{"id":"https://openalex.org/W2096874076","doi":"https://doi.org/10.1109/icip.2008.4711717","title":"Wavelet-based color texture retrieval using the independent component color space","display_name":"Wavelet-based color texture retrieval using the independent component color space","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2096874076","doi":"https://doi.org/10.1109/icip.2008.4711717","mag":"2096874076"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4711717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4711717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108225422","display_name":"Ye Mei","orcid":null},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ye Mei","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONT, Canada","Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113967384","display_name":"Dimitrios Androutsos","orcid":"https://orcid.org/0009-0009-4892-6324"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dimitrios Androutsos","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONT, Canada","Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108225422"],"corresponding_institution_ids":["https://openalex.org/I530967"],"apc_list":null,"apc_paid":null,"fwci":1.4048,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83327893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"165","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7337856292724609},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.6725819110870361},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6570701003074646},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6503674983978271},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6017064452171326},{"id":"https://openalex.org/keywords/rgb-color-space","display_name":"RGB color space","score":0.5497456789016724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.491312175989151},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.4740692675113678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4626864194869995},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4311041831970215},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4293922185897827},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.41901007294654846},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4181120991706848},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.36308255791664124},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.18620344996452332},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.13741245865821838},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.08902040123939514},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08093798160552979}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7337856292724609},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.6725819110870361},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6570701003074646},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6503674983978271},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6017064452171326},{"id":"https://openalex.org/C84216515","wikidata":"https://www.wikidata.org/wiki/Q375677","display_name":"RGB color space","level":5,"score":0.5497456789016724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.491312175989151},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.4740692675113678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4626864194869995},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4311041831970215},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4293922185897827},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.41901007294654846},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4181120991706848},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.36308255791664124},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.18620344996452332},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.13741245865821838},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.08902040123939514},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08093798160552979}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2008.4711717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4711717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W44717426","https://openalex.org/W1544905265","https://openalex.org/W1548802052","https://openalex.org/W1980641156","https://openalex.org/W1988627679","https://openalex.org/W1990228533","https://openalex.org/W2010560725","https://openalex.org/W2099111195","https://openalex.org/W2163534628","https://openalex.org/W4205778870","https://openalex.org/W4256068510","https://openalex.org/W6632811864"],"related_works":["https://openalex.org/W2120904863","https://openalex.org/W2404548701","https://openalex.org/W2091106311","https://openalex.org/W2407615025","https://openalex.org/W2221219752","https://openalex.org/W1981206111","https://openalex.org/W2589042415","https://openalex.org/W2294493990","https://openalex.org/W2382864128","https://openalex.org/W2355820532"],"abstract_inverted_index":{"In":[0,18,118,150],"this":[1],"paper,":[2],"we":[3,91],"propose":[4],"a":[5,61,79,189],"wavelet":[6,30,111,139],"based":[7,205],"color":[8,16,19,34,58,64,115,193],"texture":[9,20,116,176,194],"retrieval":[10],"method":[11,200],"using":[12,168],"the":[13,22,51,56,67,89,98,114,119,124,135,142,151,157,160,169,174,181,184,198,209,217],"independent":[14,93,107],"component":[15,94],"space.":[17],"retrieval,":[21],"product":[23],"of":[24,29,53,123,138,156,173,180,191],"low":[25],"dimensional":[26,44],"marginal":[27,136],"distributions":[28,46],"coefficients":[31,69],"from":[32,70],"different":[33,71],"layers":[35,72,103,108],"are":[36,73,131,146],"preferred":[37],"to":[38,49,96,133],"substitute":[39],"or":[40,81],"approximate":[41],"their":[42],"high":[43],"joint":[45],"in":[47,183],"order":[48],"avoid":[50],"curse":[52],"dimensionality.":[54],"However,":[55],"RGB":[57,204],"spaces":[59],"is":[60,163],"highly":[62],"correlated":[63],"space":[65],"and":[66,101,141,178,212],"extractedwavelet":[68],"also":[74],"correlated,":[75],"which":[76,215],"means":[77],"such":[78],"substitution":[80],"approximation":[82],"will":[83],"not":[84],"be":[85],"adequate.":[86],"To":[87],"solve":[88],"problem,":[90],"use":[92],"analysis":[95],"decorrelate":[97],"R,":[99],"G":[100],"B":[102],"into":[104],"three":[105],"new":[106],"before":[109],"applying":[110],"decomposition":[112],"on":[113,188],"images.":[117],"feature":[120,166],"extraction(FE)":[121],"step":[122,155],"proposed":[125,158,199],"method,":[126,159],"generalized":[127],"Gaussian":[128],"density":[129],"(GGD)":[130],"used":[132,147],"model":[134,144,171],"distribution":[137],"coefficients,":[140],"extracted":[143,170],"parameters":[145,172],"as":[148,165],"features.":[149],"similarity":[152],"measurement":[153],"(SM)":[154],"Kullback-Leibler":[161],"distance(KLD)":[162],"calculated":[164],"distance,":[167],"query":[175],"images":[177,182,195],"those":[179],"database.":[185],"Experimental":[186],"results":[187],"database":[190],"1120":[192],"indicate":[196],"that":[197,207],"greatly":[201],"overperforms":[202],"its":[203,213],"counterpart":[206,214],"ignores":[208],"inter-layer":[210],"correlation,":[211],"uses":[216],"I1I2I3":[218],"colorspace.":[219]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
