{"id":"https://openalex.org/W133053503","doi":null,"title":"Efficient Image Retrieval with Statistical Color Descriptors","display_name":"Efficient Image Retrieval with Statistical Color Descriptors","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W133053503","mag":"133053503"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.428.5189","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.428.5189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://liu.diva-portal.org/smash/get/diva2:20898/FULLTEXT01.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5039179623","display_name":"Linh Viet Tran","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Linh Viet Tran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5039179623"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2072,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.88055536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":1.0,"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":1.0,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"content-based image retrieval","score":0.9829999804496765},{"id":"https://openalex.org/keywords/color-descriptors","display_name":"color descriptors","score":0.7870000004768372},{"id":"https://openalex.org/keywords/color-distribution","display_name":"color distribution","score":0.6710000038146973},{"id":"https://openalex.org/keywords/nonparametric-density-estimation","display_name":"nonparametric density estimation","score":0.8349999785423279},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"kernel density estimation","score":0.7450000047683716},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.7519999742507935},{"id":"https://openalex.org/keywords/distance-metrics","display_name":"distance measures","score":0.7210000157356262},{"id":"https://openalex.org/keywords/image-similarity","display_name":"image similarity","score":0.5350000262260437},{"id":"https://openalex.org/keywords/large-scale-image-datasets","display_name":"large-scale image databases","score":0.8399999737739563}],"concepts":[{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.5744518637657166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5703953504562378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5569364428520203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5374698042869568},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.4882107079029083},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4840192496776581},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.4726649522781372},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.46452152729034424},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.455425888299942},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.43581828474998474},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.42471954226493835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4197092652320862},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.41624805331230164},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.36588671803474426},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.3256686329841614},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.29033493995666504},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27284079790115356},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1813690960407257},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1317165493965149},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.428.5189","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.428.5189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://liu.diva-portal.org/smash/get/diva2:20898/FULLTEXT01.pdf","raw_type":"text"},{"id":"mag:133053503","doi":null,"is_oa":false,"landing_page_url":"http://liu.diva-portal.org/smash/get/diva2:20898/FULLTEXT01.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":101,"referenced_works":["https://openalex.org/W79918814","https://openalex.org/W88469653","https://openalex.org/W173810020","https://openalex.org/W586299271","https://openalex.org/W1491192762","https://openalex.org/W1501394472","https://openalex.org/W1511670827","https://openalex.org/W1513763184","https://openalex.org/W1520168181","https://openalex.org/W1520390271","https://openalex.org/W1541459201","https://openalex.org/W1585910451","https://openalex.org/W1630728390","https://openalex.org/W1655795019","https://openalex.org/W1680579736","https://openalex.org/W1752870650","https://openalex.org/W1837120581","https://openalex.org/W1917380066","https://openalex.org/W1947400014","https://openalex.org/W1964443764","https://openalex.org/W1969294188","https://openalex.org/W1975830550","https://openalex.org/W1977377710","https://openalex.org/W1978613449","https://openalex.org/W1982366717","https://openalex.org/W1983993791","https://openalex.org/W1988030911","https://openalex.org/W1990834635","https://openalex.org/W1992593992","https://openalex.org/W1993959163","https://openalex.org/W2002287862","https://openalex.org/W2006274070","https://openalex.org/W2008297189","https://openalex.org/W2013765095","https://openalex.org/W2014901406","https://openalex.org/W2023710283","https://openalex.org/W2035470580","https://openalex.org/W2035846779","https://openalex.org/W2039310800","https://openalex.org/W2045670925","https://openalex.org/W2048092465","https://openalex.org/W2051519617","https://openalex.org/W2056472112","https://openalex.org/W2057254291","https://openalex.org/W2057539798","https://openalex.org/W2063490865","https://openalex.org/W2063587308","https://openalex.org/W2066610120","https://openalex.org/W2067593945","https://openalex.org/W2072227363","https://openalex.org/W2072940124","https://openalex.org/W2073953612","https://openalex.org/W2077325236","https://openalex.org/W2077501305","https://openalex.org/W2078128010","https://openalex.org/W2081725613","https://openalex.org/W2087122110","https://openalex.org/W2087401004","https://openalex.org/W2098116514","https://openalex.org/W2098347925","https://openalex.org/W2109464092","https://openalex.org/W2109506130","https://openalex.org/W2116013009","https://openalex.org/W2118783153","https://openalex.org/W2123702567","https://openalex.org/W2125101937","https://openalex.org/W2125148312","https://openalex.org/W2129249398","https://openalex.org/W2129905273","https://openalex.org/W2133777675","https://openalex.org/W2134928010","https://openalex.org/W2135346934","https://openalex.org/W2136427942","https://openalex.org/W2137460067","https://openalex.org/W2139207118","https://openalex.org/W2142635246","https://openalex.org/W2149487138","https://openalex.org/W2149703947","https://openalex.org/W2151135734","https://openalex.org/W2152098612","https://openalex.org/W2157005738","https://openalex.org/W2160063258","https://openalex.org/W2160477239","https://openalex.org/W2163288162","https://openalex.org/W2166737325","https://openalex.org/W2167778199","https://openalex.org/W2168962753","https://openalex.org/W2277541416","https://openalex.org/W2277713269","https://openalex.org/W2284093350","https://openalex.org/W2284239051","https://openalex.org/W2296249689","https://openalex.org/W2799055878","https://openalex.org/W2799119698","https://openalex.org/W2914885528","https://openalex.org/W2979220766","https://openalex.org/W3023646433","https://openalex.org/W3135227555","https://openalex.org/W3162111397","https://openalex.org/W3183092658","https://openalex.org/W6959907286"],"related_works":["https://openalex.org/W7096543985","https://openalex.org/W2045670925","https://openalex.org/W2979220766","https://openalex.org/W7098482159","https://openalex.org/W2094941857","https://openalex.org/W2981529460","https://openalex.org/W7096181578","https://openalex.org/W2595728606","https://openalex.org/W2351835087","https://openalex.org/W1505396251"],"abstract_inverted_index":{"Color":[0],"has":[1],"been":[2],"widely":[3],"used":[4,38,117,148],"in":[5,30,53,83,109],"content-based":[6],"image":[7,19,92],"retrieval":[8],"(CBIR)":[9],"applications.":[10,124],"In":[11,101],"such":[12,71],"applications":[13,82],"the":[14,24,28,31,41,47,73,95,99,106,136,139],"color":[15,51,120],"properties":[16],"of":[17,27,49,64,70,75,89,98,138,157],"an":[18],"are":[20,94,116,142],"usually":[21],"characterized":[22],"by":[23],"probability":[25],"distribution":[26],"colors":[29],"image.":[32],"A":[33],"distance":[34,76],"measure":[35,40],"is":[36],"then":[37],"to":[39,55,118,146],"(dis-)similarity":[42],"between":[43,78],"images":[44],"based":[45],"on":[46],"descriptions":[48],"their":[50,81],"distributions":[52],"order":[54],"quickly":[56],"find":[57],"relevant":[58],"images.":[59],"The":[60],"development":[61],"and":[62,80,87,135,144],"investigation":[63],"statistical":[65],"methods":[66,126],"for":[67,122],"robust":[68],"representations":[69],"distributions,":[72],"construction":[74],"measures":[77],"them":[79],"efficient":[84,155],"retrieval,":[85],"browsing,":[86],"structuring":[88],"very":[90],"large":[91],"databases":[93],"main":[96],"contributions":[97],"thesis.":[100],"particular":[102],"we":[103],"have":[104],"addressed":[105],"following":[107],"problems":[108],"CBIR.":[110],"Firstly,":[111],"different":[112],"non-parametric":[113],"density":[114],"estimators":[115],"describe":[119],"information":[121],"CBIR":[123],"Kernel-based":[125],"using":[127],"nonorthogonal":[128],"bases":[129],"together":[130],"with":[131],"a":[132],"Gram-Schmidt":[133],"procedure":[134],"application":[137],"Fourier":[140],"transform":[141],"introduced":[143],"compared":[145],"previously":[147],"histogram-based":[149],"methods.":[150],"Our":[151],"experiments":[152],"show":[153],"that":[154],"use":[156],"kernel":[158]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2016-06-24T00:00:00"}