NOUN
ap-326	50	15	size	size	NOUN
ap-326	50	16	.	.	PUNCT
ap-326	51	1	we	we	PRON
ap-326	51	2	used	use	VERB
ap-326	51	3	a	a	DET
ap-326	51	4	block	block	NOUN
ap-326	51	5	size	size	NOUN
ap-326	51	6	of	of	ADP
ap-326	51	7	p	p	DET
ap-326	51	8	q	q	PROPN
ap-326	51	9	�	�	PROPN
ap-326	51	10	�	�	PROPN
ap-326	51	11	�	�	PROPN
ap-326	51	12	�	�	PROPN
ap-326	51	13	�	�	PROPN
ap-326	51	14	2	2	NUM
ap-326	51	15	2j	2j	PROPN
ap-326	51	16	j	j	NOUN
ap-326	51	17	for	for	ADP
ap-326	51	18	the	the	DET
ap-326	51	19	jth	jth	PROPN
ap-326	51	20	layer	layer	NOUN
ap-326	51	21	in	in	ADP
ap-326	51	22	the	the	DET
ap-326	51	23	wavelet	wavelet	NOUN
ap-326	51	24	pyramid	pyramid	NOUN
ap-326	51	25	,	,	PUNCT
ap-326	51	26	where	where	SCONJ
ap-326	51	27	p	p	NOUN
ap-326	51	28	and	and	CCONJ
ap-326	51	29	q	q	NOUN
ap-326	51	30	are	be	AUX
ap-326	51	31	the	the	DET
ap-326	51	32	sizes	size	NOUN
ap-326	51	33	of	of	ADP
ap-326	51	34	the	the	DET
ap-326	51	35	block	block	NOUN
ap-326	51	36	required	require	VERB
ap-326	51	37	at	at	ADP
ap-326	51	38	the	the	DET
ap-326	51	39	highest	high	ADJ
ap-326	51	40	resolution	resolution	NOUN
ap-326	51	41	(	(	PUNCT
ap-326	51	42	p	p	NOUN
ap-326	51	43	�	�	PROPN
ap-326	51	44	16	16	NUM
ap-326	51	45	and	and	CCONJ
ap-326	51	46	q	q	ADJ
ap-326	51	47	�	�	PROPN
ap-326	51	48	16	16	NUM
ap-326	51	49	)	)	PUNCT
ap-326	51	50	.	.	PUNCT
ap-326	52	1	step	step	NOUN
ap-326	52	2	3	3	NUM
ap-326	52	3	:	:	PUNCT
ap-326	52	4	the	the	DET
ap-326	52	5	current	current	ADJ
ap-326	52	6	motion	motion	NOUN
ap-326	52	7	vectors	vector	NOUN
ap-326	52	8	,	,	PUNCT
ap-326	52	9	estimated	estimate	VERB
ap-326	52	10	from	from	ADP
ap-326	52	11	layer	layer	NOUN
ap-326	52	12	2	2	NUM
ap-326	52	13	,	,	PUNCT
ap-326	52	14	are	be	AUX
ap-326	52	15	scaled	scale	VERB
ap-326	52	16	and	and	CCONJ
ap-326	52	17	used	use	VERB
ap-326	52	18	as	as	ADP
ap-326	52	19	a	a	DET
ap-326	52	20	new	new	ADJ
ap-326	52	21	center	center	NOUN
ap-326	52	22	for	for	ADP
ap-326	52	23	the	the	DET
ap-326	52	24	three	three	NUM
ap-326	52	25	highest	high	ADJ
ap-326	52	26	frequency	frequency	NOUN
ap-326	52	27	bands	band	NOUN
ap-326	52	28	in	in	ADP
ap-326	52	29	layer	layer	NOUN
ap-326	52	30	1	1	NUM
ap-326	52	31	.	.	PUNCT
ap-326	53	1	in	in	ADP
ap-326	53	2	layer	layer	NOUN
ap-326	53	3	1	1	NUM
ap-326	53	4	,	,	PUNCT
ap-326	53	5	the	the	DET
ap-326	53	6	search	search	NOUN
ap-326	53	7	is	be	AUX
ap-326	53	8	performed	perform	VERB
ap-326	53	9	using	use	VERB
ap-326	53	10	a	a	DET
ap-326	53	11	block	block	NOUN
ap-326	53	12	size	size	NOUN
ap-326	53	13	of	of	ADP
ap-326	53	14	8	8	NUM
ap-326	53	15	×	×	NOUN
ap-326	53	16	8	8	NUM
ap-326	53	17	.	.	PUNCT
ap-326	54	1	step	step	NOUN
ap-326	54	2	4	4	NUM
ap-326	54	3	:	:	PUNCT
ap-326	54	4	the	the	DET
ap-326	54	5	estimated	estimate	VERB
ap-326	54	6	motion	motion	NOUN
ap-326	54	7	vectors	vector	NOUN
ap-326	54	8	are	be	AUX
ap-326	54	9	then	then	ADV
ap-326	54	10	scaled	scale	VERB
ap-326	54	11	and	and	CCONJ
ap-326	54	12	used	use	VERB
ap-326	54	13	as	as	ADP
ap-326	54	14	a	a	DET
ap-326	54	15	center	center	NOUN
ap-326	54	16	for	for	ADP
ap-326	54	17	the	the	DET
ap-326	54	18	final	final	ADJ
ap-326	54	19	central	central	ADJ
ap-326	54	20	search	search	NOUN
ap-326	54	21	process	process	NOUN
ap-326	54	22	.	.	PUNCT
ap-326	55	1	also	also	ADV
ap-326	55	2	,	,	PUNCT
ap-326	55	3	the	the	DET
ap-326	55	4	final	final	ADJ
ap-326	55	5	central	central	ADJ
ap-326	55	6	search	search	NOUN
ap-326	55	7	is	be	AUX
ap-326	55	8	performed	perform	VERB
ap-326	55	9	at	at	ADP
ap-326	55	10	the	the	DET
ap-326	55	11	center	center	NOUN
ap-326	55	12	and	and	CCONJ
ap-326	55	13	its	its	PRON
ap-326	55	14	eight	eight	NUM
ap-326	55	15	neighboring	neighboring	NOUN
ap-326	55	16	blocks	block	NOUN
ap-326	55	17	.	.	PUNCT
ap-326	56	1	this	this	DET
ap-326	56	2	process	process	NOUN
ap-326	56	3	is	be	AUX
ap-326	56	4	performed	perform	VERB
ap-326	56	5	for	for	ADP
ap-326	56	6	the	the	DET
ap-326	56	7	original	original	ADJ
ap-326	56	8	frame	frame	NOUN
ap-326	56	9	using	use	VERB
ap-326	56	10	block	block	NOUN
ap-326	56	11	size	size	NOUN
ap-326	56	12	of	of	ADP
ap-326	56	13	16	16	NUM
ap-326	56	14	×	×	NOUN
ap-326	56	15	16	16	NUM
ap-326	56	16	.	.	PUNCT
ap-326	57	1	the	the	DET
ap-326	57	2	computational	computational	ADJ
ap-326	57	3	cost	cost	NOUN
ap-326	57	4	for	for	ADP
ap-326	57	5	mrvbs	mrvbs	ADJ
ap-326	57	6	,	,	PUNCT
ap-326	57	7	without	without	ADP
ap-326	57	8	the	the	DET
ap-326	57	9	wavelet	wavelet	NOUN
ap-326	57	10	complexity	complexity	NOUN
ap-326	57	11	,	,	PUNCT
ap-326	57	12	is	be	AUX
ap-326	57	13	(	(	PUNCT
ap-326	57	14	36*p2	36*p2	NUM
ap-326	57	15	+	+	NUM
ap-326	57	16	27*p1	27*p1	NUM
ap-326	57	17	+	+	NOUN
ap-326	57	18	9*p0	9*p0	NUM
ap-326	57	19	)	)	PUNCT
ap-326	57	20	,	,	PUNCT
ap-326	57	21	where	where	SCONJ
ap-326	57	22	p2	p2	NOUN
ap-326	57	23	,	,	PUNCT
ap-326	57	24	p1	p1	NOUN
ap-326	57	25	,	,	PUNCT
ap-326	57	26	and	and	CCONJ
ap-326	57	27	p0	p0	NOUN
ap-326	57	28	are	be	AUX
ap-326	57	29	the	the	DET
ap-326	57	30	block	block	NOUN
ap-326	57	31	sizes	size	NOUN
ap-326	57	32	used	use	VERB
ap-326	57	33	in	in	ADP
ap-326	57	34	layer	layer	NOUN
ap-326	57	35	2	2	NUM
ap-326	57	36	,	,	PUNCT
ap-326	57	37	layer	layer	NOUN
ap-326	57	38	1	1	NUM
ap-326	57	39	,	,	PUNCT
ap-326	57	40	and	and	CCONJ
ap-326	57	41	layer	layer	NOUN
ap-326	57	42	0	0	NUM
ap-326	57	43	,	,	PUNCT
ap-326	57	44	respectively	respectively	ADV
ap-326	57	45	.	.	PUNCT
ap-326	58	1	3	3	NUM
ap-326	58	2	simulation	simulation	NOUN
ap-326	58	3	results	result	VERB
ap-326	58	4	without	without	ADP
ap-326	58	5	influence	influence	NOUN
ap-326	58	6	of	of	ADP
ap-326	58	7	noise	noise	NOUN
ap-326	58	8	experimental	experimental	ADJ
ap-326	58	9	results	result	NOUN
ap-326	58	10	using	use	VERB
ap-326	58	11	the	the	DET
ap-326	58	12	proposed	propose	VERB
ap-326	58	13	algorithm	algorithm	NOUN
ap-326	58	14	are	be	AUX
ap-326	58	15	reported	report	VERB
ap-326	58	16	in	in	ADP
ap-326	58	17	this	this	DET
ap-326	58	18	section	section	NOUN
ap-326	58	19	.	.	PUNCT
ap-326	59	1	the	the	DET
ap-326	59	2	algorithm	algorithm	NOUN
ap-326	59	3	is	be	AUX
ap-326	59	4	applied	apply	VERB
ap-326	59	5	to	to	ADP
ap-326	59	6	three	three	NUM
ap-326	59	7	famous	famous	ADJ
ap-326	59	8	video	video	NOUN
ap-326	59	9	sequences	sequence	NOUN
ap-326	59	10	in	in	ADP
ap-326	59	11	the	the	DET
ap-326	59	12	qcif	qcif	ADJ
ap-326	59	13	format	format	NOUN
ap-326	59	14	:	:	PUNCT
ap-326	59	15	carphone	carphone	ADJ
ap-326	59	16	,	,	PUNCT
ap-326	59	17	foreman	foreman	NOUN
ap-326	59	18	,	,	PUNCT
ap-326	59	19	and	and	CCONJ
ap-326	59	20	miss	miss	PROPN
ap-326	59	21	america	america	PROPN
ap-326	59	22	.	.	PUNCT
ap-326	60	1	these	these	DET
ap-326	60	2	video	video	NOUN
ap-326	60	3	sequences	sequence	NOUN
ap-326	60	4	have	have	VERB
ap-326	60	5	a	a	DET
ap-326	60	6	three	three	NUM
ap-326	60	7	-	-	PUNCT
ap-326	60	8	kinds	kind	NOUN
ap-326	60	9	of	of	ADP
ap-326	60	10	motion	motion	NOUN
ap-326	60	11	.	.	PUNCT
ap-326	61	1	the	the	DET
ap-326	61	2	experimental	experimental	ADJ
ap-326	61	3	results	result	NOUN
ap-326	61	4	are	be	AUX
ap-326	61	5	evaluated	evaluate	VERB
ap-326	61	6	using	use	VERB
ap-326	61	7	the	the	DET
ap-326	61	8	luminance	luminance	NOUN
ap-326	61	9	component	component	NOUN
ap-326	61	10	of	of	ADP
ap-326	61	11	each	each	DET
ap-326	61	12	sequence	sequence	NOUN
ap-326	61	13	.	.	PUNCT
ap-326	62	1	the	the	DET
ap-326	62	2	results	result	NOUN
ap-326	62	3	are	be	AUX
ap-326	62	4	based	base	VERB
ap-326	62	5	on	on	ADP
ap-326	62	6	the	the	DET
ap-326	62	7	peak	peak	NOUN
ap-326	62	8	-	-	PUNCT
ap-326	62	9	signal	signal	NOUN
ap-326	62	10	-	-	PUNCT
ap-326	62	11	to	to	ADP
ap-326	62	12	-	-	PUNCT
ap-326	62	13	noise	noise	NOUN
ap-326	62	14	ratio	ratio	NOUN
ap-326	62	15	(	(	PUNCT
ap-326	62	16	psnr	psnr	NOUN
ap-326	62	17	)	)	PUNCT
ap-326	62	18	function	function	NOUN
ap-326	62	19	,	,	PUNCT
ap-326	62	20	and	and	CCONJ
ap-326	62	21	use	use	VERB
ap-326	62	22	the	the	DET
ap-326	62	23	mean	mean	ADJ
ap-326	62	24	absolute	absolute	ADJ
ap-326	62	25	difference	difference	NOUN
ap-326	62	26	(	(	PUNCT
ap-326	62	27	mad	mad	ADJ
ap-326	62	28	)	)	PUNCT
ap-326	62	29	in	in	ADP
ap-326	62	30	performing	perform	VERB
ap-326	62	31	block	block	NOUN
ap-326	62	32	matching	matching	NOUN
ap-326	62	33	.	.	PUNCT
ap-326	63	1	the	the	DET
ap-326	63	2	error	error	NOUN
ap-326	63	3	terms	term	NOUN
ap-326	63	4	are	be	AUX
ap-326	63	5	not	not	PART
ap-326	63	6	used	use	VERB
ap-326	63	7	in	in	ADP
ap-326	63	8	the	the	DET
ap-326	63	9	frame	frame	NOUN
ap-326	63	10	reconstruction	reconstruction	NOUN
ap-326	63	11	.	.	PUNCT
ap-326	64	1	only	only	ADV
ap-326	64	2	forward	forward	ADJ
ap-326	64	3	prediction	prediction	NOUN
ap-326	64	4	is	be	AUX
ap-326	64	5	implemented	implement	VERB
ap-326	64	6	in	in	ADP
ap-326	64	7	the	the	DET
ap-326	64	8	experiments	experiment	NOUN
ap-326	64	9	.	.	PUNCT
ap-326	65	1	no	no	DET
ap-326	65	2	threshold	threshold	NOUN
ap-326	65	3	value	value	NOUN
ap-326	65	4	is	be	AUX
ap-326	65	5	used	use	VERB
ap-326	65	6	in	in	ADP
ap-326	65	7	the	the	DET
ap-326	65	8	search	search	NOUN
ap-326	65	9	process	process	NOUN
ap-326	65	10	.	.	PUNCT
ap-326	66	1	a	a	DET
ap-326	66	2	performance	performance	NOUN
ap-326	66	3	comparison	comparison	NOUN
ap-326	66	4	of	of	ADP
ap-326	66	5	mrvbs	mrvbs	PROPN
ap-326	66	6	,	,	PUNCT
ap-326	66	7	tss	tss	NOUN
ap-326	66	8	,	,	PUNCT
ap-326	66	9	and	and	CCONJ
ap-326	66	10	fs	fs	X
ap-326	66	11	in	in	ADP
ap-326	66	12	terms	term	NOUN
ap-326	66	13	of	of	ADP
ap-326	66	14	psnr	psnr	NOUN
ap-326	66	15	between	between	ADP
ap-326	66	16	the	the	DET
ap-326	66	17	estimated	estimate	VERB
ap-326	66	18	frames	frame	NOUN
ap-326	66	19	and	and	CCONJ
ap-326	66	20	the	the	DET
ap-326	66	21	original	original	ADJ
ap-326	66	22	frames	frame	NOUN
ap-326	66	23	is	be	AUX
ap-326	66	24	carried	carry	VERB
ap-326	66	25	out	out	ADP
ap-326	66	26	for	for	ADP
ap-326	66	27	these	these	DET
ap-326	66	28	video	video	NOUN
ap-326	66	29	sequences	sequence	NOUN
ap-326	66	30	.	.	PUNCT
ap-326	67	1	the	the	DET
ap-326	67	2	comparison	comparison	NOUN
ap-326	67	3	is	be	AUX
ap-326	67	4	made	make	VERB
ap-326	67	5	among	among	ADP
ap-326	67	6	the	the	DET
ap-326	67	7	first	first	ADJ
ap-326	67	8	30	30	NUM
ap-326	67	9	-	-	PUNCT
ap-326	67	10	frame	frame	NOUN
ap-326	67	11	of	of	ADP
ap-326	67	12	each	each	DET
ap-326	67	13	sequence	sequence	NOUN
ap-326	67	14	.	.	PUNCT
ap-326	68	1	the	the	DET
ap-326	68	2	psnr	psnr	PROPN
ap-326	68	3	comparisons	comparison	NOUN
ap-326	68	4	show	show	VERB
ap-326	68	5	that	that	SCONJ
ap-326	68	6	the	the	DET
ap-326	68	7	mrvbs	mrvbs	PROPN
ap-326	68	8	usually	usually	ADV
ap-326	68	9	provides	provide	VERB
ap-326	68	10	a	a	DET
ap-326	68	11	performance	performance	NOUN
ap-326	68	12	similar	similar	ADJ
ap-326	68	13	to	to	ADP
ap-326	68	14	the	the	DET
ap-326	68	15	tss	tss	NOUN
ap-326	68	16	and	and	CCONJ
ap-326	68	17	fs	fs	ADP
ap-326	68	18	algorithms	algorithm	NOUN
ap-326	68	19	,	,	PUNCT
ap-326	68	20	especially	especially	ADV
ap-326	68	21	in	in	ADP
ap-326	68	22	the	the	DET
ap-326	68	23	case	case	NOUN
ap-326	68	24	of	of	ADP
ap-326	68	25	slow	slow	ADJ
ap-326	68	26	motion	motion	NOUN
ap-326	68	27	with	with	ADP
ap-326	68	28	a	a	DET
ap-326	68	29	stationary	stationary	ADJ
ap-326	68	30	background	background	NOUN
ap-326	68	31	.	.	PUNCT
ap-326	69	1	as	as	ADP
ap-326	69	2	an	an	DET
ap-326	69	3	example	example	NOUN
ap-326	69	4	,	,	PUNCT
ap-326	69	5	fig	fig	NOUN
ap-326	69	6	.	.	PUNCT
ap-326	69	7	2	2	NUM
ap-326	69	8	shows	show	VERB
ap-326	69	9	the	the	DET
ap-326	69	10	performance	performance	NOUN
ap-326	69	11	comparison	comparison	NOUN
ap-326	69	12	for	for	ADP
ap-326	69	13	the	the	DET
ap-326	69	14	carphone	carphone	ADJ
ap-326	69	15	sequence	sequence	NOUN
ap-326	69	16	(	(	PUNCT
ap-326	69	17	this	this	PRON
ap-326	69	18	was	be	AUX
ap-326	69	19	the	the	DET
ap-326	69	20	worst	bad	ADJ
ap-326	69	21	result	result	NOUN
ap-326	69	22	)	)	PUNCT
ap-326	69	23	.	.	PUNCT
ap-326	70	1	©	©	PROPN
ap-326	70	2	czech	czech	PROPN
ap-326	70	3	technical	technical	PROPN
ap-326	70	4	university	university	PROPN
ap-326	70	5	publishing	publishing	NOUN
ap-326	70	6	house	house	NOUN
ap-326	70	7	http://ctn.cvut.cz/ap/	http://ctn.cvut.cz/ap/	PROPN
ap-326	70	8	31	31	NUM
ap-326	70	9	acta	acta	PROPN
ap-326	70	10	polytechnica	polytechnica	PROPN
ap-326	70	11	vol	vol	NOUN
ap-326	70	12	.	.	PUNCT
ap-326	71	1	42	42	NUM
ap-326	71	2	no	no	NOUN
ap-326	71	3	.	.	PUNCT
ap-326	72	1	2/2002	2/2002	NUM
ap-326	72	2	original	original	ADJ
ap-326	72	3	frame	frame	NOUN
ap-326	72	4	,	,	PUNCT
ap-326	72	5	x(t	x(t	PROPN
ap-326	72	6	)	)	PUNCT
ap-326	72	7	original	original	ADJ
ap-326	72	8	frame	frame	NOUN
ap-326	72	9	,	,	PUNCT
ap-326	72	10	x(t-1	x(t-1	ADJ
ap-326	72	11	)	)	PUNCT
ap-326	72	12	central	central	ADJ
ap-326	72	13	search	search	NOUN
ap-326	72	14	process	process	NOUN
ap-326	72	15	cdwt2	cdwt2	NOUN
ap-326	72	16	central	central	ADJ
ap-326	72	17	search	search	NOUN
ap-326	72	18	process	process	NOUN
ap-326	72	19	cdwt2	cdwt2	NOUN
ap-326	72	20	cdwt2	cdwt2	NOUN
ap-326	73	1	central	central	ADJ
ap-326	73	2	search	search	NOUN
ap-326	73	3	process	process	NOUN
ap-326	73	4	cdwt2	cdwt2	NOUN
ap-326	73	5	central	central	ADJ
ap-326	73	6	search	search	NOUN
ap-326	73	7	process	process	NOUN
ap-326	73	8	layer	layer	NOUN
ap-326	73	9	0	0	NUM
ap-326	73	10	initial	initial	ADJ
ap-326	73	11	estimates	estimate	NOUN
ap-326	73	12	detail	detail	NOUN
ap-326	73	13	detail	detail	NOUN
ap-326	73	14	layer	layer	NOUN
ap-326	73	15	1	1	NUM
ap-326	73	16	low	low	ADJ
ap-326	73	17	-	-	PUNCT
ap-326	73	18	pass	pass	NOUN
ap-326	73	19	low	low	ADJ
ap-326	73	20	-	-	PUNCT
ap-326	73	21	pass	pass	NOUN
ap-326	73	22	initial	initial	ADJ
ap-326	73	23	estimates	estimate	NOUN
ap-326	73	24	detail	detail	NOUN
ap-326	73	25	detail	detail	NOUN
ap-326	73	26	layer	layer	NOUN
ap-326	73	27	2	2	NUM
ap-326	73	28	low	low	ADJ
ap-326	73	29	-	-	PUNCT
ap-326	73	30	pass	pass	NOUN
ap-326	73	31	initial	initial	ADJ
ap-326	73	32	estimates	estimate	NOUN
ap-326	73	33	low	low	ADJ
ap-326	73	34	-	-	PUNCT
ap-326	73	35	pass	pass	NOUN
ap-326	73	36	fig	fig	NOUN
ap-326	73	37	.	.	PUNCT
ap-326	74	1	1	1	NUM
ap-326	74	2	:	:	PUNCT
ap-326	74	3	motion	motion	NOUN
ap-326	74	4	estimation	estimation	NOUN
ap-326	74	5	using	use	VERB
ap-326	74	6	wavelet	wavelet	NOUN
ap-326	74	7	decomposition	decomposition	NOUN
ap-326	74	8	20	20	NUM
ap-326	74	9	22	22	NUM
ap-326	74	10	24	24	NUM
ap-326	74	11	26	26	NUM
ap-326	74	12	28	28	NUM
ap-326	74	13	30	30	NUM
ap-326	74	14	32	32	NUM
ap-326	74	15	34	34	NUM
ap-326	74	16	36	36	NUM
ap-326	74	17	1	1	NUM
ap-326	74	18	3	3	NUM
ap-326	74	19	5	5	NUM
ap-326	74	20	7	7	NUM
ap-326	74	21	9	9	NUM
ap-326	74	22	11	11	NUM
ap-326	74	23	13	13	NUM
ap-326	74	24	15	15	NUM
ap-326	74	25	17	17	NUM
ap-326	74	26	19	19	NUM
ap-326	74	27	21	21	NUM
ap-326	74	28	23	23	NUM
ap-326	74	29	25	25	NUM
ap-326	74	30	27	27	NUM
ap-326	74	31	29	29	NUM
ap-326	74	32	frame	frame	NOUN
ap-326	74	33	no	no	INTJ
ap-326	74	34	.	.	PUNCT
ap-326	75	1	mrvbs	mrvbs	PROPN
ap-326	75	2	tss	tss	PROPN
ap-326	75	3	fs	fs	ADP
ap-326	75	4	p	p	PROPN
ap-326	75	5	s	s	PROPN
ap-326	75	6	n	n	PRON
ap-326	75	7	r	r	NOUN
ap-326	75	8	fig	fig	NOUN
ap-326	75	9	.	.	PUNCT
ap-326	76	1	2	2	NUM
ap-326	76	2	:	:	PUNCT
ap-326	76	3	psnr	psnr	NOUN
ap-326	76	4	comparisons	comparison	NOUN
ap-326	76	5	of	of	ADP
ap-326	76	6	mrvbs	mrvbs	PROPN
ap-326	76	7	,	,	PUNCT
ap-326	76	8	tss	tss	NOUN
ap-326	76	9	,	,	PUNCT
ap-326	76	10	and	and	CCONJ
ap-326	76	11	fs	fs	ADP
ap-326	76	12	algorithms	algorithm	NOUN
ap-326	76	13	for	for	ADP
ap-326	76	14	the	the	DET
ap-326	76	15	“	"	PUNCT
ap-326	76	16	carphone	carphone	ADJ
ap-326	76	17	”	"	PUNCT
ap-326	76	18	sequence	sequence	NOUN
ap-326	76	19	without	without	ADP
ap-326	76	20	influence	influence	NOUN
ap-326	76	21	of	of	ADP
ap-326	76	22	noise	noise	NOUN
ap-326	76	23	4	4	NUM
ap-326	76	24	simulation	simulation	NOUN
ap-326	76	25	results	result	NOUN
ap-326	76	26	under	under	ADP
ap-326	76	27	influence	influence	NOUN
ap-326	76	28	of	of	ADP
ap-326	76	29	noise	noise	NOUN
ap-326	76	30	to	to	PART
ap-326	76	31	demonstrate	demonstrate	VERB
ap-326	76	32	the	the	DET
ap-326	76	33	performance	performance	NOUN
ap-326	76	34	of	of	ADP
ap-326	76	35	our	our	PRON
ap-326	76	36	algorithm	algorithm	NOUN
ap-326	76	37	,	,	PUNCT
ap-326	76	38	the	the	DET
ap-326	76	39	average	average	ADJ
ap-326	76	40	psnr	psnr	NOUN
ap-326	76	41	(	(	PUNCT
ap-326	76	42	across	across	ADP
ap-326	76	43	all	all	DET
ap-326	76	44	input	input	NOUN
ap-326	76	45	frames	frame	NOUN
ap-326	76	46	)	)	PUNCT
ap-326	76	47	is	be	AUX
ap-326	76	48	plotted	plot	VERB
ap-326	76	49	against	against	ADP
ap-326	76	50	input	input	NOUN
ap-326	76	51	noise	noise	NOUN
ap-326	76	52	density	density	NOUN
ap-326	76	53	and	and	CCONJ
ap-326	76	54	signal	signal	NOUN
ap-326	76	55	-	-	PUNCT
ap-326	76	56	to	to	ADP
ap-326	76	57	-	-	PUNCT
ap-326	76	58	noise	noise	NOUN
ap-326	76	59	ratio	ratio	NOUN
ap-326	76	60	(	(	PUNCT
ap-326	76	61	snr	snr	PROPN
ap-326	76	62	)	)	PUNCT
ap-326	76	63	.	.	PUNCT
ap-326	77	1	the	the	DET
ap-326	77	2	average	average	ADJ
ap-326	77	3	psnr	psnr	NOUN
ap-326	77	4	,	,	PUNCT
ap-326	77	5	psnravg	psnravg	PROPN
ap-326	77	6	,	,	PUNCT
ap-326	77	7	is	be	AUX
ap-326	77	8	given	give	VERB
ap-326	77	9	as	as	ADP
ap-326	77	10	psnr	psnr	NOUN
ap-326	77	11	psnravg	psnravg	NOUN
ap-326	77	12	�	�	PROPN
ap-326	77	13	�	�	PROPN
ap-326	77	14	�	�	PROPN
ap-326	77	15	1	1	NUM
ap-326	77	16	1	1	NUM
ap-326	78	1	f	f	NOUN
ap-326	79	1	i	i	PRON
ap-326	79	2	i	i	PRON
ap-326	79	3	f	f	X
ap-326	79	4	(	(	PUNCT
ap-326	79	5	1	1	NUM
ap-326	79	6	)	)	PUNCT
ap-326	79	7	where	where	SCONJ
ap-326	79	8	psnri	psnri	NOUN
ap-326	79	9	is	be	AUX
ap-326	79	10	the	the	DET
ap-326	79	11	measured	measured	ADJ
ap-326	79	12	psnr	psnr	NOUN
ap-326	79	13	for	for	ADP
ap-326	79	14	frame	frame	NOUN
ap-326	79	15	i	i	PRON
ap-326	79	16	,	,	PUNCT
ap-326	79	17	and	and	CCONJ
ap-326	79	18	f	f	PROPN
ap-326	79	19	is	be	AUX
ap-326	79	20	the	the	DET
ap-326	79	21	total	total	ADJ
ap-326	79	22	number	number	NOUN
ap-326	79	23	of	of	ADP
ap-326	79	24	frames	frame	NOUN
ap-326	79	25	.	.	PUNCT
ap-326	80	1	we	we	PRON
ap-326	80	2	shall	shall	AUX
ap-326	80	3	compare	compare	VERB
ap-326	80	4	the	the	DET
ap-326	80	5	mrvbs	mrvbs	ADJ
ap-326	80	6	algorithm	algorithm	NOUN
ap-326	80	7	against	against	ADP
ap-326	80	8	the	the	DET
ap-326	80	9	tss	tss	NOUN
ap-326	80	10	and	and	CCONJ
ap-326	80	11	fs	fs	ADP
ap-326	80	12	algorithms	algorithm	NOUN
ap-326	80	13	.	.	PUNCT
ap-326	81	1	in	in	ADP
ap-326	81	2	addition	addition	NOUN
ap-326	81	3	,	,	PUNCT
ap-326	81	4	the	the	DET
ap-326	81	5	psnr	psnr	NOUN
ap-326	81	6	comparison	comparison	NOUN
ap-326	81	7	among	among	ADP
ap-326	81	8	the	the	DET
ap-326	81	9	three	three	NUM
ap-326	81	10	algorithms	algorithm	NOUN
ap-326	81	11	will	will	AUX
ap-326	81	12	be	be	AUX
ap-326	81	13	introduced	introduce	VERB
ap-326	81	14	.	.	PUNCT
ap-326	82	1	4.1	4.1	NUM
ap-326	82	2	simulation	simulation	NOUN
ap-326	82	3	results	result	VERB
ap-326	82	4	under	under	ADP
ap-326	82	5	the	the	DET
ap-326	82	6	influence	influence	NOUN
ap-326	82	7	of	of	ADP
ap-326	82	8	gaussian	gaussian	ADJ
ap-326	82	9	noise	noise	NOUN
ap-326	82	10	an	an	DET
ap-326	82	11	additive	additive	ADJ
ap-326	82	12	gaussian	gaussian	NOUN
ap-326	82	13	noise	noise	NOUN
ap-326	82	14	with	with	ADP
ap-326	82	15	a	a	DET
ap-326	82	16	different	different	ADJ
ap-326	82	17	signal	signal	NOUN
ap-326	82	18	-	-	PUNCT
ap-326	82	19	to	to	ADP
ap-326	82	20	-	-	PUNCT
ap-326	82	21	noise	noise	NOUN
ap-326	82	22	ratio	ratio	NOUN
ap-326	82	23	(	(	PUNCT
ap-326	82	24	snr	snr	PROPN
ap-326	82	25	)	)	PUNCT
ap-326	82	26	degraded	degrade	VERB
ap-326	82	27	the	the	DET
ap-326	82	28	three	three	NUM
ap-326	82	29	video	video	NOUN
ap-326	82	30	sequences	sequence	NOUN
ap-326	82	31	.	.	PUNCT
ap-326	83	1	we	we	PRON
ap-326	83	2	applied	apply	VERB
ap-326	83	3	the	the	DET
ap-326	83	4	new	new	ADJ
ap-326	83	5	motion	motion	NOUN
ap-326	83	6	estimation	estimation	NOUN
ap-326	83	7	algorithm	algorithm	NOUN
ap-326	83	8	(	(	PUNCT
ap-326	83	9	mrvbs	mrvbs	X
ap-326	83	10	)	)	PUNCT
ap-326	83	11	to	to	ADP
ap-326	83	12	these	these	DET
ap-326	83	13	sequences	sequence	NOUN
ap-326	83	14	.	.	PUNCT
ap-326	84	1	fig	fig	NOUN
ap-326	84	2	.	.	PUNCT
ap-326	85	1	3	3	NUM
ap-326	85	2	shows	show	VERB
ap-326	85	3	the	the	DET
ap-326	85	4	performance	performance	NOUN
ap-326	85	5	comparison	comparison	NOUN
ap-326	85	6	for	for	ADP
ap-326	85	7	the	the	DET
ap-326	85	8	miss	miss	PROPN
ap-326	85	9	america	america	PROPN
ap-326	85	10	sequence	sequence	NOUN
ap-326	85	11	with	with	ADP
ap-326	85	12	a	a	DET
ap-326	85	13	signal	signal	NOUN
ap-326	85	14	-	-	PUNCT
ap-326	85	15	to	to	ADP
ap-326	85	16	-	-	PUNCT
ap-326	85	17	noise	noise	NOUN
ap-326	85	18	ratio	ratio	NOUN
ap-326	85	19	(	(	PUNCT
ap-326	85	20	snr	snr	PROPN
ap-326	85	21	)	)	PUNCT
ap-326	85	22	of	of	ADP
ap-326	85	23	10	10	NUM
ap-326	85	24	dbs	dbs	NOUN
ap-326	85	25	.	.	PUNCT
ap-326	85	26	fs	fs	PROPN
ap-326	85	27	and	and	CCONJ
ap-326	85	28	tss	tss	PROPN
ap-326	85	29	are	be	AUX
ap-326	85	30	performed	perform	VERB
ap-326	85	31	at	at	ADP
ap-326	85	32	layer	layer	NOUN
ap-326	85	33	0	0	NUM
ap-326	85	34	using	use	VERB
ap-326	85	35	a	a	DET
ap-326	85	36	block	block	NOUN
ap-326	85	37	size	size	NOUN
ap-326	85	38	of	of	ADP
ap-326	85	39	16	16	NUM
ap-326	85	40	×	×	NOUN
ap-326	85	41	16	16	NUM
ap-326	85	42	.	.	PUNCT
ap-326	86	1	the	the	DET
ap-326	86	2	psnr	psnr	PROPN
ap-326	86	3	comparison	comparison	NOUN
ap-326	86	4	shows	show	VERB
ap-326	86	5	that	that	SCONJ
ap-326	86	6	the	the	DET
ap-326	86	7	mrvbs	mrvbs	PROPN
ap-326	86	8	usually	usually	ADV
ap-326	86	9	performs	perform	VERB
ap-326	86	10	better	well	ADJ
ap-326	86	11	than	than	ADP
ap-326	86	12	the	the	DET
ap-326	86	13	tss	tss	NOUN
ap-326	86	14	and	and	CCONJ
ap-326	86	15	fs	fs	ADP
ap-326	86	16	algorithms	algorithm	NOUN
ap-326	86	17	.	.	PUNCT
ap-326	87	1	under	under	ADP
ap-326	87	2	normal	normal	ADJ
ap-326	87	3	operating	operating	NOUN
ap-326	87	4	,	,	PUNCT
ap-326	87	5	e.g.	e.g.	ADV
ap-326	87	6	,	,	PUNCT
ap-326	87	7	input	input	NOUN
ap-326	87	8	snr	snr	NOUN
ap-326	87	9	between	between	ADP
ap-326	87	10	30	30	NUM
ap-326	87	11	to	to	PART
ap-326	87	12	50	50	NUM
ap-326	87	13	dbs	db	NOUN
ap-326	87	14	,	,	PUNCT
ap-326	87	15	the	the	DET
ap-326	87	16	performance	performance	NOUN
ap-326	87	17	of	of	ADP
ap-326	87	18	mrvbs	mrvbs	PROPN
ap-326	87	19	is	be	AUX
ap-326	87	20	similar	similar	ADJ
ap-326	87	21	to	to	ADP
ap-326	87	22	the	the	DET
ap-326	87	23	performance	performance	NOUN
ap-326	87	24	of	of	ADP
ap-326	87	25	the	the	DET
ap-326	87	26	tss	tss	NOUN
ap-326	87	27	and	and	CCONJ
ap-326	87	28	fs	fs	ADP
ap-326	87	29	algorithms	algorithm	NOUN
ap-326	87	30	.	.	PUNCT
ap-326	88	1	for	for	ADP
ap-326	88	2	extremely	extremely	ADV
ap-326	88	3	noisy	noisy	ADJ
ap-326	88	4	sequences	sequence	NOUN
ap-326	88	5	,	,	PUNCT
ap-326	88	6	e.g.	e.g.	ADV
ap-326	88	7	,	,	PUNCT
ap-326	88	8	for	for	ADP
ap-326	88	9	snr	snr	NOUN
ap-326	88	10	of	of	ADP
ap-326	88	11	10	10	NUM
ap-326	88	12	dbs	dbs	PROPN
ap-326	88	13	,	,	PUNCT
ap-326	88	14	the	the	DET
ap-326	88	15	performance	performance	NOUN
ap-326	88	16	of	of	ADP
ap-326	88	17	mrvbs	mrvbs	PROPN
ap-326	88	18	is	be	AUX
ap-326	88	19	as	as	ADV
ap-326	88	20	much	much	ADJ
ap-326	88	21	as	as	ADP
ap-326	88	22	2	2	NUM
ap-326	88	23	dbs	dbs	NOUN
ap-326	88	24	better	well	ADJ
ap-326	88	25	than	than	ADP
ap-326	88	26	the	the	DET
ap-326	88	27	other	other	ADJ
ap-326	88	28	two	two	NUM
ap-326	88	29	algorithms	algorithm	NOUN
ap-326	88	30	.	.	PUNCT
ap-326	89	1	in	in	ADP
ap-326	89	2	fig	fig	NOUN
ap-326	89	3	.	.	PUNCT
ap-326	90	1	4	4	NUM
ap-326	90	2	,	,	PUNCT
ap-326	90	3	the	the	DET
ap-326	90	4	average	average	ADJ
ap-326	90	5	psnr	psnr	NOUN
ap-326	90	6	,	,	PUNCT
ap-326	90	7	psnravg	psnravg	NOUN
ap-326	90	8	(	(	PUNCT
ap-326	90	9	across	across	ADP
ap-326	90	10	all	all	DET
ap-326	90	11	input	input	NOUN
ap-326	90	12	frames	frame	NOUN
ap-326	90	13	)	)	PUNCT
ap-326	90	14	is	be	AUX
ap-326	90	15	plotted	plot	VERB
ap-326	90	16	against	against	ADP
ap-326	90	17	input	input	NOUN
ap-326	90	18	noise	noise	NOUN
ap-326	90	19	level	level	NOUN
ap-326	90	20	for	for	ADP
ap-326	90	21	the	the	DET
ap-326	90	22	“	"	PUNCT
ap-326	90	23	carphone	carphone	ADJ
ap-326	90	24	”	"	PUNCT
ap-326	90	25	sequence	sequence	NOUN
ap-326	90	26	.	.	PUNCT
ap-326	91	1	these	these	DET
ap-326	91	2	results	result	NOUN
ap-326	91	3	indicate	indicate	VERB
ap-326	91	4	that	that	SCONJ
ap-326	91	5	the	the	DET
ap-326	91	6	motion	motion	NOUN
ap-326	91	7	estimation	estimation	NOUN
ap-326	91	8	techniques	technique	NOUN
ap-326	91	9	used	use	VERB
ap-326	91	10	approximately	approximately	ADV
ap-326	91	11	at	at	ADP
ap-326	91	12	low	low	ADJ
ap-326	91	13	level	level	NOUN
ap-326	91	14	of	of	ADP
ap-326	91	15	noise	noise	NOUN
ap-326	91	16	have	have	VERB
ap-326	91	17	the	the	DET
ap-326	91	18	same	same	ADJ
ap-326	91	19	performance	performance	NOUN
ap-326	91	20	.	.	PUNCT
ap-326	92	1	the	the	DET
ap-326	92	2	performance	performance	NOUN
ap-326	92	3	of	of	ADP
ap-326	92	4	mrvbs	mrvbs	PROPN
ap-326	92	5	is	be	AUX
ap-326	92	6	as	as	ADV
ap-326	92	7	much	much	ADJ
ap-326	92	8	as	as	ADP
ap-326	92	9	2	2	NUM
ap-326	92	10	dbs	dbs	NOUN
ap-326	92	11	better	well	ADJ
ap-326	92	12	than	than	ADP
ap-326	92	13	the	the	DET
ap-326	92	14	performance	performance	NOUN
ap-326	92	15	of	of	ADP
ap-326	92	16	fs	f	NOUN
ap-326	92	17	and	and	CCONJ
ap-326	92	18	tss	tss	NOUN
ap-326	92	19	under	under	ADP
ap-326	92	20	a	a	DET
ap-326	92	21	high	high	ADJ
ap-326	92	22	level	level	NOUN
ap-326	92	23	of	of	ADP
ap-326	92	24	gaussian	gaussian	ADJ
ap-326	92	25	noise	noise	NOUN
ap-326	92	26	.	.	PUNCT
ap-326	93	1	in	in	ADP
ap-326	93	2	addition	addition	NOUN
ap-326	93	3	,	,	PUNCT
ap-326	93	4	for	for	ADP
ap-326	93	5	the	the	DET
ap-326	93	6	“	"	PUNCT
ap-326	93	7	foreman	foreman	NOUN
ap-326	93	8	”	"	PUNCT
ap-326	93	9	sequence	sequence	NOUN
ap-326	93	10	the	the	DET
ap-326	93	11	performance	performance	NOUN
ap-326	93	12	comparison	comparison	NOUN
ap-326	93	13	is	be	AUX
ap-326	93	14	similar	similar	ADJ
ap-326	93	15	to	to	ADP
ap-326	93	16	the	the	DET
ap-326	93	17	results	result	NOUN
ap-326	93	18	of	of	ADP
ap-326	93	19	the	the	DET
ap-326	93	20	“	"	PUNCT
ap-326	93	21	carphone	carphone	ADJ
ap-326	93	22	”	"	PUNCT
ap-326	93	23	sequence	sequence	NOUN
ap-326	93	24	.	.	PUNCT
ap-326	94	1	for	for	ADP
ap-326	94	2	the	the	DET
ap-326	94	3	“	"	PUNCT
ap-326	94	4	miss	miss	PROPN
ap-326	94	5	america	america	PROPN
ap-326	94	6	”	"	PUNCT
ap-326	94	7	sequence	sequence	NOUN
ap-326	94	8	,	,	PUNCT
ap-326	94	9	the	the	DET
ap-326	94	10	performance	performance	NOUN
ap-326	94	11	of	of	ADP
ap-326	94	12	mrvbs	mrvbs	PROPN
ap-326	94	13	is	be	AUX
ap-326	94	14	as	as	ADV
ap-326	94	15	much	much	ADJ
ap-326	94	16	as	as	ADP
ap-326	94	17	3	3	NUM
ap-326	94	18	dbs	dbs	NOUN
ap-326	94	19	better	well	ADJ
ap-326	94	20	than	than	ADP
ap-326	94	21	the	the	DET
ap-326	94	22	other	other	ADJ
ap-326	94	23	performance	performance	NOUN
ap-326	94	24	of	of	ADP
ap-326	94	25	fs	f	NOUN
ap-326	94	26	and	and	CCONJ
ap-326	94	27	tss	tss	NOUN
ap-326	94	28	under	under	ADP
ap-326	94	29	a	a	DET
ap-326	94	30	high	high	ADJ
ap-326	94	31	level	level	NOUN
ap-326	94	32	of	of	ADP
ap-326	94	33	gaussian	gaussian	ADJ
ap-326	94	34	noise	noise	NOUN
ap-326	94	35	.	.	PUNCT
ap-326	95	1	4.2	4.2	NUM
ap-326	95	2	simulation	simulation	NOUN
ap-326	95	3	results	result	VERB
ap-326	95	4	under	under	ADP
ap-326	95	5	the	the	DET
ap-326	95	6	influence	influence	NOUN
ap-326	95	7	of	of	ADP
ap-326	95	8	salt	salt	NOUN
ap-326	95	9	&	&	CCONJ
ap-326	95	10	pepper	pepper	PROPN
ap-326	95	11	(	(	PUNCT
ap-326	95	12	impulse	impulse	ADJ
ap-326	95	13	)	)	PUNCT
ap-326	95	14	noise	noise	NOUN
ap-326	95	15	additive	additive	ADJ
ap-326	95	16	salt	salt	NOUN
ap-326	95	17	&	&	CCONJ
ap-326	95	18	pepper	pepper	NOUN
ap-326	95	19	noise	noise	NOUN
ap-326	95	20	with	with	ADP
ap-326	95	21	different	different	ADJ
ap-326	95	22	noise	noise	NOUN
ap-326	95	23	density	density	NOUN
ap-326	95	24	degraded	degrade	VERB
ap-326	95	25	the	the	DET
ap-326	95	26	three	three	NUM
ap-326	95	27	video	video	NOUN
ap-326	95	28	sequences	sequence	NOUN
ap-326	95	29	.	.	PUNCT
ap-326	96	1	we	we	PRON
ap-326	96	2	applied	apply	VERB
ap-326	96	3	the	the	DET
ap-326	96	4	new	new	ADJ
ap-326	96	5	motion	motion	NOUN
ap-326	96	6	estimation	estimation	NOUN
ap-326	96	7	algorithm	algorithm	NOUN
ap-326	96	8	(	(	PUNCT
ap-326	96	9	mrvbs	mrvbs	X
ap-326	96	10	)	)	PUNCT
ap-326	96	11	to	to	ADP
ap-326	96	12	these	these	DET
ap-326	96	13	sequences	sequence	NOUN
ap-326	96	14	.	.	PUNCT
ap-326	97	1	fig	fig	NOUN
ap-326	97	2	.	.	PUNCT
ap-326	98	1	5	5	NUM
ap-326	98	2	shows	show	VERB
ap-326	98	3	the	the	DET
ap-326	98	4	performance	performance	NOUN
ap-326	98	5	comparison	comparison	NOUN
ap-326	98	6	for	for	ADP
ap-326	98	7	the	the	DET
ap-326	98	8	“	"	PUNCT
ap-326	98	9	foreman	foreman	NOUN
ap-326	98	10	”	"	PUNCT
ap-326	98	11	sequence	sequence	NOUN
ap-326	98	12	with	with	ADP
ap-326	98	13	noise	noise	NOUN
ap-326	98	14	density	density	NOUN
ap-326	98	15	of	of	ADP
ap-326	98	16	40	40	NUM
ap-326	98	17	%	%	NOUN
ap-326	98	18	.	.	PUNCT
ap-326	99	1	fs	f	NOUN
ap-326	99	2	and	and	CCONJ
ap-326	99	3	tss	tss	PROPN
ap-326	99	4	are	be	AUX
ap-326	99	5	performed	perform	VERB
ap-326	99	6	at	at	ADP
ap-326	99	7	layer	layer	NOUN
ap-326	99	8	0	0	NUM
ap-326	99	9	using	use	VERB
ap-326	99	10	a	a	DET
ap-326	99	11	block	block	NOUN
ap-326	99	12	size	size	NOUN
ap-326	99	13	of	of	ADP
ap-326	99	14	16	16	NUM
ap-326	99	15	×	×	NOUN
ap-326	99	16	16	16	NUM
ap-326	99	17	.	.	PUNCT
ap-326	100	1	as	as	ADP
ap-326	100	2	an	an	DET
ap-326	100	3	example	example	NOUN
ap-326	100	4	,	,	PUNCT
ap-326	100	5	the	the	DET
ap-326	100	6	average	average	ADJ
ap-326	100	7	psnr	psnr	NOUN
ap-326	100	8	,	,	PUNCT
ap-326	100	9	psnravg	psnravg	NOUN
ap-326	100	10	(	(	PUNCT
ap-326	100	11	across	across	ADP
ap-326	100	12	all	all	DET
ap-326	100	13	input	input	NOUN
ap-326	100	14	frames	frame	NOUN
ap-326	100	15	)	)	PUNCT
ap-326	100	16	is	be	AUX
ap-326	100	17	plotted	plot	VERB
ap-326	100	18	against	against	ADP
ap-326	100	19	the	the	DET
ap-326	100	20	input	input	NOUN
ap-326	100	21	noise	noise	NOUN
ap-326	100	22	level	level	NOUN
ap-326	100	23	for	for	ADP
ap-326	100	24	the	the	DET
ap-326	100	25	“	"	PUNCT
ap-326	100	26	miss	miss	PROPN
ap-326	100	27	america	america	PROPN
ap-326	100	28	”	"	PUNCT
ap-326	100	29	sequence	sequence	NOUN
ap-326	100	30	in	in	ADP
ap-326	100	31	fig	fig	NOUN
ap-326	100	32	.	.	PUNCT
ap-326	101	1	6	6	NUM
ap-326	101	2	.	.	PUNCT
ap-326	102	1	the	the	DET
ap-326	102	2	performance	performance	NOUN
ap-326	102	3	of	of	ADP
ap-326	102	4	mrvbs	mrvbs	PROPN
ap-326	102	5	is	be	AUX
ap-326	102	6	as	as	ADV
ap-326	102	7	much	much	ADJ
ap-326	102	8	as	as	ADP
ap-326	102	9	8	8	NUM
ap-326	102	10	dbs	dbs	NOUN
ap-326	102	11	better	well	ADJ
ap-326	102	12	than	than	ADP
ap-326	102	13	the	the	DET
ap-326	102	14	other	other	ADJ
ap-326	102	15	performance	performance	NOUN
ap-326	102	16	of	of	ADP
ap-326	102	17	fs	f	NOUN
ap-326	102	18	and	and	CCONJ
ap-326	102	19	tss	tss	NOUN
ap-326	102	20	under	under	ADP
ap-326	102	21	a	a	DET
ap-326	102	22	high	high	ADJ
ap-326	102	23	level	level	NOUN
ap-326	102	24	of	of	ADP
ap-326	102	25	salt	salt	NOUN
ap-326	102	26	&	&	CCONJ
ap-326	102	27	pepper	pepper	PROPN
ap-326	102	28	noise	noise	NOUN
ap-326	102	29	.	.	PUNCT
ap-326	103	1	mrvbs	mrvbs	PROPN
ap-326	103	2	performs	perform	VERB
ap-326	103	3	well	well	ADV
ap-326	103	4	in	in	ADP
ap-326	103	5	the	the	DET
ap-326	103	6	case	case	NOUN
ap-326	103	7	of	of	ADP
ap-326	103	8	salt	salt	NOUN
ap-326	103	9	&	&	CCONJ
ap-326	103	10	pepper	pepper	PROPN
ap-326	103	11	noise	noise	NOUN
ap-326	103	12	,	,	PUNCT
ap-326	103	13	better	well	ADJ
ap-326	103	14	than	than	ADP
ap-326	103	15	the	the	DET
ap-326	103	16	presence	presence	NOUN
ap-326	103	17	of	of	ADP
ap-326	103	18	gaussian	gaussian	ADJ
ap-326	103	19	noise	noise	NOUN
ap-326	103	20	.	.	PUNCT
ap-326	104	1	32	32	NUM
ap-326	105	1	©	©	PROPN
ap-326	105	2	czech	czech	PROPN
ap-326	105	3	technical	technical	PROPN
ap-326	105	4	university	university	PROPN
ap-326	105	5	publishing	publishing	NOUN
ap-326	105	6	house	house	NOUN
ap-326	105	7	http://ctn.cvut.cz/ap/	http://ctn.cvut.cz/ap/	PROPN
ap-326	105	8	acta	acta	PROPN
ap-326	105	9	polytechnica	polytechnica	PROPN
ap-326	105	10	vol	vol	NOUN
ap-326	105	11	.	.	PUNCT
ap-326	106	1	42	42	NUM
ap-326	106	2	no	no	NOUN
ap-326	106	3	.	.	PUNCT
ap-326	107	1	2/2002	2/2002	NUM
ap-326	107	2	32	32	NUM
ap-326	107	3	33	33	NUM
ap-326	107	4	34	34	NUM
ap-326	107	5	35	35	NUM
ap-326	107	6	36	36	NUM
ap-326	107	7	37	37	NUM
ap-326	107	8	38	38	NUM
ap-326	107	9	39	39	NUM
ap-326	107	10	40	40	NUM
ap-326	107	11	41	41	NUM
ap-326	107	12	1	1	NUM
ap-326	107	13	3	3	NUM
ap-326	107	14	5	5	NUM
ap-326	107	15	7	7	NUM
ap-326	107	16	9	9	NUM
ap-326	107	17	1	1	NUM
ap-326	107	18	1	1	NUM
ap-326	107	19	1	1	NUM
ap-326	107	20	3	3	NUM
ap-326	107	21	1	1	NUM
ap-326	107	22	5	5	NUM
ap-326	107	23	1	1	NUM
ap-326	107	24	7	7	NUM
ap-326	107	25	1	1	NUM
ap-326	107	26	9	9	NUM
ap-326	107	27	2	2	NUM
ap-326	107	28	1	1	NUM
ap-326	107	29	2	2	NUM
ap-326	107	30	3	3	NUM
ap-326	107	31	2	2	NUM
ap-326	107	32	5	5	NUM
ap-326	107	33	2	2	NUM
ap-326	107	34	7	7	NUM
ap-326	107	35	2	2	NUM
ap-326	107	36	9	9	NUM
ap-326	107	37	frame	frame	NOUN
ap-326	107	38	no	no	INTJ
ap-326	107	39	.	.	PUNCT
ap-326	108	1	mrvbs	mrvbs	PROPN
ap-326	108	2	fs	fs	ADP
ap-326	108	3	tss	tss	PROPN
ap-326	108	4	p	p	PROPN
ap-326	108	5	s	s	PART
ap-326	109	1	n	n	PRON
ap-326	109	2	r	r	NOUN
ap-326	110	1	[	[	X
ap-326	110	2	d	d	X
ap-326	110	3	b	b	PROPN
ap-326	110	4	s	s	X
ap-326	110	5	]	]	X
ap-326	110	6	fig	fig	NOUN
ap-326	110	7	.	.	PUNCT
ap-326	111	1	3	3	NUM
ap-326	111	2	:	:	PUNCT
ap-326	111	3	psnr	psnr	NOUN
ap-326	111	4	comparisons	comparison	NOUN
ap-326	111	5	of	of	ADP
ap-326	111	6	the	the	DET
ap-326	111	7	mrvbs	mrvbs	ADJ
ap-326	111	8	,	,	PUNCT
ap-326	111	9	tss	tss	NOUN
ap-326	111	10	,	,	PUNCT
ap-326	111	11	and	and	CCONJ
ap-326	111	12	fs	fs	ADP
ap-326	111	13	algorithms	algorithm	NOUN
ap-326	111	14	for	for	ADP
ap-326	111	15	the	the	DET
ap-326	111	16	“	"	PUNCT
ap-326	111	17	miss	miss	PROPN
ap-326	111	18	america	america	PROPN
ap-326	111	19	”	"	PUNCT
ap-326	111	20	sequence	sequence	NOUN
ap-326	111	21	with	with	ADP
ap-326	111	22	gaussian	gaussian	ADJ
ap-326	111	23	noise	noise	NOUN
ap-326	111	24	(	(	PUNCT
ap-326	111	25	snr	snr	PROPN
ap-326	111	26	�	�	PROPN
ap-326	111	27	10	10	NUM
ap-326	111	28	dbs	dbs	PROPN
ap-326	111	29	)	)	PUNCT
ap-326	111	30	27	27	NUM
ap-326	111	31	29	29	NUM
ap-326	111	32	31	31	NUM
ap-326	111	33	33	33	NUM
ap-326	111	34	35	35	NUM
ap-326	111	35	10	10	NUM
ap-326	111	36	15	15	NUM
ap-326	111	37	30	30	NUM
ap-326	111	38	40	40	NUM
ap-326	111	39	50	50	NUM
ap-326	111	40	mrvbs	mrvbs	NOUN
ap-326	111	41	fs	fs	ADP
ap-326	111	42	tss	tss	PROPN
ap-326	111	43	srn	srn	NOUN
ap-326	111	44	[	[	X
ap-326	111	45	dbs	dbs	X
ap-326	111	46	]	]	X
ap-326	111	47	p	p	X
ap-326	111	48	s	s	X
ap-326	111	49	n	n	PRON
ap-326	111	50	r	r	NOUN
ap-326	111	51	a	a	DET
ap-326	111	52	v	v	NOUN
ap-326	111	53	g	g	PROPN
ap-326	111	54	fig	fig	NOUN
ap-326	111	55	.	.	PUNCT
ap-326	112	1	4	4	NUM
ap-326	112	2	:	:	PUNCT
ap-326	112	3	psnr	psnr	NOUN
ap-326	112	4	(	(	PUNCT
ap-326	112	5	average	average	ADJ
ap-326	112	6	)	)	PUNCT
ap-326	112	7	vs.	vs.	X
ap-326	112	8	source	source	NOUN
ap-326	112	9	snr	snr	NOUN
ap-326	112	10	for	for	ADP
ap-326	112	11	the	the	DET
ap-326	112	12	“	"	PUNCT
ap-326	112	13	carphone	carphone	ADJ
ap-326	112	14	”	"	PUNCT
ap-326	112	15	sequence	sequence	NOUN
ap-326	112	16	10	10	NUM
ap-326	112	17	12	12	NUM
ap-326	112	18	14	14	NUM
ap-326	112	19	16	16	NUM
ap-326	112	20	18	18	NUM
ap-326	112	21	20	20	NUM
ap-326	112	22	22	22	NUM
ap-326	112	23	24	24	NUM
ap-326	112	24	26	26	NUM
ap-326	112	25	1	1	NUM
ap-326	112	26	3	3	NUM
ap-326	112	27	5	5	NUM
ap-326	112	28	7	7	NUM
ap-326	112	29	9	9	NUM
ap-326	112	30	11	11	NUM
ap-326	112	31	13	13	NUM
ap-326	112	32	15	15	NUM
ap-326	112	33	17	17	NUM
ap-326	112	34	19	19	NUM
ap-326	112	35	21	21	NUM
ap-326	112	36	23	23	NUM
ap-326	112	37	25	25	NUM
ap-326	112	38	27	27	NUM
ap-326	112	39	29	29	NUM
ap-326	112	40	frame	frame	NOUN
ap-326	112	41	no	no	INTJ
ap-326	112	42	.	.	PUNCT
ap-326	113	1	mrvbs	mrvbs	PROPN
ap-326	113	2	fs	fs	ADP
ap-326	113	3	tss	tss	PROPN
ap-326	113	4	p	p	PROPN
ap-326	113	5	s	s	PART
ap-326	114	1	n	n	PRON
ap-326	114	2	r	r	NOUN
ap-326	115	1	[	[	X
ap-326	115	2	d	d	X
ap-326	115	3	b	b	PROPN
ap-326	115	4	s	s	X
ap-326	115	5	]	]	X
ap-326	115	6	fig	fig	NOUN
ap-326	115	7	.	.	PUNCT
ap-326	116	1	5	5	NUM
ap-326	116	2	:	:	PUNCT
ap-326	116	3	psnr	psnr	NOUN
ap-326	116	4	comparisons	comparison	NOUN
ap-326	116	5	of	of	ADP
ap-326	116	6	the	the	DET
ap-326	116	7	mrvbs	mrvbs	ADJ
ap-326	116	8	,	,	PUNCT
ap-326	116	9	tss	tss	NOUN
ap-326	116	10	,	,	PUNCT
ap-326	116	11	and	and	CCONJ
ap-326	116	12	fs	fs	ADP
ap-326	116	13	algorithms	algorithm	NOUN
ap-326	116	14	for	for	ADP
ap-326	116	15	the	the	DET
ap-326	116	16	“	"	PUNCT
ap-326	116	17	foreman	foreman	NOUN
ap-326	116	18	”	"	PUNCT
ap-326	116	19	sequence	sequence	NOUN
ap-326	116	20	with	with	ADP
ap-326	116	21	salt	salt	NOUN
ap-326	116	22	&	&	CCONJ
ap-326	116	23	pepper	pepper	PROPN
ap-326	116	24	noise	noise	NOUN
ap-326	116	25	(	(	PUNCT
ap-326	116	26	40	40	NUM
ap-326	116	27	%	%	NOUN
ap-326	116	28	)	)	PUNCT
ap-326	116	29	4.3	4.3	NUM
ap-326	116	30	simulation	simulation	NOUN
ap-326	116	31	results	result	VERB
ap-326	116	32	under	under	ADP
ap-326	116	33	the	the	DET
ap-326	116	34	influence	influence	NOUN
ap-326	116	35	of	of	ADP
ap-326	116	36	mixed	mixed	ADJ
ap-326	116	37	noise	noise	NOUN
ap-326	116	38	we	we	PRON
ap-326	116	39	will	will	AUX
ap-326	116	40	now	now	ADV
ap-326	116	41	assess	assess	VERB
ap-326	116	42	the	the	DET
ap-326	116	43	performance	performance	NOUN
ap-326	116	44	of	of	ADP
ap-326	116	45	the	the	DET
ap-326	116	46	proposed	propose	VERB
ap-326	116	47	algorithm	algorithm	NOUN
ap-326	116	48	with	with	ADP
ap-326	116	49	respect	respect	NOUN
ap-326	116	50	to	to	ADP
ap-326	116	51	mixed	mixed	ADJ
ap-326	116	52	gaussian	gaussian	ADJ
ap-326	116	53	noise	noise	NOUN
ap-326	116	54	and	and	CCONJ
ap-326	116	55	impulse	impulse	ADJ
ap-326	116	56	noise	noise	NOUN
ap-326	116	57	.	.	PUNCT
ap-326	117	1	the	the	DET
ap-326	117	2	restoration	restoration	NOUN
ap-326	117	3	result	result	NOUN
ap-326	117	4	for	for	SCONJ
ap-326	117	5	the	the	DET
ap-326	117	6	“	"	PUNCT
ap-326	117	7	miss	miss	PROPN
ap-326	117	8	america	america	PROPN
ap-326	117	9	”	"	PUNCT
ap-326	117	10	videosequence	videosequence	NOUN
ap-326	117	11	is	be	AUX
ap-326	117	12	shown	show	VERB
ap-326	117	13	in	in	ADP
ap-326	117	14	fig	fig	NOUN
ap-326	117	15	.	.	PUNCT
ap-326	117	16	7	7	NUM
ap-326	117	17	for	for	ADP
ap-326	117	18	mixed	mixed	ADJ
ap-326	117	19	gaussian	gaussian	NOUN
ap-326	117	20	(	(	PUNCT
ap-326	117	21	variance	variance	NOUN
ap-326	117	22	�	�	PROPN
ap-326	117	23	200	200	NUM
ap-326	117	24	)	)	PUNCT
ap-326	117	25	and	and	CCONJ
ap-326	117	26	impulse	impulse	ADJ
ap-326	117	27	noise	noise	NOUN
ap-326	117	28	(	(	PUNCT
ap-326	117	29	20	20	NUM
ap-326	117	30	%	%	NOUN
ap-326	117	31	)	)	PUNCT
ap-326	117	32	.	.	PUNCT
ap-326	118	1	from	from	ADP
ap-326	118	2	these	these	DET
ap-326	118	3	tests	test	NOUN
ap-326	118	4	,	,	PUNCT
ap-326	118	5	we	we	PRON
ap-326	118	6	conclude	conclude	VERB
ap-326	118	7	that	that	SCONJ
ap-326	118	8	our	our	PRON
ap-326	118	9	algorithm	algorithm	NOUN
ap-326	118	10	works	work	VERB
ap-326	118	11	extremely	extremely	ADV
ap-326	118	12	well	well	ADV
ap-326	118	13	for	for	SCONJ
ap-326	118	14	video	video	NOUN
ap-326	118	15	sequences	sequence	NOUN
ap-326	118	16	corrupted	corrupt	VERB
ap-326	118	17	with	with	ADP
ap-326	118	18	single	single	ADJ
ap-326	118	19	or	or	CCONJ
ap-326	118	20	mixed	mixed	ADJ
ap-326	118	21	noise	noise	NOUN
ap-326	118	22	.	.	PUNCT
ap-326	119	1	in	in	ADP
ap-326	119	2	addition	addition	NOUN
ap-326	119	3	,	,	PUNCT
ap-326	119	4	for	for	ADP
ap-326	119	5	mixed	mixed	ADJ
ap-326	119	6	gaussian	gaussian	NOUN
ap-326	119	7	(	(	PUNCT
ap-326	119	8	variance	variance	NOUN
ap-326	119	9	�	�	PROPN
ap-326	119	10	200	200	NUM
ap-326	119	11	)	)	PUNCT
ap-326	119	12	and	and	CCONJ
ap-326	119	13	impulse	impulse	ADJ
ap-326	119	14	noise	noise	NOUN
ap-326	119	15	(	(	PUNCT
ap-326	119	16	20	20	NUM
ap-326	119	17	%	%	NOUN
ap-326	119	18	)	)	PUNCT
ap-326	119	19	,	,	PUNCT
ap-326	119	20	fig	fig	NOUN
ap-326	119	21	.	.	PUNCT
ap-326	119	22	8	8	NUM
ap-326	119	23	shows	show	VERB
ap-326	119	24	reconstructed	reconstruct	VERB
ap-326	119	25	frame	frame	NOUN
ap-326	119	26	number	number	NOUN
ap-326	119	27	30	30	NUM
ap-326	119	28	of	of	ADP
ap-326	119	29	the	the	DET
ap-326	119	30	“	"	PUNCT
ap-326	119	31	carphone	carphone	ADJ
ap-326	119	32	”	"	PUNCT
ap-326	119	33	sequence	sequence	NOUN
ap-326	119	34	from	from	ADP
ap-326	119	35	frame	frame	NOUN
ap-326	119	36	number	number	NOUN
ap-326	119	37	29	29	NUM
ap-326	119	38	and	and	CCONJ
ap-326	119	39	motion	motion	NOUN
ap-326	119	40	vectors	vector	NOUN
ap-326	119	41	estimated	estimate	VERB
ap-326	119	42	using	use	VERB
ap-326	119	43	the	the	DET
ap-326	119	44	current	current	ADJ
ap-326	119	45	algorithms	algorithm	NOUN
ap-326	119	46	.	.	PUNCT
ap-326	120	1	5	5	NUM
ap-326	120	2	conclusion	conclusion	NOUN
ap-326	120	3	we	we	PRON
ap-326	120	4	introduced	introduce	VERB
ap-326	120	5	the	the	DET
ap-326	120	6	new	new	ADJ
ap-326	120	7	multi	multi	ADJ
ap-326	120	8	-	-	ADJ
ap-326	120	9	resolution	resolution	ADJ
ap-326	120	10	variable	variable	ADJ
ap-326	120	11	block	block	NOUN
ap-326	120	12	size	size	NOUN
ap-326	120	13	(	(	PUNCT
ap-326	120	14	mrvbs	mrvbs	ADJ
ap-326	120	15	)	)	PUNCT
ap-326	120	16	algorithm	algorithm	NOUN
ap-326	120	17	.	.	PUNCT
ap-326	121	1	this	this	DET
ap-326	121	2	algorithm	algorithm	NOUN
ap-326	121	3	is	be	AUX
ap-326	121	4	based	base	VERB
ap-326	121	5	on	on	ADP
ap-326	121	6	a	a	DET
ap-326	121	7	central	central	ADJ
ap-326	121	8	search	search	NOUN
ap-326	121	9	in	in	ADP
ap-326	121	10	each	each	DET
ap-326	121	11	layer	layer	NOUN
ap-326	121	12	of	of	ADP
ap-326	121	13	the	the	DET
ap-326	121	14	wavelet	wavelet	NOUN
ap-326	121	15	pyramid	pyramid	NOUN
ap-326	121	16	.	.	PUNCT
ap-326	122	1	three	three	NUM
ap-326	122	2	qcif	qcif	ADJ
ap-326	122	3	format	format	NOUN
ap-326	122	4	video	video	NOUN
ap-326	122	5	sequences	sequence	NOUN
ap-326	122	6	corrupted	corrupt	VERB
ap-326	122	7	by	by	ADP
ap-326	122	8	single	single	ADJ
ap-326	122	9	and	and	CCONJ
ap-326	122	10	mixed	mixed	ADJ
ap-326	122	11	©	©	PROPN
ap-326	122	12	czech	czech	PROPN
ap-326	122	13	technical	technical	PROPN
ap-326	122	14	university	university	PROPN
ap-326	122	15	publishing	publishing	NOUN
ap-326	122	16	house	house	NOUN
ap-326	122	17	http://ctn.cvut.cz/ap/	http://ctn.cvut.cz/ap/	PROPN
ap-326	122	18	33	33	NUM
ap-326	122	19	acta	acta	PROPN
ap-326	122	20	polytechnica	polytechnica	PROPN
ap-326	122	21	vol	vol	NOUN
ap-326	122	22	.	.	PUNCT
ap-326	123	1	42	42	NUM
ap-326	123	2	no	no	NOUN
ap-326	123	3	.	.	PUNCT
ap-326	124	1	2/2002	2/2002	NUM
ap-326	124	2	16	16	NUM
ap-326	124	3	20	20	NUM
ap-326	124	4	24	24	NUM
ap-326	124	5	28	28	NUM
ap-326	124	6	32	32	NUM
ap-326	124	7	36	36	NUM
ap-326	124	8	10	10	NUM
ap-326	124	9	20	20	NUM
ap-326	124	10	30	30	NUM
ap-326	124	11	40	40	NUM
ap-326	124	12	noise	noise	NOUN
ap-326	124	13	density	density	NOUN
ap-326	124	14	(	(	PUNCT
ap-326	124	15	%	%	INTJ
ap-326	124	16	)	)	PUNCT
ap-326	124	17	mrvbs	mrvbs	PROPN
ap-326	124	18	fs	fs	ADP
ap-326	124	19	tss	tss	PROPN
ap-326	124	20	p	p	PROPN
ap-326	124	21	s	s	PROPN
ap-326	124	22	n	n	ADP
ap-326	124	23	r	r	NOUN
ap-326	124	24	a	a	DET
ap-326	124	25	v	v	NOUN
ap-326	124	26	g	g	NOUN
ap-326	125	1	[	[	X
ap-326	125	2	d	d	X
ap-326	125	3	b	b	PROPN
ap-326	125	4	s	s	X
ap-326	125	5	]	]	X
ap-326	125	6	fig	fig	NOUN
ap-326	125	7	.	.	PUNCT
ap-326	126	1	6	6	NUM
ap-326	126	2	:	:	PUNCT
ap-326	126	3	psnr	psnr	NOUN
ap-326	126	4	(	(	PUNCT
ap-326	126	5	average	average	ADJ
ap-326	126	6	)	)	PUNCT
ap-326	126	7	vs.	vs.	ADP
ap-326	126	8	source	source	NOUN
ap-326	126	9	for	for	ADP
ap-326	126	10	the	the	DET
ap-326	126	11	“	"	PUNCT
ap-326	126	12	miss	miss	PROPN
ap-326	126	13	america	america	PROPN
ap-326	126	14	”	"	PUNCT
ap-326	126	15	sequence	sequence	NOUN
ap-326	126	16	27	27	NUM
ap-326	126	17	29	29	NUM
ap-326	126	18	31	31	NUM
ap-326	126	19	33	33	NUM
ap-326	126	20	35	35	NUM
ap-326	126	21	37	37	NUM
ap-326	126	22	39	39	NUM
ap-326	126	23	1	1	NUM
ap-326	126	24	3	3	NUM
ap-326	126	25	5	5	NUM
ap-326	126	26	7	7	NUM
ap-326	126	27	9	9	NUM
ap-326	126	28	1	1	NUM
ap-326	126	29	1	1	NUM
ap-326	126	30	1	1	NUM
ap-326	126	31	3	3	NUM
ap-326	126	32	1	1	NUM
ap-326	126	33	5	5	NUM
ap-326	126	34	1	1	NUM
ap-326	126	35	7	7	NUM
ap-326	126	36	1	1	NUM
ap-326	126	37	9	9	NUM
ap-326	126	38	2	2	NUM
ap-326	126	39	1	1	NUM
ap-326	126	40	2	2	NUM
ap-326	126	41	3	3	NUM
ap-326	126	42	2	2	NUM
ap-326	126	43	5	5	NUM
ap-326	126	44	2	2	NUM
ap-326	126	45	7	7	NUM
ap-326	126	46	2	2	NUM
ap-326	126	47	9	9	NUM
ap-326	126	48	frame	frame	NOUN
ap-326	126	49	no	no	NOUN
ap-326	126	50	.	.	PUNCT
ap-326	127	1	tss	tss	PROPN
ap-326	127	2	mrvbs	mrvbs	PROPN
ap-326	127	3	fs	fs	ADP
ap-326	127	4	p	p	PROPN
ap-326	127	5	s	s	PART
ap-326	128	1	n	n	PRON
ap-326	128	2	r	r	NOUN
ap-326	129	1	[	[	X
ap-326	129	2	d	d	X
ap-326	129	3	b	b	PROPN
ap-326	129	4	s	s	X
ap-326	129	5	]	]	X
ap-326	129	6	fig	fig	NOUN
ap-326	129	7	.	.	PUNCT
ap-326	130	1	7	7	NUM
ap-326	130	2	:	:	PUNCT
ap-326	130	3	psnr	psnr	NOUN
ap-326	130	4	comparisons	comparison	NOUN
ap-326	130	5	of	of	ADP
ap-326	130	6	the	the	DET
ap-326	130	7	mrvbs	mrvbs	ADJ
ap-326	130	8	,	,	PUNCT
ap-326	130	9	tss	tss	NOUN
ap-326	130	10	,	,	PUNCT
ap-326	130	11	and	and	CCONJ
ap-326	130	12	fs	fs	ADP
ap-326	130	13	algorithms	algorithm	NOUN
ap-326	130	14	for	for	ADP
ap-326	130	15	the	the	DET
ap-326	130	16	“	"	PUNCT
ap-326	130	17	miss	miss	PROPN
ap-326	130	18	america	america	PROPN
ap-326	130	19	”	"	PUNCT
ap-326	130	20	sequence	sequence	NOUN
ap-326	130	21	under	under	ADP
ap-326	130	22	the	the	DET
ap-326	130	23	influence	influence	NOUN
ap-326	130	24	of	of	ADP
ap-326	130	25	mixed	mixed	ADJ
ap-326	130	26	noise	noise	NOUN
ap-326	130	27	a	a	PRON
ap-326	130	28	)	)	PUNCT
ap-326	130	29	original	original	ADJ
ap-326	130	30	frame	frame	NOUN
ap-326	130	31	no	no	INTJ
ap-326	130	32	.	.	NOUN
ap-326	130	33	30	30	NUM
ap-326	130	34	b	b	NOUN
ap-326	130	35	)	)	PUNCT
ap-326	130	36	reconstructed	reconstruct	VERB
ap-326	130	37	using	use	VERB
ap-326	130	38	mrvbs	mrvbs	PROPN
ap-326	130	39	d	d	NOUN
ap-326	130	40	)	)	PUNCT
ap-326	130	41	reconstructed	reconstruct	VERB
ap-326	130	42	using	use	VERB
ap-326	130	43	tss	tss	PROPN
ap-326	130	44	fig	fig	NOUN
ap-326	130	45	.	.	PUNCT
ap-326	131	1	8	8	NUM
ap-326	131	2	:	:	PUNCT
ap-326	131	3	“	"	PUNCT
ap-326	131	4	foreman	foreman	ADJ
ap-326	131	5	”	"	PUNCT
ap-326	131	6	sequence	sequence	NOUN
ap-326	131	7	:	:	PUNCT
ap-326	131	8	reconstructed	reconstruct	VERB
ap-326	131	9	frame	frame	NOUN
ap-326	131	10	no	no	INTJ
ap-326	131	11	.	.	NOUN
ap-326	131	12	30	30	NUM
ap-326	131	13	using	use	VERB
ap-326	131	14	the	the	DET
ap-326	131	15	mrvbs	mrvbs	ADJ
ap-326	131	16	,	,	PUNCT
ap-326	131	17	tss	tss	NOUN
ap-326	131	18	,	,	PUNCT
ap-326	131	19	and	and	CCONJ
ap-326	131	20	fs	fs	X
ap-326	131	21	under	under	ADP
ap-326	131	22	the	the	DET
ap-326	131	23	mixed	mixed	ADJ
ap-326	131	24	noise	noise	NOUN
ap-326	131	25	c	c	NOUN
ap-326	131	26	)	)	PUNCT
ap-326	131	27	fsreconstructed	fsreconstructe	VERB
ap-326	131	28	using	use	VERB
ap-326	131	29	noise	noise	NOUN
ap-326	131	30	used	use	VERB
ap-326	131	31	for	for	ADP
ap-326	131	32	performance	performance	NOUN
ap-326	131	33	evaluation	evaluation	NOUN
ap-326	131	34	.	.	PUNCT
ap-326	132	1	the	the	DET
ap-326	132	2	results	result	NOUN
ap-326	132	3	show	show	VERB
ap-326	132	4	that	that	SCONJ
ap-326	132	5	mrvbs	mrvbs	PROPN
ap-326	132	6	is	be	AUX
ap-326	132	7	usually	usually	ADV
ap-326	132	8	better	well	ADJ
ap-326	132	9	than	than	ADP
ap-326	132	10	the	the	DET
ap-326	132	11	fs	fs	PROPN
ap-326	132	12	and	and	CCONJ
ap-326	132	13	tss	tss	PROPN
ap-326	132	14	algorithms	algorithm	NOUN
ap-326	132	15	,	,	PUNCT
ap-326	132	16	especially	especially	ADV
ap-326	132	17	with	with	ADP
ap-326	132	18	slow	slow	ADJ
ap-326	132	19	motion	motion	NOUN
ap-326	132	20	video	video	NOUN
ap-326	132	21	sequences	sequence	NOUN
ap-326	132	22	.	.	PUNCT
ap-326	133	1	the	the	DET
ap-326	133	2	psnr	psnr	PROPN
ap-326	133	3	comparisons	comparison	NOUN
ap-326	133	4	show	show	VERB
ap-326	133	5	that	that	SCONJ
ap-326	133	6	,	,	PUNCT
ap-326	133	7	the	the	DET
ap-326	133	8	best	good	ADJ
ap-326	133	9	performance	performance	NOUN
ap-326	133	10	is	be	AUX
ap-326	133	11	in	in	ADP
ap-326	133	12	the	the	DET
ap-326	133	13	case	case	NOUN
ap-326	133	14	of	of	ADP
ap-326	133	15	the	the	DET
ap-326	133	16	miss	miss	PROPN
ap-326	133	17	america	america	PROPN
ap-326	133	18	sequence	sequence	NOUN
ap-326	133	19	(	(	PUNCT
ap-326	133	20	slow	slow	ADJ
ap-326	133	21	motion	motion	NOUN
ap-326	133	22	with	with	ADP
ap-326	133	23	stationary	stationary	ADJ
ap-326	133	24	background	background	NOUN
ap-326	133	25	)	)	PUNCT
ap-326	133	26	.	.	PUNCT
ap-326	134	1	experimentally	experimentally	ADV
ap-326	134	2	,	,	PUNCT
ap-326	134	3	the	the	DET
ap-326	134	4	proposed	propose	VERB
ap-326	134	5	algorithm	algorithm	NOUN
ap-326	134	6	has	have	AUX
ap-326	134	7	been	be	AUX
ap-326	134	8	shown	show	VERB
ap-326	134	9	to	to	PART
ap-326	134	10	significantly	significantly	ADV
ap-326	134	11	outperform	outperform	VERB
ap-326	134	12	the	the	DET
ap-326	134	13	motion	motion	NOUN
ap-326	134	14	estimation	estimation	NOUN
ap-326	134	15	for	for	ADP
ap-326	134	16	these	these	DET
ap-326	134	17	three	three	NUM
ap-326	134	18	types	type	NOUN
ap-326	134	19	of	of	ADP
ap-326	134	20	video	video	NOUN
ap-326	134	21	sequences	sequence	NOUN
ap-326	134	22	for	for	ADP
ap-326	134	23	several	several	ADJ
ap-326	134	24	distinct	distinct	ADJ
ap-326	134	25	noise	noise	NOUN
ap-326	134	26	types	type	NOUN
ap-326	134	27	,	,	PUNCT
ap-326	134	28	including	include	VERB
ap-326	134	29	impulsive	impulsive	ADJ
ap-326	134	30	,	,	PUNCT
ap-326	134	31	gaussian	gaussian	ADJ
ap-326	134	32	,	,	PUNCT
ap-326	134	33	and	and	CCONJ
ap-326	134	34	mixed	mixed	ADJ
ap-326	134	35	impulsive	impulsive	ADJ
ap-326	134	36	gaussian	gaussian	ADJ
ap-326	134	37	noise	noise	NOUN
ap-326	134	38	.	.	PUNCT
ap-326	135	1	from	from	ADP
ap-326	135	2	the	the	DET
ap-326	135	3	experimental	experimental	ADJ
ap-326	135	4	results	result	NOUN
ap-326	135	5	,	,	PUNCT
ap-326	135	6	under	under	ADP
ap-326	135	7	the	the	DET
ap-326	135	8	influence	influence	NOUN
ap-326	135	9	of	of	ADP
ap-326	135	10	mixed	mixed	ADJ
ap-326	135	11	noise	noise	NOUN
ap-326	135	12	,	,	PUNCT
ap-326	135	13	the	the	DET
ap-326	135	14	maximum	maximum	ADJ
ap-326	135	15	improvement	improvement	NOUN
ap-326	135	16	within	within	ADP
ap-326	135	17	the	the	DET
ap-326	135	18	first	first	ADJ
ap-326	135	19	30	30	NUM
ap-326	135	20	-	-	PUNCT
ap-326	135	21	frame	frame	NOUN
ap-326	135	22	was	be	AUX
ap-326	135	23	about	about	ADV
ap-326	135	24	6	6	NUM
ap-326	135	25	dbs	dbs	NOUN
ap-326	135	26	with	with	ADP
ap-326	135	27	the	the	DET
ap-326	135	28	miss	miss	PROPN
ap-326	135	29	america	america	PROPN
ap-326	135	30	sequence	sequence	NOUN
ap-326	135	31	.	.	PUNCT
ap-326	136	1	we	we	PRON
ap-326	136	2	observe	observe	VERB
ap-326	136	3	that	that	SCONJ
ap-326	136	4	the	the	DET
ap-326	136	5	maximum	maximum	ADJ
ap-326	136	6	improvement	improvement	NOUN
ap-326	136	7	in	in	ADP
ap-326	136	8	case	case	NOUN
ap-326	136	9	of	of	ADP
ap-326	136	10	panning	pan	VERB
ap-326	136	11	and	and	CCONJ
ap-326	136	12	object	object	VERB
ap-326	136	13	translation	translation	NOUN
ap-326	136	14	in	in	ADP
ap-326	136	15	the	the	DET
ap-326	136	16	foreman	foreman	NOUN
ap-326	136	17	sequence	sequence	NOUN
ap-326	136	18	is	be	AUX
ap-326	136	19	2.5	2.5	NUM
ap-326	136	20	dbs	db	NOUN
ap-326	136	21	in	in	ADP
ap-326	136	22	comparison	comparison	NOUN
ap-326	136	23	with	with	ADP
ap-326	136	24	the	the	DET
ap-326	136	25	fs	fs	PROPN
ap-326	136	26	algorithm	algorithm	NOUN
ap-326	136	27	.	.	PUNCT
ap-326	137	1	this	this	PRON
ap-326	137	2	supports	support	VERB
ap-326	137	3	our	our	PRON
ap-326	137	4	claim	claim	NOUN
ap-326	137	5	that	that	SCONJ
ap-326	137	6	mrvbs	mrvbs	PROPN
ap-326	137	7	can	can	AUX
ap-326	137	8	be	be	AUX
ap-326	137	9	effectively	effectively	ADV
ap-326	137	10	used	use	VERB
ap-326	137	11	with	with	ADP
ap-326	137	12	noisy	noisy	ADJ
ap-326	137	13	sequences	sequence	NOUN
ap-326	137	14	to	to	PART
ap-326	137	15	get	get	VERB
ap-326	137	16	a	a	DET
ap-326	137	17	better	well	ADJ
ap-326	137	18	estimation	estimation	NOUN
ap-326	137	19	.	.	PUNCT
ap-326	138	1	the	the	DET
ap-326	138	2	simulation	simulation	NOUN
ap-326	138	3	confirms	confirm	VERB
ap-326	138	4	that	that	SCONJ
ap-326	138	5	the	the	DET
ap-326	138	6	proposed	propose	VERB
ap-326	138	7	algorithm	algorithm	NOUN
ap-326	138	8	performs	perform	VERB
ap-326	138	9	better	well	ADJ
ap-326	138	10	than	than	ADP
ap-326	138	11	the	the	DET
ap-326	138	12	fs	fs	PROPN
ap-326	138	13	and	and	CCONJ
ap-326	138	14	tss	tss	NOUN
ap-326	138	15	algorithms	algorithm	NOUN
ap-326	138	16	with	with	ADP
ap-326	138	17	the	the	DET
ap-326	138	18	three	three	NUM
ap-326	138	19	types	type	NOUN
ap-326	138	20	of	of	ADP
ap-326	138	21	motion	motion	NOUN
ap-326	138	22	used	use	VERB
ap-326	138	23	.	.	PUNCT
ap-326	139	1	these	these	DET
ap-326	139	2	gains	gain	NOUN
ap-326	139	3	can	can	AUX
ap-326	139	4	be	be	AUX
ap-326	139	5	observed	observe	VERB
ap-326	139	6	in	in	ADP
ap-326	139	7	terms	term	NOUN
ap-326	139	8	both	both	PRON
ap-326	139	9	of	of	ADP
ap-326	139	10	the	the	DET
ap-326	139	11	perceptual	perceptual	ADJ
ap-326	139	12	quality	quality	NOUN
ap-326	139	13	and	and	CCONJ
ap-326	139	14	of	of	ADP
ap-326	139	15	the	the	DET
ap-326	139	16	psnr	psnr	NOUN
ap-326	139	17	of	of	ADP
ap-326	139	18	the	the	DET
ap-326	139	19	restored	restore	VERB
ap-326	139	20	images	image	NOUN
ap-326	139	21	.	.	PUNCT
ap-326	140	1	it	it	PRON
ap-326	140	2	should	should	AUX
ap-326	140	3	also	also	ADV
ap-326	140	4	be	be	AUX
ap-326	140	5	noted	note	VERB
ap-326	140	6	that	that	SCONJ
ap-326	140	7	since	since	SCONJ
ap-326	140	8	the	the	DET
ap-326	140	9	mrvbs	mrvbs	ADJ
ap-326	140	10	algorithm	algorithm	NOUN
ap-326	140	11	can	can	AUX
ap-326	140	12	contain	contain	VERB
ap-326	140	13	a	a	DET
ap-326	140	14	regular	regular	ADJ
ap-326	140	15	data	data	NOUN
ap-326	140	16	flow	flow	NOUN
ap-326	140	17	through	through	ADP
ap-326	140	18	the	the	DET
ap-326	140	19	entire	entire	ADJ
ap-326	140	20	search	search	NOUN
ap-326	140	21	procedure	procedure	NOUN
ap-326	140	22	,	,	PUNCT
ap-326	140	23	it	it	PRON
ap-326	140	24	is	be	AUX
ap-326	140	25	suitable	suitable	ADJ
ap-326	140	26	for	for	ADP
ap-326	140	27	hardware	hardware	NOUN
ap-326	140	28	implementation	implementation	NOUN
ap-326	140	29	.	.	PUNCT
ap-326	141	1	references	reference	NOUN
ap-326	141	2	[	[	X
ap-326	141	3	1	1	NUM
ap-326	141	4	]	]	SYM
ap-326	141	5	sezan	sezan	NOUN
ap-326	141	6	,	,	PUNCT
ap-326	141	7	m.	m.	NOUN
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ap-326	143	4	,	,	PUNCT
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ap-326	143	6	.	.	PUNCT
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ap-326	145	1	in	in	ADP
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ap-326	147	8	.	.	NOUN
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ap-326	147	10	,	,	PUNCT
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ap-326	148	2	.	.	PUNCT
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ap-326	149	3	]	]	SYM
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ap-326	150	1	in	in	ADP
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ap-326	151	9	,	,	PUNCT
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ap-326	151	13	,	,	PUNCT
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ap-326	151	16	.	.	PUNCT
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ap-326	152	28	.	.	PUNCT
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ap-326	154	7	,	,	PUNCT
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ap-326	154	17	.	.	PUNCT
ap-326	155	1	[	[	X
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ap-326	155	5	,	,	PUNCT
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ap-326	157	9	,	,	PUNCT
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ap-326	158	18	:	:	PUNCT
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ap-326	158	20	i.	i.	PROPN
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ap-326	159	2	.	.	PUNCT
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ap-326	163	2	.	.	PUNCT
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ap-326	163	5	,	,	PUNCT
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ap-326	164	10	,	,	PUNCT
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ap-326	166	17	.	.	PUNCT
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ap-326	171	2	:	:	PUNCT
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