{"id":"https://openalex.org/W2104477671","doi":"https://doi.org/10.1109/sibgra.2003.1241006","title":"Exploration and search-by-similarity in CBIR","display_name":"Exploration and search-by-similarity in CBIR","publication_year":2004,"publication_date":"2004-03-02","ids":{"openalex":"https://openalex.org/W2104477671","doi":"https://doi.org/10.1109/sibgra.2003.1241006","mag":"2104477671"},"language":"en","primary_location":{"id":"doi:10.1109/sibgra.2003.1241006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgra.2003.1241006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003)","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/A5108118084","display_name":"Matthieu Cord","orcid":"https://orcid.org/0000-0002-0627-5844"},"institutions":[{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142324","display_name":"CY Cergy Paris Universit\u00e9","ror":"https://ror.org/043htjv09","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142324"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"M. Cord","raw_affiliation_strings":["ETIS (CNRS UMR-8051), University of Cergy-Pontoise, ENSEA, Cergy-Pontoise, France","ENSEA, Univ. of Cergy-Pontoise, France"],"affiliations":[{"raw_affiliation_string":"ETIS (CNRS UMR-8051), University of Cergy-Pontoise, ENSEA, Cergy-Pontoise, France","institution_ids":["https://openalex.org/I86175216","https://openalex.org/I4210142324","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ENSEA, Univ. of Cergy-Pontoise, France","institution_ids":["https://openalex.org/I86175216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055422536","display_name":"J\u00e9r\u00f4me Fournier","orcid":null},"institutions":[{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142324","display_name":"CY Cergy Paris Universit\u00e9","ror":"https://ror.org/043htjv09","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142324"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Fournier","raw_affiliation_strings":["ETIS (CNRS UMR-8051), University of Cergy-Pontoise, ENSEA, Cergy-Pontoise, France","ENSEA, Univ. of Cergy-Pontoise, France"],"affiliations":[{"raw_affiliation_string":"ETIS (CNRS UMR-8051), University of Cergy-Pontoise, ENSEA, Cergy-Pontoise, France","institution_ids":["https://openalex.org/I86175216","https://openalex.org/I4210142324","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ENSEA, Univ. of Cergy-Pontoise, France","institution_ids":["https://openalex.org/I86175216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074950150","display_name":"Sylvie Philipp\u2010Foliguet","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142324","display_name":"CY Cergy Paris Universit\u00e9","ror":"https://ror.org/043htjv09","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142324"]},{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Philipp-Foliguet","raw_affiliation_strings":["ETIS (CNRS UMR-8051), University of Cergy-Pontoise, ENSEA, Cergy-Pontoise, France","ENSEA, Univ. of Cergy-Pontoise, France"],"affiliations":[{"raw_affiliation_string":"ETIS (CNRS UMR-8051), University of Cergy-Pontoise, ENSEA, Cergy-Pontoise, France","institution_ids":["https://openalex.org/I86175216","https://openalex.org/I4210142324","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ENSEA, Univ. of Cergy-Pontoise, France","institution_ids":["https://openalex.org/I86175216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108118084"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210142324","https://openalex.org/I86175216"],"apc_list":null,"apc_paid":null,"fwci":0.5466,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.69710303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"175","last_page":"182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9987999796867371,"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/T11106","display_name":"Data Management and Algorithms","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/ranking","display_name":"Ranking (information retrieval)","score":0.7770354747772217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7745043039321899},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6898670196533203},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6308965682983398},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6253214478492737},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6005233526229858},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4692034125328064},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46791771054267883},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.46673569083213806},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4462159276008606},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42048177123069763},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4120102524757385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2957419455051422}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7770354747772217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7745043039321899},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6898670196533203},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6308965682983398},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6253214478492737},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6005233526229858},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4692034125328064},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46791771054267883},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.46673569083213806},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4462159276008606},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42048177123069763},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4120102524757385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2957419455051422},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sibgra.2003.1241006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgra.2003.1241006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003)","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":13,"referenced_works":["https://openalex.org/W592332","https://openalex.org/W287086143","https://openalex.org/W1524408959","https://openalex.org/W1621745685","https://openalex.org/W1794185359","https://openalex.org/W1985659105","https://openalex.org/W2006335202","https://openalex.org/W2100729871","https://openalex.org/W2100911004","https://openalex.org/W2101075635","https://openalex.org/W2155099190","https://openalex.org/W6600025797","https://openalex.org/W6638209768"],"related_works":["https://openalex.org/W3024364549","https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W1940044583","https://openalex.org/W2806903871","https://openalex.org/W4320802053","https://openalex.org/W2145721853","https://openalex.org/W2279968534"],"abstract_inverted_index":{"We":[0,22],"deal":[1],"with":[2],"content-based":[3],"image":[4,59],"indexing":[5],"and":[6,40,94],"category":[7],"retrieval":[8,26],"in":[9,75,90],"general":[10,85],"databases.":[11],"When":[12],"large":[13],"categories":[14],"are":[15],"searched,":[16],"systems":[17],"must":[18],"explore":[19],"the":[20,68,76],"database.":[21],"introduce":[23],"an":[24],"interactive":[25],"strategy":[27,47],"designed":[28],"for":[29,67],"database":[30,86],"exploration.":[31],"The":[32,45],"technique":[33],"is":[34,54,72,81],"based":[35,48],"on":[36,49,83],"a":[37,41,50,57,84],"compound":[38],"query":[39],"dedicated":[42],"similarity":[43,51,69],"function.":[44],"usual":[46],"score":[52],"ranking":[53],"replaced":[55],"by":[56],"stochastic":[58],"selection":[60],"process.":[61],"A":[62,78],"competition":[63],"between":[64],"feature":[65],"spaces":[66],"measure":[70],"refinement":[71],"also":[73],"included":[74],"strategy.":[77],"quality":[79],"assessment":[80],"realized":[82],"of":[87],"6000":[88],"images":[89],"order":[91],"to":[92],"illustrate":[93],"validate":[95],"our":[96],"approach.":[97]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}