{"id":"https://openalex.org/W2054210450","doi":"https://doi.org/10.1145/1743384.1743434","title":"Learning to rank for content-based image retrieval","display_name":"Learning to rank for content-based image retrieval","publication_year":2010,"publication_date":"2010-03-29","ids":{"openalex":"https://openalex.org/W2054210450","doi":"https://doi.org/10.1145/1743384.1743434","mag":"2054210450"},"language":"en","primary_location":{"id":"doi:10.1145/1743384.1743434","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1743384.1743434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the international conference on Multimedia information retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111764037","display_name":"Fabio F. Faria","orcid":null},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fabio F. Faria","raw_affiliation_strings":["Institute of Computing/University of Campinas, Campinas-SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing/University of Campinas, Campinas-SP, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086714399","display_name":"Adriano Veloso","orcid":"https://orcid.org/0000-0002-9177-4954"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Adriano Veloso","raw_affiliation_strings":["Federal University of Minas Gerais, Belo Horizonte-MG, Brazil","Federal University of Minas Gerais, Belo Horizonte/MG, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Minas Gerais, Belo Horizonte-MG, Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Federal University of Minas Gerais, Belo Horizonte/MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091689931","display_name":"Humberto Mossri de Almeida","orcid":null},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Humberto M. Almeida","raw_affiliation_strings":["Federal University of Campinas, Belo Horizonte-MG, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Campinas, Belo Horizonte-MG, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051880838","display_name":"Eduardo Valle","orcid":"https://orcid.org/0000-0001-5396-9868"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eduardo Valle","raw_affiliation_strings":["Institute of Computing/University of Campinas, Campinas-SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing/University of Campinas, Campinas-SP, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087058987","display_name":"Ricardo da Silva Torres","orcid":"https://orcid.org/0000-0001-9772-263X"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ricardo da S. Torres","raw_affiliation_strings":["Institute of Computing/University of Campinas, Campinas-SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing/University of Campinas, Campinas-SP, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046370637","display_name":"Marcos Andr\u00e9 Gon\u00e7alves","orcid":"https://orcid.org/0000-0002-2075-3363"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcos A. Gon\u00e7alves","raw_affiliation_strings":["Federal University of Minas Gerais, Belo Horizonte-MG, Brazil","Federal University of Minas Gerais, Belo Horizonte/MG, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Minas Gerais, Belo Horizonte-MG, Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Federal University of Minas Gerais, Belo Horizonte/MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015728115","display_name":"Wagner Meira","orcid":"https://orcid.org/0000-0002-2614-2723"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Wagner Meira","raw_affiliation_strings":["Federal University of Minas Gerais, Belo Horizonte-MG, Brazil","Federal University of Minas Gerais, Belo Horizonte/MG, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Minas Gerais, Belo Horizonte-MG, Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Federal University of Minas Gerais, Belo Horizonte/MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"285","last_page":"294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9980999827384949,"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/T10057","display_name":"Face and Expression Recognition","score":0.9696000218391418,"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":0.8286757469177246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.761809229850769},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7074189186096191},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.700501024723053},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5867968797683716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5540207028388977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5501452684402466},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4397212862968445},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.42607951164245605},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4083714485168457},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3836503326892853},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3481408953666687},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3299354910850525},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14940795302391052}],"concepts":[{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.8286757469177246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.761809229850769},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7074189186096191},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.700501024723053},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5867968797683716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5540207028388977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5501452684402466},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4397212862968445},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.42607951164245605},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4083714485168457},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3836503326892853},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3481408953666687},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3299354910850525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14940795302391052},{"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":"doi:10.1145/1743384.1743434","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1743384.1743434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the international conference on Multimedia information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.192.7666","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.192.7666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dcc.ufmg.br/%7Eadrianov/papers/MIR10/mir10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4300000071525574,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"},{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W41649822","https://openalex.org/W48298789","https://openalex.org/W1492713888","https://openalex.org/W1576818901","https://openalex.org/W1585743408","https://openalex.org/W1586847502","https://openalex.org/W1854948231","https://openalex.org/W1917380066","https://openalex.org/W1965401349","https://openalex.org/W1965657003","https://openalex.org/W1969294188","https://openalex.org/W1973500996","https://openalex.org/W1973871483","https://openalex.org/W2008228843","https://openalex.org/W2029977689","https://openalex.org/W2033769372","https://openalex.org/W2035040440","https://openalex.org/W2035720976","https://openalex.org/W2037343806","https://openalex.org/W2039388884","https://openalex.org/W2047221353","https://openalex.org/W2056282082","https://openalex.org/W2057256380","https://openalex.org/W2085419825","https://openalex.org/W2087347434","https://openalex.org/W2087926565","https://openalex.org/W2097092269","https://openalex.org/W2101098151","https://openalex.org/W2105568170","https://openalex.org/W2109506130","https://openalex.org/W2111679734","https://openalex.org/W2111993661","https://openalex.org/W2115729625","https://openalex.org/W2118938540","https://openalex.org/W2125398996","https://openalex.org/W2127176025","https://openalex.org/W2129245267","https://openalex.org/W2160893340","https://openalex.org/W2163352848","https://openalex.org/W2166049352","https://openalex.org/W2166559705","https://openalex.org/W2171235719","https://openalex.org/W2537567031","https://openalex.org/W2914885528","https://openalex.org/W2988119488","https://openalex.org/W4232041434","https://openalex.org/W4251740737","https://openalex.org/W6634991203","https://openalex.org/W7027716524"],"related_works":["https://openalex.org/W2315491162","https://openalex.org/W2562198007","https://openalex.org/W2368840343","https://openalex.org/W2031468273","https://openalex.org/W2370100764","https://openalex.org/W4297816538","https://openalex.org/W3160516639","https://openalex.org/W2187479119","https://openalex.org/W2073542340","https://openalex.org/W3127142483"],"abstract_inverted_index":{"In":[0,73],"Content-based":[1],"Image":[2],"Retrieval":[3],"(CBIR),":[4],"accurately":[5],"ranking":[6,23,175],"the":[7,18,45,52,134,173,198,203,209,213,219],"returned":[8,38],"images":[9,39],"is":[10,30,57],"of":[11,200,221],"paramount":[12],"importance,":[13],"since":[14],"users":[15],"consider":[16],"mostly":[17],"topmost":[19],"results.":[20],"The":[21,92,159],"typical":[22,174],"strategy":[24,56,176],"used":[25,126,181],"by":[26,68,206,212],"many":[27],"CBIR":[28],"systems":[29],"to":[31,44,85,95,133,172],"employ":[32],"image":[33,47,71,117,147],"content":[34,118],"descriptors,":[35],"so":[36],"that":[37,40,83,163],"are":[41,48,98,125,180],"most":[42],"similar":[43],"query":[46],"placed":[49],"higher":[50],"in":[51,177,182,187],"rank.":[53],"While":[54],"this":[55,74,78],"well":[58],"accepted":[59],"and":[60,80,112,122,129,145,152,157,190,208],"widely":[61],"used,":[62],"improved":[63],"results":[64,161,204,210],"may":[65],"be":[66],"obtained":[67],"combining":[69],"multiple":[70],"descriptors.":[72,91],"paper":[75],"we":[76],"explore":[77],"idea,":[79],"introduce":[81],"algorithms":[82,97,166],"learn":[84],"combine":[86],"information":[87],"coming":[88],"from":[89],"different":[90],"proposed":[93],"learning":[94,103,135,165],"rank":[96],"based":[99],"on":[100],"three":[101],"diverse":[102],"techniques:":[104],"Support":[105],"Vector":[106],"Machines":[107],"(CBIR-SVM),":[108],"Genetic":[109],"Programming":[110],"(CBIR-GP),":[111],"Association":[113],"Rules":[114],"(CBIR-AR).":[115],"Eighteen":[116],"descriptors":[119,179],"(color,":[120],"texture,":[121],"shape":[123],"information)":[124],"as":[127,131],"input":[128],"provided":[130,205,211],"training":[132],"algorithms.":[136],"We":[137,184],"performed":[138],"a":[139],"systematic":[140],"evaluation":[141,154],"involving":[142],"two":[143,153,215],"complex":[144],"heterogeneous":[146],"databases":[148],"(Corel":[149],"e":[150],"Caltech)":[151],"measures":[155],"(Precision":[156],"MAP).":[158],"empirical":[160],"show":[162],"all":[164],"provide":[167],"significant":[168],"gains":[169],"when":[170],"compared":[171],"which":[178,217],"isolation.":[183],"concluded":[185],"that,":[186],"general,":[188],"CBIR-AR":[189,207],"CBIR-GP":[191],"outperforms":[192],"CBIR-SVM.":[193],"A":[194],"fine-grained":[195],"analysis":[196],"revealed":[197],"lack":[199],"correlation":[201],"between":[202],"other":[214],"algorithms,":[216],"indicates":[218],"opportunity":[220],"an":[222],"advantageous":[223],"hybrid":[224],"approach.":[225]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":11}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
