id	sid	tid	token	lemma	pos
ccsj-78	1	1	cultura	cultura	PROPN
ccsj-78	1	2	e	e	PROPN
ccsj-78	1	3	scienza	scienza	PROPN
ccsj-78	1	4	del	del	PROPN
ccsj-78	1	5	colore	colore	PROPN
ccsj-78	1	6	color	color	NOUN
ccsj-78	1	7	culture	culture	NOUN
ccsj-78	1	8	and	and	CCONJ
ccsj-78	1	9	science	science	PROPN
ccsj-78	1	10	29	29	NUM
ccsj-78	1	11	cultura	cultura	NOUN
ccsj-78	1	12	e	e	PROPN
ccsj-78	1	13	scienza	scienza	PROPN
ccsj-78	1	14	del	del	PROPN
ccsj-78	1	15	colore	colore	PROPN
ccsj-78	1	16	color	color	NOUN
ccsj-78	1	17	culture	culture	NOUN
ccsj-78	1	18	and	and	CCONJ
ccsj-78	1	19	science	science	NOUN
ccsj-78	1	20	|	|	ADV
ccsj-78	1	21	07	07	NUM
ccsj-78	1	22	|	|	NOUN
ccsj-78	1	23	2017	2017	NUM
ccsj-78	1	24	issn	issn	PROPN
ccsj-78	1	25	2384	2384	NUM
ccsj-78	1	26	-	-	SYM
ccsj-78	1	27	9568	9568	NUM
ccsj-78	1	28	michela	michela	PROPN
ccsj-78	1	29	lecca	lecca	PROPN
ccsj-78	1	30	lecca@fbk.eu	lecca@fbk.eu	PROPN
ccsj-78	1	31	fondazione	fondazione	PROPN
ccsj-78	1	32	bruno	bruno	PROPN
ccsj-78	1	33	kessler	kessler	PROPN
ccsj-78	1	34	,	,	PUNCT
ccsj-78	1	35	ict	ict	PROPN
ccsj-78	1	36	technologies	technology	NOUN
ccsj-78	1	37	of	of	ADP
ccsj-78	1	38	vision	vision	NOUN
ccsj-78	1	39	,	,	PUNCT
ccsj-78	1	40	trento	trento	PROPN
ccsj-78	1	41	,	,	PUNCT
ccsj-78	1	42	italy	italy	PROPN
ccsj-78	1	43	using	use	VERB
ccsj-78	1	44	color	color	NOUN
ccsj-78	1	45	and	and	CCONJ
ccsj-78	1	46	local	local	ADJ
ccsj-78	1	47	binary	binary	ADJ
ccsj-78	1	48	patterns	pattern	NOUN
ccsj-78	1	49	for	for	ADP
ccsj-78	1	50	texture	texture	ADJ
ccsj-78	1	51	retrieval	retrieval	NOUN
ccsj-78	1	52	abstract	abstract	ADJ
ccsj-78	1	53	texture	texture	NOUN
ccsj-78	1	54	plays	play	VERB
ccsj-78	1	55	a	a	DET
ccsj-78	1	56	crucial	crucial	ADJ
ccsj-78	1	57	role	role	NOUN
ccsj-78	1	58	to	to	PART
ccsj-78	1	59	detect	detect	VERB
ccsj-78	1	60	and	and	CCONJ
ccsj-78	1	61	recognize	recognize	VERB
ccsj-78	1	62	materials	material	NOUN
ccsj-78	1	63	in	in	ADP
ccsj-78	1	64	real	real	ADJ
ccsj-78	1	65	-	-	PUNCT
ccsj-78	1	66	world	world	NOUN
ccsj-78	1	67	pictures	picture	NOUN
ccsj-78	1	68	.	.	PUNCT
ccsj-78	2	1	the	the	DET
ccsj-78	2	2	choice	choice	NOUN
ccsj-78	2	3	of	of	ADP
ccsj-78	2	4	the	the	DET
ccsj-78	2	5	visual	visual	ADJ
ccsj-78	2	6	descriptors	descriptor	NOUN
ccsj-78	2	7	that	that	PRON
ccsj-78	2	8	are	be	AUX
ccsj-78	2	9	the	the	DET
ccsj-78	2	10	most	most	ADV
ccsj-78	2	11	appropriate	appropriate	ADJ
ccsj-78	2	12	for	for	ADP
ccsj-78	2	13	the	the	DET
ccsj-78	2	14	detection	detection	NOUN
ccsj-78	2	15	and	and	CCONJ
ccsj-78	2	16	recognition	recognition	NOUN
ccsj-78	2	17	tasks	task	NOUN
ccsj-78	2	18	is	be	AUX
ccsj-78	2	19	generally	generally	ADV
ccsj-78	2	20	a	a	DET
ccsj-78	2	21	hard	hard	ADJ
ccsj-78	2	22	issue	issue	NOUN
ccsj-78	2	23	,	,	PUNCT
ccsj-78	2	24	due	due	ADP
ccsj-78	2	25	to	to	ADP
ccsj-78	2	26	the	the	DET
ccsj-78	2	27	wide	wide	ADJ
ccsj-78	2	28	range	range	NOUN
ccsj-78	2	29	of	of	ADP
ccsj-78	2	30	circumstances	circumstance	NOUN
ccsj-78	2	31	under	under	ADP
ccsj-78	2	32	which	which	PRON
ccsj-78	2	33	the	the	DET
ccsj-78	2	34	imaged	image	VERB
ccsj-78	2	35	objects	object	NOUN
ccsj-78	2	36	can	can	AUX
ccsj-78	2	37	appear	appear	VERB
ccsj-78	2	38	.	.	PUNCT
ccsj-78	3	1	this	this	DET
ccsj-78	3	2	work	work	NOUN
ccsj-78	3	3	addresses	address	VERB
ccsj-78	3	4	the	the	DET
ccsj-78	3	5	problem	problem	NOUN
ccsj-78	3	6	of	of	ADP
ccsj-78	3	7	the	the	DET
ccsj-78	3	8	illuminant	illuminant	ADJ
ccsj-78	3	9	invariant	invariant	ADJ
ccsj-78	3	10	texture	texture	NOUN
ccsj-78	3	11	retrieval	retrieval	NOUN
ccsj-78	3	12	,	,	PUNCT
ccsj-78	3	13	and	and	CCONJ
ccsj-78	3	14	it	it	PRON
ccsj-78	3	15	proposes	propose	VERB
ccsj-78	3	16	two	two	NUM
ccsj-78	3	17	algorithms	algorithm	NOUN
ccsj-78	3	18	that	that	PRON
ccsj-78	3	19	combine	combine	VERB
ccsj-78	3	20	illuminant	illuminant	ADJ
ccsj-78	3	21	invariant	invariant	ADJ
ccsj-78	3	22	color	color	NOUN
ccsj-78	3	23	information	information	NOUN
ccsj-78	3	24	with	with	ADP
ccsj-78	3	25	the	the	DET
ccsj-78	3	26	textural	textural	ADJ
ccsj-78	3	27	cues	cue	NOUN
ccsj-78	3	28	output	output	NOUN
ccsj-78	3	29	by	by	ADP
ccsj-78	3	30	the	the	DET
ccsj-78	3	31	local	local	ADJ
ccsj-78	3	32	binary	binary	NOUN
ccsj-78	3	33	pattern	pattern	NOUN
ccsj-78	3	34	(	(	PUNCT
ccsj-78	3	35	lbp	lbp	NOUN
ccsj-78	3	36	)	)	PUNCT
ccsj-78	3	37	operator	operator	NOUN
ccsj-78	3	38	.	.	PUNCT
ccsj-78	4	1	the	the	DET
ccsj-78	4	2	experiments	experiment	NOUN
ccsj-78	4	3	,	,	PUNCT
ccsj-78	4	4	carried	carry	VERB
ccsj-78	4	5	out	out	ADP
ccsj-78	4	6	on	on	ADP
ccsj-78	4	7	a	a	DET
ccsj-78	4	8	public	public	ADJ
ccsj-78	4	9	database	database	NOUN
ccsj-78	4	10	,	,	PUNCT
ccsj-78	4	11	show	show	VERB
ccsj-78	4	12	that	that	SCONJ
ccsj-78	4	13	the	the	DET
ccsj-78	4	14	joint	joint	ADJ
ccsj-78	4	15	use	use	NOUN
ccsj-78	4	16	of	of	ADP
ccsj-78	4	17	color	color	NOUN
ccsj-78	4	18	and	and	CCONJ
ccsj-78	4	19	texture	texture	NOUN
ccsj-78	4	20	features	feature	NOUN
ccsj-78	4	21	remarkably	remarkably	ADV
ccsj-78	4	22	improves	improve	VERB
ccsj-78	4	23	the	the	DET
ccsj-78	4	24	retrieval	retrieval	NOUN
ccsj-78	4	25	performance	performance	NOUN
ccsj-78	4	26	of	of	ADP
ccsj-78	4	27	techniques	technique	NOUN
ccsj-78	4	28	based	base	VERB
ccsj-78	4	29	on	on	ADP
ccsj-78	4	30	lbp	lbp	PROPN
ccsj-78	4	31	only	only	ADV
ccsj-78	4	32	.	.	PUNCT
ccsj-78	5	1	keywords	keyword	VERB
ccsj-78	5	2	image	image	NOUN
ccsj-78	5	3	retrieval	retrieval	NOUN
ccsj-78	5	4	,	,	PUNCT
ccsj-78	5	5	color	color	NOUN
ccsj-78	5	6	,	,	PUNCT
ccsj-78	5	7	texture	texture	NOUN
ccsj-78	5	8	,	,	PUNCT
ccsj-78	5	9	local	local	ADJ
ccsj-78	5	10	binary	binary	ADJ
ccsj-78	5	11	patterns	pattern	NOUN
ccsj-78	5	12	citation	citation	NOUN
ccsj-78	5	13	:	:	PUNCT
ccsj-78	5	14	lecca	lecca	PROPN
ccsj-78	5	15	m.	m.	PROPN
ccsj-78	5	16	(	(	PUNCT
ccsj-78	5	17	2017	2017	NUM
ccsj-78	5	18	)	)	PUNCT
ccsj-78	5	19	‘	'	PUNCT
ccsj-78	5	20	using	use	VERB
ccsj-78	5	21	color	color	NOUN
ccsj-78	5	22	and	and	CCONJ
ccsj-78	5	23	local	local	ADJ
ccsj-78	5	24	binary	binary	ADJ
ccsj-78	5	25	patterns	pattern	NOUN
ccsj-78	5	26	for	for	ADP
ccsj-78	5	27	texture	texture	ADJ
ccsj-78	5	28	retrieval	retrieval	NOUN
ccsj-78	5	29	’	'	PUNCT
ccsj-78	5	30	,	,	PUNCT
ccsj-78	5	31	cultura	cultura	PROPN
ccsj-78	5	32	e	e	PROPN
ccsj-78	5	33	scienza	scienza	PROPN
ccsj-78	5	34	del	del	PROPN
ccsj-78	5	35	colore	colore	PROPN
ccsj-78	5	36	color	color	NOUN
ccsj-78	5	37	culture	culture	NOUN
ccsj-78	5	38	and	and	CCONJ
ccsj-78	5	39	science	science	NOUN
ccsj-78	5	40	journal	journal	NOUN
ccsj-78	5	41	,	,	PUNCT
ccsj-78	5	42	07	07	NUM
ccsj-78	5	43	,	,	PUNCT
ccsj-78	5	44	pp	pp	ADJ
ccsj-78	5	45	.	.	PUNCT
ccsj-78	6	1	29	29	NUM
ccsj-78	6	2	-	-	SYM
ccsj-78	6	3	38	38	NUM
ccsj-78	6	4	,	,	PUNCT
ccsj-78	6	5	doi	doi	NOUN
ccsj-78	6	6	:	:	PUNCT
ccsj-78	6	7	10.23738	10.23738	NUM
ccsj-78	6	8	/	/	SYM
ccsj-78	6	9	ccsj.i72017.03	ccsj.i72017.03	NOUN
ccsj-78	6	10	received	receive	VERB
ccsj-78	6	11	25	25	NUM
ccsj-78	6	12	january	january	PROPN
ccsj-78	6	13	2016	2016	NUM
ccsj-78	6	14	;	;	PUNCT
ccsj-78	6	15	revised	revise	VERB
ccsj-78	6	16	08	08	NUM
ccsj-78	6	17	may	may	PROPN
ccsj-78	6	18	2017	2017	NUM
ccsj-78	6	19	;	;	PUNCT
ccsj-78	6	20	accepted	accept	VERB
ccsj-78	6	21	14	14	NUM
ccsj-78	6	22	may	may	PROPN
ccsj-78	6	23	2017	2017	NUM
ccsj-78	6	24	michela	michela	PROPN
ccsj-78	6	25	lecca	lecca	PROPN
ccsj-78	6	26	is	be	AUX
ccsj-78	6	27	a	a	DET
ccsj-78	6	28	permanent	permanent	ADJ
ccsj-78	6	29	researcher	researcher	NOUN
ccsj-78	6	30	of	of	ADP
ccsj-78	6	31	the	the	DET
ccsj-78	6	32	research	research	NOUN
ccsj-78	6	33	unit	unit	NOUN
ccsj-78	6	34	technologies	technology	NOUN
ccsj-78	6	35	of	of	ADP
ccsj-78	6	36	vision	vision	NOUN
ccsj-78	6	37	of	of	ADP
ccsj-78	6	38	fondazione	fondazione	PROPN
ccsj-78	6	39	bruno	bruno	PROPN
ccsj-78	6	40	kessler	kessler	PROPN
ccsj-78	6	41	(	(	PUNCT
ccsj-78	6	42	trento	trento	PROPN
ccsj-78	6	43	,	,	PUNCT
ccsj-78	6	44	italy	italy	PROPN
ccsj-78	6	45	)	)	PUNCT
ccsj-78	6	46	.	.	PUNCT
ccsj-78	7	1	her	her	PRON
ccsj-78	7	2	research	research	NOUN
ccsj-78	7	3	interests	interest	NOUN
ccsj-78	7	4	include	include	VERB
ccsj-78	7	5	color	color	NOUN
ccsj-78	7	6	image	image	NOUN
ccsj-78	7	7	processing	processing	NOUN
ccsj-78	7	8	,	,	PUNCT
ccsj-78	7	9	object	object	NOUN
ccsj-78	7	10	recognition	recognition	NOUN
ccsj-78	7	11	,	,	PUNCT
ccsj-78	7	12	image	image	NOUN
ccsj-78	7	13	retrieval	retrieval	NOUN
ccsj-78	7	14	and	and	CCONJ
ccsj-78	7	15	labeling	labeling	NOUN
ccsj-78	7	16	,	,	PUNCT
ccsj-78	7	17	and	and	CCONJ
ccsj-78	7	18	low	low	ADJ
ccsj-78	7	19	-	-	PUNCT
ccsj-78	7	20	level	level	NOUN
ccsj-78	7	21	image	image	NOUN
ccsj-78	7	22	processing	processing	NOUN
ccsj-78	7	23	for	for	ADP
ccsj-78	7	24	embedded	embed	VERB
ccsj-78	7	25	vision	vision	NOUN
ccsj-78	7	26	systems	system	NOUN
ccsj-78	7	27	.	.	PUNCT
ccsj-78	8	1	she	she	PRON
ccsj-78	8	2	is	be	AUX
ccsj-78	8	3	a	a	DET
ccsj-78	8	4	member	member	NOUN
ccsj-78	8	5	of	of	ADP
ccsj-78	8	6	the	the	DET
ccsj-78	8	7	international	international	ADJ
ccsj-78	8	8	association	association	NOUN
ccsj-78	8	9	for	for	ADP
ccsj-78	8	10	pattern	pattern	NOUN
ccsj-78	8	11	recognition	recognition	NOUN
ccsj-78	8	12	iapr	iapr	NOUN
ccsj-78	8	13	-	-	PUNCT
ccsj-78	8	14	girpr	girpr	PROPN
ccsj-78	8	15	and	and	CCONJ
ccsj-78	8	16	of	of	ADP
ccsj-78	8	17	the	the	DET
ccsj-78	8	18	gruppo	gruppo	ADJ
ccsj-78	8	19	italiano	italiano	NOUN
ccsj-78	8	20	del	del	X
ccsj-78	8	21	colore	colore	PROPN
ccsj-78	8	22	-	-	PUNCT
ccsj-78	8	23	associazione	associazione	ADJ
ccsj-78	8	24	italiana	italiana	PROPN
ccsj-78	8	25	colore	colore	PROPN
ccsj-78	8	26	.	.	PUNCT
ccsj-78	9	1	30	30	NUM
ccsj-78	9	2	cultura	cultura	NOUN
ccsj-78	9	3	e	e	PROPN
ccsj-78	9	4	scienza	scienza	PROPN
ccsj-78	9	5	del	del	PROPN
ccsj-78	9	6	colore	colore	PROPN
ccsj-78	9	7	color	color	NOUN
ccsj-78	9	8	culture	culture	NOUN
ccsj-78	9	9	and	and	CCONJ
ccsj-78	9	10	science	science	NOUN
ccsj-78	9	11	|	|	ADV
ccsj-78	9	12	07	07	NUM
ccsj-78	10	1	|	|	NOUN
ccsj-78	10	2	2017	2017	NUM
ccsj-78	10	3	|	|	ADV
ccsj-78	10	4	29	29	NUM
ccsj-78	10	5	38	38	NUM
ccsj-78	10	6	lecca	lecca	PROPN
ccsj-78	10	7	m.	m.	PROPN
ccsj-78	10	8	issn	issn	PROPN
ccsj-78	10	9	2384	2384	NUM
ccsj-78	10	10	-	-	SYM
ccsj-78	10	11	9568	9568	NUM
ccsj-78	10	12	doi	doi	NOUN
ccsj-78	10	13	:	:	PUNCT
ccsj-78	10	14	10.23738	10.23738	NUM
ccsj-78	10	15	/	/	SYM
ccsj-78	10	16	ccsj.i72017.03	ccsj.i72017.03	ADJ
ccsj-78	10	17	1	1	NUM
ccsj-78	10	18	.	.	PUNCT
ccsj-78	10	19	introduction	introduction	NOUN
ccsj-78	10	20	image	image	NOUN
ccsj-78	10	21	retrieval	retrieval	NOUN
ccsj-78	10	22	consists	consist	VERB
ccsj-78	10	23	of	of	ADP
ccsj-78	10	24	detecting	detect	VERB
ccsj-78	10	25	a	a	DET
ccsj-78	10	26	visual	visual	ADJ
ccsj-78	10	27	correspondence	correspondence	NOUN
ccsj-78	10	28	between	between	ADP
ccsj-78	10	29	images	image	NOUN
ccsj-78	10	30	.	.	PUNCT
ccsj-78	11	1	precisely	precisely	ADV
ccsj-78	11	2	,	,	PUNCT
ccsj-78	11	3	given	give	VERB
ccsj-78	11	4	a	a	DET
ccsj-78	11	5	database	database	NOUN
ccsj-78	11	6	of	of	ADP
ccsj-78	11	7	known	know	VERB
ccsj-78	11	8	images	image	NOUN
ccsj-78	11	9	,	,	PUNCT
ccsj-78	11	10	said	say	VERB
ccsj-78	11	11	references	reference	NOUN
ccsj-78	11	12	,	,	PUNCT
ccsj-78	11	13	and	and	CCONJ
ccsj-78	11	14	given	give	VERB
ccsj-78	11	15	a	a	DET
ccsj-78	11	16	(	(	PUNCT
ccsj-78	11	17	possible	possible	ADJ
ccsj-78	11	18	)	)	PUNCT
ccsj-78	11	19	new	new	ADJ
ccsj-78	11	20	,	,	PUNCT
ccsj-78	11	21	previously	previously	ADV
ccsj-78	11	22	unseen	unseen	ADJ
ccsj-78	11	23	image	image	NOUN
ccsj-78	11	24	,	,	PUNCT
ccsj-78	11	25	said	say	VERB
ccsj-78	11	26	query	query	NOUN
ccsj-78	11	27	,	,	PUNCT
ccsj-78	11	28	the	the	DET
ccsj-78	11	29	problem	problem	NOUN
ccsj-78	11	30	is	be	AUX
ccsj-78	11	31	to	to	PART
ccsj-78	11	32	find	find	VERB
ccsj-78	11	33	out	out	ADP
ccsj-78	11	34	from	from	ADP
ccsj-78	11	35	the	the	DET
ccsj-78	11	36	database	database	NOUN
ccsj-78	11	37	the	the	DET
ccsj-78	11	38	reference	reference	NOUN
ccsj-78	11	39	that	that	PRON
ccsj-78	11	40	is	be	AUX
ccsj-78	11	41	the	the	DET
ccsj-78	11	42	most	most	ADV
ccsj-78	11	43	similar	similar	ADJ
ccsj-78	11	44	to	to	ADP
ccsj-78	11	45	the	the	DET
ccsj-78	11	46	query	query	NOUN
ccsj-78	11	47	.	.	PUNCT
ccsj-78	12	1	the	the	DET
ccsj-78	12	2	visual	visual	ADJ
ccsj-78	12	3	similarity	similarity	NOUN
ccsj-78	12	4	is	be	AUX
ccsj-78	12	5	defined	define	VERB
ccsj-78	12	6	as	as	ADP
ccsj-78	12	7	a	a	DET
ccsj-78	12	8	matching	matching	NOUN
ccsj-78	12	9	function	function	NOUN
ccsj-78	12	10	(	(	PUNCT
ccsj-78	12	11	e.g.	e.g.	ADV
ccsj-78	12	12	a	a	DET
ccsj-78	12	13	distance	distance	NOUN
ccsj-78	12	14	)	)	PUNCT
ccsj-78	12	15	between	between	ADP
ccsj-78	12	16	some	some	DET
ccsj-78	12	17	visual	visual	ADJ
ccsj-78	12	18	features	feature	NOUN
ccsj-78	12	19	,	,	PUNCT
ccsj-78	12	20	like	like	ADP
ccsj-78	12	21	color	color	NOUN
ccsj-78	12	22	or	or	CCONJ
ccsj-78	12	23	edges	edge	NOUN
ccsj-78	12	24	distributions	distribution	NOUN
ccsj-78	12	25	,	,	PUNCT
ccsj-78	12	26	that	that	PRON
ccsj-78	12	27	are	be	AUX
ccsj-78	12	28	relevant	relevant	ADJ
ccsj-78	12	29	to	to	ADP
ccsj-78	12	30	the	the	DET
ccsj-78	12	31	retrieval	retrieval	NOUN
ccsj-78	12	32	task	task	NOUN
ccsj-78	12	33	.	.	PUNCT
ccsj-78	13	1	in	in	ADP
ccsj-78	13	2	general	general	ADJ
ccsj-78	13	3	,	,	PUNCT
ccsj-78	13	4	the	the	DET
ccsj-78	13	5	choice	choice	NOUN
ccsj-78	13	6	of	of	ADP
ccsj-78	13	7	the	the	DET
ccsj-78	13	8	features	feature	NOUN
ccsj-78	13	9	and	and	CCONJ
ccsj-78	13	10	of	of	ADP
ccsj-78	13	11	the	the	DET
ccsj-78	13	12	matching	matching	NOUN
ccsj-78	13	13	function	function	NOUN
ccsj-78	13	14	,	,	PUNCT
ccsj-78	13	15	that	that	PRON
ccsj-78	13	16	allow	allow	VERB
ccsj-78	13	17	the	the	DET
ccsj-78	13	18	highest	high	ADJ
ccsj-78	13	19	retrieval	retrieval	NOUN
ccsj-78	13	20	performance	performance	NOUN
ccsj-78	13	21	,	,	PUNCT
ccsj-78	13	22	is	be	AUX
ccsj-78	13	23	a	a	DET
ccsj-78	13	24	hard	hard	ADJ
ccsj-78	13	25	issue	issue	NOUN
ccsj-78	13	26	[	[	X
ccsj-78	13	27	1	1	NUM
ccsj-78	13	28	]	]	PUNCT
ccsj-78	13	29	.	.	PUNCT
ccsj-78	14	1	moreover	moreover	ADV
ccsj-78	14	2	,	,	PUNCT
ccsj-78	14	3	the	the	DET
ccsj-78	14	4	visual	visual	ADJ
ccsj-78	14	5	features	feature	NOUN
ccsj-78	14	6	,	,	PUNCT
ccsj-78	14	7	as	as	ADV
ccsj-78	14	8	well	well	ADV
ccsj-78	14	9	as	as	ADP
ccsj-78	14	10	the	the	DET
ccsj-78	14	11	matching	matching	NOUN
ccsj-78	14	12	function	function	NOUN
ccsj-78	14	13	,	,	PUNCT
ccsj-78	14	14	are	be	AUX
ccsj-78	14	15	often	often	ADV
ccsj-78	14	16	required	require	VERB
ccsj-78	14	17	to	to	PART
ccsj-78	14	18	be	be	AUX
ccsj-78	14	19	robust	robust	ADJ
ccsj-78	14	20	to	to	ADP
ccsj-78	14	21	possible	possible	ADJ
ccsj-78	14	22	image	image	NOUN
ccsj-78	14	23	variations	variation	NOUN
ccsj-78	14	24	,	,	PUNCT
ccsj-78	14	25	such	such	ADJ
ccsj-78	14	26	as	as	ADP
ccsj-78	14	27	changes	change	NOUN
ccsj-78	14	28	of	of	ADP
ccsj-78	14	29	size	size	NOUN
ccsj-78	14	30	,	,	PUNCT
ccsj-78	14	31	orientation	orientation	NOUN
ccsj-78	14	32	,	,	PUNCT
ccsj-78	14	33	and	and	CCONJ
ccsj-78	14	34	light	light	ADJ
ccsj-78	14	35	conditions	condition	NOUN
ccsj-78	14	36	.	.	PUNCT
ccsj-78	15	1	this	this	DET
ccsj-78	15	2	work	work	NOUN
ccsj-78	15	3	,	,	PUNCT
ccsj-78	15	4	that	that	PRON
ccsj-78	15	5	has	have	AUX
ccsj-78	15	6	been	be	AUX
ccsj-78	15	7	presented	present	VERB
ccsj-78	15	8	in	in	ADP
ccsj-78	15	9	[	[	X
ccsj-78	15	10	2	2	NUM
ccsj-78	15	11	]	]	PUNCT
ccsj-78	15	12	at	at	ADP
ccsj-78	15	13	the	the	DET
ccsj-78	15	14	10th	10th	ADJ
ccsj-78	15	15	colour	colour	NOUN
ccsj-78	15	16	conference	conference	NOUN
ccsj-78	15	17	,	,	PUNCT
ccsj-78	15	18	focuses	focus	VERB
ccsj-78	15	19	on	on	ADP
ccsj-78	15	20	the	the	DET
ccsj-78	15	21	retrieval	retrieval	NOUN
ccsj-78	15	22	of	of	ADP
ccsj-78	15	23	color	color	NOUN
ccsj-78	15	24	pictures	picture	NOUN
ccsj-78	15	25	,	,	PUNCT
ccsj-78	15	26	where	where	SCONJ
ccsj-78	15	27	references	reference	NOUN
ccsj-78	15	28	and	and	CCONJ
ccsj-78	15	29	queries	query	NOUN
ccsj-78	15	30	depict	depict	VERB
ccsj-78	15	31	the	the	DET
ccsj-78	15	32	same	same	ADJ
ccsj-78	15	33	textured	textured	ADJ
ccsj-78	15	34	materials	material	NOUN
ccsj-78	15	35	but	but	CCONJ
ccsj-78	15	36	acquired	acquire	VERB
ccsj-78	15	37	under	under	ADP
ccsj-78	15	38	different	different	ADJ
ccsj-78	15	39	lights	light	NOUN
ccsj-78	15	40	.	.	PUNCT
ccsj-78	16	1	precisely	precisely	ADV
ccsj-78	16	2	,	,	PUNCT
ccsj-78	16	3	this	this	DET
ccsj-78	16	4	paper	paper	NOUN
ccsj-78	16	5	reports	report	VERB
ccsj-78	16	6	two	two	NUM
ccsj-78	16	7	algorithms	algorithm	NOUN
ccsj-78	16	8	performing	perform	VERB
ccsj-78	16	9	colorbased	colorbase	VERB
ccsj-78	16	10	illuminant	illuminant	ADJ
ccsj-78	16	11	invariant	invariant	ADJ
ccsj-78	16	12	texture	texture	NOUN
ccsj-78	16	13	retrieval	retrieval	NOUN
ccsj-78	16	14	.	.	PUNCT
ccsj-78	17	1	both	both	DET
ccsj-78	17	2	these	these	DET
ccsj-78	17	3	algorithms	algorithm	NOUN
ccsj-78	17	4	describe	describe	VERB
ccsj-78	17	5	the	the	DET
ccsj-78	17	6	visual	visual	ADJ
ccsj-78	17	7	appearance	appearance	NOUN
ccsj-78	17	8	of	of	ADP
ccsj-78	17	9	an	an	DET
ccsj-78	17	10	image	image	NOUN
ccsj-78	17	11	by	by	ADP
ccsj-78	17	12	combining	combine	VERB
ccsj-78	17	13	illuminant	illuminant	ADJ
ccsj-78	17	14	invariant	invariant	ADJ
ccsj-78	17	15	color	color	NOUN
ccsj-78	17	16	information	information	NOUN
ccsj-78	17	17	with	with	ADP
ccsj-78	17	18	the	the	DET
ccsj-78	17	19	textural	textural	ADJ
ccsj-78	17	20	cues	cue	NOUN
ccsj-78	17	21	output	output	NOUN
ccsj-78	17	22	by	by	ADP
ccsj-78	17	23	the	the	DET
ccsj-78	17	24	local	local	ADJ
ccsj-78	17	25	binary	binary	NOUN
ccsj-78	17	26	pattern	pattern	NOUN
ccsj-78	17	27	(	(	PUNCT
ccsj-78	17	28	lbp	lbp	NOUN
ccsj-78	17	29	)	)	PUNCT
ccsj-78	17	30	operator	operator	NOUN
ccsj-78	17	31	[	[	X
ccsj-78	17	32	3	3	NUM
ccsj-78	17	33	]	]	PUNCT
ccsj-78	17	34	,	,	PUNCT
ccsj-78	17	35	and	and	CCONJ
ccsj-78	17	36	perform	perform	VERB
ccsj-78	17	37	image	image	NOUN
ccsj-78	17	38	retrieval	retrieval	NOUN
ccsj-78	17	39	by	by	ADP
ccsj-78	17	40	a	a	DET
ccsj-78	17	41	nearest	near	ADJ
ccsj-78	17	42	neighbor	neighbor	NOUN
ccsj-78	17	43	classifier	classifier	NOUN
ccsj-78	17	44	.	.	PUNCT
ccsj-78	18	1	in	in	ADP
ccsj-78	18	2	agreement	agreement	NOUN
ccsj-78	18	3	with	with	ADP
ccsj-78	18	4	previous	previous	ADJ
ccsj-78	18	5	works	work	NOUN
ccsj-78	18	6	[	[	X
ccsj-78	18	7	4	4	X
ccsj-78	18	8	]	]	X
ccsj-78	18	9	[	[	X
ccsj-78	18	10	5	5	NUM
ccsj-78	18	11	]	]	X
ccsj-78	18	12	[	[	X
ccsj-78	18	13	6	6	NUM
ccsj-78	18	14	]	]	X
ccsj-78	18	15	[	[	X
ccsj-78	18	16	7	7	NUM
ccsj-78	18	17	]	]	PUNCT
ccsj-78	18	18	,	,	PUNCT
ccsj-78	18	19	this	this	DET
ccsj-78	18	20	paper	paper	NOUN
ccsj-78	18	21	empirically	empirically	ADV
ccsj-78	18	22	shows	show	VERB
ccsj-78	18	23	that	that	SCONJ
ccsj-78	18	24	the	the	DET
ccsj-78	18	25	addition	addition	NOUN
ccsj-78	18	26	of	of	ADP
ccsj-78	18	27	the	the	DET
ccsj-78	18	28	color	color	NOUN
ccsj-78	18	29	features	feature	VERB
ccsj-78	18	30	to	to	ADP
ccsj-78	18	31	lbps	lbps	NOUN
ccsj-78	18	32	remarkably	remarkably	ADV
ccsj-78	18	33	increases	increase	VERB
ccsj-78	18	34	the	the	DET
ccsj-78	18	35	retrieval	retrieval	NOUN
ccsj-78	18	36	performance	performance	NOUN
ccsj-78	18	37	of	of	ADP
ccsj-78	18	38	the	the	DET
ccsj-78	18	39	techniques	technique	NOUN
ccsj-78	18	40	based	base	VERB
ccsj-78	18	41	on	on	ADP
ccsj-78	18	42	the	the	DET
ccsj-78	18	43	lbp	lbp	NOUN
ccsj-78	18	44	analysis	analysis	NOUN
ccsj-78	19	1	only	only	ADV
ccsj-78	19	2	[	[	X
ccsj-78	19	3	3	3	X
ccsj-78	19	4	]	]	X
ccsj-78	19	5	[	[	X
ccsj-78	19	6	7	7	NUM
ccsj-78	19	7	]	]	PUNCT
ccsj-78	19	8	.	.	PUNCT
ccsj-78	20	1	the	the	DET
ccsj-78	20	2	lbp	lbp	PROPN
ccsj-78	20	3	operator	operator	NOUN
ccsj-78	20	4	detects	detect	NOUN
ccsj-78	20	5	image	image	NOUN
ccsj-78	20	6	microstructures	microstructure	NOUN
ccsj-78	20	7	(	(	PUNCT
ccsj-78	20	8	e.g.	e.g.	ADV
ccsj-78	20	9	edges	edge	NOUN
ccsj-78	20	10	,	,	PUNCT
ccsj-78	20	11	lines	line	NOUN
ccsj-78	20	12	,	,	PUNCT
ccsj-78	20	13	flat	flat	ADJ
ccsj-78	20	14	regions	region	NOUN
ccsj-78	20	15	)	)	PUNCT
ccsj-78	20	16	,	,	PUNCT
ccsj-78	20	17	that	that	PRON
ccsj-78	20	18	are	be	AUX
ccsj-78	20	19	represented	represent	VERB
ccsj-78	20	20	by	by	ADP
ccsj-78	20	21	binary	binary	ADJ
ccsj-78	20	22	vectors	vector	NOUN
ccsj-78	20	23	,	,	PUNCT
ccsj-78	20	24	called	call	VERB
ccsj-78	20	25	lbp	lbp	PROPN
ccsj-78	20	26	,	,	PUNCT
ccsj-78	20	27	usually	usually	ADV
ccsj-78	20	28	normalized	normalize	VERB
ccsj-78	20	29	in	in	ADP
ccsj-78	20	30	order	order	NOUN
ccsj-78	20	31	to	to	PART
ccsj-78	20	32	be	be	AUX
ccsj-78	20	33	robust	robust	ADJ
ccsj-78	20	34	against	against	ADP
ccsj-78	20	35	in	in	ADP
ccsj-78	20	36	-	-	PUNCT
ccsj-78	20	37	plane	plane	NOUN
ccsj-78	20	38	rotation	rotation	NOUN
ccsj-78	20	39	of	of	ADP
ccsj-78	20	40	the	the	DET
ccsj-78	20	41	image	image	NOUN
ccsj-78	20	42	[	[	X
ccsj-78	20	43	3	3	NUM
ccsj-78	20	44	]	]	PUNCT
ccsj-78	20	45	.	.	PUNCT
ccsj-78	21	1	by	by	ADP
ccsj-78	21	2	definition	definition	NOUN
ccsj-78	21	3	,	,	PUNCT
ccsj-78	21	4	the	the	DET
ccsj-78	21	5	lbp	lbp	NOUN
ccsj-78	21	6	operator	operator	NOUN
ccsj-78	21	7	is	be	AUX
ccsj-78	21	8	insensitive	insensitive	ADJ
ccsj-78	21	9	to	to	ADP
ccsj-78	21	10	monotonic	monotonic	ADJ
ccsj-78	21	11	changes	change	NOUN
ccsj-78	21	12	of	of	ADP
ccsj-78	21	13	image	image	NOUN
ccsj-78	21	14	intensity	intensity	NOUN
ccsj-78	21	15	,	,	PUNCT
ccsj-78	21	16	while	while	SCONJ
ccsj-78	21	17	invariance	invariance	NOUN
ccsj-78	21	18	to	to	ADP
ccsj-78	21	19	chromatic	chromatic	ADJ
ccsj-78	21	20	illuminant	illuminant	ADJ
ccsj-78	21	21	changes	change	NOUN
ccsj-78	21	22	can	can	AUX
ccsj-78	21	23	be	be	AUX
ccsj-78	21	24	obtained	obtain	VERB
ccsj-78	21	25	by	by	ADP
ccsj-78	21	26	computing	compute	VERB
ccsj-78	21	27	the	the	DET
ccsj-78	21	28	lbps	lbps	NOUN
ccsj-78	21	29	separately	separately	ADV
ccsj-78	21	30	on	on	ADP
ccsj-78	21	31	the	the	DET
ccsj-78	21	32	three	three	NUM
ccsj-78	21	33	image	image	NOUN
ccsj-78	21	34	channels	channel	NOUN
ccsj-78	21	35	[	[	X
ccsj-78	21	36	5	5	NUM
ccsj-78	21	37	]	]	PUNCT
ccsj-78	21	38	,	,	PUNCT
ccsj-78	21	39	[	[	X
ccsj-78	21	40	7	7	NUM
ccsj-78	21	41	]	]	PUNCT
ccsj-78	21	42	.	.	PUNCT
ccsj-78	22	1	thanks	thank	NOUN
ccsj-78	22	2	to	to	ADP
ccsj-78	22	3	their	their	PRON
ccsj-78	22	4	high	high	ADJ
ccsj-78	22	5	discrimination	discrimination	NOUN
ccsj-78	22	6	capability	capability	NOUN
ccsj-78	22	7	and	and	CCONJ
ccsj-78	22	8	low	low	ADJ
ccsj-78	22	9	computational	computational	ADJ
ccsj-78	22	10	complexity	complexity	NOUN
ccsj-78	22	11	,	,	PUNCT
ccsj-78	22	12	the	the	DET
ccsj-78	22	13	lbp	lbp	NOUN
ccsj-78	22	14	operator	operator	NOUN
ccsj-78	22	15	has	have	AUX
ccsj-78	22	16	been	be	AUX
ccsj-78	22	17	successfully	successfully	ADV
ccsj-78	22	18	applied	apply	VERB
ccsj-78	22	19	to	to	ADP
ccsj-78	22	20	a	a	DET
ccsj-78	22	21	wide	wide	ADJ
ccsj-78	22	22	variety	variety	NOUN
ccsj-78	22	23	of	of	ADP
ccsj-78	22	24	computer	computer	NOUN
ccsj-78	22	25	vision	vision	NOUN
ccsj-78	22	26	tasks	task	NOUN
ccsj-78	22	27	,	,	PUNCT
ccsj-78	22	28	like	like	ADP
ccsj-78	22	29	video	video	NOUN
ccsj-78	22	30	background	background	NOUN
ccsj-78	22	31	subtraction	subtraction	NOUN
ccsj-78	22	32	[	[	X
ccsj-78	22	33	8	8	NUM
ccsj-78	22	34	]	]	PUNCT
ccsj-78	22	35	,	,	PUNCT
ccsj-78	22	36	face	face	VERB
ccsj-78	22	37	detection	detection	NOUN
ccsj-78	22	38	and	and	CCONJ
ccsj-78	22	39	identification	identification	NOUN
ccsj-78	23	1	[	[	X
ccsj-78	23	2	9	9	NUM
ccsj-78	23	3	]	]	PUNCT
ccsj-78	23	4	,	,	PUNCT
ccsj-78	23	5	fingerprints	fingerprint	NOUN
ccsj-78	23	6	recognition	recognition	NOUN
ccsj-78	24	1	[	[	X
ccsj-78	24	2	10	10	NUM
ccsj-78	24	3	]	]	PUNCT
ccsj-78	24	4	,	,	PUNCT
ccsj-78	24	5	image	image	NOUN
ccsj-78	24	6	classification	classification	NOUN
ccsj-78	24	7	[	[	X
ccsj-78	24	8	11	11	NUM
ccsj-78	24	9	]	]	PUNCT
ccsj-78	24	10	.	.	PUNCT
ccsj-78	25	1	the	the	DET
ccsj-78	25	2	main	main	ADJ
ccsj-78	25	3	issue	issue	NOUN
ccsj-78	25	4	addressed	address	VERB
ccsj-78	25	5	here	here	ADV
ccsj-78	25	6	is	be	AUX
ccsj-78	25	7	how	how	SCONJ
ccsj-78	25	8	to	to	PART
ccsj-78	25	9	add	add	VERB
ccsj-78	25	10	color	color	NOUN
ccsj-78	25	11	information	information	NOUN
ccsj-78	25	12	by	by	ADP
ccsj-78	25	13	preserving	preserve	VERB
ccsj-78	25	14	the	the	DET
ccsj-78	25	15	illuminant	illuminant	ADJ
ccsj-78	25	16	invariance	invariance	NOUN
ccsj-78	25	17	of	of	ADP
ccsj-78	25	18	the	the	DET
ccsj-78	25	19	lbps	lbps	NOUN
ccsj-78	25	20	.	.	PUNCT
ccsj-78	26	1	in	in	ADP
ccsj-78	26	2	fact	fact	NOUN
ccsj-78	26	3	,	,	PUNCT
ccsj-78	26	4	color	color	NOUN
ccsj-78	26	5	is	be	AUX
ccsj-78	26	6	one	one	NUM
ccsj-78	26	7	of	of	ADP
ccsj-78	26	8	the	the	DET
ccsj-78	26	9	most	most	ADV
ccsj-78	26	10	important	important	ADJ
ccsj-78	26	11	features	feature	NOUN
ccsj-78	26	12	for	for	ADP
ccsj-78	26	13	image	image	NOUN
ccsj-78	26	14	description	description	NOUN
ccsj-78	26	15	and	and	CCONJ
ccsj-78	26	16	retrieval	retrieval	NOUN
ccsj-78	27	1	[	[	X
ccsj-78	27	2	12	12	NUM
ccsj-78	27	3	]	]	PUNCT
ccsj-78	27	4	,	,	PUNCT
ccsj-78	27	5	but	but	CCONJ
ccsj-78	27	6	its	its	PRON
ccsj-78	27	7	usage	usage	NOUN
ccsj-78	27	8	in	in	ADP
ccsj-78	27	9	practice	practice	NOUN
ccsj-78	27	10	is	be	AUX
ccsj-78	27	11	often	often	ADV
ccsj-78	27	12	limited	limit	VERB
ccsj-78	27	13	due	due	ADP
ccsj-78	27	14	to	to	ADP
ccsj-78	27	15	its	its	PRON
ccsj-78	27	16	strong	strong	ADJ
ccsj-78	27	17	sensitivity	sensitivity	NOUN
ccsj-78	27	18	to	to	ADP
ccsj-78	27	19	the	the	DET
ccsj-78	27	20	light	light	NOUN
ccsj-78	27	21	.	.	PUNCT
ccsj-78	28	1	the	the	DET
ccsj-78	28	2	proposed	propose	VERB
ccsj-78	28	3	algorithms	algorithm	NOUN
ccsj-78	28	4	,	,	PUNCT
ccsj-78	28	5	named	name	VERB
ccsj-78	28	6	gwalgorithm	gwalgorithm	NOUN
ccsj-78	28	7	and	and	CCONJ
ccsj-78	28	8	vk	vk	NOUN
ccsj-78	28	9	-	-	PUNCT
ccsj-78	28	10	algorithm	algorithm	NOUN
ccsj-78	28	11	,	,	PUNCT
ccsj-78	28	12	cope	cope	VERB
ccsj-78	28	13	with	with	ADP
ccsj-78	28	14	this	this	DET
ccsj-78	28	15	problem	problem	NOUN
ccsj-78	28	16	in	in	ADP
ccsj-78	28	17	different	different	ADJ
ccsj-78	28	18	ways	way	NOUN
ccsj-78	28	19	.	.	PUNCT
ccsj-78	29	1	the	the	DET
ccsj-78	29	2	gw	gw	PROPN
ccsj-78	29	3	-	-	PUNCT
ccsj-78	29	4	algorithm	algorithm	NOUN
ccsj-78	29	5	provides	provide	VERB
ccsj-78	29	6	an	an	DET
ccsj-78	29	7	illuminant	illuminant	ADJ
ccsj-78	29	8	invariant	invariant	ADJ
ccsj-78	29	9	color	color	NOUN
ccsj-78	29	10	and	and	CCONJ
ccsj-78	29	11	texture	texture	ADJ
ccsj-78	29	12	description	description	NOUN
ccsj-78	29	13	as	as	SCONJ
ccsj-78	29	14	follows	follow	VERB
ccsj-78	29	15	.	.	PUNCT
ccsj-78	30	1	first	first	ADV
ccsj-78	30	2	,	,	PUNCT
ccsj-78	30	3	it	it	PRON
ccsj-78	30	4	normalizes	normalize	VERB
ccsj-78	30	5	the	the	DET
ccsj-78	30	6	colors	color	NOUN
ccsj-78	30	7	of	of	ADP
ccsj-78	30	8	any	any	DET
ccsj-78	30	9	image	image	NOUN
ccsj-78	30	10	with	with	ADP
ccsj-78	30	11	the	the	DET
ccsj-78	30	12	gray	gray	ADJ
ccsj-78	30	13	-	-	PUNCT
ccsj-78	30	14	world	world	NOUN
ccsj-78	30	15	algorithm	algorithm	NOUN
ccsj-78	30	16	;	;	PUNCT
ccsj-78	30	17	second	second	ADJ
ccsj-78	30	18	,	,	PUNCT
ccsj-78	30	19	for	for	ADP
ccsj-78	30	20	each	each	DET
ccsj-78	30	21	normalized	normalize	VERB
ccsj-78	30	22	color	color	NOUN
ccsj-78	30	23	channel	channel	NOUN
ccsj-78	30	24	,	,	PUNCT
ccsj-78	30	25	computes	compute	VERB
ccsj-78	30	26	the	the	DET
ccsj-78	30	27	joint	joint	ADJ
ccsj-78	30	28	probability	probability	NOUN
ccsj-78	30	29	map	map	NOUN
ccsj-78	30	30	of	of	ADP
ccsj-78	30	31	intensity	intensity	NOUN
ccsj-78	30	32	and	and	CCONJ
ccsj-78	30	33	rotation	rotation	NOUN
ccsj-78	30	34	invariant	invariant	ADJ
ccsj-78	30	35	lbps	lbps	NOUN
ccsj-78	30	36	;	;	PUNCT
ccsj-78	30	37	finally	finally	ADV
ccsj-78	30	38	,	,	PUNCT
ccsj-78	30	39	it	it	PRON
ccsj-78	30	40	concatenates	concatenate	VERB
ccsj-78	30	41	the	the	DET
ccsj-78	30	42	probability	probability	NOUN
ccsj-78	30	43	maps	map	NOUN
ccsj-78	30	44	of	of	ADP
ccsj-78	30	45	the	the	DET
ccsj-78	30	46	three	three	NUM
ccsj-78	30	47	color	color	NOUN
ccsj-78	30	48	channels	channel	NOUN
ccsj-78	30	49	and	and	CCONJ
ccsj-78	30	50	performs	perform	VERB
ccsj-78	30	51	retrieval	retrieval	NOUN
ccsj-78	30	52	by	by	ADP
ccsj-78	30	53	comparing	compare	VERB
ccsj-78	30	54	them	they	PRON
ccsj-78	30	55	by	by	ADP
ccsj-78	30	56	means	mean	NOUN
ccsj-78	30	57	of	of	ADP
ccsj-78	30	58	a	a	DET
ccsj-78	30	59	lp	lp	ADJ
ccsj-78	30	60	metric	metric	ADJ
ccsj-78	31	1	[	[	X
ccsj-78	31	2	13	13	NUM
ccsj-78	31	3	]	]	PUNCT
ccsj-78	31	4	.	.	PUNCT
ccsj-78	32	1	the	the	DET
ccsj-78	32	2	vk	vk	NOUN
ccsj-78	32	3	-	-	PUNCT
ccsj-78	32	4	algorithm	algorithm	NOUN
ccsj-78	32	5	computes	compute	VERB
ccsj-78	32	6	the	the	DET
ccsj-78	32	7	joint	joint	ADJ
ccsj-78	32	8	probability	probability	NOUN
ccsj-78	32	9	map	map	NOUN
ccsj-78	32	10	as	as	ADP
ccsj-78	32	11	before	before	ADV
ccsj-78	32	12	,	,	PUNCT
ccsj-78	32	13	but	but	CCONJ
ccsj-78	32	14	without	without	ADP
ccsj-78	32	15	any	any	DET
ccsj-78	32	16	color	color	NOUN
ccsj-78	32	17	normalization	normalization	NOUN
ccsj-78	32	18	,	,	PUNCT
ccsj-78	32	19	and	and	CCONJ
ccsj-78	32	20	implements	implement	VERB
ccsj-78	32	21	a	a	DET
ccsj-78	32	22	matching	matching	NOUN
ccsj-78	32	23	strategy	strategy	NOUN
ccsj-78	32	24	that	that	PRON
ccsj-78	32	25	takes	take	VERB
ccsj-78	32	26	into	into	ADP
ccsj-78	32	27	account	account	NOUN
ccsj-78	32	28	possible	possible	ADJ
ccsj-78	32	29	changes	change	NOUN
ccsj-78	32	30	of	of	ADP
ccsj-78	32	31	colors	color	NOUN
ccsj-78	32	32	due	due	ADP
ccsj-78	32	33	to	to	ADP
ccsj-78	32	34	illuminant	illuminant	ADJ
ccsj-78	32	35	variations	variation	NOUN
ccsj-78	32	36	,	,	PUNCT
ccsj-78	32	37	based	base	VERB
ccsj-78	32	38	on	on	ADP
ccsj-78	32	39	the	the	DET
ccsj-78	32	40	von	von	PROPN
ccsj-78	32	41	kries	kries	PROPN
ccsj-78	32	42	model	model	NOUN
ccsj-78	32	43	[	[	X
ccsj-78	32	44	14	14	NUM
ccsj-78	32	45	]	]	X
ccsj-78	33	1	[	[	X
ccsj-78	33	2	15	15	NUM
ccsj-78	33	3	]	]	X
ccsj-78	34	1	[	[	X
ccsj-78	34	2	16	16	NUM
ccsj-78	34	3	]	]	PUNCT
ccsj-78	34	4	.	.	PUNCT
ccsj-78	35	1	in	in	ADP
ccsj-78	35	2	both	both	DET
ccsj-78	35	3	these	these	DET
ccsj-78	35	4	algorithms	algorithm	NOUN
ccsj-78	35	5	,	,	PUNCT
ccsj-78	35	6	the	the	DET
ccsj-78	35	7	color	color	NOUN
ccsj-78	35	8	and	and	CCONJ
ccsj-78	35	9	texture	texture	ADJ
ccsj-78	35	10	probability	probability	NOUN
ccsj-78	35	11	map	map	NOUN
ccsj-78	35	12	can	can	AUX
ccsj-78	35	13	be	be	AUX
ccsj-78	35	14	weighted	weight	VERB
ccsj-78	35	15	by	by	ADP
ccsj-78	35	16	the	the	DET
ccsj-78	35	17	euclidean	euclidean	ADJ
ccsj-78	35	18	distance	distance	NOUN
ccsj-78	35	19	of	of	ADP
ccsj-78	35	20	each	each	DET
ccsj-78	35	21	pixel	pixel	NOUN
ccsj-78	35	22	from	from	ADP
ccsj-78	35	23	the	the	DET
ccsj-78	35	24	image	image	NOUN
ccsj-78	35	25	barycenter	barycenter	NOUN
ccsj-78	35	26	,	,	PUNCT
ccsj-78	35	27	in	in	ADP
ccsj-78	35	28	order	order	NOUN
ccsj-78	35	29	to	to	PART
ccsj-78	35	30	provide	provide	VERB
ccsj-78	35	31	a	a	DET
ccsj-78	35	32	global	global	ADJ
ccsj-78	35	33	spatial	spatial	ADJ
ccsj-78	35	34	description	description	NOUN
ccsj-78	35	35	of	of	ADP
ccsj-78	35	36	the	the	DET
ccsj-78	35	37	color	color	NOUN
ccsj-78	35	38	distribution	distribution	NOUN
ccsj-78	35	39	.	.	PUNCT
ccsj-78	36	1	the	the	DET
ccsj-78	36	2	experiments	experiment	NOUN
ccsj-78	36	3	carried	carry	VERB
ccsj-78	36	4	out	out	ADP
ccsj-78	36	5	on	on	ADP
ccsj-78	36	6	the	the	DET
ccsj-78	36	7	public	public	ADJ
ccsj-78	36	8	realworld	realworld	PROPN
ccsj-78	36	9	dataset	dataset	VERB
ccsj-78	37	1	[	[	X
ccsj-78	37	2	17	17	NUM
ccsj-78	37	3	]	]	PUNCT
ccsj-78	37	4	show	show	VERB
ccsj-78	37	5	that	that	SCONJ
ccsj-78	37	6	the	the	DET
ccsj-78	37	7	proposed	propose	VERB
ccsj-78	37	8	algorithms	algorithm	NOUN
ccsj-78	37	9	outperform	outperform	VERB
ccsj-78	37	10	the	the	DET
ccsj-78	37	11	approaches	approach	NOUN
ccsj-78	37	12	based	base	VERB
ccsj-78	37	13	on	on	ADP
ccsj-78	37	14	color	color	NOUN
ccsj-78	37	15	or	or	CCONJ
ccsj-78	37	16	lbps	lbps	NOUN
ccsj-78	37	17	individually	individually	ADV
ccsj-78	37	18	,	,	PUNCT
ccsj-78	37	19	and	and	CCONJ
ccsj-78	37	20	,	,	PUNCT
ccsj-78	37	21	in	in	ADP
ccsj-78	37	22	general	general	ADJ
ccsj-78	37	23	,	,	PUNCT
ccsj-78	37	24	better	well	ADJ
ccsj-78	37	25	results	result	NOUN
ccsj-78	37	26	are	be	AUX
ccsj-78	37	27	obtained	obtain	VERB
ccsj-78	37	28	by	by	ADP
ccsj-78	37	29	using	use	VERB
ccsj-78	37	30	the	the	DET
ccsj-78	37	31	weighted	weight	VERB
ccsj-78	37	32	probability	probability	NOUN
ccsj-78	37	33	map	map	NOUN
ccsj-78	37	34	.	.	PUNCT
ccsj-78	38	1	2	2	X
ccsj-78	38	2	.	.	X
ccsj-78	38	3	local	local	ADJ
ccsj-78	38	4	binary	binary	ADJ
ccsj-78	38	5	patterns	pattern	NOUN
ccsj-78	38	6	:	:	PUNCT
ccsj-78	38	7	definition	definition	NOUN
ccsj-78	38	8	and	and	CCONJ
ccsj-78	38	9	computation	computation	NOUN
ccsj-78	38	10	let	let	AUX
ccsj-78	38	11	be	be	AUX
ccsj-78	38	12	a	a	DET
ccsj-78	38	13	pixel	pixel	NOUN
ccsj-78	38	14	of	of	ADP
ccsj-78	38	15	a	a	DET
ccsj-78	38	16	gray	gray	ADJ
ccsj-78	38	17	level	level	NOUN
ccsj-78	38	18	image	image	NOUN
ccsj-78	38	19	and	and	CCONJ
ccsj-78	38	20	let	let	VERB
ccsj-78	38	21	be	be	AUX
ccsj-78	38	22	a	a	DET
ccsj-78	38	23	circular	circular	ADJ
ccsj-78	38	24	neighbor	neighbor	NOUN
ccsj-78	38	25	of	of	ADP
ccsj-78	38	26	where	where	SCONJ
ccsj-78	38	27	denotes	denote	VERB
ccsj-78	38	28	the	the	DET
ccsj-78	38	29	radius	radius	NOUN
ccsj-78	38	30	of	of	ADP
ccsj-78	38	31	the	the	DET
ccsj-78	38	32	neighbor	neighbor	NOUN
ccsj-78	38	33	and	and	CCONJ
ccsj-78	38	34	is	be	AUX
ccsj-78	38	35	the	the	DET
ccsj-78	38	36	number	number	NOUN
ccsj-78	38	37	of	of	ADP
ccsj-78	38	38	sampling	sample	VERB
ccsj-78	38	39	points	point	NOUN
ccsj-78	38	40	with	with	ADP
ccsj-78	38	41	coordinates	coordinate	NOUN
ccsj-78	38	42	defined	define	VERB
ccsj-78	38	43	by	by	ADP
ccsj-78	38	44	where	where	SCONJ
ccsj-78	38	45	are	be	AUX
ccsj-78	38	46	the	the	DET
ccsj-78	38	47	coordinates	coordinate	NOUN
ccsj-78	38	48	of	of	ADP
ccsj-78	38	49	.	.	PUNCT
ccsj-78	39	1	due	due	ADP
ccsj-78	39	2	to	to	ADP
ccsj-78	39	3	the	the	DET
ccsj-78	39	4	discrete	discrete	ADJ
ccsj-78	39	5	nature	nature	NOUN
ccsj-78	39	6	of	of	ADP
ccsj-78	39	7	the	the	DET
ccsj-78	39	8	data	datum	NOUN
ccsj-78	39	9	,	,	PUNCT
ccsj-78	39	10	when	when	SCONJ
ccsj-78	39	11	the	the	DET
ccsj-78	39	12	coordinates	coordinate	NOUN
ccsj-78	39	13	of	of	ADP
ccsj-78	39	14	any	any	DET
ccsj-78	39	15	sampling	sampling	NOUN
ccsj-78	39	16	point	point	NOUN
ccsj-78	39	17	do	do	AUX
ccsj-78	39	18	not	not	PART
ccsj-78	39	19	fall	fall	VERB
ccsj-78	39	20	at	at	ADP
ccsj-78	39	21	integer	integer	NOUN
ccsj-78	39	22	coordinates	coordinate	NOUN
ccsj-78	39	23	,	,	PUNCT
ccsj-78	39	24	the	the	DET
ccsj-78	39	25	gray	gray	ADJ
ccsj-78	39	26	value	value	NOUN
ccsj-78	39	27	is	be	AUX
ccsj-78	39	28	bilinearly	bilinearly	ADV
ccsj-78	39	29	interpolated	interpolate	VERB
ccsj-78	39	30	.	.	PUNCT
ccsj-78	40	1	the	the	DET
ccsj-78	40	2	lbp	lbp	PROPN
ccsj-78	40	3	label	label	NOUN
ccsj-78	40	4	at	at	ADP
ccsj-78	40	5	is	be	AUX
ccsj-78	40	6	defined	define	VERB
ccsj-78	40	7	as	as	ADP
ccsj-78	40	8	where	where	SCONJ
ccsj-78	40	9	indicates	indicate	VERB
ccsj-78	40	10	the	the	DET
ccsj-78	40	11	gray	gray	ADJ
ccsj-78	40	12	value	value	NOUN
ccsj-78	40	13	and	and	CCONJ
ccsj-78	40	14	is	be	AUX
ccsj-78	40	15	a	a	DET
ccsj-78	40	16	thresholding	thresholde	VERB
ccsj-78	40	17	function	function	NOUN
ccsj-78	40	18	from	from	ADP
ccsj-78	40	19	to	to	ADP
ccsj-78	40	20	such	such	ADJ
ccsj-78	40	21	that	that	SCONJ
ccsj-78	40	22	if	if	SCONJ
ccsj-78	41	1	and	and	CCONJ
ccsj-78	41	2	otherwise	otherwise	ADV
ccsj-78	41	3	.	.	PUNCT
ccsj-78	42	1	the	the	DET
ccsj-78	42	2	ordered	order	VERB
ccsj-78	42	3	sequence	sequence	NOUN
ccsj-78	42	4	is	be	AUX
ccsj-78	42	5	said	say	VERB
ccsj-78	42	6	lbp	lbp	PROPN
ccsj-78	42	7	code	code	PROPN
ccsj-78	42	8	.	.	PUNCT
ccsj-78	43	1	any	any	DET
ccsj-78	43	2	image	image	NOUN
ccsj-78	43	3	rotation	rotation	NOUN
ccsj-78	43	4	changes	change	VERB
ccsj-78	43	5	the	the	DET
ccsj-78	43	6	order	order	NOUN
ccsj-78	43	7	of	of	ADP
ccsj-78	43	8	the	the	DET
ccsj-78	43	9	lbp	lbp	PROPN
ccsj-78	43	10	code	code	PROPN
ccsj-78	43	11	entries	entry	NOUN
ccsj-78	43	12	.	.	PUNCT
ccsj-78	44	1	invariance	invariance	NOUN
ccsj-78	44	2	against	against	ADP
ccsj-78	44	3	rotations	rotation	NOUN
ccsj-78	44	4	of	of	ADP
ccsj-78	44	5	an	an	DET
ccsj-78	44	6	angle	angle	NOUN
ccsj-78	44	7	of	of	ADP
ccsj-78	44	8	(	(	PUNCT
ccsj-78	44	9	with	with	ADP
ccsj-78	44	10	an	an	DET
ccsj-78	44	11	integer	integer	NOUN
ccsj-78	44	12	number	number	NOUN
ccsj-78	44	13	)	)	PUNCT
ccsj-78	44	14	can	can	AUX
ccsj-78	44	15	be	be	AUX
ccsj-78	44	16	achieved	achieve	VERB
ccsj-78	44	17	by	by	ADP
ccsj-78	44	18	a	a	DET
ccsj-78	44	19	circular	circular	ADJ
ccsj-78	44	20	bitwise	bitwise	NOUN
ccsj-78	44	21	cyclic	cyclic	NOUN
ccsj-78	44	22	shift	shift	NOUN
ccsj-78	44	23	(	(	PUNCT
ccsj-78	44	24	see	see	VERB
ccsj-78	44	25	fig	fig	NOUN
ccsj-78	44	26	.	.	PUNCT
ccsj-78	44	27	1	1	NUM
ccsj-78	45	1	for	for	ADP
ccsj-78	45	2	an	an	DET
ccsj-78	45	3	example	example	NOUN
ccsj-78	45	4	)	)	PUNCT
ccsj-78	45	5	.	.	PUNCT
ccsj-78	46	1	experiments	experiment	NOUN
ccsj-78	46	2	reported	report	VERB
ccsj-78	46	3	in	in	ADP
ccsj-78	46	4	[	[	X
ccsj-78	46	5	3	3	NUM
ccsj-78	46	6	]	]	PUNCT
ccsj-78	46	7	and	and	CCONJ
ccsj-78	46	8	[	[	X
ccsj-78	46	9	18	18	NUM
ccsj-78	46	10	]	]	PUNCT
ccsj-78	46	11	showed	show	VERB
ccsj-78	46	12	that	that	SCONJ
ccsj-78	46	13	31	31	NUM
ccsj-78	46	14	cultura	cultura	NOUN
ccsj-78	46	15	e	e	PROPN
ccsj-78	46	16	scienza	scienza	PROPN
ccsj-78	46	17	del	del	PROPN
ccsj-78	46	18	colore	colore	PROPN
ccsj-78	46	19	color	color	NOUN
ccsj-78	46	20	culture	culture	NOUN
ccsj-78	46	21	and	and	CCONJ
ccsj-78	46	22	science	science	NOUN
ccsj-78	46	23	|	|	ADV
ccsj-78	46	24	07	07	NUM
ccsj-78	46	25	|	|	NOUN
ccsj-78	46	26	2017	2017	NUM
ccsj-78	46	27	|	|	ADV
ccsj-78	46	28	29	29	NUM
ccsj-78	46	29	38	38	NUM
ccsj-78	46	30	using	use	VERB
ccsj-78	46	31	color	color	NOUN
ccsj-78	46	32	and	and	CCONJ
ccsj-78	46	33	local	local	ADJ
ccsj-78	46	34	binary	binary	ADJ
ccsj-78	46	35	patterns	pattern	NOUN
ccsj-78	46	36	for	for	ADP
ccsj-78	46	37	texture	texture	ADJ
ccsj-78	46	38	retrieval	retrieval	NOUN
ccsj-78	46	39	issn	issn	PROPN
ccsj-78	46	40	2384	2384	NUM
ccsj-78	46	41	-	-	SYM
ccsj-78	46	42	9568	9568	NUM
ccsj-78	46	43	the	the	DET
ccsj-78	46	44	best	good	ADJ
ccsj-78	46	45	texture	texture	ADJ
ccsj-78	46	46	description	description	NOUN
ccsj-78	46	47	and	and	CCONJ
ccsj-78	46	48	classification	classification	NOUN
ccsj-78	46	49	is	be	AUX
ccsj-78	46	50	achieved	achieve	VERB
ccsj-78	46	51	by	by	ADP
ccsj-78	46	52	considering	consider	VERB
ccsj-78	46	53	only	only	ADV
ccsj-78	46	54	a	a	DET
ccsj-78	46	55	small	small	ADJ
ccsj-78	46	56	subset	subset	NOUN
ccsj-78	46	57	of	of	ADP
ccsj-78	46	58	lbps	lbps	NOUN
ccsj-78	46	59	,	,	PUNCT
ccsj-78	46	60	called	call	VERB
ccsj-78	46	61	uniform	uniform	ADJ
ccsj-78	46	62	lbps	lbps	PROPN
ccsj-78	46	63	.	.	PUNCT
ccsj-78	47	1	a	a	DET
ccsj-78	47	2	lbp	lbp	NOUN
ccsj-78	47	3	is	be	AUX
ccsj-78	47	4	said	say	VERB
ccsj-78	47	5	to	to	PART
ccsj-78	47	6	be	be	AUX
ccsj-78	47	7	uniform	uniform	ADJ
ccsj-78	47	8	if	if	SCONJ
ccsj-78	47	9	it	it	PRON
ccsj-78	47	10	contains	contain	VERB
ccsj-78	47	11	at	at	ADP
ccsj-78	47	12	most	most	ADV
ccsj-78	47	13	two	two	NUM
ccsj-78	47	14	bitwise	bitwise	NOUN
ccsj-78	47	15	transitions	transition	NOUN
ccsj-78	47	16	(	(	PUNCT
ccsj-78	47	17	from	from	ADP
ccsj-78	47	18	0	0	NUM
ccsj-78	47	19	to	to	ADP
ccsj-78	47	20	1	1	NUM
ccsj-78	47	21	or	or	CCONJ
ccsj-78	47	22	vice	vice	NOUN
ccsj-78	47	23	-	-	NOUN
ccsj-78	47	24	versa	versa	NOUN
ccsj-78	47	25	)	)	PUNCT
ccsj-78	47	26	.	.	PUNCT
ccsj-78	48	1	the	the	DET
ccsj-78	48	2	rotation	rotation	NOUN
ccsj-78	48	3	invariant	invariant	PROPN
ccsj-78	48	4	uniform	uniform	ADJ
ccsj-78	48	5	lbp	lbp	PROPN
ccsj-78	48	6	(	(	PUNCT
ccsj-78	48	7	denoted	denote	VERB
ccsj-78	48	8	as	as	ADP
ccsj-78	48	9	lbpriu	lbpriu	ADJ
ccsj-78	48	10	,	,	PUNCT
ccsj-78	48	11	where	where	SCONJ
ccsj-78	48	12	ri	ri	PROPN
ccsj-78	48	13	stands	stand	VERB
ccsj-78	48	14	for	for	ADP
ccsj-78	48	15	rotation	rotation	NOUN
ccsj-78	48	16	invariant	invariant	ADJ
ccsj-78	48	17	and	and	CCONJ
ccsj-78	48	18	u	u	NOUN
ccsj-78	48	19	for	for	ADP
ccsj-78	48	20	uniform	uniform	NOUN
ccsj-78	48	21	)	)	PUNCT
ccsj-78	48	22	of	of	ADP
ccsj-78	48	23	a	a	DET
ccsj-78	48	24	neighbor	neighbor	NOUN
ccsj-78	48	25	centered	center	VERB
ccsj-78	48	26	in	in	ADP
ccsj-78	48	27	is	be	AUX
ccsj-78	48	28	computed	compute	VERB
ccsj-78	48	29	by	by	ADP
ccsj-78	48	30	the	the	DET
ccsj-78	48	31	following	follow	VERB
ccsj-78	48	32	equations	equation	NOUN
ccsj-78	48	33	:	:	PUNCT
ccsj-78	48	34	otherwise	otherwise	ADV
ccsj-78	48	35	,	,	PUNCT
ccsj-78	48	36	with	with	ADP
ccsj-78	48	37	by	by	ADP
ccsj-78	48	38	the	the	DET
ccsj-78	48	39	equations	equation	NOUN
ccsj-78	48	40	(	(	PUNCT
ccsj-78	48	41	2.1	2.1	NUM
ccsj-78	48	42	)	)	PUNCT
ccsj-78	48	43	and	and	CCONJ
ccsj-78	48	44	(	(	PUNCT
ccsj-78	48	45	2.1b	2.1b	NUM
ccsj-78	48	46	)	)	PUNCT
ccsj-78	48	47	,	,	PUNCT
ccsj-78	48	48	there	there	PRON
ccsj-78	48	49	are	be	VERB
ccsj-78	48	50	exactly	exactly	ADV
ccsj-78	48	51	lbprius	lbprius	ADJ
ccsj-78	48	52	:	:	PUNCT
ccsj-78	48	53	each	each	DET
ccsj-78	48	54	uniform	uniform	ADJ
ccsj-78	48	55	pattern	pattern	NOUN
ccsj-78	48	56	is	be	AUX
ccsj-78	48	57	labeled	label	VERB
ccsj-78	48	58	by	by	ADP
ccsj-78	48	59	a	a	DET
ccsj-78	48	60	number	number	NOUN
ccsj-78	48	61	from	from	ADP
ccsj-78	48	62	0	0	NUM
ccsj-78	48	63	to	to	ADP
ccsj-78	48	64	,	,	PUNCT
ccsj-78	48	65	corresponding	correspond	VERB
ccsj-78	48	66	to	to	ADP
ccsj-78	48	67	the	the	DET
ccsj-78	48	68	number	number	NOUN
ccsj-78	48	69	of	of	ADP
ccsj-78	48	70	1	1	NUM
ccsj-78	48	71	’s	’s	NOUN
ccsj-78	48	72	in	in	ADP
ccsj-78	48	73	its	its	PRON
ccsj-78	48	74	lbp	lbp	PROPN
ccsj-78	48	75	code	code	NOUN
ccsj-78	48	76	,	,	PUNCT
ccsj-78	48	77	while	while	SCONJ
ccsj-78	48	78	the	the	DET
ccsj-78	48	79	non	non	ADJ
ccsj-78	48	80	-	-	ADJ
ccsj-78	48	81	uniform	uniform	ADJ
ccsj-78	48	82	lpbs	lpb	NOUN
ccsj-78	48	83	are	be	AUX
ccsj-78	48	84	grouped	group	VERB
ccsj-78	48	85	together	together	ADV
ccsj-78	48	86	under	under	ADP
ccsj-78	48	87	the	the	DET
ccsj-78	48	88	label	label	NOUN
ccsj-78	48	89	.	.	PUNCT
ccsj-78	49	1	fig	fig	NOUN
ccsj-78	49	2	.	.	PUNCT
ccsj-78	50	1	2	2	NUM
ccsj-78	50	2	shows	show	VERB
ccsj-78	50	3	the	the	DET
ccsj-78	50	4	nine	nine	NUM
ccsj-78	50	5	lbprius	lbprius	NOUN
ccsj-78	50	6	for	for	ADP
ccsj-78	50	7	=	=	SYM
ccsj-78	50	8	1	1	NUM
ccsj-78	50	9	and	and	CCONJ
ccsj-78	50	10	=	=	NOUN
ccsj-78	50	11	8	8	NUM
ccsj-78	50	12	.	.	PUNCT
ccsj-78	50	13	by	by	ADP
ccsj-78	50	14	definition	definition	NOUN
ccsj-78	50	15	,	,	PUNCT
ccsj-78	50	16	the	the	DET
ccsj-78	50	17	s	s	NOUN
ccsj-78	50	18	are	be	AUX
ccsj-78	50	19	invariant	invariant	ADJ
ccsj-78	50	20	to	to	PART
ccsj-78	50	21	monotonic	monotonic	VERB
ccsj-78	50	22	changes	change	NOUN
ccsj-78	50	23	and	and	CCONJ
ccsj-78	50	24	shifts	shift	NOUN
ccsj-78	50	25	of	of	ADP
ccsj-78	50	26	the	the	DET
ccsj-78	50	27	gray	gray	ADJ
ccsj-78	50	28	level	level	NOUN
ccsj-78	50	29	intensity	intensity	NOUN
ccsj-78	50	30	of	of	ADP
ccsj-78	50	31	any	any	DET
ccsj-78	50	32	image	image	NOUN
ccsj-78	50	33	.	.	PUNCT
ccsj-78	51	1	in	in	ADP
ccsj-78	51	2	fact	fact	NOUN
ccsj-78	51	3	,	,	PUNCT
ccsj-78	51	4	for	for	ADP
ccsj-78	51	5	any	any	DET
ccsj-78	51	6	real	real	ADJ
ccsj-78	51	7	numbers	number	NOUN
ccsj-78	51	8	a	a	PRON
ccsj-78	51	9	and	and	CCONJ
ccsj-78	51	10	b	b	NOUN
ccsj-78	51	11	,	,	PUNCT
ccsj-78	51	12	with	with	ADP
ccsj-78	51	13	a>0	a>0	NOUN
ccsj-78	51	14	therefore	therefore	ADV
ccsj-78	51	15	,	,	PUNCT
ccsj-78	51	16	the	the	DET
ccsj-78	51	17	lbps	lbps	NOUN
ccsj-78	51	18	are	be	AUX
ccsj-78	51	19	robust	robust	ADJ
ccsj-78	51	20	to	to	ADP
ccsj-78	51	21	image	image	NOUN
ccsj-78	51	22	noise	noise	NOUN
ccsj-78	51	23	modeled	model	VERB
ccsj-78	51	24	as	as	ADP
ccsj-78	51	25	an	an	DET
ccsj-78	51	26	additive	additive	ADJ
ccsj-78	51	27	term	term	NOUN
ccsj-78	51	28	,	,	PUNCT
ccsj-78	51	29	and	and	CCONJ
ccsj-78	51	30	to	to	ADP
ccsj-78	51	31	(	(	PUNCT
ccsj-78	51	32	2.1b	2.1b	NUM
ccsj-78	51	33	)	)	PUNCT
ccsj-78	51	34	figure	figure	NOUN
ccsj-78	51	35	1	1	NUM
ccsj-78	51	36	example	example	NOUN
ccsj-78	51	37	of	of	ADP
ccsj-78	51	38	lbp	lbp	PROPN
ccsj-78	51	39	computation	computation	NOUN
ccsj-78	51	40	on	on	ADP
ccsj-78	51	41	a	a	DET
ccsj-78	51	42	3x3	3x3	NUM
ccsj-78	51	43	neighborhood	neighborhood	NOUN
ccsj-78	51	44	(	(	PUNCT
ccsj-78	51	45	)	)	PUNCT
ccsj-78	51	46	.	.	PUNCT
ccsj-78	52	1	the	the	DET
ccsj-78	52	2	central	central	ADJ
ccsj-78	52	3	gray	gray	ADJ
ccsj-78	52	4	value	value	NOUN
ccsj-78	52	5	is	be	AUX
ccsj-78	52	6	highlighted	highlight	VERB
ccsj-78	52	7	in	in	ADP
ccsj-78	52	8	red	red	PROPN
ccsj-78	52	9	.	.	PUNCT
ccsj-78	53	1	the	the	DET
ccsj-78	53	2	lbp	lbp	PROPN
ccsj-78	53	3	codes	code	NOUN
ccsj-78	53	4	and	and	CCONJ
ccsj-78	53	5	their	their	PRON
ccsj-78	53	6	corresponding	corresponding	ADJ
ccsj-78	53	7	labels	label	NOUN
ccsj-78	53	8	with	with	ADP
ccsj-78	53	9	and	and	CCONJ
ccsj-78	53	10	without	without	ADP
ccsj-78	53	11	rotation	rotation	NOUN
ccsj-78	53	12	normalization	normalization	NOUN
ccsj-78	53	13	are	be	AUX
ccsj-78	53	14	shown	show	VERB
ccsj-78	53	15	in	in	ADP
ccsj-78	53	16	the	the	DET
ccsj-78	53	17	blue	blue	ADJ
ccsj-78	53	18	and	and	CCONJ
ccsj-78	53	19	green	green	ADJ
ccsj-78	53	20	boxes	box	NOUN
ccsj-78	53	21	respectively	respectively	ADV
ccsj-78	53	22	.	.	PUNCT
ccsj-78	54	1	any	any	DET
ccsj-78	54	2	changes	change	NOUN
ccsj-78	54	3	of	of	ADP
ccsj-78	54	4	image	image	NOUN
ccsj-78	54	5	intensity	intensity	NOUN
ccsj-78	54	6	,	,	PUNCT
ccsj-78	54	7	caused	cause	VERB
ccsj-78	54	8	for	for	ADP
ccsj-78	54	9	instance	instance	NOUN
ccsj-78	54	10	by	by	ADP
ccsj-78	54	11	shadows	shadow	NOUN
ccsj-78	54	12	or	or	CCONJ
ccsj-78	54	13	by	by	ADP
ccsj-78	54	14	varying	vary	VERB
ccsj-78	54	15	the	the	DET
ccsj-78	54	16	distance	distance	NOUN
ccsj-78	54	17	of	of	ADP
ccsj-78	54	18	the	the	DET
ccsj-78	54	19	camera	camera	NOUN
ccsj-78	54	20	from	from	ADP
ccsj-78	54	21	the	the	DET
ccsj-78	54	22	light	light	ADJ
ccsj-78	54	23	sources	source	NOUN
ccsj-78	54	24	.	.	PUNCT
ccsj-78	55	1	as	as	ADP
ccsj-78	55	2	a	a	DET
ccsj-78	55	3	consequence	consequence	NOUN
ccsj-78	55	4	,	,	PUNCT
ccsj-78	55	5	the	the	DET
ccsj-78	55	6	s	s	NOUN
ccsj-78	55	7	of	of	ADP
ccsj-78	55	8	the	the	DET
ccsj-78	55	9	red	red	ADJ
ccsj-78	55	10	,	,	PUNCT
ccsj-78	55	11	green	green	ADJ
ccsj-78	55	12	,	,	PUNCT
ccsj-78	55	13	and	and	CCONJ
ccsj-78	55	14	blue	blue	ADJ
ccsj-78	55	15	channels	channel	NOUN
ccsj-78	55	16	of	of	ADP
ccsj-78	55	17	a	a	DET
ccsj-78	55	18	color	color	NOUN
ccsj-78	55	19	image	image	NOUN
ccsj-78	55	20	provide	provide	VERB
ccsj-78	55	21	an	an	DET
ccsj-78	55	22	(	(	PUNCT
ccsj-78	55	23	2.2	2.2	NUM
ccsj-78	55	24	)	)	PUNCT
ccsj-78	55	25	illuminant	illuminant	ADJ
ccsj-78	55	26	invariant	invariant	ADJ
ccsj-78	55	27	description	description	NOUN
ccsj-78	55	28	of	of	ADP
ccsj-78	55	29	the	the	DET
ccsj-78	55	30	colored	colored	ADJ
ccsj-78	55	31	texture	texture	NOUN
ccsj-78	55	32	.	.	PUNCT
ccsj-78	56	1	in	in	ADP
ccsj-78	56	2	fact	fact	NOUN
ccsj-78	56	3	,	,	PUNCT
ccsj-78	56	4	the	the	DET
ccsj-78	56	5	change	change	NOUN
ccsj-78	56	6	of	of	ADP
ccsj-78	56	7	image	image	NOUN
ccsj-78	56	8	colors	color	NOUN
ccsj-78	56	9	due	due	ADP
ccsj-78	56	10	to	to	ADP
ccsj-78	56	11	an	an	DET
ccsj-78	56	12	illuminant	illuminant	ADJ
ccsj-78	56	13	change	change	NOUN
ccsj-78	56	14	is	be	AUX
ccsj-78	56	15	well	well	ADV
ccsj-78	56	16	approximated	approximate	VERB
ccsj-78	56	17	by	by	ADP
ccsj-78	56	18	the	the	DET
ccsj-78	56	19	von	von	PROPN
ccsj-78	56	20	kries	kries	PROPN
ccsj-78	56	21	diagonal	diagonal	ADJ
ccsj-78	56	22	map	map	NOUN
ccsj-78	56	23	between	between	ADP
ccsj-78	56	24	the	the	DET
ccsj-78	56	25	color	color	NOUN
ccsj-78	56	26	responses	response	NOUN
ccsj-78	56	27	captured	capture	VERB
ccsj-78	56	28	under	under	ADP
ccsj-78	56	29	the	the	DET
ccsj-78	56	30	varied	varied	ADJ
ccsj-78	56	31	lights	light	NOUN
ccsj-78	56	32	[	[	X
ccsj-78	56	33	14	14	NUM
ccsj-78	56	34	]	]	PUNCT
ccsj-78	56	35	,	,	PUNCT
ccsj-78	56	36	[	[	X
ccsj-78	56	37	16	16	NUM
ccsj-78	56	38	]	]	PUNCT
ccsj-78	56	39	,	,	PUNCT
ccsj-78	56	40	i.e.	i.e.	X
ccsj-78	56	41	where	where	SCONJ
ccsj-78	56	42	the	the	DET
ccsj-78	56	43	s	s	NOUN
ccsj-78	56	44	are	be	AUX
ccsj-78	56	45	real	real	ADJ
ccsj-78	56	46	strictly	strictly	ADV
ccsj-78	56	47	positive	positive	ADJ
ccsj-78	56	48	numbers	number	NOUN
ccsj-78	56	49	,	,	PUNCT
ccsj-78	56	50	called	call	VERB
ccsj-78	56	51	von	von	PROPN
ccsj-78	56	52	kries	kries	PROPN
ccsj-78	56	53	coefficients	coefficient	NOUN
ccsj-78	56	54	,	,	PUNCT
ccsj-78	56	55	and	and	CCONJ
ccsj-78	56	56	is	be	AUX
ccsj-78	56	57	the	the	DET
ccsj-78	56	58	intensity	intensity	NOUN
ccsj-78	56	59	value	value	NOUN
ccsj-78	56	60	of	of	ADP
ccsj-78	56	61	the	the	DET
ccsj-78	56	62	-th	-th	ADJ
ccsj-78	56	63	color	color	NOUN
ccsj-78	56	64	channel	channel	NOUN
ccsj-78	56	65	(	(	PUNCT
ccsj-78	56	66	=	=	NOUN
ccsj-78	56	67	0	0	NUM
ccsj-78	56	68	,	,	PUNCT
ccsj-78	56	69	1	1	NUM
ccsj-78	56	70	,	,	PUNCT
ccsj-78	56	71	2	2	NUM
ccsj-78	56	72	,	,	PUNCT
ccsj-78	56	73	i.e.	i.e.	X
ccsj-78	56	74	red	red	ADJ
ccsj-78	56	75	,	,	PUNCT
ccsj-78	56	76	green	green	ADJ
ccsj-78	56	77	,	,	PUNCT
ccsj-78	56	78	blue	blue	ADJ
ccsj-78	56	79	)	)	PUNCT
ccsj-78	56	80	of	of	ADP
ccsj-78	56	81	the	the	DET
ccsj-78	56	82	rgb	rgb	PROPN
ccsj-78	56	83	input	input	NOUN
ccsj-78	56	84	image	image	NOUN
ccsj-78	56	85	.	.	PUNCT
ccsj-78	57	1	since	since	SCONJ
ccsj-78	57	2	the	the	DET
ccsj-78	57	3	values	value	NOUN
ccsj-78	57	4	of	of	ADP
ccsj-78	57	5	each	each	DET
ccsj-78	57	6	color	color	NOUN
ccsj-78	57	7	channel	channel	NOUN
ccsj-78	57	8	under	under	ADP
ccsj-78	57	9	the	the	DET
ccsj-78	57	10	von	von	PROPN
ccsj-78	57	11	kries	krie	NOUN
ccsj-78	57	12	map	map	VERB
ccsj-78	57	13	satisfy	satisfy	VERB
ccsj-78	57	14	the	the	DET
ccsj-78	57	15	equation	equation	NOUN
ccsj-78	57	16	(	(	PUNCT
ccsj-78	57	17	2.2	2.2	NUM
ccsj-78	57	18	)	)	PUNCT
ccsj-78	57	19	for	for	ADP
ccsj-78	57	20	=	=	SYM
ccsj-78	57	21	0	0	PROPN
ccsj-78	57	22	,	,	PUNCT
ccsj-78	57	23	the	the	DET
ccsj-78	57	24	corresponding	corresponding	ADJ
ccsj-78	57	25	lbps	lbps	NOUN
ccsj-78	57	26	are	be	AUX
ccsj-78	57	27	illuminant	illuminant	ADJ
ccsj-78	57	28	invariant	invariant	ADJ
ccsj-78	57	29	.	.	PUNCT
ccsj-78	58	1	similarly	similarly	ADV
ccsj-78	58	2	,	,	PUNCT
ccsj-78	58	3	also	also	ADV
ccsj-78	58	4	the	the	DET
ccsj-78	58	5	lbps	lbps	NOUN
ccsj-78	58	6	of	of	ADP
ccsj-78	58	7	the	the	DET
ccsj-78	58	8	1d	1d	NUM
ccsj-78	58	9	chromaticity	chromaticity	NOUN
ccsj-78	58	10	image	image	NOUN
ccsj-78	58	11	defined	define	VERB
ccsj-78	58	12	by	by	ADP
ccsj-78	58	13	and	and	CCONJ
ccsj-78	58	14	otherwise	otherwise	ADV
ccsj-78	58	15	,	,	PUNCT
ccsj-78	58	16	are	be	AUX
ccsj-78	58	17	insensitive	insensitive	ADJ
ccsj-78	58	18	to	to	ADP
ccsj-78	58	19	changes	change	NOUN
ccsj-78	58	20	of	of	ADP
ccsj-78	58	21	illuminant	illuminant	NOUN
ccsj-78	58	22	.	.	PUNCT
ccsj-78	59	1	(	(	PUNCT
ccsj-78	59	2	2.3	2.3	NUM
ccsj-78	59	3	)	)	PUNCT
ccsj-78	59	4	(	(	PUNCT
ccsj-78	59	5	2.4	2.4	NUM
ccsj-78	59	6	)	)	PUNCT
ccsj-78	59	7	figure	figure	NOUN
ccsj-78	59	8	2	2	NUM
ccsj-78	59	9	the	the	DET
ccsj-78	59	10	nine	nine	NUM
ccsj-78	59	11	uniform	uniform	NOUN
ccsj-78	59	12	lbps	lbps	PROPN
ccsj-78	59	13	ù	ù	PROPN
ccsj-78	59	14	(	(	PUNCT
ccsj-78	59	15	=	=	NOUN
ccsj-78	59	16	1	1	NUM
ccsj-78	59	17	,	,	PUNCT
ccsj-78	59	18	=	=	NOUN
ccsj-78	59	19	8)	8)	NUM
ccsj-78	59	20	.	.	NOUN
ccsj-78	59	21	black	black	ADJ
ccsj-78	59	22	and	and	CCONJ
ccsj-78	59	23	white	white	ADJ
ccsj-78	59	24	circles	circle	NOUN
ccsj-78	59	25	represent	represent	VERB
ccsj-78	59	26	the	the	DET
ccsj-78	59	27	0	0	NUM
ccsj-78	59	28	and	and	CCONJ
ccsj-78	59	29	1	1	NUM
ccsj-78	59	30	8	8	NUM
ccsj-78	59	31	-	-	PUNCT
ccsj-78	59	32	bit	bit	NOUN
ccsj-78	59	33	values	value	NOUN
ccsj-78	59	34	of	of	ADP
ccsj-78	59	35	the	the	DET
ccsj-78	59	36	lbp	lbp	NOUN
ccsj-78	59	37	operator	operator	NOUN
ccsj-78	59	38	.	.	PUNCT
ccsj-78	60	1	the	the	DET
ccsj-78	60	2	number	number	NOUN
ccsj-78	60	3	in	in	ADP
ccsj-78	60	4	blue	blue	ADJ
ccsj-78	60	5	denotes	denote	NOUN
ccsj-78	60	6	the	the	DET
ccsj-78	60	7	unique	unique	ADJ
ccsj-78	60	8	code	code	NOUN
ccsj-78	60	9	of	of	ADP
ccsj-78	60	10	each	each	DET
ccsj-78	60	11	rotation	rotation	NOUN
ccsj-78	60	12	invariant	invariant	ADJ
ccsj-78	60	13	uniform	uniform	NOUN
ccsj-78	60	14	lbp	lbp	PROPN
ccsj-78	60	15	3	3	NUM
ccsj-78	60	16	.	.	PUNCT
ccsj-78	60	17	visual	visual	ADJ
ccsj-78	60	18	description	description	NOUN
ccsj-78	60	19	by	by	ADP
ccsj-78	60	20	color	color	NOUN
ccsj-78	60	21	and	and	CCONJ
ccsj-78	60	22	lbps	lbps	NOUN
ccsj-78	60	23	in	in	ADP
ccsj-78	60	24	many	many	ADJ
ccsj-78	60	25	retrieval	retrieval	NOUN
ccsj-78	60	26	applications	application	NOUN
ccsj-78	60	27	,	,	PUNCT
ccsj-78	60	28	the	the	DET
ccsj-78	60	29	occurrences	occurrence	NOUN
ccsj-78	60	30	of	of	ADP
ccsj-78	60	31	the	the	DET
ccsj-78	60	32	lbprius	lbprius	NOUN
ccsj-78	60	33	of	of	ADP
ccsj-78	60	34	an	an	DET
ccsj-78	60	35	image	image	NOUN
ccsj-78	60	36	are	be	AUX
ccsj-78	60	37	encoded	encode	VERB
ccsj-78	60	38	into	into	ADP
ccsj-78	60	39	a	a	DET
ccsj-78	60	40	histogram	histogram	NOUN
ccsj-78	60	41	with	with	ADP
ccsj-78	60	42	bins	bin	NOUN
ccsj-78	60	43	[	[	X
ccsj-78	60	44	19	19	NUM
ccsj-78	60	45	]	]	PUNCT
ccsj-78	60	46	.	.	PUNCT
ccsj-78	61	1	the	the	DET
ccsj-78	61	2	lbprius	lbprius	PROPN
ccsj-78	61	3	histogram	histogram	NOUN
ccsj-78	61	4	has	have	AUX
ccsj-78	61	5	been	be	AUX
ccsj-78	61	6	proved	prove	VERB
ccsj-78	61	7	to	to	PART
ccsj-78	61	8	be	be	AUX
ccsj-78	61	9	an	an	DET
ccsj-78	61	10	excellent	excellent	ADJ
ccsj-78	61	11	feature	feature	NOUN
ccsj-78	61	12	for	for	ADP
ccsj-78	61	13	fast	fast	ADJ
ccsj-78	61	14	texture	texture	NOUN
ccsj-78	61	15	classification	classification	NOUN
ccsj-78	61	16	,	,	PUNCT
ccsj-78	61	17	also	also	ADV
ccsj-78	61	18	in	in	ADP
ccsj-78	61	19	comparison	comparison	NOUN
ccsj-78	61	20	with	with	ADP
ccsj-78	61	21	other	other	ADJ
ccsj-78	61	22	descriptors	descriptor	NOUN
ccsj-78	61	23	,	,	PUNCT
ccsj-78	61	24	as	as	ADP
ccsj-78	61	25	cooccurrence	cooccurrence	NOUN
ccsj-78	61	26	matrices	matrix	NOUN
ccsj-78	61	27	,	,	PUNCT
ccsj-78	61	28	gabor	gabor	NOUN
ccsj-78	61	29	filters	filter	NOUN
ccsj-78	61	30	,	,	PUNCT
ccsj-78	61	31	wavelets	wavelet	NOUN
ccsj-78	61	32	,	,	PUNCT
ccsj-78	61	33	or	or	CCONJ
ccsj-78	61	34	gaussian	gaussian	ADJ
ccsj-78	61	35	markov	markov	NOUN
ccsj-78	61	36	random	random	ADJ
ccsj-78	61	37	fields	field	NOUN
ccsj-78	61	38	[	[	X
ccsj-78	61	39	20	20	NUM
ccsj-78	61	40	]	]	X
ccsj-78	62	1	[	[	X
ccsj-78	62	2	21	21	NUM
ccsj-78	62	3	]	]	PUNCT
ccsj-78	62	4	.	.	PUNCT
ccsj-78	63	1	(	(	PUNCT
ccsj-78	63	2	2.1a	2.1a	NOUN
ccsj-78	63	3	)	)	PUNCT
ccsj-78	63	4	whileif	whileif	VERB
ccsj-78	63	5	32	32	NUM
ccsj-78	63	6	cultura	cultura	NOUN
ccsj-78	63	7	e	e	PROPN
ccsj-78	63	8	scienza	scienza	PROPN
ccsj-78	63	9	del	del	PROPN
ccsj-78	63	10	colore	colore	PROPN
ccsj-78	63	11	color	color	NOUN
ccsj-78	63	12	culture	culture	NOUN
ccsj-78	63	13	and	and	CCONJ
ccsj-78	63	14	science	science	NOUN
ccsj-78	64	1	|	|	ADV
ccsj-78	64	2	07	07	NUM
ccsj-78	64	3	|	|	NOUN
ccsj-78	64	4	2017	2017	NUM
ccsj-78	64	5	|	|	ADV
ccsj-78	64	6	29	29	NUM
ccsj-78	64	7	38	38	NUM
ccsj-78	64	8	lecca	lecca	PROPN
ccsj-78	64	9	m.	m.	PROPN
ccsj-78	64	10	issn	issn	PROPN
ccsj-78	64	11	2384	2384	NUM
ccsj-78	64	12	-	-	SYM
ccsj-78	64	13	9568	9568	NUM
ccsj-78	64	14	doi	doi	NOUN
ccsj-78	64	15	:	:	PUNCT
ccsj-78	64	16	10.23738	10.23738	NUM
ccsj-78	64	17	/	/	SYM
ccsj-78	64	18	ccsj.i72017.03	ccsj.i72017.03	VERB
ccsj-78	64	19	this	this	DET
ccsj-78	64	20	work	work	NOUN
ccsj-78	64	21	shows	show	VERB
ccsj-78	64	22	that	that	SCONJ
ccsj-78	64	23	the	the	DET
ccsj-78	64	24	addition	addition	NOUN
ccsj-78	64	25	of	of	ADP
ccsj-78	64	26	some	some	DET
ccsj-78	64	27	information	information	NOUN
ccsj-78	64	28	about	about	ADP
ccsj-78	64	29	the	the	DET
ccsj-78	64	30	distribution	distribution	NOUN
ccsj-78	64	31	of	of	ADP
ccsj-78	64	32	the	the	DET
ccsj-78	64	33	image	image	NOUN
ccsj-78	64	34	color	color	NOUN
ccsj-78	64	35	to	to	ADP
ccsj-78	64	36	the	the	DET
ccsj-78	64	37	local	local	ADJ
ccsj-78	64	38	description	description	NOUN
ccsj-78	64	39	of	of	ADP
ccsj-78	64	40	the	the	DET
ccsj-78	64	41	image	image	NOUN
ccsj-78	64	42	texture	texture	NOUN
ccsj-78	64	43	provided	provide	VERB
ccsj-78	64	44	by	by	ADP
ccsj-78	64	45	the	the	DET
ccsj-78	64	46	lbprius	lbprius	PROPN
ccsj-78	64	47	histogram	histogram	NOUN
ccsj-78	64	48	further	far	ADV
ccsj-78	64	49	increases	increase	VERB
ccsj-78	64	50	the	the	DET
ccsj-78	64	51	retrieval	retrieval	NOUN
ccsj-78	64	52	performance	performance	NOUN
ccsj-78	64	53	obtained	obtain	VERB
ccsj-78	64	54	by	by	ADP
ccsj-78	64	55	using	use	VERB
ccsj-78	64	56	the	the	DET
ccsj-78	64	57	lbprius	lbprius	PROPN
ccsj-78	64	58	histograms	histogram	NOUN
ccsj-78	64	59	only	only	ADV
ccsj-78	64	60	.	.	PUNCT
ccsj-78	65	1	while	while	SCONJ
ccsj-78	65	2	lbps	lbps	PROPN
ccsj-78	65	3	are	be	AUX
ccsj-78	65	4	invariant	invariant	ADJ
ccsj-78	65	5	to	to	ADP
ccsj-78	65	6	changes	change	NOUN
ccsj-78	65	7	of	of	ADP
ccsj-78	65	8	illuminant	illuminant	NOUN
ccsj-78	65	9	,	,	PUNCT
ccsj-78	65	10	the	the	DET
ccsj-78	65	11	color	color	NOUN
ccsj-78	65	12	is	be	AUX
ccsj-78	65	13	strongly	strongly	ADV
ccsj-78	65	14	depends	depend	VERB
ccsj-78	65	15	on	on	ADP
ccsj-78	65	16	the	the	DET
ccsj-78	65	17	light	light	NOUN
ccsj-78	65	18	:	:	PUNCT
ccsj-78	65	19	the	the	DET
ccsj-78	65	20	two	two	NUM
ccsj-78	65	21	algorithms	algorithm	NOUN
ccsj-78	65	22	described	describe	VERB
ccsj-78	65	23	next	next	ADV
ccsj-78	65	24	propose	propose	VERB
ccsj-78	65	25	two	two	NUM
ccsj-78	65	26	different	different	ADJ
ccsj-78	65	27	ways	way	NOUN
ccsj-78	65	28	to	to	PART
ccsj-78	65	29	use	use	VERB
ccsj-78	65	30	color	color	NOUN
ccsj-78	65	31	by	by	ADP
ccsj-78	65	32	preserving	preserve	VERB
ccsj-78	65	33	illuminant	illuminant	ADJ
ccsj-78	65	34	invariance	invariance	NOUN
ccsj-78	65	35	.	.	PUNCT
ccsj-78	66	1	3.1	3.1	NUM
ccsj-78	66	2	.	.	PUNCT
ccsj-78	67	1	the	the	DET
ccsj-78	67	2	gw	gw	NOUN
ccsj-78	67	3	-	-	PUNCT
ccsj-78	67	4	algorithm	algorithm	NOUN
ccsj-78	67	5	this	this	DET
ccsj-78	67	6	algorithm	algorithm	NOUN
ccsj-78	67	7	is	be	AUX
ccsj-78	67	8	named	name	VERB
ccsj-78	67	9	gw	gw	NOUN
ccsj-78	67	10	-	-	PUNCT
ccsj-78	67	11	algorithm	algorithm	NOUN
ccsj-78	67	12	because	because	SCONJ
ccsj-78	67	13	it	it	PRON
ccsj-78	67	14	achieves	achieve	VERB
ccsj-78	67	15	invariance	invariance	NOUN
ccsj-78	67	16	to	to	ADP
ccsj-78	67	17	changes	change	NOUN
ccsj-78	67	18	of	of	ADP
ccsj-78	67	19	illuminant	illuminant	NOUN
ccsj-78	67	20	by	by	ADP
ccsj-78	67	21	normalizing	normalize	VERB
ccsj-78	67	22	the	the	DET
ccsj-78	67	23	colors	color	NOUN
ccsj-78	67	24	of	of	ADP
ccsj-78	67	25	any	any	DET
ccsj-78	67	26	textured	textured	ADJ
ccsj-78	67	27	image	image	NOUN
ccsj-78	67	28	by	by	ADP
ccsj-78	67	29	the	the	DET
ccsj-78	67	30	well	well	ADV
ccsj-78	67	31	-	-	PUNCT
ccsj-78	67	32	known	know	VERB
ccsj-78	67	33	gray	gray	ADJ
ccsj-78	67	34	-	-	PUNCT
ccsj-78	67	35	world	world	NOUN
ccsj-78	67	36	algorithm	algorithm	NOUN
ccsj-78	67	37	.	.	PUNCT
ccsj-78	68	1	the	the	DET
ccsj-78	68	2	gray	gray	ADJ
ccsj-78	68	3	-	-	PUNCT
ccsj-78	68	4	world	world	NOUN
ccsj-78	68	5	algorithm	algorithm	NOUN
ccsj-78	68	6	maps	map	VERB
ccsj-78	68	7	the	the	DET
ccsj-78	68	8	color	color	NOUN
ccsj-78	68	9	response	response	NOUN
ccsj-78	68	10	at	at	ADP
ccsj-78	68	11	an	an	DET
ccsj-78	68	12	image	image	NOUN
ccsj-78	68	13	pixel	pixel	NOUN
ccsj-78	68	14	on	on	ADP
ccsj-78	68	15	the	the	DET
ccsj-78	68	16	triplet	triplet	NOUN
ccsj-78	68	17	,	,	PUNCT
ccsj-78	68	18	with	with	ADP
ccsj-78	68	19	where	where	SCONJ
ccsj-78	68	20	is	be	AUX
ccsj-78	68	21	the	the	DET
ccsj-78	68	22	mean	mean	ADJ
ccsj-78	68	23	value	value	NOUN
ccsj-78	68	24	of	of	ADP
ccsj-78	68	25	the	the	DET
ccsj-78	68	26	intensity	intensity	NOUN
ccsj-78	68	27	of	of	ADP
ccsj-78	68	28	the	the	DET
ccsj-78	68	29	-th	-th	ADJ
ccsj-78	68	30	channel	channel	NOUN
ccsj-78	68	31	.	.	PUNCT
ccsj-78	69	1	this	this	PRON
ccsj-78	69	2	means	mean	VERB
ccsj-78	69	3	the	the	DET
ccsj-78	69	4	mean	mean	ADJ
ccsj-78	69	5	rgb	rgb	PROPN
ccsj-78	69	6	value	value	NOUN
ccsj-78	69	7	of	of	ADP
ccsj-78	69	8	the	the	DET
ccsj-78	69	9	new	new	ADJ
ccsj-78	69	10	image	image	NOUN
ccsj-78	69	11	obtained	obtain	VERB
ccsj-78	69	12	by	by	ADP
ccsj-78	69	13	the	the	DET
ccsj-78	69	14	transformation	transformation	NOUN
ccsj-78	69	15	in	in	ADP
ccsj-78	69	16	equation	equation	NOUN
ccsj-78	69	17	(	(	PUNCT
ccsj-78	69	18	3.1	3.1	NUM
ccsj-78	69	19	)	)	PUNCT
ccsj-78	69	20	is	be	AUX
ccsj-78	69	21	a	a	DET
ccsj-78	69	22	gray	gray	ADJ
ccsj-78	69	23	color	color	NOUN
ccsj-78	69	24	with	with	ADP
ccsj-78	69	25	intensity	intensity	NOUN
ccsj-78	69	26	128	128	NUM
ccsj-78	69	27	.	.	PUNCT
ccsj-78	70	1	this	this	DET
ccsj-78	70	2	gray	gray	ADJ
ccsj-78	70	3	-	-	PUNCT
ccsj-78	70	4	world	world	NOUN
ccsj-78	70	5	normalized	normalize	VERB
ccsj-78	70	6	image	image	NOUN
ccsj-78	70	7	is	be	AUX
ccsj-78	70	8	invariant	invariant	ADJ
ccsj-78	70	9	with	with	ADP
ccsj-78	70	10	respect	respect	NOUN
ccsj-78	70	11	to	to	ADP
ccsj-78	70	12	illuminant	illuminant	ADJ
ccsj-78	70	13	changes	change	NOUN
ccsj-78	70	14	.	.	PUNCT
ccsj-78	71	1	in	in	ADP
ccsj-78	71	2	fact	fact	NOUN
ccsj-78	71	3	,	,	PUNCT
ccsj-78	71	4	let	let	VERB
ccsj-78	71	5	and	and	CCONJ
ccsj-78	71	6	be	be	AUX
ccsj-78	71	7	the	the	DET
ccsj-78	71	8	rgb	rgb	PROPN
ccsj-78	71	9	values	value	NOUN
ccsj-78	71	10	at	at	ADP
ccsj-78	71	11	under	under	ADP
ccsj-78	71	12	two	two	NUM
ccsj-78	71	13	illuminants	illuminant	NOUN
ccsj-78	71	14	.	.	PUNCT
ccsj-78	72	1	according	accord	VERB
ccsj-78	72	2	to	to	ADP
ccsj-78	72	3	the	the	DET
ccsj-78	72	4	von	von	PROPN
ccsj-78	72	5	kries	kries	PROPN
ccsj-78	72	6	model	model	NOUN
ccsj-78	72	7	in	in	ADP
ccsj-78	72	8	equation	equation	NOUN
ccsj-78	72	9	(	(	PUNCT
ccsj-78	72	10	2.3	2.3	NUM
ccsj-78	72	11	)	)	PUNCT
ccsj-78	72	12	and	and	CCONJ
ccsj-78	72	13	to	to	ADP
ccsj-78	72	14	equation	equation	NOUN
ccsj-78	72	15	(	(	PUNCT
ccsj-78	72	16	3.1	3.1	NUM
ccsj-78	72	17	)	)	PUNCT
ccsj-78	72	18	,	,	PUNCT
ccsj-78	72	19	the	the	DET
ccsj-78	72	20	illuminant	illuminant	ADJ
ccsj-78	72	21	invariant	invariant	ADJ
ccsj-78	72	22	feature	feature	NOUN
ccsj-78	72	23	used	use	VERB
ccsj-78	72	24	here	here	ADV
ccsj-78	72	25	integrates	integrate	VERB
ccsj-78	72	26	the	the	DET
ccsj-78	72	27	color	color	NOUN
ccsj-78	72	28	information	information	NOUN
ccsj-78	72	29	encoded	encode	VERB
ccsj-78	72	30	in	in	ADP
ccsj-78	72	31	the	the	DET
ccsj-78	72	32	gray	gray	ADJ
ccsj-78	72	33	-	-	PUNCT
ccsj-78	72	34	world	world	NOUN
ccsj-78	72	35	normalized	normalize	VERB
ccsj-78	72	36	image	image	NOUN
ccsj-78	72	37	with	with	ADP
ccsj-78	72	38	the	the	DET
ccsj-78	72	39	lbprius	lbprius	NOUN
ccsj-78	72	40	by	by	ADP
ccsj-78	72	41	computing	compute	VERB
ccsj-78	72	42	for	for	ADP
ccsj-78	72	43	each	each	DET
ccsj-78	72	44	chromatic	chromatic	ADJ
ccsj-78	72	45	channel	channel	NOUN
ccsj-78	72	46	of	of	ADP
ccsj-78	72	47	the	the	DET
ccsj-78	72	48	joint	joint	ADJ
ccsj-78	72	49	probability	probability	NOUN
ccsj-78	72	50	of	of	ADP
ccsj-78	72	51	chromatic	chromatic	ADJ
ccsj-78	72	52	intensity	intensity	NOUN
ccsj-78	72	53	and	and	CCONJ
ccsj-78	72	54	texture	texture	NOUN
ccsj-78	72	55	,	,	PUNCT
ccsj-78	72	56	i.e.	i.e.	X
ccsj-78	72	57	where	where	SCONJ
ccsj-78	72	58	indicates	indicate	VERB
ccsj-78	72	59	the	the	DET
ccsj-78	72	60	cardinality	cardinality	NOUN
ccsj-78	72	61	of	of	ADP
ccsj-78	72	62	the	the	DET
ccsj-78	72	63	subsequent	subsequent	ADJ
ccsj-78	72	64	set	set	NOUN
ccsj-78	72	65	,	,	PUNCT
ccsj-78	72	66	and	and	CCONJ
ccsj-78	72	67	vary	vary	VERB
ccsj-78	72	68	respectively	respectively	ADV
ccsj-78	72	69	over	over	ADV
ccsj-78	72	70	and	and	CCONJ
ccsj-78	72	71	.	.	PUNCT
ccsj-78	73	1	the	the	DET
ccsj-78	73	2	three	three	NUM
ccsj-78	73	3	histograms	histogram	NOUN
ccsj-78	73	4	defined	define	VERB
ccsj-78	73	5	by	by	ADP
ccsj-78	73	6	equation	equation	NOUN
ccsj-78	73	7	(	(	PUNCT
ccsj-78	73	8	3.2	3.2	NUM
ccsj-78	73	9	)	)	PUNCT
ccsj-78	73	10	are	be	AUX
ccsj-78	73	11	then	then	ADV
ccsj-78	73	12	concatenated	concatenate	VERB
ccsj-78	73	13	into	into	ADP
ccsj-78	73	14	a	a	DET
ccsj-78	73	15	2d	2d	NUM
ccsj-78	73	16	probability	probability	NOUN
ccsj-78	73	17	map	map	NOUN
ccsj-78	73	18	,	,	PUNCT
ccsj-78	73	19	that	that	PRON
ccsj-78	73	20	is	be	AUX
ccsj-78	73	21	encoded	encode	VERB
ccsj-78	73	22	as	as	ADP
ccsj-78	73	23	a	a	DET
ccsj-78	73	24	matrix	matrix	NOUN
ccsj-78	73	25	(	(	PUNCT
ccsj-78	73	26	see	see	VERB
ccsj-78	73	27	fig	fig	NOUN
ccsj-78	73	28	.	.	PUNCT
ccsj-78	74	1	3	3	NUM
ccsj-78	74	2	for	for	ADP
ccsj-78	74	3	an	an	DET
ccsj-78	74	4	example	example	NOUN
ccsj-78	74	5	)	)	PUNCT
ccsj-78	74	6	.	.	PUNCT
ccsj-78	75	1	the	the	DET
ccsj-78	75	2	probability	probability	NOUN
ccsj-78	75	3	map	map	NOUN
ccsj-78	75	4	can	can	AUX
ccsj-78	75	5	be	be	AUX
ccsj-78	75	6	also	also	ADV
ccsj-78	75	7	weighted	weight	VERB
ccsj-78	75	8	by	by	ADP
ccsj-78	75	9	the	the	DET
ccsj-78	75	10	euclidean	euclidean	ADJ
ccsj-78	75	11	distance	distance	NOUN
ccsj-78	75	12	of	of	ADP
ccsj-78	75	13	the	the	DET
ccsj-78	75	14	pixels	pixel	NOUN
ccsj-78	75	15	from	from	ADP
ccsj-78	75	16	the	the	DET
ccsj-78	75	17	barycenter	barycenter	NOUN
ccsj-78	75	18	of	of	ADP
ccsj-78	75	19	the	the	DET
ccsj-78	75	20	image	image	NOUN
ccsj-78	75	21	support	support	NOUN
ccsj-78	75	22	(	(	PUNCT
ccsj-78	75	23	i.e.	i.e.	X
ccsj-78	75	24	from	from	ADP
ccsj-78	75	25	the	the	DET
ccsj-78	75	26	barycenter	barycenter	NOUN
ccsj-78	75	27	of	of	ADP
ccsj-78	75	28	the	the	DET
ccsj-78	75	29	set	set	NOUN
ccsj-78	75	30	of	of	ADP
ccsj-78	75	31	pixels	pixel	NOUN
ccsj-78	75	32	composing	compose	VERB
ccsj-78	75	33	the	the	DET
ccsj-78	75	34	image	image	NOUN
ccsj-78	75	35	)	)	PUNCT
ccsj-78	75	36	,	,	PUNCT
ccsj-78	75	37	in	in	ADP
ccsj-78	75	38	order	order	NOUN
ccsj-78	75	39	to	to	PART
ccsj-78	75	40	provide	provide	VERB
ccsj-78	75	41	a	a	DET
ccsj-78	75	42	global	global	ADJ
ccsj-78	75	43	spatial	spatial	ADJ
ccsj-78	75	44	description	description	NOUN
ccsj-78	75	45	of	of	ADP
ccsj-78	75	46	the	the	DET
ccsj-78	75	47	image	image	NOUN
ccsj-78	75	48	color	color	NOUN
ccsj-78	75	49	distribution	distribution	NOUN
ccsj-78	75	50	.	.	PUNCT
ccsj-78	76	1	in	in	ADP
ccsj-78	76	2	particular	particular	ADJ
ccsj-78	76	3	,	,	PUNCT
ccsj-78	76	4	if	if	SCONJ
ccsj-78	76	5	is	be	AUX
ccsj-78	76	6	this	this	DET
ccsj-78	76	7	barycenter	barycenter	NOUN
ccsj-78	76	8	,	,	PUNCT
ccsj-78	76	9	the	the	DET
ccsj-78	76	10	weighted	weight	VERB
ccsj-78	76	11	(	(	PUNCT
ccsj-78	76	12	3.2	3.2	NUM
ccsj-78	76	13	)	)	PUNCT
ccsj-78	76	14	version	version	NOUN
ccsj-78	76	15	of	of	ADP
ccsj-78	76	16	equation	equation	NOUN
ccsj-78	76	17	(	(	PUNCT
ccsj-78	76	18	3.2	3.2	NUM
ccsj-78	76	19	)	)	PUNCT
ccsj-78	76	20	is	be	AUX
ccsj-78	76	21	with	with	ADP
ccsj-78	76	22	gray	gray	ADJ
ccsj-78	76	23	-	-	PUNCT
ccsj-78	76	24	world	world	NOUN
ccsj-78	76	25	color	color	NOUN
ccsj-78	76	26	normalization	normalization	NOUN
ccsj-78	76	27	can	can	AUX
ccsj-78	76	28	be	be	AUX
ccsj-78	76	29	replaced	replace	VERB
ccsj-78	76	30	with	with	ADP
ccsj-78	76	31	other	other	ADJ
ccsj-78	76	32	techniques	technique	NOUN
ccsj-78	76	33	,	,	PUNCT
ccsj-78	76	34	that	that	PRON
ccsj-78	76	35	remove	remove	VERB
ccsj-78	76	36	illuminant	illuminant	ADJ
ccsj-78	76	37	casts	cast	NOUN
ccsj-78	76	38	,	,	PUNCT
ccsj-78	76	39	as	as	ADP
ccsj-78	76	40	for	for	ADP
ccsj-78	76	41	instance	instance	NOUN
ccsj-78	77	1	[	[	X
ccsj-78	77	2	22	22	NUM
ccsj-78	77	3	]	]	PUNCT
ccsj-78	77	4	or	or	CCONJ
ccsj-78	77	5	[	[	X
ccsj-78	77	6	23	23	NUM
ccsj-78	77	7	]	]	PUNCT
ccsj-78	77	8	.	.	PUNCT
ccsj-78	78	1	the	the	DET
ccsj-78	78	2	grayworld	grayworld	NOUN
ccsj-78	78	3	normalization	normalization	NOUN
ccsj-78	78	4	has	have	AUX
ccsj-78	78	5	been	be	AUX
ccsj-78	78	6	chosen	choose	VERB
ccsj-78	78	7	here	here	ADV
ccsj-78	78	8	among	among	ADP
ccsj-78	78	9	other	other	ADJ
ccsj-78	78	10	color	color	NOUN
ccsj-78	78	11	normalization	normalization	NOUN
ccsj-78	78	12	approaches	approach	NOUN
ccsj-78	78	13	,	,	PUNCT
ccsj-78	78	14	due	due	ADP
ccsj-78	78	15	to	to	ADP
ccsj-78	78	16	its	its	PRON
ccsj-78	78	17	low	low	ADJ
ccsj-78	78	18	computational	computational	ADJ
ccsj-78	78	19	charge	charge	NOUN
ccsj-78	78	20	.	.	PUNCT
ccsj-78	79	1	the	the	DET
ccsj-78	79	2	histograms	histogram	NOUN
ccsj-78	79	3	of	of	ADP
ccsj-78	79	4	two	two	NUM
ccsj-78	79	5	textured	texture	VERB
ccsj-78	79	6	images	image	NOUN
ccsj-78	79	7	,	,	PUNCT
ccsj-78	79	8	possibly	possibly	ADV
ccsj-78	79	9	related	relate	VERB
ccsj-78	79	10	by	by	ADP
ccsj-78	79	11	an	an	DET
ccsj-78	79	12	illuminant	illuminant	ADJ
ccsj-78	79	13	changes	change	NOUN
ccsj-78	79	14	,	,	PUNCT
ccsj-78	79	15	are	be	AUX
ccsj-78	79	16	then	then	ADV
ccsj-78	79	17	matched	match	VERB
ccsj-78	79	18	by	by	ADP
ccsj-78	79	19	comparing	compare	VERB
ccsj-78	79	20	their	their	PRON
ccsj-78	79	21	distance	distance	NOUN
ccsj-78	79	22	,	,	PUNCT
ccsj-78	79	23	that	that	PRON
ccsj-78	79	24	is	be	AUX
ccsj-78	79	25	a	a	DET
ccsj-78	79	26	metric	metric	NOUN
ccsj-78	79	27	usually	usually	ADV
ccsj-78	79	28	defined	define	VERB
ccsj-78	79	29	over	over	ADP
ccsj-78	79	30	a	a	DET
ccsj-78	79	31	lebesgue	lebesgue	NOUN
ccsj-78	79	32	integrable	integrable	ADJ
ccsj-78	79	33	function	function	NOUN
ccsj-78	79	34	space	space	NOUN
ccsj-78	79	35	[	[	X
ccsj-78	79	36	13	13	NUM
ccsj-78	79	37	]	]	PUNCT
ccsj-78	79	38	.	.	PUNCT
ccsj-78	80	1	precisely	precisely	ADV
ccsj-78	80	2	,	,	PUNCT
ccsj-78	80	3	given	give	VERB
ccsj-78	80	4	two	two	NUM
ccsj-78	80	5	integrable	integrable	ADJ
ccsj-78	80	6	(	(	PUNCT
ccsj-78	80	7	real	real	ADV
ccsj-78	80	8	-	-	PUNCT
ccsj-78	80	9	valued	value	VERB
ccsj-78	80	10	or	or	CCONJ
ccsj-78	80	11	complex	complex	ADJ
ccsj-78	80	12	)	)	PUNCT
ccsj-78	80	13	functions	function	NOUN
ccsj-78	80	14	and	and	CCONJ
ccsj-78	80	15	defined	define	VERB
ccsj-78	80	16	over	over	ADP
ccsj-78	80	17	a	a	DET
ccsj-78	80	18	domain	domain	NOUN
ccsj-78	80	19	,	,	PUNCT
ccsj-78	80	20	the	the	DET
ccsj-78	80	21	distance	distance	NOUN
ccsj-78	80	22	between	between	ADP
ccsj-78	80	23	and	and	CCONJ
ccsj-78	80	24	is	be	AUX
ccsj-78	80	25	where	where	SCONJ
ccsj-78	80	26	.	.	PUNCT
ccsj-78	81	1	the	the	DET
ccsj-78	81	2	equation	equation	NOUN
ccsj-78	81	3	of	of	ADP
ccsj-78	81	4	the	the	DET
ccsj-78	81	5	distance	distance	NOUN
ccsj-78	81	6	can	can	AUX
ccsj-78	81	7	be	be	AUX
ccsj-78	81	8	easily	easily	ADV
ccsj-78	81	9	re	re	VERB
ccsj-78	81	10	-	-	VERB
ccsj-78	81	11	formulated	formulate	VERB
ccsj-78	81	12	for	for	ADP
ccsj-78	81	13	discrete	discrete	ADJ
ccsj-78	81	14	functions	function	NOUN
ccsj-78	81	15	,	,	PUNCT
ccsj-78	81	16	by	by	ADP
ccsj-78	81	17	replacing	replace	VERB
ccsj-78	81	18	the	the	DET
ccsj-78	81	19	integral	integral	ADJ
ccsj-78	81	20	with	with	ADP
ccsj-78	81	21	a	a	DET
ccsj-78	81	22	sum	sum	NOUN
ccsj-78	81	23	,	,	PUNCT
ccsj-78	81	24	so	so	SCONJ
ccsj-78	81	25	that	that	SCONJ
ccsj-78	81	26	the	the	DET
ccsj-78	81	27	distance	distance	NOUN
ccsj-78	81	28	can	can	AUX
ccsj-78	81	29	be	be	AUX
ccsj-78	81	30	computed	compute	VERB
ccsj-78	81	31	also	also	ADV
ccsj-78	81	32	in	in	ADP
ccsj-78	81	33	case	case	NOUN
ccsj-78	81	34	of	of	ADP
ccsj-78	81	35	discrete	discrete	ADJ
ccsj-78	81	36	data	datum	NOUN
ccsj-78	81	37	,	,	PUNCT
ccsj-78	81	38	as	as	ADP
ccsj-78	81	39	histograms	histogram	NOUN
ccsj-78	81	40	or	or	CCONJ
ccsj-78	81	41	images	image	NOUN
ccsj-78	81	42	.	.	PUNCT
ccsj-78	82	1	when	when	SCONJ
ccsj-78	82	2	p	p	NOUN
ccsj-78	82	3	=	=	NOUN
ccsj-78	82	4	2	2	NUM
ccsj-78	82	5	,	,	PUNCT
ccsj-78	82	6	and	and	CCONJ
ccsj-78	82	7	and	and	CCONJ
ccsj-78	82	8	are	be	AUX
ccsj-78	82	9	encoded	encode	VERB
ccsj-78	82	10	as	as	ADP
ccsj-78	82	11	vectors	vector	NOUN
ccsj-78	82	12	with	with	ADP
ccsj-78	82	13	finite	finite	ADJ
ccsj-78	82	14	dimension	dimension	NOUN
ccsj-78	82	15	,	,	PUNCT
ccsj-78	82	16	the	the	DET
ccsj-78	82	17	distance	distance	NOUN
ccsj-78	82	18	is	be	AUX
ccsj-78	82	19	the	the	DET
ccsj-78	82	20	euclidean	euclidean	ADJ
ccsj-78	82	21	distance	distance	NOUN
ccsj-78	82	22	.	.	PUNCT
ccsj-78	83	1	3.2	3.2	NUM
ccsj-78	83	2	.	.	PUNCT
ccsj-78	84	1	the	the	DET
ccsj-78	84	2	vk	vk	NOUN
ccsj-78	84	3	-	-	PUNCT
ccsj-78	84	4	algorithm	algorithm	NOUN
ccsj-78	84	5	this	this	DET
ccsj-78	84	6	algorithm	algorithm	NOUN
ccsj-78	84	7	is	be	AUX
ccsj-78	84	8	named	name	VERB
ccsj-78	84	9	vk	vk	NOUN
ccsj-78	84	10	-	-	PUNCT
ccsj-78	84	11	algorithm	algorithm	NOUN
ccsj-78	84	12	because	because	SCONJ
ccsj-78	84	13	it	it	PRON
ccsj-78	84	14	relies	rely	VERB
ccsj-78	84	15	on	on	ADP
ccsj-78	84	16	the	the	DET
ccsj-78	84	17	von	von	PROPN
ccsj-78	84	18	kries	kries	PROPN
ccsj-78	84	19	model	model	NOUN
ccsj-78	85	1	[	[	X
ccsj-78	85	2	14	14	NUM
ccsj-78	85	3	]	]	X
ccsj-78	86	1	[	[	X
ccsj-78	86	2	16	16	NUM
ccsj-78	86	3	]	]	PUNCT
ccsj-78	86	4	.	.	PUNCT
ccsj-78	87	1	the	the	DET
ccsj-78	87	2	vk	vk	NOUN
ccsj-78	87	3	-	-	PUNCT
ccsj-78	87	4	algorithm	algorithm	NOUN
ccsj-78	87	5	describes	describe	VERB
ccsj-78	87	6	the	the	DET
ccsj-78	87	7	image	image	NOUN
ccsj-78	87	8	appearance	appearance	NOUN
ccsj-78	87	9	by	by	ADP
ccsj-78	87	10	the	the	DET
ccsj-78	87	11	joint	joint	ADJ
ccsj-78	87	12	probability	probability	NOUN
ccsj-78	87	13	of	of	ADP
ccsj-78	87	14	color	color	NOUN
ccsj-78	87	15	and	and	CCONJ
ccsj-78	87	16	texture	texture	NOUN
ccsj-78	87	17	,	,	PUNCT
ccsj-78	87	18	without	without	ADP
ccsj-78	87	19	any	any	DET
ccsj-78	87	20	color	color	NOUN
ccsj-78	87	21	normalization	normalization	NOUN
ccsj-78	87	22	.	.	PUNCT
ccsj-78	88	1	the	the	DET
ccsj-78	88	2	probability	probability	NOUN
ccsj-78	88	3	map	map	NOUN
ccsj-78	88	4	is	be	AUX
ccsj-78	88	5	computed	compute	VERB
ccsj-78	88	6	as	as	ADP
ccsj-78	88	7	before	before	ADV
ccsj-78	88	8	by	by	ADP
ccsj-78	88	9	splitting	split	VERB
ccsj-78	88	10	the	the	DET
ccsj-78	88	11	input	input	NOUN
ccsj-78	88	12	rgb	rgb	PROPN
ccsj-78	88	13	images	image	NOUN
ccsj-78	88	14	into	into	ADP
ccsj-78	88	15	its	its	PRON
ccsj-78	88	16	three	three	NUM
ccsj-78	88	17	channels	channel	NOUN
ccsj-78	88	18	and	and	CCONJ
ccsj-78	88	19	by	by	ADP
ccsj-78	88	20	computing	compute	VERB
ccsj-78	88	21	the	the	DET
ccsj-78	88	22	histograms	histogram	NOUN
ccsj-78	88	23	of	of	ADP
ccsj-78	88	24	color	color	NOUN
ccsj-78	88	25	and	and	CCONJ
ccsj-78	88	26	lbp	lbp	NOUN
ccsj-78	88	27	as	as	ADP
ccsj-78	88	28	in	in	ADP
ccsj-78	88	29	the	the	DET
ccsj-78	88	30	equations	equation	NOUN
ccsj-78	88	31	(	(	PUNCT
ccsj-78	88	32	3.2	3.2	NUM
ccsj-78	88	33	)	)	PUNCT
ccsj-78	88	34	or	or	CCONJ
ccsj-78	88	35	(	(	PUNCT
ccsj-78	88	36	3.3	3.3	NUM
ccsj-78	88	37	)	)	PUNCT
ccsj-78	88	38	where	where	SCONJ
ccsj-78	88	39	and	and	CCONJ
ccsj-78	88	40	are	be	AUX
ccsj-78	88	41	replaced	replace	VERB
ccsj-78	88	42	by	by	ADP
ccsj-78	88	43	and	and	CCONJ
ccsj-78	88	44	,	,	PUNCT
ccsj-78	88	45	respectively	respectively	ADV
ccsj-78	88	46	.	.	PUNCT
ccsj-78	89	1	according	accord	VERB
ccsj-78	89	2	to	to	ADP
ccsj-78	89	3	the	the	DET
ccsj-78	89	4	von	von	PROPN
ccsj-78	89	5	kries	kries	PROPN
ccsj-78	89	6	model	model	PROPN
ccsj-78	89	7	,	,	PUNCT
ccsj-78	89	8	the	the	DET
ccsj-78	89	9	probability	probability	NOUN
ccsj-78	89	10	maps	map	NOUN
ccsj-78	89	11	and	and	CCONJ
ccsj-78	89	12	of	of	ADP
ccsj-78	89	13	each	each	DET
ccsj-78	89	14	color	color	NOUN
ccsj-78	89	15	channel	channel	NOUN
ccsj-78	89	16	of	of	ADP
ccsj-78	89	17	two	two	NUM
ccsj-78	89	18	images	image	NOUN
ccsj-78	89	19	and	and	CCONJ
ccsj-78	89	20	of	of	ADP
ccsj-78	89	21	the	the	DET
ccsj-78	89	22	same	same	ADJ
ccsj-78	89	23	scene	scene	NOUN
ccsj-78	89	24	imaged	image	VERB
ccsj-78	89	25	under	under	ADP
ccsj-78	89	26	two	two	NUM
ccsj-78	89	27	different	different	ADJ
ccsj-78	89	28	illuminants	illuminant	NOUN
ccsj-78	89	29	are	be	AUX
ccsj-78	89	30	stretched	stretch	VERB
ccsj-78	89	31	to	to	ADP
ccsj-78	89	32	each	each	DET
ccsj-78	89	33	other	other	ADJ
ccsj-78	89	34	by	by	ADP
ccsj-78	89	35	the	the	DET
ccsj-78	89	36	von	von	PROPN
ccsj-78	89	37	kries	kries	PROPN
ccsj-78	89	38	coefficients	coefficient	VERB
ccsj-78	89	39	along	along	ADP
ccsj-78	89	40	the	the	DET
ccsj-78	89	41	horizontal	horizontal	ADJ
ccsj-78	89	42	axis	axis	NOUN
ccsj-78	89	43	,	,	PUNCT
ccsj-78	89	44	i.e.	i.e.	X
ccsj-78	89	45	for	for	SCONJ
ccsj-78	89	46	any	any	PRON
ccsj-78	89	47	(	(	PUNCT
ccsj-78	89	48	see	see	VERB
ccsj-78	89	49	fig	fig	NOUN
ccsj-78	89	50	.	.	PUNCT
ccsj-78	90	1	3	3	NUM
ccsj-78	90	2	)	)	PUNCT
ccsj-78	90	3	.	.	PUNCT
ccsj-78	91	1	given	give	VERB
ccsj-78	91	2	a	a	DET
ccsj-78	91	3	query	query	NOUN
ccsj-78	91	4	image	image	NOUN
ccsj-78	91	5	and	and	CCONJ
ccsj-78	91	6	a	a	DET
ccsj-78	91	7	reference	reference	NOUN
ccsj-78	91	8	,	,	PUNCT
ccsj-78	91	9	the	the	DET
ccsj-78	91	10	vkalgorithm	vkalgorithm	ADJ
ccsj-78	91	11	matches	match	NOUN
ccsj-78	91	12	and	and	CCONJ
ccsj-78	91	13	as	as	SCONJ
ccsj-78	91	14	follows	follow	VERB
ccsj-78	91	15	:	:	PUNCT
ccsj-78	91	16	a.	a.	NOUN
ccsj-78	91	17	the	the	DET
ccsj-78	91	18	coefficients	coefficient	NOUN
ccsj-78	91	19	s	s	PART
ccsj-78	91	20	are	be	AUX
ccsj-78	91	21	estimated	estimate	VERB
ccsj-78	91	22	by	by	ADP
ccsj-78	91	23	the	the	DET
ccsj-78	91	24	method	method	NOUN
ccsj-78	91	25	proposed	propose	VERB
ccsj-78	91	26	in	in	ADP
ccsj-78	91	27	[	[	X
ccsj-78	91	28	15	15	NUM
ccsj-78	91	29	]	]	X
ccsj-78	91	30	:	:	PUNCT
ccsj-78	91	31	this	this	PRON
ccsj-78	91	32	minimizes	minimize	VERB
ccsj-78	91	33	the	the	DET
ccsj-78	91	34	parametric	parametric	ADJ
ccsj-78	91	35	earth	earth	NOUN
ccsj-78	91	36	mover	mover	NOUN
ccsj-78	91	37	distance	distance	NOUN
ccsj-78	91	38	between	between	ADP
ccsj-78	91	39	the	the	DET
ccsj-78	91	40	rgb	rgb	PROPN
ccsj-78	91	41	color	color	NOUN
ccsj-78	91	42	histograms	histogram	NOUN
ccsj-78	91	43	of	of	ADP
ccsj-78	91	44	and	and	CCONJ
ccsj-78	91	45	,	,	PUNCT
ccsj-78	91	46	or	or	CCONJ
ccsj-78	91	47	equivalently	equivalently	ADV
ccsj-78	91	48	,	,	PUNCT
ccsj-78	91	49	(	(	PUNCT
ccsj-78	91	50	3.3	3.3	NUM
ccsj-78	91	51	)	)	PUNCT
ccsj-78	91	52	(	(	PUNCT
ccsj-78	91	53	3.1	3.1	NUM
ccsj-78	91	54	)	)	PUNCT
ccsj-78	91	55	33	33	NUM
ccsj-78	91	56	cultura	cultura	NOUN
ccsj-78	91	57	e	e	PROPN
ccsj-78	91	58	scienza	scienza	PROPN
ccsj-78	91	59	del	del	PROPN
ccsj-78	91	60	colore	colore	PROPN
ccsj-78	91	61	color	color	NOUN
ccsj-78	91	62	culture	culture	NOUN
ccsj-78	91	63	and	and	CCONJ
ccsj-78	91	64	science	science	NOUN
ccsj-78	91	65	|	|	ADV
ccsj-78	91	66	07	07	NUM
ccsj-78	92	1	|	|	NOUN
ccsj-78	92	2	2017	2017	NUM
ccsj-78	92	3	|	|	ADV
ccsj-78	92	4	29	29	NUM
ccsj-78	92	5	38	38	NUM
ccsj-78	92	6	using	use	VERB
ccsj-78	92	7	color	color	NOUN
ccsj-78	92	8	and	and	CCONJ
ccsj-78	92	9	local	local	ADJ
ccsj-78	92	10	binary	binary	ADJ
ccsj-78	92	11	patterns	pattern	NOUN
ccsj-78	92	12	for	for	ADP
ccsj-78	92	13	texture	texture	ADJ
ccsj-78	92	14	retrieval	retrieval	NOUN
ccsj-78	92	15	issn	issn	PROPN
ccsj-78	92	16	2384	2384	NUM
ccsj-78	92	17	-	-	SYM
ccsj-78	92	18	9568	9568	NUM
ccsj-78	92	19	between	between	ADP
ccsj-78	92	20	the	the	DET
ccsj-78	92	21	horizontal	horizontal	ADJ
ccsj-78	92	22	projections	projection	NOUN
ccsj-78	92	23	of	of	ADP
ccsj-78	92	24	and	and	CCONJ
ccsj-78	92	25	.	.	PUNCT
ccsj-78	93	1	formally	formally	ADV
ccsj-78	93	2	,	,	PUNCT
ccsj-78	93	3	let	let	VERB
ccsj-78	93	4	and	and	CCONJ
ccsj-78	93	5	be	be	AUX
ccsj-78	93	6	the	the	DET
ccsj-78	93	7	histograms	histogram	NOUN
ccsj-78	93	8	of	of	ADP
ccsj-78	93	9	the	the	DET
ccsj-78	93	10	-th	-th	ADJ
ccsj-78	93	11	color	color	NOUN
ccsj-78	93	12	channel	channel	NOUN
ccsj-78	93	13	of	of	ADP
ccsj-78	93	14	and	and	CCONJ
ccsj-78	93	15	respectively	respectively	ADV
ccsj-78	93	16	.	.	PUNCT
ccsj-78	94	1	by	by	ADP
ccsj-78	94	2	the	the	DET
ccsj-78	94	3	von	von	PROPN
ccsj-78	94	4	kries	kries	PROPN
ccsj-78	94	5	model	model	NOUN
ccsj-78	94	6	thus	thus	ADV
ccsj-78	94	7	,	,	PUNCT
ccsj-78	94	8	the	the	DET
ccsj-78	94	9	method	method	NOUN
ccsj-78	94	10	in	in	ADP
ccsj-78	94	11	[	[	X
ccsj-78	94	12	15	15	NUM
ccsj-78	94	13	]	]	PUNCT
ccsj-78	94	14	computes	compute	VERB
ccsj-78	94	15	the	the	DET
ccsj-78	94	16	set	set	NOUN
ccsj-78	94	17	and	and	CCONJ
ccsj-78	94	18	estimates	estimate	NOUN
ccsj-78	94	19	by	by	ADP
ccsj-78	94	20	a	a	DET
ccsj-78	94	21	least	least	ADJ
ccsj-78	94	22	square	square	ADJ
ccsj-78	94	23	approach	approach	NOUN
ccsj-78	94	24	that	that	PRON
ccsj-78	94	25	finds	find	VERB
ccsj-78	94	26	the	the	DET
ccsj-78	94	27	best	good	ADJ
ccsj-78	94	28	line	line	NOUN
ccsj-78	94	29	fitting	fit	VERB
ccsj-78	94	30	the	the	DET
ccsj-78	94	31	points	point	NOUN
ccsj-78	94	32	of	of	ADP
ccsj-78	94	33	.	.	PUNCT
ccsj-78	95	1	the	the	DET
ccsj-78	95	2	similarity	similarity	NOUN
ccsj-78	95	3	between	between	ADP
ccsj-78	95	4	and	and	CCONJ
ccsj-78	95	5	is	be	AUX
ccsj-78	95	6	measured	measure	VERB
ccsj-78	95	7	by	by	ADP
ccsj-78	95	8	the	the	DET
ccsj-78	95	9	earth	earth	NOUN
ccsj-78	95	10	mover	mover	NOUN
ccsj-78	95	11	distance	distance	NOUN
ccsj-78	95	12	(	(	PUNCT
ccsj-78	95	13	emd	emd	PROPN
ccsj-78	95	14	)	)	PUNCT
ccsj-78	95	15	between	between	ADP
ccsj-78	95	16	and	and	CCONJ
ccsj-78	95	17	.	.	PUNCT
ccsj-78	96	1	this	this	DET
ccsj-78	96	2	distance	distance	NOUN
ccsj-78	96	3	will	will	AUX
ccsj-78	96	4	be	be	AUX
ccsj-78	96	5	referred	refer	VERB
ccsj-78	96	6	hereafter	hereafter	ADV
ccsj-78	96	7	as	as	ADP
ccsj-78	96	8	parametric	parametric	PROPN
ccsj-78	96	9	emd	emd	PROPN
ccsj-78	96	10	,	,	PUNCT
ccsj-78	96	11	because	because	SCONJ
ccsj-78	96	12	of	of	ADP
ccsj-78	96	13	its	its	PRON
ccsj-78	96	14	dependency	dependency	NOUN
ccsj-78	96	15	on	on	ADP
ccsj-78	96	16	the	the	DET
ccsj-78	96	17	coefficient	coefficient	NOUN
ccsj-78	96	18	(	(	PUNCT
ccsj-78	96	19	see	see	VERB
ccsj-78	96	20	[	[	X
ccsj-78	96	21	15	15	NUM
ccsj-78	96	22	]	]	PUNCT
ccsj-78	96	23	and	and	CCONJ
ccsj-78	96	24	[	[	X
ccsj-78	96	25	16	16	NUM
ccsj-78	96	26	]	]	PUNCT
ccsj-78	96	27	for	for	ADP
ccsj-78	96	28	more	more	ADJ
ccsj-78	96	29	details	detail	NOUN
ccsj-78	96	30	)	)	PUNCT
ccsj-78	96	31	;	;	PUNCT
ccsj-78	96	32	b.	b.	PROPN
ccsj-78	96	33	the	the	DET
ccsj-78	96	34	probability	probability	NOUN
ccsj-78	96	35	is	be	AUX
ccsj-78	96	36	stretched	stretch	VERB
ccsj-78	96	37	accordingly	accordingly	ADV
ccsj-78	96	38	,	,	PUNCT
ccsj-78	96	39	i.e.	i.e.	X
ccsj-78	96	40	;	;	PUNCT
ccsj-78	96	41	c.	c.	PROPN
ccsj-78	96	42	finally	finally	ADV
ccsj-78	96	43	and	and	CCONJ
ccsj-78	96	44	are	be	AUX
ccsj-78	96	45	compared	compare	VERB
ccsj-78	96	46	by	by	ADP
ccsj-78	96	47	a	a	DET
ccsj-78	96	48	distance	distance	NOUN
ccsj-78	96	49	.	.	PUNCT
ccsj-78	97	1	if	if	SCONJ
ccsj-78	97	2	and	and	CCONJ
ccsj-78	97	3	are	be	AUX
ccsj-78	97	4	actually	actually	ADV
ccsj-78	97	5	related	relate	VERB
ccsj-78	97	6	by	by	ADP
ccsj-78	97	7	an	an	DET
ccsj-78	97	8	illuminant	illuminant	ADJ
ccsj-78	97	9	change	change	NOUN
ccsj-78	97	10	,	,	PUNCT
ccsj-78	97	11	then	then	ADV
ccsj-78	97	12	the	the	DET
ccsj-78	97	13	distance	distance	NOUN
ccsj-78	97	14	between	between	ADP
ccsj-78	97	15	and	and	CCONJ
ccsj-78	97	16	is	be	AUX
ccsj-78	97	17	zero	zero	NUM
ccsj-78	97	18	.	.	PUNCT
ccsj-78	98	1	4	4	X
ccsj-78	98	2	.	.	X
ccsj-78	98	3	experiments	experiment	VERB
ccsj-78	98	4	the	the	DET
ccsj-78	98	5	performance	performance	NOUN
ccsj-78	98	6	of	of	ADP
ccsj-78	98	7	the	the	DET
ccsj-78	98	8	gwand	gwand	PROPN
ccsj-78	98	9	vkretrieval	vkretrieval	NOUN
ccsj-78	98	10	algorithms	algorithm	NOUN
ccsj-78	98	11	has	have	AUX
ccsj-78	98	12	been	be	AUX
ccsj-78	98	13	measured	measure	VERB
ccsj-78	98	14	on	on	ADP
ccsj-78	98	15	the	the	DET
ccsj-78	98	16	public	public	ADJ
ccsj-78	98	17	real	real	ADJ
ccsj-78	98	18	-	-	PUNCT
ccsj-78	98	19	world	world	NOUN
ccsj-78	98	20	image	image	NOUN
ccsj-78	98	21	dataset	dataset	VERB
ccsj-78	98	22	outex_tc_00014	outex_tc_00014	NOUN
ccsj-78	99	1	[	[	X
ccsj-78	99	2	17	17	NUM
ccsj-78	99	3	]	]	PUNCT
ccsj-78	99	4	,	,	PUNCT
ccsj-78	99	5	that	that	SCONJ
ccsj-78	99	6	here	here	ADV
ccsj-78	99	7	will	will	AUX
ccsj-78	99	8	be	be	AUX
ccsj-78	99	9	indicates	indicate	VERB
ccsj-78	99	10	as	as	ADP
ccsj-78	99	11	outex	outex	NOUN
ccsj-78	99	12	for	for	ADP
ccsj-78	99	13	shortness	shortness	NOUN
ccsj-78	99	14	.	.	PUNCT
ccsj-78	100	1	outex	outex	PROPN
ccsj-78	100	2	consists	consist	VERB
ccsj-78	100	3	of	of	ADP
ccsj-78	100	4	68	68	NUM
ccsj-78	100	5	different	different	ADJ
ccsj-78	100	6	classes	class	NOUN
ccsj-78	100	7	of	of	ADP
ccsj-78	100	8	colored	colored	ADJ
ccsj-78	100	9	textures	texture	NOUN
ccsj-78	100	10	,	,	PUNCT
ccsj-78	100	11	each	each	PRON
ccsj-78	100	12	represented	represent	VERB
ccsj-78	100	13	by	by	ADP
ccsj-78	100	14	20	20	NUM
ccsj-78	100	15	images	image	NOUN
ccsj-78	100	16	and	and	CCONJ
ccsj-78	100	17	captured	capture	VERB
ccsj-78	100	18	under	under	ADP
ccsj-78	100	19	three	three	NUM
ccsj-78	100	20	different	different	ADJ
ccsj-78	100	21	lights	light	NOUN
ccsj-78	100	22	(	(	PUNCT
ccsj-78	100	23	a	a	DET
ccsj-78	100	24	2856k	2856k	NUM
ccsj-78	100	25	incandescent	incandescent	NOUN
ccsj-78	100	26	cie	cie	NOUN
ccsj-78	100	27	a	a	DET
ccsj-78	100	28	light	light	NOUN
ccsj-78	100	29	denoted	denote	VERB
ccsj-78	100	30	as	as	ADP
ccsj-78	100	31	“	"	PUNCT
ccsj-78	100	32	inca	inca	PROPN
ccsj-78	100	33	”	"	PUNCT
ccsj-78	100	34	,	,	PUNCT
ccsj-78	100	35	a	a	DET
ccsj-78	100	36	figure	figure	NOUN
ccsj-78	100	37	3	3	NUM
ccsj-78	100	38	a	a	DET
ccsj-78	100	39	texture	texture	NOUN
ccsj-78	100	40	from	from	ADP
ccsj-78	100	41	outex	outex	NOUN
ccsj-78	100	42	imaged	image	VERB
ccsj-78	100	43	under	under	ADP
ccsj-78	100	44	the	the	DET
ccsj-78	100	45	three	three	NUM
ccsj-78	100	46	lights	light	NOUN
ccsj-78	100	47	inca	inca	PROPN
ccsj-78	100	48	,	,	PUNCT
ccsj-78	100	49	tl84	tl84	PROPN
ccsj-78	100	50	,	,	PUNCT
ccsj-78	100	51	horizon	horizon	NOUN
ccsj-78	100	52	(	(	PUNCT
ccsj-78	100	53	see	see	VERB
ccsj-78	100	54	section	section	NOUN
ccsj-78	100	55	4	4	NUM
ccsj-78	100	56	for	for	ADP
ccsj-78	100	57	more	more	ADJ
ccsj-78	100	58	details	detail	NOUN
ccsj-78	100	59	)	)	PUNCT
ccsj-78	100	60	with	with	ADP
ccsj-78	100	61	their	their	PRON
ccsj-78	100	62	gray	gray	ADJ
ccsj-78	100	63	-world	-world	NOUN
ccsj-78	100	64	corrected	correct	VERB
ccsj-78	100	65	images	image	NOUN
ccsj-78	100	66	and	and	CCONJ
ccsj-78	100	67	the	the	DET
ccsj-78	100	68	color	color	NOUN
ccsj-78	100	69	&	&	CCONJ
ccsj-78	100	70	tex	tex	PROPN
ccsj-78	100	71	ture	ture	NOUN
ccsj-78	100	72	probabilities	probability	NOUN
ccsj-78	100	73	implemented	implement	VERB
ccsj-78	100	74	by	by	ADP
ccsj-78	100	75	gwand	gwand	PROPN
ccsj-78	100	76	vk	vk	NOUN
ccsj-78	100	77	-	-	PUNCT
ccsj-78	100	78	algorithms	algorithms	NOUN
ccsj-78	100	79	without	without	ADP
ccsj-78	100	80	weights	weight	NOUN
ccsj-78	100	81	and	and	CCONJ
ccsj-78	100	82	with	with	ADP
ccsj-78	100	83	(	(	PUNCT
ccsj-78	100	84	=	=	NOUN
ccsj-78	100	85	1	1	NUM
ccsj-78	100	86	,	,	PUNCT
ccsj-78	100	87	=	=	NOUN
ccsj-78	100	88	8)	8)	NUM
ccsj-78	100	89	.	.	NOUN
ccsj-78	100	90	2300k	2300k	PROPN
ccsj-78	100	91	horizon	horizon	NOUN
ccsj-78	100	92	sunlight	sunlight	NOUN
ccsj-78	100	93	denoted	denote	VERB
ccsj-78	100	94	as	as	ADP
ccsj-78	100	95	“	"	PUNCT
ccsj-78	100	96	horizon	horizon	NOUN
ccsj-78	100	97	”	"	PUNCT
ccsj-78	100	98	,	,	PUNCT
ccsj-78	100	99	and	and	CCONJ
ccsj-78	100	100	a	a	DET
ccsj-78	100	101	4000k	4000k	NOUN
ccsj-78	100	102	fluorescent	fluorescent	NOUN
ccsj-78	100	103	light	light	NOUN
ccsj-78	100	104	denoted	denote	VERB
ccsj-78	100	105	as	as	ADP
ccsj-78	100	106	“	"	PUNCT
ccsj-78	100	107	tl84	tl84	PROPN
ccsj-78	100	108	”	"	PUNCT
ccsj-78	100	109	)	)	PUNCT
ccsj-78	100	110	.	.	PUNCT
ccsj-78	101	1	fig	fig	NOUN
ccsj-78	101	2	.	.	PUNCT
ccsj-78	102	1	3	3	NUM
ccsj-78	102	2	and	and	CCONJ
ccsj-78	102	3	fig	fig	NOUN
ccsj-78	102	4	.	.	PUNCT
ccsj-78	103	1	4	4	NUM
ccsj-78	103	2	show	show	VERB
ccsj-78	103	3	some	some	DET
ccsj-78	103	4	examples	example	NOUN
ccsj-78	103	5	.	.	PUNCT
ccsj-78	104	1	as	as	SCONJ
ccsj-78	104	2	already	already	ADV
ccsj-78	104	3	mentioned	mention	VERB
ccsj-78	104	4	in	in	ADP
ccsj-78	104	5	section	section	NOUN
ccsj-78	104	6	1	1	NUM
ccsj-78	104	7	,	,	PUNCT
ccsj-78	104	8	given	give	VERB
ccsj-78	104	9	a	a	DET
ccsj-78	104	10	query	query	NOUN
ccsj-78	104	11	and	and	CCONJ
ccsj-78	104	12	a	a	DET
ccsj-78	104	13	set	set	NOUN
ccsj-78	104	14	of	of	ADP
ccsj-78	104	15	references	reference	NOUN
ccsj-78	104	16	,	,	PUNCT
ccsj-78	104	17	the	the	DET
ccsj-78	104	18	image	image	NOUN
ccsj-78	104	19	retrieval	retrieval	NOUN
ccsj-78	104	20	problem	problem	NOUN
ccsj-78	104	21	consists	consist	VERB
ccsj-78	104	22	of	of	ADP
ccsj-78	104	23	finding	find	VERB
ccsj-78	104	24	the	the	DET
ccsj-78	104	25	reference	reference	NOUN
ccsj-78	104	26	,	,	PUNCT
ccsj-78	104	27	which	which	PRON
ccsj-78	104	28	is	be	AUX
ccsj-78	104	29	the	the	DET
ccsj-78	104	30	most	most	ADV
ccsj-78	104	31	similar	similar	ADJ
ccsj-78	104	32	to	to	ADP
ccsj-78	104	33	the	the	DET
ccsj-78	104	34	query	query	NOUN
ccsj-78	104	35	with	with	ADP
ccsj-78	104	36	respect	respect	NOUN
ccsj-78	104	37	to	to	ADP
ccsj-78	104	38	the	the	DET
ccsj-78	104	39	used	use	VERB
ccsj-78	104	40	features	feature	NOUN
ccsj-78	104	41	.	.	PUNCT
ccsj-78	105	1	in	in	ADP
ccsj-78	105	2	our	our	PRON
ccsj-78	105	3	framework	framework	NOUN
ccsj-78	105	4	,	,	PUNCT
ccsj-78	105	5	the	the	DET
ccsj-78	105	6	query	query	NOUN
ccsj-78	105	7	is	be	AUX
ccsj-78	105	8	correctly	correctly	ADV
ccsj-78	105	9	retrieved	retrieve	VERB
ccsj-78	105	10	if	if	SCONJ
ccsj-78	105	11	its	its	PRON
ccsj-78	105	12	class	class	NOUN
ccsj-78	105	13	matches	match	VERB
ccsj-78	105	14	the	the	DET
ccsj-78	105	15	class	class	NOUN
ccsj-78	105	16	of	of	ADP
ccsj-78	105	17	the	the	DET
ccsj-78	105	18	selected	select	VERB
ccsj-78	105	19	reference	reference	NOUN
ccsj-78	105	20	.	.	PUNCT
ccsj-78	106	1	the	the	DET
ccsj-78	106	2	experiments	experiment	NOUN
ccsj-78	106	3	have	have	AUX
ccsj-78	106	4	been	be	AUX
ccsj-78	106	5	carried	carry	VERB
ccsj-78	106	6	out	out	ADP
ccsj-78	106	7	by	by	ADP
ccsj-78	106	8	setting	set	VERB
ccsj-78	106	9	as	as	ADP
ccsj-78	106	10	references	reference	NOUN
ccsj-78	106	11	the	the	DET
ccsj-78	106	12	images	image	NOUN
ccsj-78	106	13	captured	capture	VERB
ccsj-78	106	14	under	under	ADP
ccsj-78	106	15	an	an	DET
ccsj-78	106	16	illuminant	illuminant	NOUN
ccsj-78	106	17	(	(	PUNCT
ccsj-78	106	18	=	=	SYM
ccsj-78	106	19	inca	inca	PROPN
ccsj-78	106	20	,	,	PUNCT
ccsj-78	106	21	horizon	horizon	PROPN
ccsj-78	106	22	,	,	PUNCT
ccsj-78	106	23	tl84	tl84	PROPN
ccsj-78	106	24	)	)	PUNCT
ccsj-78	106	25	,	,	PUNCT
ccsj-78	106	26	and	and	CCONJ
ccsj-78	106	27	as	as	ADP
ccsj-78	106	28	query	query	NOUN
ccsj-78	106	29	each	each	DET
ccsj-78	106	30	image	image	NOUN
ccsj-78	106	31	taken	take	VERB
ccsj-78	106	32	under	under	ADP
ccsj-78	106	33	another	another	DET
ccsj-78	106	34	illuminant	illuminant	NOUN
ccsj-78	106	35	(	(	PUNCT
ccsj-78	106	36	=	=	SYM
ccsj-78	106	37	inca	inca	PROPN
ccsj-78	106	38	,	,	PUNCT
ccsj-78	106	39	horizon	horizon	PROPN
ccsj-78	106	40	,	,	PUNCT
ccsj-78	106	41	tl84	tl84	PROPN
ccsj-78	106	42	)	)	PUNCT
ccsj-78	106	43	,	,	PUNCT
ccsj-78	106	44	and	and	CCONJ
ccsj-78	106	45	.	.	PUNCT
ccsj-78	107	1	the	the	DET
ccsj-78	107	2	retrieval	retrieval	NOUN
ccsj-78	107	3	accuracy	accuracy	NOUN
ccsj-78	107	4	has	have	AUX
ccsj-78	107	5	been	be	AUX
ccsj-78	107	6	measured	measure	VERB
ccsj-78	107	7	by	by	ADP
ccsj-78	107	8	the	the	DET
ccsj-78	107	9	average	average	ADJ
ccsj-78	107	10	match	match	NOUN
ccsj-78	107	11	percentile	percentile	ADJ
ccsj-78	107	12	(	(	PUNCT
ccsj-78	107	13	amp	amp	PROPN
ccsj-78	107	14	)	)	PUNCT
ccsj-78	107	15	and	and	CCONJ
ccsj-78	107	16	by	by	ADP
ccsj-78	107	17	the	the	DET
ccsj-78	107	18	recognition	recognition	NOUN
ccsj-78	107	19	rate	rate	NOUN
ccsj-78	107	20	(	(	PUNCT
ccsj-78	107	21	rr	rr	NOUN
ccsj-78	107	22	)	)	PUNCT
ccsj-78	107	23	.	.	PUNCT
ccsj-78	108	1	the	the	DET
ccsj-78	108	2	amp	amp	NOUN
ccsj-78	108	3	is	be	AUX
ccsj-78	108	4	defined	define	VERB
ccsj-78	108	5	as	as	ADP
ccsj-78	108	6	where	where	SCONJ
ccsj-78	108	7	is	be	AUX
ccsj-78	108	8	the	the	DET
ccsj-78	108	9	number	number	NOUN
ccsj-78	108	10	of	of	ADP
ccsj-78	108	11	references	reference	NOUN
ccsj-78	108	12	,	,	PUNCT
ccsj-78	108	13	and	and	CCONJ
ccsj-78	108	14	indicates	indicate	VERB
ccsj-78	108	15	the	the	DET
ccsj-78	108	16	position	position	NOUN
ccsj-78	108	17	of	of	ADP
ccsj-78	108	18	the	the	DET
ccsj-78	108	19	first	first	ADJ
ccsj-78	108	20	correct	correct	ADJ
ccsj-78	108	21	response	response	NOUN
ccsj-78	108	22	in	in	ADP
ccsj-78	108	23	the	the	DET
ccsj-78	108	24	sorted	sorted	ADJ
ccsj-78	108	25	list	list	NOUN
ccsj-78	108	26	of	of	ADP
ccsj-78	108	27	the	the	DET
ccsj-78	108	28	references	reference	NOUN
ccsj-78	108	29	output	output	NOUN
ccsj-78	108	30	by	by	ADP
ccsj-78	108	31	the	the	DET
ccsj-78	108	32	classifier	classifier	NOUN
ccsj-78	108	33	,	,	PUNCT
ccsj-78	108	34	while	while	SCONJ
ccsj-78	108	35	rr	rr	PROPN
ccsj-78	108	36	is	be	AUX
ccsj-78	108	37	the	the	DET
ccsj-78	108	38	percentage	percentage	NOUN
ccsj-78	108	39	of	of	ADP
ccsj-78	108	40	texture	texture	ADJ
ccsj-78	108	41	images	image	NOUN
ccsj-78	108	42	correctly	correctly	ADV
ccsj-78	108	43	classified	classify	VERB
ccsj-78	108	44	(	(	PUNCT
ccsj-78	108	45	i.e.	i.e.	X
ccsj-78	108	46	)	)	PUNCT
ccsj-78	108	47	.	.	PUNCT
ccsj-78	109	1	the	the	DET
ccsj-78	109	2	performance	performance	NOUN
ccsj-78	109	3	of	of	ADP
ccsj-78	109	4	the	the	DET
ccsj-78	109	5	gwand	gwand	PROPN
ccsj-78	109	6	vkalgorithms	vkalgorithm	NOUN
ccsj-78	109	7	has	have	AUX
ccsj-78	109	8	been	be	AUX
ccsj-78	109	9	compared	compare	VERB
ccsj-78	109	10	with	with	ADP
ccsj-78	109	11	that	that	DET
ccsj-78	109	12	output	output	NOUN
ccsj-78	109	13	by	by	ADP
ccsj-78	109	14	other	other	ADJ
ccsj-78	109	15	approaches	approach	NOUN
ccsj-78	109	16	that	that	PRON
ccsj-78	109	17	use	use	VERB
ccsj-78	109	18	exclusively	exclusively	ADV
ccsj-78	109	19	texture	texture	ADJ
ccsj-78	109	20	or	or	CCONJ
ccsj-78	109	21	color	color	NOUN
ccsj-78	109	22	information	information	NOUN
ccsj-78	109	23	.	.	PUNCT
ccsj-78	110	1	in	in	ADP
ccsj-78	110	2	particular	particular	ADJ
ccsj-78	110	3	,	,	PUNCT
ccsj-78	110	4	the	the	DET
ccsj-78	110	5	following	follow	VERB
ccsj-78	110	6	descriptors	descriptor	NOUN
ccsj-78	110	7	have	have	AUX
ccsj-78	110	8	been	be	AUX
ccsj-78	110	9	considered	consider	VERB
ccsj-78	110	10	:	:	PUNCT
ccsj-78	111	1	1	1	X
ccsj-78	111	2	.	.	PUNCT
ccsj-78	112	1	the	the	DET
ccsj-78	112	2	histograms	histogram	NOUN
ccsj-78	112	3	of	of	ADP
ccsj-78	112	4	the	the	DET
ccsj-78	112	5	lbprius	lbprius	PROPN
ccsj-78	112	6	computed	compute	VERB
ccsj-78	112	7	over	over	ADP
ccsj-78	112	8	the	the	DET
ccsj-78	112	9	rgb	rgb	PROPN
ccsj-78	112	10	color	color	NOUN
ccsj-78	112	11	channels	channel	NOUN
ccsj-78	112	12	;	;	PUNCT
ccsj-78	113	1	2	2	X
ccsj-78	113	2	.	.	X
ccsj-78	113	3	the	the	DET
ccsj-78	113	4	histograms	histogram	NOUN
ccsj-78	113	5	of	of	ADP
ccsj-78	113	6	the	the	DET
ccsj-78	113	7	lbprius	lbprius	PROPN
ccsj-78	113	8	computed	compute	VERB
ccsj-78	113	9	over	over	ADP
ccsj-78	113	10	the	the	DET
ccsj-78	113	11	1d	1d	NUM
ccsj-78	113	12	chromaticity	chromaticity	NOUN
ccsj-78	113	13	image	image	NOUN
ccsj-78	113	14	;	;	PUNCT
ccsj-78	113	15	3.the	3.the	DET
ccsj-78	113	16	histograms	histogram	NOUN
ccsj-78	113	17	of	of	ADP
ccsj-78	113	18	the	the	DET
ccsj-78	113	19	rgb	rgb	PROPN
ccsj-78	113	20	colors	color	NOUN
ccsj-78	113	21	of	of	ADP
ccsj-78	113	22	the	the	DET
ccsj-78	113	23	gray	gray	ADJ
ccsj-78	113	24	-	-	PUNCT
ccsj-78	113	25	world	world	NOUN
ccsj-78	113	26	normalized	normalize	VERB
ccsj-78	113	27	images	image	NOUN
ccsj-78	113	28	;	;	PUNCT
ccsj-78	113	29	34	34	NUM
ccsj-78	113	30	cultura	cultura	NOUN
ccsj-78	113	31	e	e	PROPN
ccsj-78	113	32	scienza	scienza	PROPN
ccsj-78	113	33	del	del	PROPN
ccsj-78	113	34	colore	colore	PROPN
ccsj-78	113	35	color	color	NOUN
ccsj-78	113	36	culture	culture	NOUN
ccsj-78	113	37	and	and	CCONJ
ccsj-78	113	38	science	science	NOUN
ccsj-78	113	39	|	|	ADV
ccsj-78	113	40	07	07	NUM
ccsj-78	113	41	|	|	NOUN
ccsj-78	113	42	2017	2017	NUM
ccsj-78	113	43	|	|	ADV
ccsj-78	113	44	29	29	NUM
ccsj-78	113	45	38	38	NUM
ccsj-78	113	46	lecca	lecca	PROPN
ccsj-78	113	47	m.	m.	PROPN
ccsj-78	113	48	issn	issn	PROPN
ccsj-78	113	49	2384	2384	NUM
ccsj-78	113	50	-	-	SYM
ccsj-78	113	51	9568	9568	NUM
ccsj-78	113	52	doi	doi	NOUN
ccsj-78	113	53	:	:	PUNCT
ccsj-78	113	54	10.23738	10.23738	NUM
ccsj-78	113	55	/	/	SYM
ccsj-78	113	56	ccsj.i72017.03	ccsj.i72017.03	ADJ
ccsj-78	113	57	4	4	NUM
ccsj-78	113	58	.	.	PUNCT
ccsj-78	114	1	the	the	DET
ccsj-78	114	2	histograms	histogram	NOUN
ccsj-78	114	3	of	of	ADP
ccsj-78	114	4	the	the	DET
ccsj-78	114	5	rgb	rgb	PROPN
ccsj-78	114	6	colors	color	NOUN
ccsj-78	114	7	of	of	ADP
ccsj-78	114	8	the	the	DET
ccsj-78	114	9	non	non	NOUN
ccsj-78	114	10	normalized	normalize	VERB
ccsj-78	114	11	images	image	NOUN
ccsj-78	114	12	.	.	PUNCT
ccsj-78	115	1	all	all	DET
ccsj-78	115	2	the	the	DET
ccsj-78	115	3	histograms	histogram	NOUN
ccsj-78	115	4	listed	list	VERB
ccsj-78	115	5	before	before	ADV
ccsj-78	115	6	have	have	AUX
ccsj-78	115	7	been	be	AUX
ccsj-78	115	8	computed	compute	VERB
ccsj-78	115	9	with	with	ADP
ccsj-78	115	10	and	and	CCONJ
ccsj-78	115	11	without	without	ADP
ccsj-78	115	12	euclidean	euclidean	ADJ
ccsj-78	115	13	distance	distance	NOUN
ccsj-78	115	14	weights	weight	NOUN
ccsj-78	115	15	.	.	PUNCT
ccsj-78	116	1	the	the	DET
ccsj-78	116	2	algorithms	algorithm	NOUN
ccsj-78	116	3	using	use	VERB
ccsj-78	116	4	the	the	DET
ccsj-78	116	5	features	feature	NOUN
ccsj-78	116	6	at	at	ADP
ccsj-78	116	7	points	point	NOUN
ccsj-78	116	8	1	1	NUM
ccsj-78	116	9	,	,	PUNCT
ccsj-78	116	10	2	2	NUM
ccsj-78	116	11	,	,	PUNCT
ccsj-78	116	12	3	3	NUM
ccsj-78	116	13	perform	perform	VERB
ccsj-78	116	14	image	image	NOUN
ccsj-78	116	15	retrieval	retrieval	NOUN
ccsj-78	116	16	by	by	ADP
ccsj-78	116	17	a	a	DET
ccsj-78	116	18	nearest	near	ADJ
ccsj-78	116	19	neighbor	neighbor	NOUN
ccsj-78	116	20	classifier	classifier	NOUN
ccsj-78	116	21	with	with	ADP
ccsj-78	116	22	the	the	DET
ccsj-78	116	23	distance	distance	NOUN
ccsj-78	116	24	(	(	PUNCT
ccsj-78	116	25	=	=	NOUN
ccsj-78	116	26	1	1	NUM
ccsj-78	116	27	,	,	PUNCT
ccsj-78	116	28	2	2	NUM
ccsj-78	116	29	)	)	PUNCT
ccsj-78	116	30	as	as	ADP
ccsj-78	116	31	similarity	similarity	NOUN
ccsj-78	116	32	measure	measure	NOUN
ccsj-78	116	33	.	.	PUNCT
ccsj-78	117	1	in	in	ADP
ccsj-78	117	2	addition	addition	NOUN
ccsj-78	117	3	,	,	PUNCT
ccsj-78	117	4	for	for	ADP
ccsj-78	117	5	the	the	DET
ccsj-78	117	6	feature	feature	NOUN
ccsj-78	117	7	at	at	ADP
ccsj-78	117	8	point	point	NOUN
ccsj-78	117	9	1	1	NUM
ccsj-78	117	10	,	,	PUNCT
ccsj-78	117	11	the	the	DET
ccsj-78	117	12	log	log	NOUN
ccsj-78	117	13	-	-	PUNCT
ccsj-78	117	14	likelihood	likelihood	NOUN
ccsj-78	117	15	statistic	statistic	NOUN
ccsj-78	117	16	used	use	VERB
ccsj-78	117	17	in	in	ADP
ccsj-78	117	18	[	[	X
ccsj-78	117	19	3	3	X
ccsj-78	117	20	]	]	PUNCT
ccsj-78	117	21	has	have	AUX
ccsj-78	117	22	been	be	AUX
ccsj-78	117	23	considered	consider	VERB
ccsj-78	117	24	:	:	PUNCT
ccsj-78	117	25	where	where	SCONJ
ccsj-78	117	26	denotes	denote	VERB
ccsj-78	117	27	a	a	DET
ccsj-78	117	28	bin	bin	NOUN
ccsj-78	117	29	of	of	ADP
ccsj-78	117	30	the	the	DET
ccsj-78	117	31	-th	-th	ADJ
ccsj-78	117	32	histograms	histogram	NOUN
ccsj-78	117	33	and	and	CCONJ
ccsj-78	117	34	.	.	PUNCT
ccsj-78	118	1	the	the	DET
ccsj-78	118	2	color	color	NOUN
ccsj-78	118	3	histograms	histogram	NOUN
ccsj-78	118	4	at	at	ADP
ccsj-78	118	5	point	point	NOUN
ccsj-78	118	6	4	4	NUM
ccsj-78	118	7	have	have	AUX
ccsj-78	118	8	been	be	AUX
ccsj-78	118	9	matched	match	VERB
ccsj-78	118	10	by	by	ADP
ccsj-78	118	11	using	use	VERB
ccsj-78	118	12	the	the	DET
ccsj-78	118	13	earth	earth	NOUN
ccsj-78	118	14	mover	mover	NOUN
ccsj-78	118	15	distance	distance	NOUN
ccsj-78	118	16	as	as	SCONJ
ccsj-78	118	17	proposed	propose	VERB
ccsj-78	118	18	in	in	ADP
ccsj-78	118	19	[	[	X
ccsj-78	118	20	15	15	NUM
ccsj-78	118	21	]	]	PUNCT
ccsj-78	118	22	,	,	PUNCT
ccsj-78	118	23	in	in	ADP
ccsj-78	118	24	order	order	NOUN
ccsj-78	118	25	to	to	PART
ccsj-78	118	26	ensure	ensure	VERB
ccsj-78	118	27	invariance	invariance	NOUN
ccsj-78	118	28	against	against	ADP
ccsj-78	118	29	illuminant	illuminant	ADJ
ccsj-78	118	30	changes	change	NOUN
ccsj-78	118	31	.	.	PUNCT
ccsj-78	119	1	fig	fig	NOUN
ccsj-78	119	2	.	.	PUNCT
ccsj-78	120	1	5	5	NUM
ccsj-78	120	2	shows	show	VERB
ccsj-78	120	3	an	an	DET
ccsj-78	120	4	image	image	NOUN
ccsj-78	120	5	,	,	PUNCT
ccsj-78	120	6	its	its	PRON
ccsj-78	120	7	gray	gray	ADJ
ccsj-78	120	8	-	-	PUNCT
ccsj-78	120	9	world	world	NOUN
ccsj-78	120	10	normalization	normalization	NOUN
ccsj-78	120	11	and	and	CCONJ
ccsj-78	120	12	its	its	PRON
ccsj-78	120	13	1d	1d	NUM
ccsj-78	120	14	chromaticity	chromaticity	NOUN
ccsj-78	120	15	image	image	NOUN
ccsj-78	120	16	,	,	PUNCT
ccsj-78	120	17	along	along	ADP
ccsj-78	120	18	with	with	ADP
ccsj-78	120	19	the	the	DET
ccsj-78	120	20	descriptors	descriptor	NOUN
ccsj-78	120	21	at	at	ADP
ccsj-78	120	22	points	point	NOUN
ccsj-78	120	23	1	1	NUM
ccsj-78	120	24	,	,	PUNCT
ccsj-78	120	25	2	2	NUM
ccsj-78	120	26	,	,	PUNCT
ccsj-78	120	27	3	3	NUM
ccsj-78	120	28	,	,	PUNCT
ccsj-78	120	29	4	4	NUM
ccsj-78	120	30	.	.	PUNCT
ccsj-78	121	1	the	the	DET
ccsj-78	121	2	corresponding	corresponding	ADJ
ccsj-78	121	3	joint	joint	ADJ
ccsj-78	121	4	probability	probability	NOUN
ccsj-78	121	5	maps	map	NOUN
ccsj-78	121	6	of	of	ADP
ccsj-78	121	7	color	color	NOUN
ccsj-78	121	8	and	and	CCONJ
ccsj-78	121	9	textures	texture	NOUN
ccsj-78	121	10	used	use	VERB
ccsj-78	121	11	by	by	ADP
ccsj-78	121	12	gwand	gwand	PROPN
ccsj-78	121	13	vk	vk	PROPN
ccsj-78	121	14	-	-	PUNCT
ccsj-78	121	15	algorithm	algorithm	NOUN
ccsj-78	121	16	are	be	AUX
ccsj-78	121	17	shown	show	VERB
ccsj-78	121	18	in	in	ADP
ccsj-78	121	19	fig	fig	NOUN
ccsj-78	121	20	.	.	PUNCT
ccsj-78	122	1	6	6	NUM
ccsj-78	122	2	.	.	X
ccsj-78	122	3	tab	tab	NOUN
ccsj-78	122	4	.	.	PUNCT
ccsj-78	122	5	1	1	NUM
ccsj-78	122	6	summarizes	summarize	NOUN
ccsj-78	122	7	the	the	DET
ccsj-78	122	8	descriptors	descriptor	NOUN
ccsj-78	122	9	used	use	VERB
ccsj-78	122	10	in	in	ADP
ccsj-78	122	11	the	the	DET
ccsj-78	122	12	experiments	experiment	NOUN
ccsj-78	122	13	along	along	ADP
ccsj-78	122	14	with	with	ADP
ccsj-78	122	15	their	their	PRON
ccsj-78	122	16	acronyms	acronym	NOUN
ccsj-78	122	17	.	.	PUNCT
ccsj-78	123	1	tab	tab	NOUN
ccsj-78	123	2	.	.	PUNCT
ccsj-78	123	3	2	2	NUM
ccsj-78	123	4	reports	report	NOUN
ccsj-78	123	5	the	the	DET
ccsj-78	123	6	mean	mean	ADJ
ccsj-78	123	7	values	value	NOUN
ccsj-78	123	8	of	of	ADP
ccsj-78	123	9	amp	amp	PROPN
ccsj-78	123	10	and	and	CCONJ
ccsj-78	123	11	rr	rr	PROPN
ccsj-78	123	12	averaged	average	VERB
ccsj-78	123	13	over	over	ADP
ccsj-78	123	14	the	the	DET
ccsj-78	123	15	number	number	NOUN
ccsj-78	123	16	of	of	ADP
ccsj-78	123	17	database	database	NOUN
ccsj-78	123	18	images	image	NOUN
ccsj-78	123	19	and	and	CCONJ
ccsj-78	123	20	of	of	ADP
ccsj-78	123	21	the	the	DET
ccsj-78	123	22	pairs	pair	NOUN
ccsj-78	123	23	.	.	PUNCT
ccsj-78	124	1	tab	tab	NOUN
ccsj-78	124	2	.	.	PUNCT
ccsj-78	125	1	2	2	NUM
ccsj-78	125	2	also	also	ADV
ccsj-78	125	3	shows	show	VERB
ccsj-78	125	4	the	the	DET
ccsj-78	125	5	rounded	rounded	ADJ
ccsj-78	125	6	up	up	ADP
ccsj-78	125	7	mean	mean	NOUN
ccsj-78	125	8	value	value	NOUN
ccsj-78	125	9	of	of	ADP
ccsj-78	125	10	the	the	DET
ccsj-78	125	11	rank	rank	NOUN
ccsj-78	125	12	.	.	PUNCT
ccsj-78	126	1	the	the	DET
ccsj-78	126	2	value	value	NOUN
ccsj-78	126	3	of	of	ADP
ccsj-78	126	4	controls	control	NOUN
ccsj-78	126	5	the	the	DET
ccsj-78	126	6	size	size	NOUN
ccsj-78	126	7	of	of	ADP
ccsj-78	126	8	the	the	DET
ccsj-78	126	9	neighbor	neighbor	NOUN
ccsj-78	126	10	of	of	ADP
ccsj-78	126	11	each	each	DET
ccsj-78	126	12	pixel	pixel	NOUN
ccsj-78	126	13	and	and	CCONJ
ccsj-78	126	14	thus	thus	ADV
ccsj-78	126	15	the	the	DET
ccsj-78	126	16	scale	scale	NOUN
ccsj-78	126	17	at	at	ADP
ccsj-78	126	18	which	which	PRON
ccsj-78	126	19	the	the	DET
ccsj-78	126	20	texture	texture	NOUN
ccsj-78	126	21	is	be	AUX
ccsj-78	126	22	described	describe	VERB
ccsj-78	126	23	.	.	PUNCT
ccsj-78	127	1	neighbors	neighbor	NOUN
ccsj-78	127	2	of	of	ADP
ccsj-78	127	3	different	different	ADJ
ccsj-78	127	4	size	size	NOUN
ccsj-78	127	5	capture	capture	VERB
ccsj-78	127	6	different	different	ADJ
ccsj-78	127	7	visual	visual	ADJ
ccsj-78	127	8	cues	cue	NOUN
ccsj-78	127	9	of	of	ADP
ccsj-78	127	10	the	the	DET
ccsj-78	127	11	texture	texture	NOUN
ccsj-78	127	12	,	,	PUNCT
ccsj-78	127	13	and	and	CCONJ
ccsj-78	127	14	some	some	PRON
ccsj-78	127	15	of	of	ADP
ccsj-78	127	16	them	they	PRON
ccsj-78	127	17	may	may	AUX
ccsj-78	127	18	even	even	ADV
ccsj-78	127	19	provide	provide	VERB
ccsj-78	127	20	poor	poor	ADJ
ccsj-78	127	21	or	or	CCONJ
ccsj-78	127	22	noised	noised	ADJ
ccsj-78	127	23	information	information	NOUN
ccsj-78	127	24	.	.	PUNCT
ccsj-78	128	1	the	the	DET
ccsj-78	128	2	value	value	NOUN
ccsj-78	128	3	of	of	ADP
ccsj-78	128	4	is	be	AUX
ccsj-78	128	5	related	relate	VERB
ccsj-78	128	6	to	to	ADP
ccsj-78	128	7	the	the	DET
ccsj-78	128	8	robustness	robustness	NOUN
ccsj-78	128	9	of	of	ADP
ccsj-78	128	10	the	the	DET
ccsj-78	128	11	descriptors	descriptor	NOUN
ccsj-78	128	12	against	against	ADP
ccsj-78	128	13	in	in	ADP
ccsj-78	128	14	plane	plane	NOUN
ccsj-78	128	15	-	-	PUNCT
ccsj-78	128	16	rotation	rotation	NOUN
ccsj-78	128	17	.	.	PUNCT
ccsj-78	129	1	the	the	DET
ccsj-78	129	2	choice	choice	NOUN
ccsj-78	129	3	of	of	ADP
ccsj-78	129	4	the	the	DET
ccsj-78	129	5	pair	pair	NOUN
ccsj-78	129	6	providing	provide	VERB
ccsj-78	129	7	the	the	DET
ccsj-78	129	8	best	good	ADJ
ccsj-78	129	9	description	description	NOUN
ccsj-78	129	10	in	in	ADP
ccsj-78	129	11	terms	term	NOUN
ccsj-78	129	12	of	of	ADP
ccsj-78	129	13	retrieval	retrieval	NOUN
ccsj-78	129	14	performance	performance	NOUN
ccsj-78	129	15	is	be	AUX
ccsj-78	129	16	not	not	PART
ccsj-78	129	17	addressed	address	VERB
ccsj-78	129	18	here	here	ADV
ccsj-78	129	19	,	,	PUNCT
ccsj-78	129	20	but	but	CCONJ
ccsj-78	129	21	the	the	DET
ccsj-78	129	22	experiments	experiment	NOUN
ccsj-78	129	23	have	have	AUX
ccsj-78	129	24	been	be	AUX
ccsj-78	129	25	carried	carry	VERB
ccsj-78	129	26	out	out	ADP
ccsj-78	129	27	by	by	ADP
ccsj-78	129	28	considering	consider	VERB
ccsj-78	129	29	two	two	NUM
ccsj-78	129	30	different	different	ADJ
ccsj-78	129	31	values	value	NOUN
ccsj-78	129	32	of	of	ADP
ccsj-78	129	33	:	:	PUNCT
ccsj-78	129	34	(	(	PUNCT
ccsj-78	129	35	1	1	NUM
ccsj-78	129	36	,	,	PUNCT
ccsj-78	129	37	8)	8)	NUM
ccsj-78	129	38	and	and	CCONJ
ccsj-78	129	39	(	(	PUNCT
ccsj-78	129	40	2	2	NUM
ccsj-78	129	41	,	,	PUNCT
ccsj-78	129	42	16	16	NUM
ccsj-78	129	43	)	)	PUNCT
ccsj-78	129	44	.	.	PUNCT
ccsj-78	130	1	all	all	DET
ccsj-78	130	2	the	the	DET
ccsj-78	130	3	retrieval	retrieval	ADJ
ccsj-78	130	4	algorithms	algorithm	NOUN
ccsj-78	130	5	achieve	achieve	VERB
ccsj-78	130	6	the	the	DET
ccsj-78	130	7	best	good	ADJ
ccsj-78	130	8	performance	performance	NOUN
ccsj-78	130	9	for	for	ADP
ccsj-78	130	10	=	=	SYM
ccsj-78	130	11	(	(	PUNCT
ccsj-78	130	12	2	2	NUM
ccsj-78	130	13	,	,	PUNCT
ccsj-78	130	14	16	16	NUM
ccsj-78	130	15	)	)	PUNCT
ccsj-78	130	16	,	,	PUNCT
ccsj-78	130	17	and	and	CCONJ
ccsj-78	130	18	with	with	ADP
ccsj-78	130	19	the	the	DET
ccsj-78	130	20	descriptors	descriptor	NOUN
ccsj-78	130	21	weighted	weight	VERB
ccsj-78	130	22	by	by	ADP
ccsj-78	130	23	the	the	DET
ccsj-78	130	24	euclidean	euclidean	ADJ
ccsj-78	130	25	distance	distance	NOUN
ccsj-78	130	26	from	from	ADP
ccsj-78	130	27	the	the	DET
ccsj-78	130	28	image	image	NOUN
ccsj-78	130	29	barycenter	barycenter	NOUN
ccsj-78	130	30	.	.	PUNCT
ccsj-78	131	1	apart	apart	ADV
ccsj-78	131	2	from	from	ADP
ccsj-78	131	3	the	the	DET
ccsj-78	131	4	case	case	NOUN
ccsj-78	131	5	of	of	ADP
ccsj-78	131	6	the	the	DET
ccsj-78	131	7	lbprius	lbprius	PROPN
ccsj-78	131	8	histograms	histogram	NOUN
ccsj-78	131	9	of	of	ADP
ccsj-78	131	10	the	the	DET
ccsj-78	131	11	rgb	rgb	PROPN
ccsj-78	131	12	color	color	NOUN
ccsj-78	131	13	channels	channel	NOUN
ccsj-78	131	14	(	(	PUNCT
ccsj-78	131	15	point	point	NOUN
ccsj-78	131	16	1	1	NUM
ccsj-78	131	17	in	in	ADP
ccsj-78	131	18	section	section	NOUN
ccsj-78	131	19	4	4	NUM
ccsj-78	131	20	)	)	PUNCT
ccsj-78	131	21	,	,	PUNCT
ccsj-78	131	22	the	the	DET
ccsj-78	131	23	retrieval	retrieval	NOUN
ccsj-78	131	24	performance	performance	NOUN
ccsj-78	131	25	does	do	AUX
ccsj-78	131	26	not	not	PART
ccsj-78	131	27	change	change	VERB
ccsj-78	131	28	by	by	ADP
ccsj-78	131	29	using	use	VERB
ccsj-78	131	30	the	the	DET
ccsj-78	131	31	distances	distance	NOUN
ccsj-78	131	32	or	or	CCONJ
ccsj-78	131	33	as	as	ADP
ccsj-78	131	34	similarity	similarity	NOUN
ccsj-78	131	35	measure	measure	NOUN
ccsj-78	131	36	.	.	PUNCT
ccsj-78	132	1	therefore	therefore	ADV
ccsj-78	132	2	,	,	PUNCT
ccsj-78	132	3	for	for	ADP
ccsj-78	132	4	the	the	DET
ccsj-78	132	5	other	other	ADJ
ccsj-78	132	6	features	feature	NOUN
ccsj-78	132	7	,	,	PUNCT
ccsj-78	132	8	the	the	DET
ccsj-78	132	9	results	result	NOUN
ccsj-78	132	10	obtained	obtain	VERB
ccsj-78	132	11	with	with	ADP
ccsj-78	132	12	as	as	ADP
ccsj-78	132	13	retrieval	retrieval	NOUN
ccsj-78	132	14	distance	distance	NOUN
ccsj-78	132	15	are	be	AUX
ccsj-78	132	16	omitted	omit	VERB
ccsj-78	132	17	in	in	ADP
ccsj-78	132	18	tab	tab	NOUN
ccsj-78	132	19	.	.	PUNCT
ccsj-78	133	1	2	2	X
ccsj-78	133	2	.	.	X
ccsj-78	133	3	the	the	DET
ccsj-78	133	4	worst	bad	ADJ
ccsj-78	133	5	results	result	NOUN
ccsj-78	133	6	are	be	AUX
ccsj-78	133	7	obtained	obtain	VERB
ccsj-78	133	8	by	by	ADP
ccsj-78	133	9	using	use	VERB
ccsj-78	133	10	the	the	DET
ccsj-78	133	11	lbprius	lbprius	PROPN
ccsj-78	133	12	histograms	histogram	NOUN
ccsj-78	133	13	with	with	ADP
ccsj-78	133	14	,	,	PUNCT
ccsj-78	133	15	and	and	CCONJ
ccsj-78	133	16	the	the	DET
ccsj-78	133	17	log	log	NOUN
ccsj-78	133	18	-	-	PUNCT
ccsj-78	133	19	likelihood	likelihood	NOUN
ccsj-78	133	20	statistic	statistic	NOUN
ccsj-78	133	21	as	as	ADP
ccsj-78	133	22	retrieval	retrieval	NOUN
ccsj-78	133	23	distance	distance	NOUN
ccsj-78	133	24	(	(	PUNCT
ccsj-78	133	25	amp	amp	NOUN
ccsj-78	133	26	=	=	SYM
ccsj-78	133	27	0.8997	0.8997	NUM
ccsj-78	133	28	and	and	CCONJ
ccsj-78	133	29	rr	rr	NOUN
ccsj-78	133	30	=	=	PROPN
ccsj-78	133	31	10.61	10.61	NUM
ccsj-78	133	32	%	%	NOUN
ccsj-78	133	33	)	)	PUNCT
ccsj-78	133	34	.	.	PUNCT
ccsj-78	134	1	the	the	DET
ccsj-78	134	2	performance	performance	NOUN
ccsj-78	134	3	significantly	significantly	ADV
ccsj-78	134	4	increases	increase	VERB
ccsj-78	134	5	for	for	ADP
ccsj-78	134	6	and	and	CCONJ
ccsj-78	134	7	.	.	PUNCT
ccsj-78	135	1	also	also	ADV
ccsj-78	135	2	the	the	DET
ccsj-78	135	3	use	use	NOUN
ccsj-78	135	4	of	of	ADP
ccsj-78	135	5	the	the	DET
ccsj-78	135	6	lbprius	lbprius	PROPN
ccsj-78	135	7	histograms	histogram	NOUN
ccsj-78	135	8	of	of	ADP
ccsj-78	135	9	the	the	DET
ccsj-78	135	10	1d	1d	NUM
ccsj-78	135	11	chromaticity	chromaticity	NOUN
ccsj-78	135	12	image	image	NOUN
ccsj-78	135	13	does	do	AUX
ccsj-78	135	14	not	not	PART
ccsj-78	135	15	provide	provide	VERB
ccsj-78	135	16	good	good	ADJ
ccsj-78	135	17	results	result	NOUN
ccsj-78	135	18	,	,	PUNCT
ccsj-78	135	19	because	because	SCONJ
ccsj-78	135	20	the	the	DET
ccsj-78	135	21	color	color	NOUN
ccsj-78	135	22	information	information	NOUN
ccsj-78	135	23	encoded	encode	VERB
ccsj-78	135	24	in	in	ADP
ccsj-78	135	25	is	be	AUX
ccsj-78	135	26	too	too	ADV
ccsj-78	135	27	coarse	coarse	ADJ
ccsj-78	135	28	.	.	PUNCT
ccsj-78	136	1	the	the	DET
ccsj-78	136	2	gwand	gwand	PROPN
ccsj-78	136	3	vkalgorithms	vkalgorithm	NOUN
ccsj-78	136	4	provide	provide	VERB
ccsj-78	136	5	the	the	DET
ccsj-78	136	6	best	good	ADJ
ccsj-78	136	7	performance	performance	NOUN
ccsj-78	136	8	.	.	PUNCT
ccsj-78	137	1	in	in	ADP
ccsj-78	137	2	particular	particular	ADJ
ccsj-78	137	3	,	,	PUNCT
ccsj-78	137	4	the	the	DET
ccsj-78	137	5	best	good	ADJ
ccsj-78	137	6	results	result	NOUN
ccsj-78	137	7	are	be	AUX
ccsj-78	137	8	obtained	obtain	VERB
ccsj-78	137	9	by	by	ADP
ccsj-78	137	10	gw	gw	PROPN
ccsj-78	137	11	-	-	PUNCT
ccsj-78	137	12	algorithm	algorithm	NOUN
ccsj-78	137	13	with	with	ADP
ccsj-78	137	14	the	the	DET
ccsj-78	137	15	weighted	weight	VERB
ccsj-78	137	16	color	color	NOUN
ccsj-78	137	17	and	and	CCONJ
ccsj-78	137	18	texture	texture	ADJ
ccsj-78	137	19	probability	probability	NOUN
ccsj-78	137	20	.	.	PUNCT
ccsj-78	138	1	in	in	ADP
ccsj-78	138	2	this	this	DET
ccsj-78	138	3	case	case	NOUN
ccsj-78	138	4	,	,	PUNCT
ccsj-78	138	5	amp	amp	PROPN
ccsj-78	138	6	=	=	SYM
ccsj-78	138	7	0.9878	0.9878	NUM
ccsj-78	138	8	and	and	CCONJ
ccsj-78	138	9	on	on	ADP
ccsj-78	138	10	average	average	ADJ
ccsj-78	138	11	the	the	DET
ccsj-78	138	12	correct	correct	ADJ
ccsj-78	138	13	image	image	NOUN
ccsj-78	138	14	is	be	AUX
ccsj-78	138	15	at	at	ADP
ccsj-78	138	16	the	the	DET
ccsj-78	138	17	18th	18th	ADJ
ccsj-78	138	18	place	place	NOUN
ccsj-78	138	19	of	of	ADP
ccsj-78	138	20	the	the	DET
ccsj-78	138	21	ranked	rank	VERB
ccsj-78	138	22	list	list	NOUN
ccsj-78	138	23	of	of	ADP
ccsj-78	138	24	references	reference	NOUN
ccsj-78	138	25	.	.	PUNCT
ccsj-78	139	1	by	by	ADP
ccsj-78	139	2	discarding	discard	VERB
ccsj-78	139	3	the	the	DET
ccsj-78	139	4	euclidean	euclidean	ADJ
ccsj-78	139	5	weights	weight	NOUN
ccsj-78	139	6	,	,	PUNCT
ccsj-78	139	7	rr	rr	PROPN
ccsj-78	139	8	(	(	PUNCT
ccsj-78	139	9	amp	amp	PROPN
ccsj-78	139	10	,	,	PUNCT
ccsj-78	139	11	resp	resp	NOUN
ccsj-78	139	12	.	.	PUNCT
ccsj-78	139	13	)	)	PUNCT
ccsj-78	139	14	is	be	AUX
ccsj-78	139	15	slightly	slightly	ADV
ccsj-78	139	16	higher	high	ADJ
ccsj-78	139	17	(	(	PUNCT
ccsj-78	139	18	lower	low	ADJ
ccsj-78	139	19	)	)	PUNCT
ccsj-78	139	20	,	,	PUNCT
ccsj-78	139	21	than	than	ADP
ccsj-78	139	22	the	the	DET
ccsj-78	139	23	rr	rr	PROPN
ccsj-78	139	24	(	(	PUNCT
ccsj-78	139	25	amp	amp	PROPN
ccsj-78	139	26	,	,	PUNCT
ccsj-78	139	27	resp	resp	NOUN
ccsj-78	139	28	.	.	PUNCT
ccsj-78	139	29	)	)	PUNCT
ccsj-78	140	1	achieved	achieve	VERB
ccsj-78	140	2	in	in	ADP
ccsj-78	140	3	the	the	DET
ccsj-78	140	4	best	good	ADJ
ccsj-78	140	5	case	case	NOUN
ccsj-78	140	6	.	.	PUNCT
ccsj-78	141	1	however	however	ADV
ccsj-78	141	2	,	,	PUNCT
ccsj-78	141	3	these	these	DET
ccsj-78	141	4	differences	difference	NOUN
ccsj-78	141	5	are	be	AUX
ccsj-78	141	6	negligible	negligible	ADJ
ccsj-78	141	7	.	.	PUNCT
ccsj-78	142	1	the	the	DET
ccsj-78	142	2	vk	vk	NOUN
ccsj-78	142	3	-	-	PUNCT
ccsj-78	142	4	algorithm	algorithm	NOUN
ccsj-78	142	5	outputs	output	NOUN
ccsj-78	142	6	similar	similar	ADJ
ccsj-78	142	7	values	value	NOUN
ccsj-78	142	8	of	of	ADP
ccsj-78	142	9	amp	amp	NOUN
ccsj-78	142	10	and	and	CCONJ
ccsj-78	142	11	,	,	PUNCT
ccsj-78	142	12	while	while	SCONJ
ccsj-78	142	13	rr	rr	NOUN
ccsj-78	142	14	is	be	AUX
ccsj-78	142	15	remarkably	remarkably	ADV
ccsj-78	142	16	higher	high	ADJ
ccsj-78	142	17	than	than	ADP
ccsj-78	142	18	that	that	PRON
ccsj-78	142	19	obtained	obtain	VERB
ccsj-78	142	20	by	by	ADP
ccsj-78	142	21	the	the	DET
ccsj-78	142	22	gw	gw	NOUN
ccsj-78	142	23	-	-	PUNCT
ccsj-78	142	24	algorithm	algorithm	NOUN
ccsj-78	142	25	:	:	PUNCT
ccsj-78	142	26	the	the	DET
ccsj-78	142	27	47	47	NUM
ccsj-78	142	28	%	%	NOUN
ccsj-78	142	29	against	against	ADP
ccsj-78	142	30	the	the	DET
ccsj-78	142	31	37	37	NUM
ccsj-78	142	32	%	%	NOUN
ccsj-78	142	33	.	.	PUNCT
ccsj-78	143	1	this	this	PRON
ccsj-78	143	2	means	mean	VERB
ccsj-78	143	3	that	that	SCONJ
ccsj-78	143	4	the	the	DET
ccsj-78	143	5	number	number	NOUN
ccsj-78	143	6	of	of	ADP
ccsj-78	143	7	images	image	NOUN
ccsj-78	143	8	correctly	correctly	ADV
ccsj-78	143	9	classified	classify	VERB
ccsj-78	143	10	(	(	PUNCT
ccsj-78	143	11	i.e.	i.e.	X
ccsj-78	143	12	=	=	SYM
ccsj-78	143	13	1	1	X
ccsj-78	143	14	)	)	PUNCT
ccsj-78	143	15	is	be	AUX
ccsj-78	143	16	higher	high	ADJ
ccsj-78	143	17	for	for	ADP
ccsj-78	143	18	vk	vk	NOUN
ccsj-78	143	19	-	-	PUNCT
ccsj-78	143	20	algorithm	algorithm	NOUN
ccsj-78	143	21	than	than	ADP
ccsj-78	143	22	for	for	ADP
ccsj-78	143	23	the	the	DET
ccsj-78	143	24	gw	gw	NOUN
ccsj-78	143	25	-	-	PUNCT
ccsj-78	143	26	algorithm	algorithm	NOUN
ccsj-78	143	27	,	,	PUNCT
ccsj-78	143	28	but	but	CCONJ
ccsj-78	143	29	the	the	DET
ccsj-78	143	30	rank	rank	NOUN
ccsj-78	143	31	of	of	ADP
ccsj-78	143	32	the	the	DET
ccsj-78	143	33	images	image	NOUN
ccsj-78	143	34	not	not	PART
ccsj-78	143	35	correctly	correctly	ADV
ccsj-78	143	36	classified	classified	ADJ
ccsj-78	143	37	is	be	AUX
ccsj-78	143	38	lower	low	ADJ
ccsj-78	143	39	for	for	ADP
ccsj-78	143	40	vk	vk	NOUN
ccsj-78	143	41	-	-	PUNCT
ccsj-78	143	42	algorithm	algorithm	NOUN
ccsj-78	143	43	than	than	ADP
ccsj-78	143	44	for	for	ADP
ccsj-78	143	45	gw	gw	NOUN
ccsj-78	143	46	-	-	PUNCT
ccsj-78	143	47	algorithm	algorithm	NOUN
ccsj-78	143	48	.	.	PUNCT
ccsj-78	144	1	therefore	therefore	ADV
ccsj-78	144	2	,	,	PUNCT
ccsj-78	144	3	on	on	ADP
ccsj-78	144	4	average	average	ADJ
ccsj-78	144	5	,	,	PUNCT
ccsj-78	144	6	the	the	DET
ccsj-78	144	7	amp	amp	NOUN
ccsj-78	144	8	is	be	AUX
ccsj-78	144	9	more	more	ADV
ccsj-78	144	10	or	or	CCONJ
ccsj-78	144	11	less	less	ADV
ccsj-78	144	12	the	the	DET
ccsj-78	144	13	same	same	ADJ
ccsj-78	144	14	for	for	ADP
ccsj-78	144	15	both	both	CCONJ
ccsj-78	144	16	the	the	DET
ccsj-78	144	17	algorithms	algorithm	NOUN
ccsj-78	144	18	.	.	PUNCT
ccsj-78	145	1	5	5	X
ccsj-78	145	2	.	.	PUNCT
ccsj-78	145	3	conclusions	conclusion	NOUN
ccsj-78	145	4	according	accord	VERB
ccsj-78	145	5	to	to	ADP
ccsj-78	145	6	previous	previous	ADJ
ccsj-78	145	7	studies	study	NOUN
ccsj-78	145	8	,	,	PUNCT
ccsj-78	145	9	this	this	DET
ccsj-78	145	10	work	work	NOUN
ccsj-78	145	11	has	have	AUX
ccsj-78	145	12	shown	show	VERB
ccsj-78	145	13	empirically	empirically	ADV
ccsj-78	145	14	that	that	SCONJ
ccsj-78	145	15	the	the	DET
ccsj-78	145	16	joint	joint	ADJ
ccsj-78	145	17	use	use	NOUN
ccsj-78	145	18	of	of	ADP
ccsj-78	145	19	color	color	NOUN
ccsj-78	145	20	and	and	CCONJ
ccsj-78	145	21	texture	texture	NOUN
ccsj-78	145	22	improves	improve	VERB
ccsj-78	145	23	the	the	DET
ccsj-78	145	24	performance	performance	NOUN
ccsj-78	145	25	of	of	ADP
ccsj-78	145	26	retrieval	retrieval	NOUN
ccsj-78	145	27	algorithms	algorithm	NOUN
ccsj-78	145	28	employing	employ	VERB
ccsj-78	145	29	color	color	NOUN
ccsj-78	145	30	or	or	CCONJ
ccsj-78	145	31	texture	texture	NOUN
ccsj-78	145	32	only	only	ADV
ccsj-78	145	33	.	.	PUNCT
ccsj-78	146	1	the	the	DET
ccsj-78	146	2	retrieval	retrieval	NOUN
ccsj-78	146	3	algorithms	algorithm	NOUN
ccsj-78	146	4	presented	present	VERB
ccsj-78	146	5	here	here	ADV
ccsj-78	146	6	ensure	ensure	VERB
ccsj-78	146	7	invariance	invariance	NOUN
ccsj-78	146	8	against	against	ADP
ccsj-78	146	9	variations	variation	NOUN
ccsj-78	146	10	of	of	ADP
ccsj-78	146	11	illuminant	illuminant	NOUN
ccsj-78	146	12	and	and	CCONJ
ccsj-78	146	13	in	in	ADP
ccsj-78	146	14	-	-	PUNCT
ccsj-78	146	15	plane	plane	NOUN
ccsj-78	146	16	rotation	rotation	NOUN
ccsj-78	146	17	of	of	ADP
ccsj-78	146	18	the	the	DET
ccsj-78	146	19	image	image	NOUN
ccsj-78	146	20	.	.	PUNCT
ccsj-78	147	1	future	future	ADJ
ccsj-78	147	2	work	work	NOUN
ccsj-78	147	3	will	will	AUX
ccsj-78	147	4	include	include	VERB
ccsj-78	147	5	a	a	DET
ccsj-78	147	6	multi	multi	ADJ
ccsj-78	147	7	-	-	ADJ
ccsj-78	147	8	scale	scale	ADJ
ccsj-78	147	9	image	image	NOUN
ccsj-78	147	10	analysis	analysis	NOUN
ccsj-78	147	11	in	in	ADP
ccsj-78	147	12	order	order	NOUN
ccsj-78	147	13	to	to	PART
ccsj-78	147	14	achieve	achieve	VERB
ccsj-78	147	15	robustness	robustness	NOUN
ccsj-78	147	16	against	against	ADP
ccsj-78	147	17	size	size	NOUN
ccsj-78	147	18	changes	change	NOUN
ccsj-78	147	19	,	,	PUNCT
ccsj-78	147	20	and	and	CCONJ
ccsj-78	147	21	the	the	DET
ccsj-78	147	22	usage	usage	NOUN
ccsj-78	147	23	of	of	ADP
ccsj-78	147	24	the	the	DET
ccsj-78	147	25	proposed	propose	VERB
ccsj-78	147	26	algorithms	algorithm	NOUN
ccsj-78	147	27	for	for	ADP
ccsj-78	147	28	object	object	NOUN
ccsj-78	147	29	detection	detection	NOUN
ccsj-78	147	30	and	and	CCONJ
ccsj-78	147	31	semantic	semantic	ADJ
ccsj-78	147	32	image	image	NOUN
ccsj-78	147	33	labeling	labeling	NOUN
ccsj-78	147	34	.	.	PUNCT
ccsj-78	148	1	figure	figure	VERB
ccsj-78	148	2	4	4	NUM
ccsj-78	148	3	some	some	DET
ccsj-78	148	4	examples	example	NOUN
ccsj-78	148	5	of	of	ADP
ccsj-78	148	6	colored	colored	ADJ
ccsj-78	148	7	textures	texture	NOUN
ccsj-78	148	8	from	from	ADP
ccsj-78	148	9	outex	outex	NOUN
ccsj-78	148	10	)	)	PUNCT
ccsj-78	148	11	.	.	PUNCT
ccsj-78	149	1	35	35	NUM
ccsj-78	149	2	cultura	cultura	NOUN
ccsj-78	149	3	e	e	PROPN
ccsj-78	149	4	scienza	scienza	PROPN
ccsj-78	149	5	del	del	PROPN
ccsj-78	149	6	colore	colore	PROPN
ccsj-78	149	7	color	color	NOUN
ccsj-78	149	8	culture	culture	NOUN
ccsj-78	149	9	and	and	CCONJ
ccsj-78	149	10	science	science	NOUN
ccsj-78	149	11	|	|	ADV
ccsj-78	149	12	07	07	NUM
ccsj-78	150	1	|	|	NOUN
ccsj-78	150	2	2017	2017	NUM
ccsj-78	150	3	|	|	ADV
ccsj-78	150	4	29	29	NUM
ccsj-78	150	5	38	38	NUM
ccsj-78	150	6	using	use	VERB
ccsj-78	150	7	color	color	NOUN
ccsj-78	150	8	and	and	CCONJ
ccsj-78	150	9	local	local	ADJ
ccsj-78	150	10	binary	binary	ADJ
ccsj-78	150	11	patterns	pattern	NOUN
ccsj-78	150	12	for	for	ADP
ccsj-78	150	13	texture	texture	ADJ
ccsj-78	150	14	retrieval	retrieval	NOUN
ccsj-78	150	15	issn	issn	PROPN
ccsj-78	150	16	2384	2384	NUM
ccsj-78	150	17	-	-	SYM
ccsj-78	150	18	9568	9568	NUM
ccsj-78	150	19	acronym	acronym	NOUN
ccsj-78	150	20	descriptor	descriptor	NOUN
ccsj-78	150	21	lbp	lbp	NOUN
ccsj-78	150	22	(	(	PUNCT
ccsj-78	150	23	r	r	NOUN
ccsj-78	150	24	,	,	PUNCT
ccsj-78	150	25	p	p	NOUN
ccsj-78	150	26	)	)	PUNCT
ccsj-78	150	27	histograms	histogram	NOUN
ccsj-78	150	28	of	of	ADP
ccsj-78	150	29	the	the	DET
ccsj-78	150	30	lbprius	lbprius	NOUN
ccsj-78	150	31	with	with	ADP
ccsj-78	150	32	radius	radius	NOUN
ccsj-78	150	33	r	r	NOUN
ccsj-78	150	34	and	and	CCONJ
ccsj-78	150	35	p	p	NOUN
ccsj-78	150	36	sampling	sampling	NOUN
ccsj-78	150	37	points	point	NOUN
ccsj-78	150	38	computed	compute	VERB
ccsj-78	150	39	over	over	ADP
ccsj-78	150	40	the	the	DET
ccsj-78	150	41	three	three	NUM
ccsj-78	150	42	color	color	NOUN
ccsj-78	150	43	channels	channel	NOUN
ccsj-78	150	44	.	.	PUNCT
ccsj-78	151	1	lbp	lbp	NOUN
ccsj-78	151	2	(	(	PUNCT
ccsj-78	151	3	r	r	NOUN
ccsj-78	151	4	,	,	PUNCT
ccsj-78	151	5	p	p	NOUN
ccsj-78	151	6	)	)	PUNCT
ccsj-78	151	7	,	,	PUNCT
ccsj-78	151	8	l2	l2	NOUN
ccsj-78	151	9	histograms	histogram	NOUN
ccsj-78	151	10	of	of	ADP
ccsj-78	151	11	the	the	DET
ccsj-78	151	12	lbprius	lbprius	NOUN
ccsj-78	151	13	with	with	ADP
ccsj-78	151	14	radius	radius	NOUN
ccsj-78	151	15	r	r	NOUN
ccsj-78	151	16	and	and	CCONJ
ccsj-78	151	17	p	p	NOUN
ccsj-78	151	18	sampling	sampling	NOUN
ccsj-78	151	19	points	point	NOUN
ccsj-78	151	20	computed	compute	VERB
ccsj-78	151	21	over	over	ADP
ccsj-78	151	22	the	the	DET
ccsj-78	151	23	three	three	NUM
ccsj-78	151	24	color	color	NOUN
ccsj-78	151	25	channels	channel	NOUN
ccsj-78	151	26	,	,	PUNCT
ccsj-78	151	27	weighted	weight	VERB
ccsj-78	151	28	by	by	ADP
ccsj-78	151	29	the	the	DET
ccsj-78	151	30	euclidean	euclidean	ADJ
ccsj-78	151	31	distance	distance	NOUN
ccsj-78	151	32	.	.	PUNCT
ccsj-78	152	1	lbpc(r	lbpc(r	PROPN
ccsj-78	152	2	,	,	PUNCT
ccsj-78	152	3	p	p	NOUN
ccsj-78	152	4	)	)	PUNCT
ccsj-78	152	5	histograms	histogram	NOUN
ccsj-78	152	6	of	of	ADP
ccsj-78	152	7	the	the	DET
ccsj-78	152	8	lbprius	lbprius	NOUN
ccsj-78	152	9	with	with	ADP
ccsj-78	152	10	radius	radius	NOUN
ccsj-78	152	11	r	r	NOUN
ccsj-78	152	12	and	and	CCONJ
ccsj-78	152	13	p	p	NOUN
ccsj-78	152	14	sampling	sampling	NOUN
ccsj-78	152	15	points	point	NOUN
ccsj-78	152	16	computed	compute	VERB
ccsj-78	152	17	on	on	ADP
ccsj-78	152	18	the	the	DET
ccsj-78	152	19	1d	1d	NUM
ccsj-78	152	20	chromaticity	chromaticity	NOUN
ccsj-78	152	21	image	image	NOUN
ccsj-78	152	22	.	.	PUNCT
ccsj-78	153	1	lbpc(r	lbpc(r	PROPN
ccsj-78	153	2	,	,	PUNCT
ccsj-78	153	3	p	p	NOUN
ccsj-78	153	4	)	)	PUNCT
ccsj-78	153	5	,	,	PUNCT
ccsj-78	153	6	l2	l2	NOUN
ccsj-78	153	7	histograms	histogram	NOUN
ccsj-78	153	8	of	of	ADP
ccsj-78	153	9	the	the	DET
ccsj-78	153	10	lbprius	lbprius	NOUN
ccsj-78	153	11	with	with	ADP
ccsj-78	153	12	radius	radius	NOUN
ccsj-78	153	13	r	r	NOUN
ccsj-78	153	14	and	and	CCONJ
ccsj-78	153	15	p	p	NOUN
ccsj-78	153	16	sampling	sampling	NOUN
ccsj-78	153	17	points	point	NOUN
ccsj-78	153	18	computed	compute	VERB
ccsj-78	153	19	on	on	ADP
ccsj-78	153	20	the	the	DET
ccsj-78	153	21	1d	1d	NUM
ccsj-78	153	22	chromaticity	chromaticity	NOUN
ccsj-78	153	23	image	image	NOUN
ccsj-78	153	24	,	,	PUNCT
ccsj-78	153	25	weighted	weight	VERB
ccsj-78	153	26	by	by	ADP
ccsj-78	153	27	the	the	DET
ccsj-78	153	28	euclidean	euclidean	ADJ
ccsj-78	153	29	distance	distance	NOUN
ccsj-78	153	30	.	.	PUNCT
ccsj-78	154	1	gw	gw	NOUN
ccsj-78	154	2	-	-	PUNCT
ccsj-78	154	3	colors	color	NOUN
ccsj-78	154	4	histograms	histogram	NOUN
ccsj-78	154	5	of	of	ADP
ccsj-78	154	6	the	the	DET
ccsj-78	154	7	gray	gray	ADJ
ccsj-78	154	8	-	-	PUNCT
ccsj-78	154	9	world	world	NOUN
ccsj-78	154	10	normalized	normalize	VERB
ccsj-78	154	11	color	color	NOUN
ccsj-78	154	12	channels	channel	NOUN
ccsj-78	154	13	.	.	PUNCT
ccsj-78	155	1	gw	gw	NOUN
ccsj-78	155	2	-	-	PUNCT
ccsj-78	155	3	colors	color	NOUN
ccsj-78	155	4	,	,	PUNCT
ccsj-78	155	5	l2	l2	NOUN
ccsj-78	155	6	histograms	histogram	NOUN
ccsj-78	155	7	of	of	ADP
ccsj-78	155	8	the	the	DET
ccsj-78	155	9	gray	gray	ADJ
ccsj-78	155	10	-	-	PUNCT
ccsj-78	155	11	world	world	NOUN
ccsj-78	155	12	normalized	normalize	VERB
ccsj-78	155	13	color	color	NOUN
ccsj-78	155	14	channels	channel	NOUN
ccsj-78	155	15	,	,	PUNCT
ccsj-78	155	16	weighted	weight	VERB
ccsj-78	155	17	by	by	ADP
ccsj-78	155	18	the	the	DET
ccsj-78	155	19	euclidean	euclidean	ADJ
ccsj-78	155	20	distance	distance	NOUN
ccsj-78	155	21	.	.	PUNCT
ccsj-78	156	1	gw	gw	NOUN
ccsj-78	156	2	-	-	PUNCT
ccsj-78	156	3	colors	color	NOUN
ccsj-78	156	4	+	+	CCONJ
ccsj-78	156	5	lbp(r	lbp(r	PROPN
ccsj-78	156	6	,	,	PUNCT
ccsj-78	156	7	p	p	NOUN
ccsj-78	156	8	)	)	PUNCT
ccsj-78	156	9	color	color	NOUN
ccsj-78	156	10	&	&	CCONJ
ccsj-78	156	11	texture	texture	ADJ
ccsj-78	156	12	joint	joint	ADJ
ccsj-78	156	13	probability	probability	NOUN
ccsj-78	156	14	of	of	ADP
ccsj-78	156	15	gray	gray	ADJ
ccsj-78	156	16	-	-	PUNCT
ccsj-78	156	17	world	world	NOUN
ccsj-78	156	18	normalized	normalize	VERB
ccsj-78	156	19	images	image	NOUN
ccsj-78	156	20	[	[	X
ccsj-78	156	21	gw	gw	NOUN
ccsj-78	156	22	-	-	PUNCT
ccsj-78	156	23	algorithm	algorithm	NOUN
ccsj-78	156	24	]	]	PUNCT
ccsj-78	156	25	gw	gw	NOUN
ccsj-78	156	26	-	-	PUNCT
ccsj-78	156	27	colors	color	NOUN
ccsj-78	156	28	+	+	CCONJ
ccsj-78	156	29	lbp(r	lbp(r	PROPN
ccsj-78	156	30	,	,	PUNCT
ccsj-78	156	31	p	p	NOUN
ccsj-78	156	32	)	)	PUNCT
ccsj-78	156	33	,	,	PUNCT
ccsj-78	156	34	l2	l2	NOUN
ccsj-78	156	35	color	color	NOUN
ccsj-78	156	36	&	&	CCONJ
ccsj-78	156	37	texture	texture	ADJ
ccsj-78	156	38	joint	joint	ADJ
ccsj-78	156	39	probability	probability	NOUN
ccsj-78	156	40	of	of	ADP
ccsj-78	156	41	gray	gray	ADJ
ccsj-78	156	42	-	-	PUNCT
ccsj-78	156	43	world	world	NOUN
ccsj-78	156	44	normalized	normalize	VERB
ccsj-78	156	45	images	image	NOUN
ccsj-78	156	46	,	,	PUNCT
ccsj-78	156	47	weighted	weight	VERB
ccsj-78	156	48	by	by	ADP
ccsj-78	156	49	the	the	DET
ccsj-78	156	50	euclidean	euclidean	ADJ
ccsj-78	156	51	distance	distance	NOUN
ccsj-78	156	52	[	[	X
ccsj-78	156	53	gw	gw	NOUN
ccsj-78	156	54	-	-	PUNCT
ccsj-78	156	55	algorithm	algorithm	NOUN
ccsj-78	156	56	]	]	PUNCT
ccsj-78	156	57	.	.	PUNCT
ccsj-78	157	1	colors	color	NOUN
ccsj-78	157	2	histograms	histogram	NOUN
ccsj-78	157	3	of	of	ADP
ccsj-78	157	4	rgb	rgb	PROPN
ccsj-78	157	5	color	color	NOUN
ccsj-78	157	6	channels	channel	NOUN
ccsj-78	157	7	.	.	PUNCT
ccsj-78	158	1	colors	color	NOUN
ccsj-78	158	2	,	,	PUNCT
ccsj-78	158	3	l2	l2	NOUN
ccsj-78	158	4	histograms	histogram	NOUN
ccsj-78	158	5	of	of	ADP
ccsj-78	158	6	rgb	rgb	PROPN
ccsj-78	158	7	color	color	NOUN
ccsj-78	158	8	channels	channel	NOUN
ccsj-78	158	9	,	,	PUNCT
ccsj-78	158	10	weighted	weight	VERB
ccsj-78	158	11	by	by	ADP
ccsj-78	158	12	the	the	DET
ccsj-78	158	13	euclidean	euclidean	ADJ
ccsj-78	158	14	distance	distance	NOUN
ccsj-78	158	15	.	.	PUNCT
ccsj-78	159	1	colors	color	NOUN
ccsj-78	159	2	+	+	CCONJ
ccsj-78	159	3	lbp(r	lbp(r	PROPN
ccsj-78	159	4	,	,	PUNCT
ccsj-78	159	5	p	p	NOUN
ccsj-78	159	6	)	)	PUNCT
ccsj-78	159	7	joint	joint	ADJ
ccsj-78	159	8	probability	probability	NOUN
ccsj-78	159	9	of	of	ADP
ccsj-78	159	10	color	color	NOUN
ccsj-78	159	11	and	and	CCONJ
ccsj-78	159	12	texture	texture	NOUN
ccsj-78	159	13	[	[	X
ccsj-78	159	14	vk	vk	NOUN
ccsj-78	159	15	-	-	PUNCT
ccsj-78	159	16	algorithm	algorithm	NOUN
ccsj-78	159	17	]	]	PUNCT
ccsj-78	159	18	.	.	PUNCT
ccsj-78	160	1	colors	color	NOUN
ccsj-78	160	2	+	+	CCONJ
ccsj-78	160	3	lbp(r	lbp(r	PROPN
ccsj-78	160	4	,	,	PUNCT
ccsj-78	160	5	p	p	NOUN
ccsj-78	160	6	)	)	PUNCT
ccsj-78	160	7	,	,	PUNCT
ccsj-78	160	8	l2	l2	VERB
ccsj-78	160	9	joint	joint	ADJ
ccsj-78	160	10	probability	probability	NOUN
ccsj-78	160	11	of	of	ADP
ccsj-78	160	12	color	color	NOUN
ccsj-78	160	13	and	and	CCONJ
ccsj-78	160	14	texture	texture	NOUN
ccsj-78	160	15	,	,	PUNCT
ccsj-78	160	16	weighted	weight	VERB
ccsj-78	160	17	by	by	ADP
ccsj-78	160	18	the	the	DET
ccsj-78	160	19	euclidean	euclidean	ADJ
ccsj-78	160	20	distance	distance	NOUN
ccsj-78	160	21	[	[	X
ccsj-78	160	22	vk	vk	NOUN
ccsj-78	160	23	-	-	PUNCT
ccsj-78	160	24	algorithm	algorithm	NOUN
ccsj-78	160	25	]	]	PUNCT
ccsj-78	160	26	.	.	PUNCT
ccsj-78	161	1	table	table	NOUN
ccsj-78	161	2	1	1	NUM
ccsj-78	161	3	:	:	PUNCT
ccsj-78	161	4	acronyms	acronym	NOUN
ccsj-78	161	5	of	of	ADP
ccsj-78	161	6	the	the	DET
ccsj-78	161	7	retrieval	retrieval	NOUN
ccsj-78	161	8	algorithms	algorithm	NOUN
ccsj-78	161	9	.	.	PUNCT
ccsj-78	162	1	descriptor	descriptor	NOUN
ccsj-78	162	2	retrieval	retrieval	PROPN
ccsj-78	162	3	distance	distance	NOUN
ccsj-78	162	4	amp	amp	PROPN
ccsj-78	162	5	rr	rr	PROPN
ccsj-78	162	6	(	(	PUNCT
ccsj-78	162	7	%	%	INTJ
ccsj-78	162	8	)	)	PUNCT
ccsj-78	162	9	mean	mean	INTJ
ccsj-78	162	10	rank	rank	NOUN
ccsj-78	163	1	[	[	X
ccsj-78	163	2	on	on	ADP
ccsj-78	163	3	1360	1360	NUM
ccsj-78	163	4	img	img	NOUN
ccsj-78	163	5	]	]	X
ccsj-78	163	6	lbp	lbp	PROPN
ccsj-78	163	7	(	(	PUNCT
ccsj-78	163	8	1	1	NUM
ccsj-78	163	9	,	,	PUNCT
ccsj-78	163	10	8)	8)	NUM
ccsj-78	163	11	log	log	NOUN
ccsj-78	163	12	-	-	PUNCT
ccsj-78	163	13	likelihood	likelihood	NOUN
ccsj-78	163	14	[	[	X
ccsj-78	163	15	3	3	NUM
ccsj-78	163	16	]	]	X
ccsj-78	163	17	0.89971	0.89971	NUM
ccsj-78	163	18	10.613	10.613	NUM
ccsj-78	163	19	137	137	NUM
ccsj-78	163	20	lbp(2	lbp(2	ADJ
ccsj-78	163	21	,	,	PUNCT
ccsj-78	163	22	16	16	NUM
ccsj-78	163	23	)	)	PUNCT
ccsj-78	163	24	log	log	NOUN
ccsj-78	163	25	-	-	PUNCT
ccsj-78	163	26	likelihood	likelihood	NOUN
ccsj-78	163	27	[	[	X
ccsj-78	163	28	3	3	NUM
ccsj-78	163	29	]	]	SYM
ccsj-78	163	30	0.93845	0.93845	NUM
ccsj-78	163	31	18.125	18.125	NUM
ccsj-78	163	32	85	85	NUM
ccsj-78	163	33	lbp(1	lbp(1	NOUN
ccsj-78	163	34	,	,	PUNCT
ccsj-78	163	35	8)	8)	NUM
ccsj-78	163	36	l2	l2	NOUN
ccsj-78	163	37	0.90558	0.90558	NUM
ccsj-78	163	38	11.067	11.067	NUM
ccsj-78	163	39	129	129	NUM
ccsj-78	163	40	lbp(2	lbp(2	ADJ
ccsj-78	163	41	,	,	PUNCT
ccsj-78	163	42	16	16	NUM
ccsj-78	163	43	)	)	PUNCT
ccsj-78	163	44	l2	l2	NOUN
ccsj-78	163	45	0.94323	0.94323	NUM
ccsj-78	163	46	18.787	18.787	NUM
ccsj-78	163	47	78	78	NUM
ccsj-78	163	48	lbp(1	lbp(1	NOUN
ccsj-78	163	49	,	,	PUNCT
ccsj-78	163	50	8)	8)	NUM
ccsj-78	163	51	l1	l1	PROPN
ccsj-78	163	52	0.93327	0.93327	PROPN
ccsj-78	163	53	23.946	23.946	NUM
ccsj-78	163	54	92	92	NUM
ccsj-78	163	55	lbp(2	lbp(2	ADJ
ccsj-78	163	56	,	,	PUNCT
ccsj-78	163	57	16	16	NUM
ccsj-78	163	58	)	)	PUNCT
ccsj-78	163	59	l1	l1	PROPN
ccsj-78	163	60	0.96827	0.96827	NUM
ccsj-78	163	61	36.078	36.078	NUM
ccsj-78	163	62	44	44	NUM
ccsj-78	163	63	lbp(1	lbp(1	NOUN
ccsj-78	163	64	,	,	PUNCT
ccsj-78	163	65	8)	8)	NUM
ccsj-78	163	66	,	,	PUNCT
ccsj-78	163	67	l2	l2	NOUN
ccsj-78	163	68	l1	l1	PROPN
ccsj-78	163	69	0.93492	0.93492	NUM
ccsj-78	163	70	23.836	23.836	NUM
ccsj-78	163	71	89	89	NUM
ccsj-78	163	72	lbp(2	lbp(2	ADJ
ccsj-78	163	73	,	,	PUNCT
ccsj-78	163	74	16	16	NUM
ccsj-78	163	75	)	)	PUNCT
ccsj-78	163	76	,	,	PUNCT
ccsj-78	163	77	l2	l2	NOUN
ccsj-78	163	78	l1	l1	PROPN
ccsj-78	163	79	0.96968	0.96968	NUM
ccsj-78	163	80	35.343	35.343	NUM
ccsj-78	163	81	42	42	NUM
ccsj-78	163	82	lbpc(1	lbpc(1	NOUN
ccsj-78	163	83	,	,	PUNCT
ccsj-78	163	84	8)	8)	NUM
ccsj-78	163	85	l1	l1	PROPN
ccsj-78	163	86	0.88932	0.88932	NUM
ccsj-78	163	87	11.618	11.618	NUM
ccsj-78	163	88	151	151	NUM
ccsj-78	163	89	lbpc(2	lbpc(2	PROPN
ccsj-78	163	90	,	,	PUNCT
ccsj-78	163	91	16	16	NUM
ccsj-78	163	92	)	)	PUNCT
ccsj-78	163	93	l1	l1	PROPN
ccsj-78	163	94	0.90535	0.90535	NUM
ccsj-78	163	95	18.027	18.027	NUM
ccsj-78	163	96	130	130	NUM
ccsj-78	163	97	lbpc(1	lbpc(1	NOUN
ccsj-78	163	98	,	,	PUNCT
ccsj-78	163	99	8)	8)	NUM
ccsj-78	163	100	,	,	PUNCT
ccsj-78	163	101	l2	l2	NOUN
ccsj-78	163	102	l1	l1	PROPN
ccsj-78	163	103	0.89389	0.89389	NUM
ccsj-78	163	104	10.637	10.637	NUM
ccsj-78	163	105	145	145	NUM
ccsj-78	163	106	lbpc(2	lbpc(2	PROPN
ccsj-78	163	107	,	,	PUNCT
ccsj-78	163	108	16	16	NUM
ccsj-78	163	109	)	)	PUNCT
ccsj-78	163	110	,	,	PUNCT
ccsj-78	163	111	l2	l2	NOUN
ccsj-78	163	112	l1	l1	PROPN
ccsj-78	163	113	0.90871	0.90871	NUM
ccsj-78	163	114	16.544	16.544	NUM
ccsj-78	163	115	125	125	NUM
ccsj-78	163	116	gw	gw	NOUN
ccsj-78	163	117	-	-	PUNCT
ccsj-78	163	118	colors	color	NOUN
ccsj-78	163	119	l1	l1	PROPN
ccsj-78	163	120	0.97943	0.97943	NUM
ccsj-78	163	121	21.446	21.446	NUM
ccsj-78	163	122	29	29	NUM
ccsj-78	163	123	gw	gw	NOUN
ccsj-78	163	124	-	-	PUNCT
ccsj-78	163	125	colors	color	NOUN
ccsj-78	163	126	,	,	PUNCT
ccsj-78	163	127	l2	l2	NOUN
ccsj-78	163	128	l1	l1	PROPN
ccsj-78	163	129	0.97939	0.97939	NUM
ccsj-78	163	130	21.336	21.336	NUM
ccsj-78	163	131	29	29	NUM
ccsj-78	163	132	gw	gw	NOUN
ccsj-78	163	133	-	-	PUNCT
ccsj-78	163	134	colors	color	NOUN
ccsj-78	163	135	+	+	CCONJ
ccsj-78	163	136	lbp(1	lbp(1	NOUN
ccsj-78	163	137	,	,	PUNCT
ccsj-78	163	138	8)	8)	NUM
ccsj-78	163	139	l1	l1	PROPN
ccsj-78	163	140	0.98433	0.98433	NUM
ccsj-78	163	141	31.716	31.716	NUM
ccsj-78	163	142	22	22	NUM
ccsj-78	163	143	gw	gw	NOUN
ccsj-78	163	144	-	-	PUNCT
ccsj-78	163	145	colors	color	NOUN
ccsj-78	163	146	+	+	CCONJ
ccsj-78	163	147	lbp(2	lbp(2	ADJ
ccsj-78	163	148	,	,	PUNCT
ccsj-78	163	149	16	16	NUM
ccsj-78	163	150	)	)	PUNCT
ccsj-78	163	151	l1	l1	PROPN
ccsj-78	163	152	0.98766	0.98766	NUM
ccsj-78	163	153	37.378	37.378	NUM
ccsj-78	163	154	18	18	NUM
ccsj-78	163	155	gw	gw	NOUN
ccsj-78	163	156	-	-	PUNCT
ccsj-78	163	157	colors	color	NOUN
ccsj-78	163	158	+	+	CCONJ
ccsj-78	163	159	lbp(1	lbp(1	NOUN
ccsj-78	163	160	,	,	PUNCT
ccsj-78	163	161	8)	8)	NUM
ccsj-78	163	162	,	,	PUNCT
ccsj-78	163	163	l2	l2	NOUN
ccsj-78	163	164	l1	l1	PROPN
ccsj-78	163	165	0.98416	0.98416	NUM
ccsj-78	163	166	31.017	31.017	NUM
ccsj-78	163	167	23	23	NUM
ccsj-78	163	168	gw	gw	NOUN
ccsj-78	163	169	-	-	PUNCT
ccsj-78	163	170	colors	color	NOUN
ccsj-78	163	171	+	+	CCONJ
ccsj-78	163	172	lbp(2	lbp(2	ADJ
ccsj-78	163	173	,	,	PUNCT
ccsj-78	163	174	16	16	NUM
ccsj-78	163	175	)	)	PUNCT
ccsj-78	163	176	,	,	PUNCT
ccsj-78	163	177	l2	l2	NOUN
ccsj-78	163	178	l1	l1	PROPN
ccsj-78	163	179	0.98779	0.98779	NUM
ccsj-78	163	180	36.863	36.863	NUM
ccsj-78	163	181	18	18	NUM
ccsj-78	163	182	colors	color	NOUN
ccsj-78	163	183	parametric	parametric	PROPN
ccsj-78	163	184	emd	emd	PROPN
ccsj-78	163	185	0.95845	0.95845	NUM
ccsj-78	163	186	36.569	36.569	NUM
ccsj-78	163	187	57	57	NUM
ccsj-78	163	188	colors	color	NOUN
ccsj-78	163	189	,	,	PUNCT
ccsj-78	163	190	l2	l2	NOUN
ccsj-78	163	191	parametric	parametric	PROPN
ccsj-78	163	192	emd	emd	PROPN
ccsj-78	163	193	0.96118	0.96118	NUM
ccsj-78	163	194	36.703	36.703	NUM
ccsj-78	163	195	54	54	NUM
ccsj-78	163	196	colors	color	NOUN
ccsj-78	163	197	+	+	CCONJ
ccsj-78	163	198	lbp(1	lbp(1	NOUN
ccsj-78	163	199	,	,	PUNCT
ccsj-78	163	200	8)	8)	NUM
ccsj-78	163	201	parametric	parametric	PROPN
ccsj-78	163	202	emd	emd	PROPN
ccsj-78	163	203	,	,	PUNCT
ccsj-78	163	204	l1	l1	PROPN
ccsj-78	163	205	0.98256	0.98256	NUM
ccsj-78	163	206	42.451	42.451	NUM
ccsj-78	163	207	25	25	NUM
ccsj-78	163	208	colors	color	NOUN
ccsj-78	163	209	+	+	CCONJ
ccsj-78	163	210	lbp(2	lbp(2	ADJ
ccsj-78	163	211	,	,	PUNCT
ccsj-78	163	212	16	16	NUM
ccsj-78	163	213	)	)	PUNCT
ccsj-78	163	214	parametric	parametric	PROPN
ccsj-78	163	215	emd	emd	PROPN
ccsj-78	163	216	,	,	PUNCT
ccsj-78	163	217	l1	l1	PROPN
ccsj-78	163	218	0.98633	0.98633	NUM
ccsj-78	163	219	47.745	47.745	NUM
ccsj-78	163	220	19	19	NUM
ccsj-78	163	221	colors	color	NOUN
ccsj-78	163	222	+	+	CCONJ
ccsj-78	163	223	lbp(1	lbp(1	NOUN
ccsj-78	163	224	,	,	PUNCT
ccsj-78	163	225	8)	8)	NUM
ccsj-78	163	226	,	,	PUNCT
ccsj-78	163	227	l2	l2	NOUN
ccsj-78	163	228	parametric	parametric	PROPN
ccsj-78	163	229	emd	emd	PROPN
ccsj-78	163	230	,	,	PUNCT
ccsj-78	163	231	l1	l1	PROPN
ccsj-78	163	232	0.98310	0.98310	NUM
ccsj-78	163	233	42.096	42.096	NUM
ccsj-78	163	234	23	23	NUM
ccsj-78	163	235	colors	color	NOUN
ccsj-78	163	236	+	+	CCONJ
ccsj-78	163	237	lbp(2	lbp(2	ADJ
ccsj-78	163	238	,	,	PUNCT
ccsj-78	163	239	16	16	NUM
ccsj-78	163	240	)	)	PUNCT
ccsj-78	163	241	,	,	PUNCT
ccsj-78	163	242	l2	l2	VERB
ccsj-78	163	243	parametric	parametric	PROPN
ccsj-78	163	244	emd	emd	PROPN
ccsj-78	163	245	,	,	PUNCT
ccsj-78	163	246	l1	l1	PROPN
ccsj-78	163	247	0.98685	0.98685	NUM
ccsj-78	163	248	47.708	47.708	NUM
ccsj-78	163	249	18	18	NUM
ccsj-78	163	250	table	table	NOUN
ccsj-78	163	251	2	2	NUM
ccsj-78	163	252	:	:	PUNCT
ccsj-78	163	253	retrieval	retrieval	NOUN
ccsj-78	163	254	results	result	NOUN
ccsj-78	163	255	(	(	PUNCT
ccsj-78	163	256	see	see	VERB
ccsj-78	163	257	tab	tab	NOUN
ccsj-78	163	258	.	.	PUNCT
ccsj-78	163	259	1	1	NUM
ccsj-78	163	260	for	for	ADP
ccsj-78	163	261	the	the	DET
ccsj-78	163	262	acronyms	acronym	NOUN
ccsj-78	163	263	of	of	ADP
ccsj-78	163	264	used	use	VERB
ccsj-78	163	265	descriptors	descriptor	NOUN
ccsj-78	163	266	)	)	PUNCT
ccsj-78	163	267	.	.	PUNCT
ccsj-78	164	1	in	in	ADP
ccsj-78	164	2	the	the	DET
ccsj-78	164	3	last	last	ADJ
ccsj-78	164	4	four	four	NUM
ccsj-78	164	5	descriptors	descriptor	NOUN
ccsj-78	164	6	,	,	PUNCT
ccsj-78	164	7	parametric	parametric	PROPN
ccsj-78	164	8	emd	emd	PROPN
ccsj-78	164	9	has	have	AUX
ccsj-78	164	10	been	be	AUX
ccsj-78	164	11	used	use	VERB
ccsj-78	164	12	for	for	ADP
ccsj-78	164	13	computing	compute	VERB
ccsj-78	164	14	the	the	DET
ccsj-78	164	15	von	von	PROPN
ccsj-78	164	16	kries	krie	NOUN
ccsj-78	164	17	coefficients	coefficient	NOUN
ccsj-78	164	18	and	and	CCONJ
ccsj-78	164	19	l1	l1	PROPN
ccsj-78	164	20	to	to	PART
ccsj-78	164	21	match	match	VERB
ccsj-78	164	22	the	the	DET
ccsj-78	164	23	color	color	NOUN
ccsj-78	164	24	corrected	correct	VERB
ccsj-78	164	25	probability	probability	NOUN
ccsj-78	164	26	maps	map	NOUN
ccsj-78	164	27	.	.	PUNCT
ccsj-78	165	1	funding	fund	VERB
ccsj-78	165	2	this	this	DET
ccsj-78	165	3	research	research	NOUN
ccsj-78	165	4	did	do	AUX
ccsj-78	165	5	not	not	PART
ccsj-78	165	6	receive	receive	VERB
ccsj-78	165	7	any	any	DET
ccsj-78	165	8	specific	specific	ADJ
ccsj-78	165	9	grant	grant	NOUN
ccsj-78	165	10	from	from	ADP
ccsj-78	165	11	funding	fund	VERB
ccsj-78	165	12	agencies	agency	NOUN
ccsj-78	165	13	in	in	ADP
ccsj-78	165	14	the	the	DET
ccsj-78	165	15	public	public	ADJ
ccsj-78	165	16	,	,	PUNCT
ccsj-78	165	17	commercial	commercial	ADJ
ccsj-78	165	18	,	,	PUNCT
ccsj-78	165	19	or	or	CCONJ
ccsj-78	165	20	not	not	PART
ccsj-78	165	21	-	-	PUNCT
ccsj-78	165	22	for	for	ADP
ccsj-78	165	23	-	-	PUNCT
ccsj-78	165	24	profit	profit	NOUN
ccsj-78	165	25	sectors	sector	NOUN
ccsj-78	165	26	.	.	PUNCT
ccsj-78	166	1	conflict	conflict	NOUN
ccsj-78	166	2	of	of	ADP
ccsj-78	166	3	interest	interest	NOUN
ccsj-78	166	4	the	the	DET
ccsj-78	166	5	author	author	NOUN
ccsj-78	166	6	declares	declare	VERB
ccsj-78	166	7	no	no	DET
ccsj-78	166	8	conflict	conflict	NOUN
ccsj-78	166	9	of	of	ADP
ccsj-78	166	10	interest	interest	NOUN
ccsj-78	166	11	including	include	VERB
ccsj-78	166	12	financial	financial	ADJ
ccsj-78	166	13	,	,	PUNCT
ccsj-78	166	14	personal	personal	ADJ
ccsj-78	166	15	or	or	CCONJ
ccsj-78	166	16	other	other	ADJ
ccsj-78	166	17	relationship	relationship	NOUN
ccsj-78	166	18	with	with	ADP
ccsj-78	166	19	other	other	ADJ
ccsj-78	166	20	people	people	NOUN
ccsj-78	166	21	and	and	CCONJ
ccsj-78	166	22	organizations	organization	NOUN
ccsj-78	166	23	within	within	ADP
ccsj-78	166	24	three	three	NUM
ccsj-78	166	25	years	year	NOUN
ccsj-78	166	26	of	of	ADP
ccsj-78	166	27	beginning	begin	VERB
ccsj-78	166	28	the	the	DET
ccsj-78	166	29	submitted	submit	VERB
ccsj-78	166	30	work	work	NOUN
ccsj-78	166	31	that	that	PRON
ccsj-78	166	32	could	could	AUX
ccsj-78	166	33	inappropriately	inappropriately	ADV
ccsj-78	166	34	influence	influence	VERB
ccsj-78	166	35	,	,	PUNCT
ccsj-78	166	36	or	or	CCONJ
ccsj-78	166	37	be	be	AUX
ccsj-78	166	38	perceived	perceive	VERB
ccsj-78	166	39	to	to	PART
ccsj-78	166	40	influence	influence	VERB
ccsj-78	166	41	,	,	PUNCT
ccsj-78	166	42	this	this	PRON
ccsj-78	166	43	work	work	NOUN
ccsj-78	166	44	36	36	NUM
ccsj-78	166	45	cultura	cultura	NOUN
ccsj-78	166	46	e	e	PROPN
ccsj-78	166	47	scienza	scienza	PROPN
ccsj-78	166	48	del	del	PROPN
ccsj-78	166	49	colore	colore	PROPN
ccsj-78	166	50	color	color	NOUN
ccsj-78	166	51	culture	culture	NOUN
ccsj-78	166	52	and	and	CCONJ
ccsj-78	166	53	science	science	NOUN
ccsj-78	166	54	|	|	ADV
ccsj-78	166	55	07	07	NUM
ccsj-78	167	1	|	|	NOUN
ccsj-78	167	2	2017	2017	NUM
ccsj-78	167	3	|	|	ADV
ccsj-78	167	4	29	29	NUM
ccsj-78	167	5	38	38	NUM
ccsj-78	167	6	lecca	lecca	PROPN
ccsj-78	167	7	m.	m.	PROPN
ccsj-78	167	8	issn	issn	PROPN
ccsj-78	167	9	2384	2384	NUM
ccsj-78	167	10	-	-	SYM
ccsj-78	167	11	9568	9568	NUM
ccsj-78	167	12	doi	doi	NOUN
ccsj-78	167	13	:	:	PUNCT
ccsj-78	167	14	10.23738	10.23738	NUM
ccsj-78	167	15	/	/	SYM
ccsj-78	167	16	ccsj.i72017.03	ccsj.i72017.03	ADJ
ccsj-78	167	17	figure	figure	NOUN
ccsj-78	167	18	5	5	NUM
ccsj-78	167	19	an	an	DET
ccsj-78	167	20	image	image	NOUN
ccsj-78	167	21	,	,	PUNCT
ccsj-78	167	22	its	its	PRON
ccsj-78	167	23	gray	gray	ADJ
ccsj-78	167	24	-	-	PUNCT
ccsj-78	167	25	world	world	NOUN
ccsj-78	167	26	normalization	normalization	NOUN
ccsj-78	167	27	,	,	PUNCT
ccsj-78	167	28	its	its	PRON
ccsj-78	167	29	1d	1d	NUM
ccsj-78	167	30	chromaticity	chromaticity	NOUN
ccsj-78	167	31	image	image	NOUN
ccsj-78	167	32	and	and	CCONJ
ccsj-78	167	33	the	the	DET
ccsj-78	167	34	color	color	NOUN
ccsj-78	167	35	and	and	CCONJ
ccsj-78	167	36	texture	texture	ADJ
ccsj-78	167	37	descriptors	descriptor	NOUN
ccsj-78	167	38	listed	list	VERB
ccsj-78	167	39	in	in	ADP
ccsj-78	167	40	section	section	NOUN
ccsj-78	167	41	4	4	NUM
ccsj-78	167	42	,	,	PUNCT
ccsj-78	167	43	points	point	VERB
ccsj-78	167	44	1	1	NUM
ccsj-78	167	45	,	,	PUNCT
ccsj-78	167	46	2	2	NUM
ccsj-78	167	47	,	,	PUNCT
ccsj-78	167	48	3	3	NUM
ccsj-78	167	49	,	,	PUNCT
ccsj-78	167	50	4	4	NUM
ccsj-78	167	51	.	.	PUNCT
ccsj-78	168	1	the	the	DET
ccsj-78	168	2	x	x	ADJ
ccsj-78	168	3	-	-	ADJ
ccsj-78	168	4	axis	axis	ADJ
ccsj-78	168	5	reports	report	NOUN
ccsj-78	168	6	the	the	DET
ccsj-78	168	7	intensity	intensity	NOUN
ccsj-78	168	8	bins	bin	NOUN
ccsj-78	168	9	.	.	PUNCT
ccsj-78	169	1	37	37	NUM
ccsj-78	169	2	cultura	cultura	NOUN
ccsj-78	169	3	e	e	PROPN
ccsj-78	169	4	scienza	scienza	PROPN
ccsj-78	169	5	del	del	PROPN
ccsj-78	169	6	colore	colore	PROPN
ccsj-78	169	7	color	color	NOUN
ccsj-78	169	8	culture	culture	NOUN
ccsj-78	169	9	and	and	CCONJ
ccsj-78	169	10	science	science	NOUN
ccsj-78	169	11	|	|	ADV
ccsj-78	169	12	07	07	NUM
ccsj-78	169	13	|	|	NOUN
ccsj-78	169	14	2017	2017	NUM
ccsj-78	169	15	|	|	ADV
ccsj-78	169	16	29	29	NUM
ccsj-78	169	17	38	38	NUM
ccsj-78	169	18	using	use	VERB
ccsj-78	169	19	color	color	NOUN
ccsj-78	169	20	and	and	CCONJ
ccsj-78	169	21	local	local	ADJ
ccsj-78	169	22	binary	binary	ADJ
ccsj-78	169	23	patterns	pattern	NOUN
ccsj-78	169	24	for	for	ADP
ccsj-78	169	25	texture	texture	ADJ
ccsj-78	169	26	retrieval	retrieval	NOUN
ccsj-78	169	27	issn	issn	PROPN
ccsj-78	169	28	2384	2384	NUM
ccsj-78	169	29	-	-	SYM
ccsj-78	169	30	9568	9568	NUM
ccsj-78	169	31	bibliography	bibliography	NOUN
ccsj-78	169	32	[	[	X
ccsj-78	169	33	1	1	NUM
ccsj-78	169	34	]	]	X
ccsj-78	169	35	r.	r.	PROPN
ccsj-78	169	36	veltkamp	veltkamp	PROPN
ccsj-78	169	37	,	,	PUNCT
ccsj-78	169	38	h.	h.	PROPN
ccsj-78	169	39	burkhardt	burkhardt	PROPN
ccsj-78	169	40	and	and	CCONJ
ccsj-78	169	41	h.-p	h.-p	PROPN
ccsj-78	169	42	.	.	PUNCT
ccsj-78	169	43	kriegel	kriegel	PROPN
ccsj-78	169	44	,	,	PUNCT
ccsj-78	169	45	(	(	PUNCT
ccsj-78	169	46	eds	ed	NOUN
ccsj-78	169	47	)	)	PUNCT
ccsj-78	169	48	,	,	PUNCT
ccsj-78	169	49	state	state	NOUN
ccsj-78	169	50	-	-	PUNCT
ccsj-78	169	51	of	of	ADP
ccsj-78	169	52	-	-	PUNCT
ccsj-78	169	53	the	the	DET
ccsj-78	169	54	-	-	PUNCT
ccsj-78	169	55	art	art	NOUN
ccsj-78	169	56	in	in	ADP
ccsj-78	169	57	content	content	NOUN
ccsj-78	169	58	-	-	PUNCT
ccsj-78	169	59	based	base	VERB
ccsj-78	169	60	image	image	NOUN
ccsj-78	169	61	and	and	CCONJ
ccsj-78	169	62	video	video	NOUN
ccsj-78	169	63	retrieval	retrieval	NOUN
ccsj-78	169	64	,	,	PUNCT
ccsj-78	169	65	springer	springer	NOUN
ccsj-78	169	66	science	science	PROPN
ccsj-78	169	67	&	&	CCONJ
ccsj-78	169	68	business	business	NOUN
ccsj-78	169	69	media	medium	NOUN
ccsj-78	169	70	,	,	PUNCT
ccsj-78	169	71	2013	2013	NUM
ccsj-78	169	72	.	.	PUNCT
ccsj-78	170	1	[	[	X
ccsj-78	170	2	2	2	NUM
ccsj-78	170	3	]	]	PUNCT
ccsj-78	170	4	m.	m.	NOUN
ccsj-78	170	5	lecca	lecca	PROPN
ccsj-78	170	6	,	,	PUNCT
ccsj-78	170	7	“	"	PUNCT
ccsj-78	170	8	color	color	NOUN
ccsj-78	170	9	improves	improve	VERB
ccsj-78	170	10	texture	texture	ADJ
ccsj-78	170	11	retreval	retreval	NOUN
ccsj-78	170	12	,	,	PUNCT
ccsj-78	170	13	”	"	PUNCT
ccsj-78	170	14	in	in	ADP
ccsj-78	170	15	proc	proc	NOUN
ccsj-78	170	16	.	.	PUNCT
ccsj-78	171	1	of	of	ADP
ccsj-78	171	2	x	x	PROPN
ccsj-78	171	3	colour	colour	NOUN
ccsj-78	171	4	conference	conference	NOUN
ccsj-78	171	5	,	,	PUNCT
ccsj-78	171	6	genova	genova	PROPN
ccsj-78	171	7	,	,	PUNCT
ccsj-78	171	8	italy	italy	PROPN
ccsj-78	171	9	,	,	PUNCT
ccsj-78	171	10	2014	2014	NUM
ccsj-78	171	11	.	.	PUNCT
ccsj-78	172	1	[	[	X
ccsj-78	172	2	3	3	X
ccsj-78	172	3	]	]	X
ccsj-78	172	4	m.	m.	NOUN
ccsj-78	172	5	pietikäinen	pietikäinen	NOUN
ccsj-78	172	6	,	,	PUNCT
ccsj-78	172	7	t.	t.	NOUN
ccsj-78	172	8	ojala	ojala	NOUN
ccsj-78	172	9	and	and	CCONJ
ccsj-78	172	10	t.	t.	PROPN
ccsj-78	172	11	mäenpää	mäenpää	ADJ
ccsj-78	172	12	,	,	PUNCT
ccsj-78	172	13	“	"	PUNCT
ccsj-78	172	14	multiresolution	multiresolution	NOUN
ccsj-78	172	15	gray	gray	ADJ
ccsj-78	172	16	-	-	PUNCT
ccsj-78	172	17	scale	scale	NOUN
ccsj-78	172	18	and	and	CCONJ
ccsj-78	172	19	rotation	rotation	NOUN
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ccsj-78	172	21	texture	texture	NOUN
ccsj-78	172	22	classification	classification	NOUN
ccsj-78	172	23	with	with	ADP
ccsj-78	172	24	local	local	ADJ
ccsj-78	172	25	binary	binary	ADJ
ccsj-78	172	26	patterns	pattern	NOUN
ccsj-78	172	27	,	,	PUNCT
ccsj-78	172	28	”	"	PUNCT
ccsj-78	172	29	ieee	ieee	NOUN
ccsj-78	172	30	trans	tran	NOUN
ccsj-78	172	31	.	.	PUNCT
ccsj-78	173	1	on	on	ADP
ccsj-78	173	2	pattern	pattern	NOUN
ccsj-78	173	3	analysis	analysis	NOUN
ccsj-78	173	4	and	and	CCONJ
ccsj-78	173	5	machine	machine	NOUN
ccsj-78	173	6	intelligence	intelligence	NOUN
ccsj-78	173	7	,	,	PUNCT
ccsj-78	173	8	vol	vol	NOUN
ccsj-78	173	9	.	.	PROPN
ccsj-78	173	10	24	24	NUM
ccsj-78	173	11	,	,	PUNCT
ccsj-78	173	12	no	no	INTJ
ccsj-78	173	13	.	.	NOUN
ccsj-78	173	14	7	7	NUM
ccsj-78	173	15	,	,	PUNCT
ccsj-78	173	16	2002	2002	NUM
ccsj-78	173	17	.	.	PUNCT
ccsj-78	174	1	[	[	X
ccsj-78	174	2	4	4	X
ccsj-78	174	3	]	]	PUNCT
ccsj-78	174	4	j.	j.	PROPN
ccsj-78	174	5	y.	y.	PROPN
ccsj-78	174	6	choi	choi	PROPN
ccsj-78	174	7	,	,	PUNCT
ccsj-78	174	8	k.	k.	PROPN
ccsj-78	174	9	plataniotis	plataniotis	PROPN
ccsj-78	174	10	and	and	CCONJ
ccsj-78	174	11	y.-m	y.-m	NOUN
ccsj-78	174	12	.	.	PUNCT
ccsj-78	175	1	ro	ro	NOUN
ccsj-78	175	2	,	,	PUNCT
ccsj-78	175	3	“	"	PUNCT
ccsj-78	175	4	using	use	VERB
ccsj-78	175	5	colour	colour	NOUN
ccsj-78	175	6	local	local	ADJ
ccsj-78	175	7	binary	binary	ADJ
ccsj-78	175	8	pattern	pattern	NOUN
ccsj-78	175	9	features	feature	VERB
ccsj-78	175	10	for	for	ADP
ccsj-78	175	11	face	face	NOUN
ccsj-78	175	12	recognition	recognition	NOUN
ccsj-78	175	13	,	,	PUNCT
ccsj-78	175	14	”	"	PUNCT
ccsj-78	175	15	in	in	ADP
ccsj-78	175	16	proc	proc	NOUN
ccsj-78	175	17	.	.	PUNCT
ccsj-78	176	1	of	of	ADP
ccsj-78	176	2	17th	17th	ADJ
ccsj-78	176	3	ieee	ieee	PROPN
ccsj-78	176	4	international	international	ADJ
ccsj-78	176	5	conference	conference	NOUN
ccsj-78	176	6	on	on	ADP
ccsj-78	176	7	image	image	NOUN
ccsj-78	176	8	processing	processing	NOUN
ccsj-78	176	9	,	,	PUNCT
ccsj-78	176	10	2010	2010	NUM
ccsj-78	176	11	.	.	PUNCT
ccsj-78	177	1	[	[	X
ccsj-78	177	2	5	5	X
ccsj-78	177	3	]	]	X
ccsj-78	177	4	g.	g.	PROPN
ccsj-78	177	5	anbarjafari	anbarjafari	PROPN
ccsj-78	177	6	,	,	PUNCT
ccsj-78	177	7	“	"	PUNCT
ccsj-78	177	8	face	face	NOUN
ccsj-78	177	9	recognition	recognition	NOUN
ccsj-78	177	10	using	use	VERB
ccsj-78	177	11	color	color	NOUN
ccsj-78	177	12	local	local	ADJ
ccsj-78	177	13	binary	binary	ADJ
ccsj-78	177	14	pattern	pattern	NOUN
ccsj-78	177	15	from	from	ADP
ccsj-78	177	16	mutually	mutually	ADV
ccsj-78	177	17	independent	independent	ADJ
ccsj-78	177	18	color	color	NOUN
ccsj-78	177	19	channels	channel	NOUN
ccsj-78	177	20	,	,	PUNCT
ccsj-78	177	21	”	"	PUNCT
ccsj-78	177	22	eurasip	eurasip	NOUN
ccsj-78	177	23	journal	journal	PROPN
ccsj-78	177	24	on	on	ADP
ccsj-78	177	25	image	image	NOUN
ccsj-78	177	26	and	and	CCONJ
ccsj-78	177	27	video	video	NOUN
ccsj-78	177	28	processing	processing	NOUN
ccsj-78	177	29	,	,	PUNCT
ccsj-78	177	30	vol	vol	NOUN
ccsj-78	177	31	.	.	PROPN
ccsj-78	177	32	1	1	NUM
ccsj-78	177	33	,	,	PUNCT
ccsj-78	177	34	no	no	INTJ
ccsj-78	177	35	.	.	NOUN
ccsj-78	177	36	6	6	NUM
ccsj-78	177	37	,	,	PUNCT
ccsj-78	177	38	2013	2013	NUM
ccsj-78	177	39	.	.	PUNCT
ccsj-78	178	1	[	[	X
ccsj-78	178	2	6	6	NUM
ccsj-78	178	3	]	]	PUNCT
ccsj-78	178	4	s.	s.	PROPN
ccsj-78	178	5	banerji	banerji	PROPN
ccsj-78	178	6	,	,	PUNCT
ccsj-78	178	7	a.	a.	PROPN
ccsj-78	178	8	verma	verma	PROPN
ccsj-78	178	9	and	and	CCONJ
ccsj-78	178	10	c.	c.	PROPN
ccsj-78	178	11	liu	liu	PROPN
ccsj-78	178	12	,	,	PUNCT
ccsj-78	178	13	“	"	PUNCT
ccsj-78	178	14	lbp	lbp	NOUN
ccsj-78	178	15	and	and	CCONJ
ccsj-78	178	16	color	color	NOUN
ccsj-78	178	17	descriptors	descriptor	NOUN
ccsj-78	178	18	for	for	ADP
ccsj-78	178	19	image	image	NOUN
ccsj-78	178	20	classification	classification	NOUN
ccsj-78	178	21	,	,	PUNCT
ccsj-78	178	22	”	"	PUNCT
ccsj-78	178	23	in	in	ADP
ccsj-78	178	24	cross	cross	ADJ
ccsj-78	178	25	disciplinary	disciplinary	ADJ
ccsj-78	178	26	biometric	biometric	ADJ
ccsj-78	178	27	systems	system	NOUN
ccsj-78	178	28	,	,	PUNCT
ccsj-78	178	29	springer	springer	NOUN
ccsj-78	178	30	,	,	PUNCT
ccsj-78	178	31	2012	2012	NUM
ccsj-78	178	32	,	,	PUNCT
ccsj-78	178	33	pp	pp	ADJ
ccsj-78	178	34	.	.	PUNCT
ccsj-78	179	1	205	205	NUM
ccsj-78	179	2	-	-	SYM
ccsj-78	179	3	225	225	NUM
ccsj-78	179	4	.	.	PUNCT
ccsj-78	180	1	[	[	X
ccsj-78	180	2	7	7	X
ccsj-78	180	3	]	]	X
ccsj-78	180	4	c.	c.	PROPN
ccsj-78	180	5	zhu	zhu	PROPN
ccsj-78	180	6	,	,	PUNCT
ccsj-78	180	7	c.-e	c.-e	PROPN
ccsj-78	180	8	.	.	PUNCT
ccsj-78	181	1	bichot	bichot	VERB
ccsj-78	181	2	and	and	CCONJ
ccsj-78	181	3	i.	i.	PROPN
ccsj-78	181	4	chen	chen	PROPN
ccsj-78	181	5	,	,	PUNCT
ccsj-78	181	6	“	"	PUNCT
ccsj-78	181	7	multi	multi	ADJ
ccsj-78	181	8	-	-	ADJ
ccsj-78	181	9	scale	scale	ADJ
ccsj-78	181	10	color	color	NOUN
ccsj-78	181	11	local	local	ADJ
ccsj-78	181	12	binary	binary	ADJ
ccsj-78	181	13	patterns	pattern	NOUN
ccsj-78	181	14	for	for	ADP
ccsj-78	181	15	visual	visual	ADJ
ccsj-78	181	16	object	object	NOUN
ccsj-78	181	17	classes	class	NOUN
ccsj-78	181	18	recognition	recognition	NOUN
ccsj-78	181	19	,	,	PUNCT
ccsj-78	181	20	”	"	PUNCT
ccsj-78	181	21	in	in	ADP
ccsj-78	181	22	proc	proc	NOUN
ccsj-78	181	23	.	.	PUNCT
ccsj-78	182	1	of	of	ADP
ccsj-78	182	2	20th	20th	ADJ
ccsj-78	182	3	international	international	ADJ
ccsj-78	182	4	conference	conference	NOUN
ccsj-78	182	5	on	on	ADP
ccsj-78	182	6	image	image	NOUN
ccsj-78	182	7	processing	processing	NOUN
ccsj-78	182	8	,	,	PUNCT
ccsj-78	182	9	2010	2010	NUM
ccsj-78	183	1	.	.	PUNCT
ccsj-78	184	1	[	[	X
ccsj-78	184	2	8	8	NUM
ccsj-78	184	3	]	]	X
ccsj-78	184	4	g.	g.	PROPN
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ccsj-78	184	6	,	,	PUNCT
ccsj-78	184	7	j.	j.	PROPN
ccsj-78	184	8	sun	sun	PROPN
ccsj-78	184	9	and	and	CCONJ
ccsj-78	184	10	l.	l.	PROPN
ccsj-78	184	11	song	song	PROPN
ccsj-78	184	12	,	,	PUNCT
ccsj-78	184	13	“	"	PUNCT
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ccsj-78	184	15	background	background	NOUN
ccsj-78	184	16	subtraction	subtraction	NOUN
ccsj-78	184	17	based	base	VERB
ccsj-78	184	18	on	on	ADP
ccsj-78	184	19	spatial	spatial	ADJ
ccsj-78	184	20	extended	extend	VERB
ccsj-78	184	21	center	center	ADJ
ccsj-78	184	22	-	-	PUNCT
ccsj-78	184	23	symmetric	symmetric	ADJ
ccsj-78	184	24	local	local	ADJ
ccsj-78	184	25	binary	binary	NOUN
ccsj-78	184	26	pattern	pattern	NOUN
ccsj-78	184	27	,	,	PUNCT
ccsj-78	184	28	”	"	PUNCT
ccsj-78	184	29	in	in	ADP
ccsj-78	184	30	ieee	ieee	PROPN
ccsj-78	184	31	international	international	ADJ
ccsj-78	184	32	conference	conference	NOUN
ccsj-78	184	33	on	on	ADP
ccsj-78	184	34	multimedia	multimedia	NOUN
ccsj-78	184	35	and	and	CCONJ
ccsj-78	184	36	expo	expo	NOUN
ccsj-78	184	37	,	,	PUNCT
ccsj-78	184	38	2010	2010	NUM
ccsj-78	184	39	.	.	PUNCT
ccsj-78	185	1	[	[	X
ccsj-78	185	2	9	9	NUM
ccsj-78	185	3	]	]	X
ccsj-78	185	4	d.	d.	PROPN
ccsj-78	185	5	huang	huang	PROPN
ccsj-78	185	6	,	,	PUNCT
ccsj-78	185	7	s.	s.	PROPN
ccsj-78	185	8	caifeng	caifeng	PROPN
ccsj-78	185	9	,	,	PUNCT
ccsj-78	185	10	m.	m.	NOUN
ccsj-78	185	11	ardabilian	ardabilian	PROPN
ccsj-78	185	12	,	,	PUNCT
ccsj-78	185	13	y.	y.	PROPN
ccsj-78	185	14	wang	wang	PROPN
ccsj-78	185	15	and	and	CCONJ
ccsj-78	185	16	c.	c.	PROPN
ccsj-78	185	17	liming	liming	NOUN
ccsj-78	185	18	,	,	PUNCT
ccsj-78	185	19	“	"	PUNCT
ccsj-78	185	20	local	local	ADJ
ccsj-78	185	21	binary	binary	ADJ
ccsj-78	185	22	patterns	pattern	NOUN
ccsj-78	185	23	and	and	CCONJ
ccsj-78	185	24	its	its	PRON
ccsj-78	185	25	application	application	NOUN
ccsj-78	185	26	to	to	ADP
ccsj-78	185	27	facial	facial	ADJ
ccsj-78	185	28	image	image	NOUN
ccsj-78	185	29	analysis	analysis	NOUN
ccsj-78	185	30	:	:	PUNCT
ccsj-78	185	31	a	a	DET
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ccsj-78	185	33	,	,	PUNCT
ccsj-78	185	34	”	"	PUNCT
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ccsj-78	185	36	,	,	PUNCT
ccsj-78	185	37	man	man	NOUN
ccsj-78	185	38	,	,	PUNCT
ccsj-78	185	39	and	and	CCONJ
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ccsj-78	185	41	,	,	PUNCT
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ccsj-78	185	43	c	c	NOUN
ccsj-78	185	44	:	:	PUNCT
ccsj-78	185	45	applications	application	NOUN
ccsj-78	185	46	and	and	CCONJ
ccsj-78	185	47	reviews	review	NOUN
ccsj-78	185	48	,	,	PUNCT
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ccsj-78	185	52	,	,	PUNCT
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ccsj-78	185	55	6	6	NUM
ccsj-78	185	56	,	,	PUNCT
ccsj-78	185	57	pp	pp	ADJ
ccsj-78	185	58	.	.	PUNCT
ccsj-78	186	1	pp.765	pp.765	PROPN
ccsj-78	186	2	-	-	PUNCT
ccsj-78	186	3	781	781	PROPN
ccsj-78	186	4	,	,	PUNCT
ccsj-78	186	5	nov	nov	PROPN
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ccsj-78	186	7	2011	2011	NUM
ccsj-78	186	8	.	.	PUNCT
ccsj-78	187	1	[	[	X
ccsj-78	187	2	10	10	NUM
ccsj-78	187	3	]	]	X
ccsj-78	187	4	s.	s.	PROPN
ccsj-78	187	5	malathi	malathi	PROPN
ccsj-78	187	6	and	and	CCONJ
ccsj-78	187	7	c.	c.	PROPN
ccsj-78	187	8	meena	meena	PROPN
ccsj-78	187	9	,	,	PUNCT
ccsj-78	187	10	“	"	PUNCT
ccsj-78	187	11	an	an	DET
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ccsj-78	187	13	method	method	NOUN
ccsj-78	187	14	for	for	ADP
ccsj-78	187	15	partial	partial	ADJ
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ccsj-78	187	17	recognition	recognition	NOUN
ccsj-78	187	18	based	base	VERB
ccsj-78	187	19	on	on	ADP
ccsj-78	187	20	local	local	ADJ
ccsj-78	187	21	binary	binary	NOUN
ccsj-78	187	22	pattern	pattern	NOUN
ccsj-78	187	23	,	,	PUNCT
ccsj-78	187	24	”	"	PUNCT
ccsj-78	187	25	in	in	ADP
ccsj-78	187	26	ieee	ieee	PROPN
ccsj-78	187	27	international	international	ADJ
ccsj-78	187	28	conference	conference	NOUN
ccsj-78	187	29	on	on	ADP
ccsj-78	187	30	communication	communication	NOUN
ccsj-78	187	31	control	control	NOUN
ccsj-78	187	32	and	and	CCONJ
ccsj-78	187	33	computing	computing	NOUN
ccsj-78	187	34	technologies	technology	NOUN
ccsj-78	187	35	,	,	PUNCT
ccsj-78	187	36	2010	2010	NUM
ccsj-78	187	37	.	.	PUNCT
ccsj-78	188	1	[	[	X
ccsj-78	188	2	11	11	NUM
ccsj-78	188	3	]	]	X
ccsj-78	188	4	l.	l.	PROPN
ccsj-78	188	5	nanni	nanni	PROPN
ccsj-78	188	6	,	,	PUNCT
ccsj-78	188	7	a.	a.	NOUN
ccsj-78	188	8	lumini	lumini	PROPN
ccsj-78	188	9	and	and	CCONJ
ccsj-78	188	10	s.	s.	PROPN
ccsj-78	188	11	brahnam	brahnam	PROPN
ccsj-78	188	12	,	,	PUNCT
ccsj-78	188	13	“	"	PUNCT
ccsj-78	188	14	survey	survey	NOUN
ccsj-78	188	15	on	on	ADP
ccsj-78	188	16	lbp	lbp	PROPN
ccsj-78	188	17	based	base	VERB
ccsj-78	188	18	texture	texture	NOUN
ccsj-78	188	19	descriptors	descriptor	NOUN
ccsj-78	188	20	for	for	ADP
ccsj-78	188	21	image	image	NOUN
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ccsj-78	188	23	,	,	PUNCT
ccsj-78	188	24	”	"	PUNCT
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ccsj-78	188	26	systems	system	NOUN
ccsj-78	188	27	with	with	ADP
ccsj-78	188	28	applications	application	NOUN
ccsj-78	188	29	,	,	PUNCT
ccsj-78	188	30	vol	vol	NOUN
ccsj-78	188	31	.	.	PROPN
ccsj-78	188	32	39	39	NUM
ccsj-78	188	33	,	,	PUNCT
ccsj-78	188	34	no	no	INTJ
ccsj-78	188	35	.	.	NOUN
ccsj-78	188	36	32	32	NUM
ccsj-78	188	37	,	,	PUNCT
ccsj-78	188	38	2012	2012	NUM
ccsj-78	188	39	.	.	PUNCT
ccsj-78	189	1	[	[	X
ccsj-78	189	2	12	12	NUM
ccsj-78	189	3	]	]	X
ccsj-78	189	4	g.	g.	PROPN
ccsj-78	189	5	schaefer	schaefer	PROPN
ccsj-78	189	6	,	,	PUNCT
ccsj-78	189	7	“	"	PUNCT
ccsj-78	189	8	colour	colour	NOUN
ccsj-78	189	9	for	for	ADP
ccsj-78	189	10	image	image	NOUN
ccsj-78	189	11	retrieval	retrieval	NOUN
ccsj-78	189	12	and	and	CCONJ
ccsj-78	189	13	image	image	NOUN
ccsj-78	189	14	browsing	browse	VERB
ccsj-78	189	15	,	,	PUNCT
ccsj-78	189	16	”	"	PUNCT
ccsj-78	189	17	in	in	ADP
ccsj-78	189	18	proc	proc	NOUN
ccsj-78	189	19	.	.	PUNCT
ccsj-78	189	20	of	of	ADP
ccsj-78	189	21	elmar	elmar	PROPN
ccsj-78	189	22	,	,	PUNCT
ccsj-78	189	23	2011	2011	NUM
ccsj-78	189	24	.	.	PUNCT
ccsj-78	190	1	[	[	X
ccsj-78	190	2	13	13	NUM
ccsj-78	190	3	]	]	X
ccsj-78	190	4	e.	e.	PROPN
ccsj-78	190	5	schechter	schechter	PROPN
ccsj-78	190	6	,	,	PUNCT
ccsj-78	190	7	handbook	handbook	NOUN
ccsj-78	190	8	of	of	ADP
ccsj-78	190	9	analysis	analysis	NOUN
ccsj-78	190	10	and	and	CCONJ
ccsj-78	190	11	its	its	PRON
ccsj-78	190	12	foundations	foundation	NOUN
ccsj-78	190	13	,	,	PUNCT
ccsj-78	190	14	london	london	PROPN
ccsj-78	190	15	:	:	PUNCT
ccsj-78	190	16	academic	academic	PROPN
ccsj-78	190	17	press	press	PROPN
ccsj-78	190	18	inc	inc	PROPN
ccsj-78	190	19	,	,	PUNCT
ccsj-78	190	20	1997	1997	NUM
ccsj-78	190	21	.	.	PUNCT
ccsj-78	191	1	[	[	X
ccsj-78	191	2	14	14	NUM
ccsj-78	191	3	]	]	X
ccsj-78	191	4	g.	g.	PROPN
ccsj-78	191	5	finlayson	finlayson	PROPN
ccsj-78	191	6	,	,	PUNCT
ccsj-78	191	7	m.	m.	NOUN
ccsj-78	191	8	drew	draw	VERB
ccsj-78	191	9	and	and	CCONJ
ccsj-78	191	10	b.	b.	PROPN
ccsj-78	191	11	funt	funt	PROPN
ccsj-78	191	12	,	,	PUNCT
ccsj-78	191	13	“	"	PUNCT
ccsj-78	191	14	diagonal	diagonal	ADJ
ccsj-78	191	15	transforms	transform	VERB
ccsj-78	191	16	suffice	suffice	VERB
ccsj-78	191	17	for	for	ADP
ccsj-78	191	18	color	color	NOUN
ccsj-78	191	19	constancy	constancy	NOUN
ccsj-78	191	20	,	,	PUNCT
ccsj-78	191	21	”	"	PUNCT
ccsj-78	191	22	in	in	ADP
ccsj-78	191	23	proc	proc	NOUN
ccsj-78	191	24	.	.	PUNCT
ccsj-78	192	1	of	of	ADP
ccsj-78	192	2	fourth	fourth	PROPN
ccsj-78	192	3	international	international	ADJ
ccsj-78	192	4	conference	conference	NOUN
ccsj-78	192	5	on	on	ADP
ccsj-78	192	6	computer	computer	NOUN
ccsj-78	192	7	vision	vision	NOUN
ccsj-78	192	8	,	,	PUNCT
ccsj-78	192	9	1993	1993	NUM
ccsj-78	192	10	.	.	PUNCT
ccsj-78	193	1	[	[	X
ccsj-78	193	2	15	15	NUM
ccsj-78	193	3	]	]	X
ccsj-78	193	4	m.	m.	NOUN
ccsj-78	193	5	lecca	lecca	PROPN
ccsj-78	193	6	and	and	CCONJ
ccsj-78	193	7	s.	s.	PROPN
ccsj-78	193	8	messelodi	messelodi	PROPN
ccsj-78	193	9	,	,	PUNCT
ccsj-78	193	10	“	"	PUNCT
ccsj-78	193	11	illuminant	illuminant	ADJ
ccsj-78	193	12	change	change	NOUN
ccsj-78	193	13	estimation	estimation	NOUN
ccsj-78	193	14	via	via	ADP
ccsj-78	193	15	minimization	minimization	NOUN
ccsj-78	193	16	of	of	ADP
ccsj-78	193	17	color	color	NOUN
ccsj-78	193	18	histogram	histogram	NOUN
ccsj-78	193	19	divergence	divergence	NOUN
ccsj-78	193	20	,	,	PUNCT
ccsj-78	193	21	”	"	PUNCT
ccsj-78	193	22	in	in	ADP
ccsj-78	193	23	computational	computational	ADJ
ccsj-78	193	24	color	color	NOUN
ccsj-78	193	25	imaging	imaging	NOUN
ccsj-78	193	26	workshop	workshop	NOUN
ccsj-78	193	27	,	,	PUNCT
ccsj-78	193	28	2009	2009	NUM
ccsj-78	193	29	.	.	PUNCT
ccsj-78	194	1	[	[	X
ccsj-78	194	2	16	16	NUM
ccsj-78	194	3	]	]	X
ccsj-78	194	4	m.	m.	NOUN
ccsj-78	194	5	lecca	lecca	PROPN
ccsj-78	194	6	,	,	PUNCT
ccsj-78	194	7	“	"	PUNCT
ccsj-78	194	8	on	on	ADP
ccsj-78	194	9	the	the	DET
ccsj-78	194	10	von	von	PROPN
ccsj-78	194	11	kries	kries	PROPN
ccsj-78	194	12	model	model	NOUN
ccsj-78	194	13	:	:	PUNCT
ccsj-78	194	14	estimation	estimation	NOUN
ccsj-78	194	15	,	,	PUNCT
ccsj-78	194	16	dependence	dependence	NOUN
ccsj-78	194	17	on	on	ADP
ccsj-78	194	18	light	light	NOUN
ccsj-78	194	19	and	and	CCONJ
ccsj-78	194	20	device	device	NOUN
ccsj-78	194	21	,	,	PUNCT
ccsj-78	194	22	and	and	CCONJ
ccsj-78	194	23	applications	application	NOUN
ccsj-78	194	24	,	,	PUNCT
ccsj-78	194	25	”	"	PUNCT
ccsj-78	194	26	in	in	ADP
ccsj-78	194	27	advances	advance	NOUN
ccsj-78	194	28	in	in	ADP
ccsj-78	194	29	low	low	ADJ
ccsj-78	194	30	-	-	PUNCT
ccsj-78	194	31	level	level	NOUN
ccsj-78	194	32	color	color	NOUN
ccsj-78	194	33	image	image	NOUN
ccsj-78	194	34	processing	processing	NOUN
ccsj-78	194	35	,	,	PUNCT
ccsj-78	194	36	springer	springer	NOUN
ccsj-78	194	37	,	,	PUNCT
ccsj-78	194	38	2014	2014	NUM
ccsj-78	194	39	,	,	PUNCT
ccsj-78	194	40	pp	pp	ADJ
ccsj-78	194	41	.	.	PUNCT
ccsj-78	195	1	95	95	NUM
ccsj-78	195	2	-	-	SYM
ccsj-78	195	3	135	135	NUM
ccsj-78	195	4	.	.	PUNCT
ccsj-78	196	1	[	[	X
ccsj-78	196	2	17	17	NUM
ccsj-78	196	3	]	]	PUNCT
ccsj-78	196	4	t.	t.	NOUN
ccsj-78	196	5	ojala	ojala	PROPN
ccsj-78	196	6	,	,	PUNCT
ccsj-78	196	7	t.	t.	PROPN
ccsj-78	196	8	mäenpää	mäenpää	ADJ
ccsj-78	196	9	,	,	PUNCT
ccsj-78	196	10	m.	m.	NOUN
ccsj-78	196	11	pietikäinen	pietikäinen	PROPN
ccsj-78	196	12	,	,	PUNCT
ccsj-78	196	13	h.	h.	PROPN
ccsj-78	196	14	viertola	viertola	PROPN
ccsj-78	196	15	,	,	PUNCT
ccsj-78	196	16	j.	j.	PROPN
ccsj-78	196	17	kyllönen	kyllönen	PROPN
ccsj-78	196	18	and	and	CCONJ
ccsj-78	196	19	s.	s.	PROPN
ccsj-78	196	20	huovinen	huovinen	PROPN
ccsj-78	196	21	,	,	PUNCT
ccsj-78	196	22	“	"	PUNCT
ccsj-78	196	23	outex	outex	ADJ
ccsj-78	196	24	new	new	ADJ
ccsj-78	196	25	framework	framework	NOUN
ccsj-78	196	26	for	for	ADP
ccsj-78	196	27	empirical	empirical	ADJ
ccsj-78	196	28	evaluation	evaluation	NOUN
ccsj-78	196	29	of	of	ADP
ccsj-78	196	30	texture	texture	ADJ
ccsj-78	196	31	analysis	analysis	NOUN
ccsj-78	196	32	algorithms	algorithm	NOUN
ccsj-78	196	33	,	,	PUNCT
ccsj-78	196	34	”	"	PUNCT
ccsj-78	196	35	in	in	ADP
ccsj-78	196	36	proc	proc	NOUN
ccsj-78	196	37	.	.	PUNCT
ccsj-78	197	1	of	of	ADP
ccsj-78	197	2	16th	16th	ADJ
ccsj-78	197	3	international	international	ADJ
ccsj-78	197	4	conference	conference	NOUN
ccsj-78	197	5	on	on	ADP
ccsj-78	197	6	image	image	NOUN
ccsj-78	197	7	processing	processing	NOUN
ccsj-78	197	8	,	,	PUNCT
ccsj-78	197	9	2002	2002	NUM
ccsj-78	197	10	.	.	PUNCT
ccsj-78	198	1	[	[	X
ccsj-78	198	2	18	18	NUM
ccsj-78	198	3	]	]	X
ccsj-78	198	4	d.	d.	PROPN
ccsj-78	198	5	harwood	harwood	PROPN
ccsj-78	198	6	,	,	PUNCT
ccsj-78	198	7	t.	t.	NOUN
ccsj-78	198	8	ojala	ojala	PROPN
ccsj-78	198	9	,	,	PUNCT
ccsj-78	198	10	m.	m.	NOUN
ccsj-78	198	11	pietikäinen	pietikäinen	PROPN
ccsj-78	198	12	,	,	PUNCT
ccsj-78	198	13	s.	s.	PROPN
ccsj-78	198	14	kelman	kelman	PROPN
ccsj-78	198	15	and	and	CCONJ
ccsj-78	198	16	l.	l.	PROPN
ccsj-78	198	17	davis	davis	PROPN
ccsj-78	198	18	,	,	PUNCT
ccsj-78	198	19	“	"	PUNCT
ccsj-78	198	20	texture	texture	ADJ
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ccsj-78	198	22	by	by	ADP
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ccsj-78	198	24	-	-	PUNCT
ccsj-78	198	25	symmetric	symmetric	ADJ
ccsj-78	198	26	autocorrelation	autocorrelation	NOUN
ccsj-78	198	27	,	,	PUNCT
ccsj-78	198	28	using	use	VERB
ccsj-78	198	29	kullback	kullback	NOUN
ccsj-78	198	30	discrimination	discrimination	NOUN
ccsj-78	198	31	of	of	ADP
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ccsj-78	198	33	,	,	PUNCT
ccsj-78	198	34	”	"	PUNCT
ccsj-78	198	35	pattern	pattern	NOUN
ccsj-78	198	36	recognition	recognition	NOUN
ccsj-78	198	37	letters	letter	NOUN
ccsj-78	198	38	,	,	PUNCT
ccsj-78	198	39	vol	vol	NOUN
ccsj-78	198	40	.	.	PROPN
ccsj-78	198	41	16	16	NUM
ccsj-78	198	42	,	,	PUNCT
ccsj-78	198	43	no	no	INTJ
ccsj-78	198	44	.	.	NOUN
ccsj-78	198	45	1	1	NUM
ccsj-78	198	46	,	,	PUNCT
ccsj-78	198	47	pp	pp	ADJ
ccsj-78	198	48	.	.	PUNCT
ccsj-78	199	1	1	1	NUM
ccsj-78	199	2	-	-	SYM
ccsj-78	199	3	10	10	NUM
ccsj-78	199	4	,	,	PUNCT
ccsj-78	199	5	1995	1995	NUM
ccsj-78	199	6	.	.	PUNCT
ccsj-78	200	1	[	[	X
ccsj-78	200	2	19	19	NUM
ccsj-78	200	3	]	]	PUNCT
ccsj-78	200	4	m.	m.	NOUN
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ccsj-78	200	7	t.	t.	NOUN
ccsj-78	200	8	ojala	ojala	PROPN
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ccsj-78	200	10	z.	z.	PROPN
ccsj-78	200	11	xu	xu	PROPN
ccsj-78	200	12	,	,	PUNCT
ccsj-78	200	13	“	"	PUNCT
ccsj-78	200	14	rotation	rotation	NOUN
ccsj-78	200	15	-	-	PUNCT
ccsj-78	200	16	invariant	invariant	ADJ
ccsj-78	200	17	texture	texture	NOUN
ccsj-78	200	18	classification	classification	NOUN
ccsj-78	200	19	using	use	VERB
ccsj-78	200	20	feature	feature	NOUN
ccsj-78	200	21	distributions	distribution	NOUN
ccsj-78	200	22	,	,	PUNCT
ccsj-78	200	23	”	"	PUNCT
ccsj-78	200	24	pattern	pattern	NOUN
ccsj-78	200	25	recognition	recognition	NOUN
ccsj-78	200	26	,	,	PUNCT
ccsj-78	200	27	vol	vol	NOUN
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ccsj-78	200	29	33	33	NUM
ccsj-78	200	30	,	,	PUNCT
ccsj-78	200	31	pp	pp	ADJ
ccsj-78	200	32	.	.	PUNCT
ccsj-78	201	1	43	43	NUM
ccsj-78	201	2	-	-	SYM
ccsj-78	201	3	52	52	NUM
ccsj-78	201	4	,	,	PUNCT
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ccsj-78	201	6	.	.	PUNCT
ccsj-78	202	1	[	[	X
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ccsj-78	202	3	]	]	X
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ccsj-78	202	5	s.	s.	PROPN
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ccsj-78	202	9	a.	a.	PROPN
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ccsj-78	202	17	texture	texture	ADJ
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ccsj-78	202	35	.	.	PUNCT
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ccsj-78	203	2	,	,	PUNCT
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ccsj-78	204	1	3	3	NUM
ccsj-78	204	2	,	,	PUNCT
ccsj-78	204	3	pp	pp	ADJ
ccsj-78	204	4	.	.	PUNCT
ccsj-78	205	1	251	251	NUM
ccsj-78	205	2	-	-	SYM
ccsj-78	205	3	259	259	NUM
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ccsj-78	205	5	,	,	PUNCT
ccsj-78	205	6	1979	1979	NUM
ccsj-78	205	7	.	.	PUNCT
ccsj-78	206	1	[	[	X
ccsj-78	206	2	21	21	NUM
ccsj-78	206	3	]	]	X
ccsj-78	206	4	r.	r.	PROPN
ccsj-78	206	5	porter	porter	PROPN
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ccsj-78	206	7	n.	n.	PROPN
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ccsj-78	206	10	“	"	PUNCT
ccsj-78	206	11	robust	robust	ADJ
ccsj-78	206	12	rotationinvariant	rotationinvariant	ADJ
ccsj-78	206	13	texture	texture	NOUN
ccsj-78	206	14	classification	classification	NOUN
ccsj-78	206	15	:	:	PUNCT
ccsj-78	206	16	wavelet	wavelet	NOUN
ccsj-78	206	17	,	,	PUNCT
ccsj-78	206	18	gabor	gabor	NOUN
ccsj-78	206	19	filter	filter	NOUN
ccsj-78	206	20	and	and	CCONJ
ccsj-78	206	21	gmrf	gmrf	NOUN
ccsj-78	206	22	based	base	VERB
ccsj-78	206	23	schemes	scheme	NOUN
ccsj-78	206	24	,	,	PUNCT
ccsj-78	206	25	”	"	PUNCT
ccsj-78	206	26	in	in	ADP
ccsj-78	206	27	vision	vision	NOUN
ccsj-78	206	28	,	,	PUNCT
ccsj-78	206	29	image	image	NOUN
ccsj-78	206	30	and	and	CCONJ
ccsj-78	206	31	signal	signal	ADJ
ccsj-78	206	32	figure	figure	NOUN
ccsj-78	206	33	6	6	NUM
ccsj-78	206	34	color	color	NOUN
ccsj-78	206	35	and	and	CCONJ
ccsj-78	206	36	texture	texture	ADJ
ccsj-78	206	37	descriptors	descriptor	NOUN
ccsj-78	206	38	(	(	PUNCT
ccsj-78	206	39	with	with	ADP
ccsj-78	206	40	and	and	CCONJ
ccsj-78	206	41	without	without	ADP
ccsj-78	206	42	euclidean	euclidean	ADJ
ccsj-78	206	43	weights	weight	NOUN
ccsj-78	206	44	)	)	PUNCT
ccsj-78	206	45	used	use	VERB
ccsj-78	206	46	by	by	ADP
ccsj-78	206	47	vkand	vkand	NOUN
ccsj-78	206	48	gwalgorithms	gwalgorithm	NOUN
ccsj-78	206	49	.	.	PUNCT
ccsj-78	207	1	these	these	DET
ccsj-78	207	2	features	feature	NOUN
ccsj-78	207	3	refer	refer	VERB
ccsj-78	207	4	to	to	ADP
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ccsj-78	207	6	image	image	NOUN
ccsj-78	207	7	in	in	ADP
ccsj-78	207	8	fig	fig	NOUN
ccsj-78	207	9	.	.	PUNCT
ccsj-78	208	1	5	5	X
ccsj-78	208	2	.	.	X
ccsj-78	208	3	the	the	DET
ccsj-78	208	4	black	black	ADJ
ccsj-78	208	5	bands	band	NOUN
ccsj-78	208	6	visible	visible	ADJ
ccsj-78	208	7	in	in	ADP
ccsj-78	208	8	the	the	DET
ccsj-78	208	9	probability	probability	NOUN
ccsj-78	208	10	maps	map	NOUN
ccsj-78	208	11	of	of	ADP
ccsj-78	208	12	gw	gw	PROPN
ccsj-78	208	13	-	-	PUNCT
ccsj-78	208	14	algorithm	algorithm	NOUN
ccsj-78	208	15	are	be	AUX
ccsj-78	208	16	due	due	ADJ
ccsj-78	208	17	to	to	ADP
ccsj-78	208	18	the	the	DET
ccsj-78	208	19	discrete	discrete	ADJ
ccsj-78	208	20	nature	nature	NOUN
ccsj-78	208	21	of	of	ADP
ccsj-78	208	22	the	the	DET
ccsj-78	208	23	v	v	ADJ
ccsj-78	208	24	isual	isual	ADJ
ccsj-78	208	25	data	datum	NOUN
ccsj-78	208	26	(	(	PUNCT
ccsj-78	208	27	the	the	DET
ccsj-78	208	28	v	v	NOUN
ccsj-78	208	29	alue	alue	NOUN
ccsj-78	208	30	in	in	ADP
ccsj-78	208	31	equation	equation	NOUN
ccsj-78	208	32	(	(	PUNCT
ccsj-78	208	33	3.1	3.1	NUM
ccsj-78	208	34	)	)	PUNCT
ccsj-78	208	35	is	be	AUX
ccsj-78	208	36	cast	cast	VERB
ccsj-78	208	37	to	to	ADP
ccsj-78	208	38	an	an	DET
ccsj-78	208	39	integer	integer	NOUN
ccsj-78	208	40	)	)	PUNCT
ccsj-78	208	41	.	.	PUNCT
ccsj-78	209	1	38	38	NUM
ccsj-78	209	2	cultura	cultura	NOUN
ccsj-78	209	3	e	e	PROPN
ccsj-78	209	4	scienza	scienza	PROPN
ccsj-78	209	5	del	del	PROPN
ccsj-78	209	6	colore	colore	PROPN
ccsj-78	209	7	color	color	NOUN
ccsj-78	209	8	culture	culture	NOUN
ccsj-78	209	9	and	and	CCONJ
ccsj-78	209	10	science	science	NOUN
ccsj-78	209	11	|	|	ADV
ccsj-78	209	12	07	07	NUM
ccsj-78	209	13	|	|	NOUN
ccsj-78	209	14	2017	2017	NUM
ccsj-78	209	15	|	|	ADV
ccsj-78	209	16	29	29	NUM
ccsj-78	209	17	38	38	NUM
ccsj-78	209	18	lecca	lecca	PROPN
ccsj-78	209	19	m.	m.	PROPN
ccsj-78	209	20	issn	issn	PROPN
ccsj-78	209	21	2384	2384	NUM
ccsj-78	209	22	-	-	SYM
ccsj-78	209	23	9568	9568	NUM
ccsj-78	209	24	doi	doi	NOUN
ccsj-78	209	25	:	:	PUNCT
ccsj-78	209	26	10.23738	10.23738	NUM
ccsj-78	209	27	/	/	SYM
ccsj-78	209	28	ccsj.i72017.03	ccsj.i72017.03	ADJ
ccsj-78	209	29	processing	processing	NOUN
ccsj-78	209	30	,	,	PUNCT
ccsj-78	209	31	iee	iee	PROPN
ccsj-78	209	32	proceedings	proceeding	NOUN
ccsj-78	209	33	,	,	PUNCT
ccsj-78	209	34	1997	1997	NUM
ccsj-78	209	35	.	.	PUNCT
ccsj-78	210	1	[	[	X
ccsj-78	210	2	22	22	NUM
ccsj-78	210	3	]	]	X
ccsj-78	210	4	e.	e.	PROPN
ccsj-78	210	5	provenzi	provenzi	PROPN
ccsj-78	210	6	,	,	PUNCT
ccsj-78	210	7	m.	m.	NOUN
ccsj-78	210	8	fierro	fierro	PROPN
ccsj-78	210	9	,	,	PUNCT
ccsj-78	210	10	a.	a.	NOUN
ccsj-78	210	11	rizzi	rizzi	PROPN
ccsj-78	210	12	,	,	PUNCT
ccsj-78	210	13	l.	l.	PROPN
ccsj-78	210	14	de	de	PROPN
ccsj-78	210	15	carli	carli	PROPN
ccsj-78	210	16	and	and	CCONJ
ccsj-78	210	17	d.	d.	PROPN
ccsj-78	210	18	marini	marini	PROPN
ccsj-78	210	19	,	,	PUNCT
ccsj-78	210	20	“	"	PUNCT
ccsj-78	210	21	random	random	ADJ
ccsj-78	210	22	spray	spray	NOUN
ccsj-78	210	23	retinex	retinex	NOUN
ccsj-78	210	24	:	:	PUNCT
ccsj-78	210	25	a	a	DET
ccsj-78	210	26	new	new	ADJ
ccsj-78	210	27	retinex	retinex	ADJ
ccsj-78	210	28	implementation	implementation	NOUN
ccsj-78	210	29	to	to	PART
ccsj-78	210	30	investigate	investigate	VERB
ccsj-78	210	31	the	the	DET
ccsj-78	210	32	local	local	ADJ
ccsj-78	210	33	properties	property	NOUN
ccsj-78	210	34	of	of	ADP
ccsj-78	210	35	the	the	DET
ccsj-78	210	36	model	model	NOUN
ccsj-78	210	37	,	,	PUNCT
ccsj-78	210	38	”	"	PUNCT
ccsj-78	210	39	ieee	ieee	NOUN
ccsj-78	210	40	transactions	transaction	NOUN
ccsj-78	210	41	on	on	ADP
ccsj-78	210	42	image	image	NOUN
ccsj-78	210	43	processing	processing	NOUN
ccsj-78	210	44	,	,	PUNCT
ccsj-78	210	45	vol	vol	NOUN
ccsj-78	210	46	.	.	PROPN
ccsj-78	211	1	16	16	NUM
ccsj-78	211	2	,	,	PUNCT
ccsj-78	211	3	no	no	INTJ
ccsj-78	211	4	.	.	NOUN
ccsj-78	211	5	1	1	NUM
ccsj-78	211	6	,	,	PUNCT
ccsj-78	211	7	pp	pp	ADJ
ccsj-78	211	8	.	.	PUNCT
ccsj-78	212	1	162	162	NUM
ccsj-78	212	2	-	-	SYM
ccsj-78	212	3	171	171	NUM
ccsj-78	212	4	,	,	PUNCT
ccsj-78	212	5	2007	2007	NUM
ccsj-78	212	6	.	.	PUNCT
ccsj-78	213	1	[	[	X
ccsj-78	213	2	23	23	NUM
ccsj-78	213	3	]	]	PUNCT
ccsj-78	213	4	a.	a.	NOUN
ccsj-78	213	5	rizzi	rizzi	PROPN
ccsj-78	213	6	,	,	PUNCT
ccsj-78	213	7	c.	c.	PROPN
ccsj-78	213	8	gatta	gatta	PROPN
ccsj-78	213	9	and	and	CCONJ
ccsj-78	213	10	d.	d.	PROPN
ccsj-78	213	11	marini	marini	PROPN
ccsj-78	213	12	,	,	PUNCT
ccsj-78	213	13	“	"	PUNCT
ccsj-78	213	14	from	from	ADP
ccsj-78	213	15	retinex	retinex	NOUN
ccsj-78	213	16	to	to	ADP
ccsj-78	213	17	automatic	automatic	ADJ
ccsj-78	213	18	color	color	NOUN
ccsj-78	213	19	equalization	equalization	NOUN
ccsj-78	213	20	:	:	PUNCT
ccsj-78	213	21	issues	issue	NOUN
ccsj-78	213	22	in	in	ADP
ccsj-78	213	23	developing	develop	VERB
ccsj-78	213	24	a	a	DET
ccsj-78	213	25	new	new	ADJ
ccsj-78	213	26	algorithm	algorithm	NOUN
ccsj-78	213	27	for	for	ADP
ccsj-78	213	28	unsupervised	unsupervised	ADJ
ccsj-78	213	29	color	color	NOUN
ccsj-78	213	30	equalization	equalization	NOUN
ccsj-78	213	31	,	,	PUNCT
ccsj-78	213	32	”	"	PUNCT
ccsj-78	213	33	j.	j.	PROPN
ccsj-78	213	34	electronic	electronic	ADJ
ccsj-78	213	35	imaging	imaging	PROPN
ccsj-78	213	36	,	,	PUNCT
ccsj-78	213	37	vol	vol	NOUN
ccsj-78	213	38	.	.	PROPN
ccsj-78	213	39	13	13	NUM
ccsj-78	213	40	,	,	PUNCT
ccsj-78	213	41	no	no	INTJ
ccsj-78	213	42	.	.	NOUN
ccsj-78	213	43	1	1	NUM
ccsj-78	213	44	,	,	PUNCT
ccsj-78	213	45	pp	pp	ADJ
ccsj-78	213	46	.	.	PUNCT
ccsj-78	214	1	75	75	NUM
ccsj-78	214	2	-	-	SYM
ccsj-78	214	3	84	84	NUM
ccsj-78	214	4	,	,	PUNCT
ccsj-78	214	5	2004	2004	NUM
ccsj-78	214	6	.	.	PUNCT