{"id":"https://openalex.org/W2126532599","doi":"https://doi.org/10.1109/icme.2003.1220917","title":"An efficient memorization scheme for relevance feedback in image retrieval","display_name":"An efficient memorization scheme for relevance feedback in image retrieval","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2126532599","doi":"https://doi.org/10.1109/icme.2003.1220917","mag":"2126532599"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2003.1220917","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icme.2003.1220917","pdf_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1220917","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1220917","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100433957","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-7528-420X"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001183492","display_name":"Qian Fang","orcid":"https://orcid.org/0000-0001-6139-5104"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Fang Qian","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","[Sch. of Comput. Sci., Carnegie, Mellon Univ., Pittsburgh, PA, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Sch. of Comput. Sci., Carnegie, Mellon Univ., Pittsburgh, PA, USA]","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061131131","display_name":"Mingjing Li","orcid":"https://orcid.org/0000-0002-5290-8104"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Mingjing Li","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","[Sch. of Comput. Sci., Carnegie, Mellon Univ., Pittsburgh, PA, USA]"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"[Sch. of Comput. Sci., Carnegie, Mellon Univ., Pittsburgh, PA, USA]","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100397026","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0003-1991-119X"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]},{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["CN","TW"],"is_corresponding":false,"raw_author_name":"Hong-Jiang Zhang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","[Computer Science & Information Engineering, National Taiwan University, Taipei, Taiwan]"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"[Computer Science & Information Engineering, National Taiwan University, Taipei, Taiwan]","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100433957"],"corresponding_institution_ids":["https://openalex.org/I4210113369"],"apc_list":null,"apc_paid":null,"fwci":1.0774,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79431606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"I","last_page":"313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/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/T10627","display_name":"Advanced Image and Video Retrieval 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/T12072","display_name":"Machine Learning and Algorithms","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8951544165611267},{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.7884400486946106},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7762002944946289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7749085426330566},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7305018901824951},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7135557532310486},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.6264058947563171},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5929071307182312},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5236104130744934},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.48023492097854614},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.44042694568634033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38050174713134766},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3786085247993469},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33352357149124146},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.18789300322532654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13270795345306396}],"concepts":[{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.8951544165611267},{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.7884400486946106},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7762002944946289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7749085426330566},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7305018901824951},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7135557532310486},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.6264058947563171},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5929071307182312},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5236104130744934},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.48023492097854614},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.44042694568634033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38050174713134766},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3786085247993469},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33352357149124146},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.18789300322532654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13270795345306396},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2003.1220917","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icme.2003.1220917","pdf_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1220917","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.9.5116","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.9.5116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/users/leizhang/Paper/ICME03.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1109/icme.2003.1220917","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icme.2003.1220917","pdf_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1220917","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2126532599.pdf","grobid_xml":"https://content.openalex.org/works/W2126532599.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1586847502","https://openalex.org/W1607838481","https://openalex.org/W1960014134","https://openalex.org/W1981304974","https://openalex.org/W1983071923","https://openalex.org/W2001301211","https://openalex.org/W2017257332","https://openalex.org/W2022743991","https://openalex.org/W2030640132","https://openalex.org/W2104052971","https://openalex.org/W2138079527","https://openalex.org/W2139399907","https://openalex.org/W2150827897","https://openalex.org/W2155099190","https://openalex.org/W4237065586","https://openalex.org/W6634991203","https://openalex.org/W6646058542","https://openalex.org/W6656183398","https://openalex.org/W6658087554","https://openalex.org/W6675354903","https://openalex.org/W6682441133"],"related_works":["https://openalex.org/W2393950843","https://openalex.org/W2034539438","https://openalex.org/W2124645781","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/W1988737220"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,41,62,65,72,75,105,117,126],"novel":[3],"approach":[4,102],"to":[5,47,89],"memorizing":[6],"content":[7],"relevance":[8,12,16],"information":[9],"accumulated":[10],"in":[11,18,64],"feedback":[13],"sessions":[14],"(historical":[15],"feedback)":[17],"image":[19,39,57,78,121],"retrieval.":[20],"It":[21],"is":[22,45,58,79,87],"based":[23],"on":[24,82,125],"the":[25,91,95,100,132,139],"idea":[26],"that":[27],"by":[28,94],"storing":[29],"identification":[30],"numbers":[31],"of":[32,120,128,138],"several":[33],"representative":[34],"images":[35,130],"for":[36,74,109,116],"each":[37,110],"positive":[38],"after":[40],"query":[42,63],"session,":[43],"it":[44,112],"possible":[46],"provide":[48],"more":[49],"precise":[50],"and":[51,135],"diverse":[52],"retrieval":[53],"results":[54,124],"when":[55],"this":[56],"used":[59],"later":[60],"as":[61],"new":[66],"search":[67],"session.":[68],"To":[69],"do":[70],"so,":[71],"criterion":[73],"\"good\"":[76],"buddy":[77,97],"proposed.":[80],"Based":[81],"such":[83],"criterion,":[84],"an":[85],"algorithm":[86],"designed":[88],"maximize":[90],"space":[92,108],"spanned":[93],"selected":[96],"images.":[98],"Since":[99],"proposed":[101,140],"requires":[103],"only":[104],"constant":[106],"storage":[107],"image,":[111],"has":[113],"good":[114,136],"scalability":[115,137],"large":[118],"size":[119],"database.":[122],"Experimental":[123],"database":[127],"10,000":[129],"show":[131],"high":[133],"efficiency":[134],"memorization":[141],"scheme.":[142]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}