{"id":"https://openalex.org/W2084774224","doi":"https://doi.org/10.1145/1816041.1816075","title":"Weighting visual features with pseudo relevance feedback for CBIR","display_name":"Weighting visual features with pseudo relevance feedback for CBIR","publication_year":2010,"publication_date":"2010-07-05","ids":{"openalex":"https://openalex.org/W2084774224","doi":"https://doi.org/10.1145/1816041.1816075","mag":"2084774224"},"language":"en","primary_location":{"id":"doi:10.1145/1816041.1816075","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1816041.1816075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM International Conference on Image and Video 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/A5100326501","display_name":"Jian Chen","orcid":"https://orcid.org/0000-0003-4769-1526"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Chen","raw_affiliation_strings":["IBM Research - China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101928316","display_name":"Rui Ma","orcid":"https://orcid.org/0000-0002-8836-4217"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Ma","raw_affiliation_strings":["IBM Research - China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010426520","display_name":"Zhong Su","orcid":"https://orcid.org/0000-0003-2303-9787"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Su","raw_affiliation_strings":["IBM Research - China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210126794"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"220","last_page":"227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9843000173568726,"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/weighting","display_name":"Weighting","score":0.8118919730186462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7632352113723755},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.6958386301994324},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.606492280960083},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6014788150787354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5944381356239319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5794048309326172},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.5691477060317993},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5682948231697083},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5599126219749451},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.5433914661407471},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5312086343765259},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5295955538749695},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4427654445171356},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43116170167922974},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36693039536476135},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3441261053085327},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33677399158477783},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.06388214230537415}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8118919730186462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7632352113723755},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.6958386301994324},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.606492280960083},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6014788150787354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5944381356239319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5794048309326172},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.5691477060317993},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5682948231697083},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5599126219749451},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.5433914661407471},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5312086343765259},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5295955538749695},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4427654445171356},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43116170167922974},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36693039536476135},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3441261053085327},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33677399158477783},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.06388214230537415},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1816041.1816075","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1816041.1816075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM International Conference on Image and Video Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1654865708","https://openalex.org/W2020636921","https://openalex.org/W2027993732","https://openalex.org/W2046118959","https://openalex.org/W2046589280","https://openalex.org/W2081495776","https://openalex.org/W2087926565","https://openalex.org/W2096479579","https://openalex.org/W2100398441","https://openalex.org/W2105628432","https://openalex.org/W2110248009","https://openalex.org/W2110417309","https://openalex.org/W2111993661","https://openalex.org/W2121947440","https://openalex.org/W2127597232","https://openalex.org/W2134135198","https://openalex.org/W2138395288","https://openalex.org/W2140169211","https://openalex.org/W2140363548","https://openalex.org/W2151103935","https://openalex.org/W2158349345"],"related_works":["https://openalex.org/W1606474234","https://openalex.org/W1497114142","https://openalex.org/W1975659822","https://openalex.org/W2133641558","https://openalex.org/W2096561479","https://openalex.org/W2411245752","https://openalex.org/W2290071120","https://openalex.org/W2746816529","https://openalex.org/W2016310275","https://openalex.org/W2024252608"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"automatic":[4],"visual":[5,31,45,68,80,90,111],"feature":[6,57,91],"weighting":[7],"method":[8,19],"to":[9,22],"enhance":[10],"content-based":[11],"image":[12],"retrieval":[13],"(CBIR).":[14],"In":[15],"particular,":[16],"the":[17,29,42,120],"proposed":[18],"is":[20,63,83,93],"able":[21],"capture":[23],"user's":[24],"search":[25],"intention":[26],"by":[27,50,65,95],"identifying":[28],"important":[30],"features":[32,46,112],"located":[33],"at":[34],"region":[35],"of":[36,44,75,124],"interest.":[37],"Given":[38],"a":[39,51,56,66,73,86,96,105],"query":[40],"image,":[41],"importances":[43],"are":[47],"automatically":[48],"weighted":[49,110],"random":[52],"walk":[53],"algorithm":[54],"from":[55],"association":[58,61],"graph,":[59],"whose":[60,89],"strength":[62],"estimated":[64],"localized":[67],"word":[69,81],"co-occurrence":[70],"count":[71],"among":[72],"set":[74],"pseudo":[76],"relevance":[77],"feedbacks.":[78],"The":[79],"here":[82],"defined":[84],"with":[85,109],"bag-of-features":[87],"model":[88],"vocabulary":[92],"generated":[94],"k-means":[97],"clustering":[98],"algorithm.":[99],"For":[100],"quantitative":[101],"evaluation,":[102],"we":[103],"implement":[104],"prototype":[106],"CBIR":[107],"system":[108],"(WVF).":[113],"Extensive":[114],"experiments":[115],"on":[116],"CalTech-101":[117],"dataset":[118],"demonstrate":[119],"efficiency":[121],"and":[122],"effectiveness":[123],"WVF":[125],"for":[126],"CBIR.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
