{"id":"https://openalex.org/W2160227576","doi":"https://doi.org/10.1109/icassp.2005.1415453","title":"Relevance Feedback Learning With Feature Selection In Region-Based Image Retrieval","display_name":"Relevance Feedback Learning With Feature Selection In Region-Based Image Retrieval","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W2160227576","doi":"https://doi.org/10.1109/icassp.2005.1415453","mag":"2160227576"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://www.ee.columbia.edu/~wjiang/references/jiangicassp05.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063083038","display_name":"Wei Jiang","orcid":"https://orcid.org/0000-0003-4316-880X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"funder","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Wei Jiang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027584028","display_name":"Guihua Er","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"funder","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Guihua Er","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080722708","display_name":"Qionghai Dai","orcid":"https://orcid.org/0000-0001-7043-3061"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"funder","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Qionghai Dai","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101957691","display_name":"Lian Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147811","display_name":"Shenzhen Municipal People's Government","ror":"https://ror.org/05rcfc739","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210147811"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Lian Zhong","raw_affiliation_strings":["Hi-tech Industry Department, Development & Reform Bureau, Shenzhen Municipal Government, China"],"affiliations":[{"raw_affiliation_string":"Hi-tech Industry Department, Development & Reform Bureau, Shenzhen Municipal Government, China","institution_ids":["https://openalex.org/I4210147811"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101206842","display_name":"Yao Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147811","display_name":"Shenzhen Municipal People's Government","ror":"https://ror.org/05rcfc739","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210147811"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Yao Hou","raw_affiliation_strings":["Hi-tech Industry Department, Development & Reform Bureau, Shenzhen Municipal Government, China"],"affiliations":[{"raw_affiliation_string":"Hi-tech Industry Department, Development & Reform Bureau, Shenzhen Municipal Government, China","institution_ids":["https://openalex.org/I4210147811"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.227,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":9,"citation_normalized_percentile":{"value":0.684917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":81,"max":82},"biblio":{"volume":"2","issue":null,"first_page":"509","last_page":"512"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9999,"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":0.9999,"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":0.9995,"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":0.9528,"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/relevance-feedback","display_name":"Relevance Feedback","score":0.8245461},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting","score":0.6095934},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.6071171},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4835098},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-Based Image Retrieval","score":0.4689265},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance","score":0.45155653},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41884804}],"concepts":[{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.8245461},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.76621234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.74407166},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.7151305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6593006},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6476922},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6095934},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.6071171},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5388529},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.5303389},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4835098},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.4689265},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.46788755},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.45155653},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43512243},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41884804},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32568622},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/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}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.381.3423","pdf_url":"http://www.ee.columbia.edu/~wjiang/references/jiangicassp05.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.381.3423","pdf_url":"http://www.ee.columbia.edu/~wjiang/references/jiangicassp05.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":11,"referenced_works":["https://openalex.org/W1524408959","https://openalex.org/W2024046085","https://openalex.org/W2059975159","https://openalex.org/W2104019579","https://openalex.org/W2106582716","https://openalex.org/W2127353419","https://openalex.org/W2130660124","https://openalex.org/W2132204530","https://openalex.org/W2171140863","https://openalex.org/W2296349981","https://openalex.org/W2425246132"],"related_works":["https://openalex.org/W3155509388","https://openalex.org/W2573424097","https://openalex.org/W2496710287","https://openalex.org/W2387999798","https://openalex.org/W2379847178","https://openalex.org/W2290071120","https://openalex.org/W2186394444","https://openalex.org/W2089969684","https://openalex.org/W2031096531","https://openalex.org/W2008089766"],"abstract_inverted_index":{"Region-based":[0],"image":[1,26,44,62,146],"retrieval":[2,45,141,147],"and":[3,19,98,120],"relevance":[4,38,101],"feedback":[5,39,52,102],"are":[6],"two":[7],"important":[8],"methods":[9],"to":[10,110],"bridge":[11],"the":[12,15,20,33,37,42,77,83,113,117,127,134,140,144],"gap":[13],"between":[14],"low-level":[16],"visual":[17],"features":[18,115],"high-level":[21],"semantic":[22],"concepts":[23],"in":[24,85,106],"content-based":[25],"retrieval.":[27],"In":[28],"this":[29],"paper,":[30],"we":[31],"address":[32],"issue":[34],"of":[35,143],"introducing":[36],"mechanism":[40],"into":[41],"region-based":[43,61,79,145],"with":[46],"online":[47],"feature":[48,89,93],"selection":[49,94],"during":[50],"each":[51],"round.":[53],"Our":[54],"contribution":[55],"is":[56,64,74,96,104],"two-fold.":[57],"(1)":[58],"A":[59,92],"novel":[60],"representation":[63],"proposed.":[65],"Based":[66],"on":[67],"a":[68,71,86,107,122],"generative":[69],"model,":[70],"fuzzy":[72,118],"codebook":[73],"extracted":[75],"from":[76,116],"original":[78],"features,":[80],"which":[81],"represents":[82],"images":[84],"uniform":[87],"real-value":[88],"space.":[90],"(2)":[91],"criterion":[95],"developed":[97],"an":[99],"effective":[100],"algorithm":[103],"implemented":[105],"boosting":[108],"manner":[109],"simultaneously":[111],"select":[112],"optimal":[114],"codebook,":[119],"generate":[121],"strong":[123],"ensemble":[124],"classifier":[125],"over":[126],"selected":[128],"features.":[129],"Experimental":[130],"results":[131],"show":[132],"that":[133],"proposed":[135],"scheme":[136],"can":[137],"substantially":[138],"improve":[139],"performance":[142],"system.":[148]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2160227576","counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-04-23T09:29:44.802831","created_date":"2016-06-24"}