{"id":"https://openalex.org/W2104622289","doi":"https://doi.org/10.1109/icip.2007.4379594","title":"Information-Based Color Feature Representation for Image Classification","display_name":"Information-Based Color Feature Representation for Image Classification","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2104622289","doi":"https://doi.org/10.1109/icip.2007.4379594","mag":"2104622289"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4379594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 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/A5048895565","display_name":"Shuo Wang","orcid":"https://orcid.org/0000-0002-9689-3450"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"S.L. Wang","raw_affiliation_strings":["School of Information Security Engineering, Shanghai Jiaotong University, Shanghai, China","Shanghai Jiaotong University , Shanghai#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Information Security Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiaotong University , Shanghai#TAB#","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091254555","display_name":"Alan Wee\u2010Chung Liew","orcid":"https://orcid.org/0000-0001-6718-7584"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"A. W. C. Liew","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Brisbane, Australia","School of Info. and Comm. Technology, Griffith University, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Brisbane, Australia","institution_ids":["https://openalex.org/I11701301"]},{"raw_affiliation_string":"School of Info. and Comm. Technology, Griffith University, Brisbane, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048895565"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.9726,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87358369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"VI ","last_page":" 353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8048514127731323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7810555696487427},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.7283522486686707},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6912657618522644},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5934244990348816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5626280307769775},{"id":"https://openalex.org/keywords/color-quantization","display_name":"Color quantization","score":0.4968142807483673},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49411728978157043},{"id":"https://openalex.org/keywords/image-histogram","display_name":"Image histogram","score":0.4835514724254608},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4753018319606781},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44121941924095154},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42821308970451355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3599925637245178},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2254031002521515},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19647380709648132}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8048514127731323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7810555696487427},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.7283522486686707},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6912657618522644},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5934244990348816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5626280307769775},{"id":"https://openalex.org/C173752661","wikidata":"https://www.wikidata.org/wiki/Q1396414","display_name":"Color quantization","level":5,"score":0.4968142807483673},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49411728978157043},{"id":"https://openalex.org/C62725073","wikidata":"https://www.wikidata.org/wiki/Q1771663","display_name":"Image histogram","level":5,"score":0.4835514724254608},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4753018319606781},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44121941924095154},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42821308970451355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3599925637245178},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2254031002521515},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19647380709648132},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2007.4379594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.570.1084","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.570.1084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www98.griffith.edu.au/dspace/bitstream/handle/10072/17068/47662_1.pdf;jsessionid=43B13EA2695F9DC5C307E5F36B3D43DF?sequence=1","raw_type":"text"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/17068","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/17068","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7599999904632568,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1540371141","https://openalex.org/W1624804034","https://openalex.org/W1995875735","https://openalex.org/W2105568170","https://openalex.org/W2109464092","https://openalex.org/W2116801843","https://openalex.org/W2125148312","https://openalex.org/W2135001260","https://openalex.org/W2136251662","https://openalex.org/W2140129064","https://openalex.org/W2141782206","https://openalex.org/W2399703712","https://openalex.org/W6632223008","https://openalex.org/W6677267524","https://openalex.org/W6781870204"],"related_works":["https://openalex.org/W2809734899","https://openalex.org/W2349299344","https://openalex.org/W1981206111","https://openalex.org/W2539489883","https://openalex.org/W2014997041","https://openalex.org/W4302233118","https://openalex.org/W2115334227","https://openalex.org/W2167320272","https://openalex.org/W2035513807","https://openalex.org/W3009471832"],"abstract_inverted_index":{"For":[0],"the":[1,5,17,20,23,42,46,71,77,85,100,103,123,133,149,159,162,194,199,208],"image":[2,43,55,173,213],"classification":[3,174,186],"task,":[4],"color":[6,14,25,62,79,94,204,210],"histogram":[7,80,95,150,211],"is":[8,65,96,129,145,180],"widely":[9,184],"used":[10,185],"as":[11,88,193],"an":[12,142,166],"important":[13],"feature":[15,63,119,139,155,164],"indicating":[16],"content":[18],"of":[19,29,76,136,161,168,202],"image.":[21,101],"However,":[22],"high-resolution":[24],"histograms":[26,48],"are":[27,106,112,191],"usually":[28],"high":[30],"dimension":[31],"and":[32,108,141,152,177,189],"contain":[33],"much":[34],"redundant":[35,86,104],"information":[36,53,87,128],"which":[37,67],"does":[38],"not":[39,68],"relate":[40],"to":[41,115,121,131,147],"content,":[44],"while":[45],"low-resolution":[47],"cannot":[49],"provide":[50],"adequate":[51],"discriminative":[52,124,134],"for":[54],"classification.":[56,214],"In":[57],"this":[58],"paper,":[59],"a":[60,117,137],"new":[61,118],"representation":[64,205],"proposed":[66,163],"only":[69],"takes":[70],"correlation":[72],"among":[73],"neighbouring":[74,110],"components":[75],"conventional":[78,209],"into":[81],"account":[82],"but":[83],"removes":[84],"well.":[89],"A":[90],"high-resolution,":[91],"uniform":[92],"quantized":[93],"first":[97],"obtained":[98],"from":[99],"Then":[102],"bins":[105,111],"removed":[107],"some":[109],"combined":[113],"together":[114],"generate":[116],"component":[120],"maximize":[122],"ability.":[125],"The":[126],"mutual":[127],"adopted":[130],"evaluate":[132],"power":[135],"specific":[138],"set":[140],"iterative":[143],"algorithm":[144],"performed":[146],"derive":[148],"quantization":[151],"their":[153],"corresponding":[154],"generation.":[156],"To":[157],"illustrate":[158],"effectiveness":[160],"representation,":[165],"application":[167],"detecting":[169],"adult":[170],"images,":[171,179],"i.e.,":[172],"between":[175],"erotic":[176],"benign":[178],"carried":[181],"out.":[182],"Two":[183],"techniques,":[187],"SVM":[188],"Adaboost,":[190],"employed":[192],"classifier.":[195],"Experimental":[196],"results":[197],"show":[198],"superior":[200],"performance":[201],"our":[203],"compared":[206],"with":[207],"in":[212]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
