{"id":"https://openalex.org/W2020133434","doi":"https://doi.org/10.1145/1180639.1180789","title":"Diversifying the image retrieval results","display_name":"Diversifying the image retrieval results","publication_year":2006,"publication_date":"2006-10-23","ids":{"openalex":"https://openalex.org/W2020133434","doi":"https://doi.org/10.1145/1180639.1180789","mag":"2020133434"},"language":"en","primary_location":{"id":"doi:10.1145/1180639.1180789","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1180639.1180789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM international conference on Multimedia","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/A5032822817","display_name":"Kai Song","orcid":null},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Kai Song","raw_affiliation_strings":["Chinese Academy of Science"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Science","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023918894","display_name":"Yonghong Tian","orcid":"https://orcid.org/0000-0002-2978-5935"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yonghong Tian","raw_affiliation_strings":["Chinese Academy of Science"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Science","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068808118","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-5087-8351"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN","TW"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["Chinese Academy of Science &amp; Peking University","Chinese Academy of Science & Peking University#TAB#"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Science &amp; Peking University","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I84653119"]},{"raw_affiliation_string":"Chinese Academy of Science & Peking University#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058066577","display_name":"Tiejun Huang","orcid":"https://orcid.org/0000-0002-4234-6099"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiejun Huang","raw_affiliation_strings":["Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032822817"],"corresponding_institution_ids":["https://openalex.org/I84653119"],"apc_list":null,"apc_paid":null,"fwci":5.375,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":{"value":0.96172473,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"707","last_page":"710"},"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":0.9995999932289124,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9884999990463257,"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/computer-science","display_name":"Computer science","score":0.8232158422470093},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.8007986545562744},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7490255236625671},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7458460330963135},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6353158950805664},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6276249885559082},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6035503149032593},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3749806880950928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23684167861938477}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8232158422470093},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.8007986545562744},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7490255236625671},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7458460330963135},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6353158950805664},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6276249885559082},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6035503149032593},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3749806880950928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23684167861938477},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1180639.1180789","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1180639.1180789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.88.1226","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.88.1226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.jdl.ac.cn/doc/2006/Diversifying the Image Retrieval Results.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1592225080","https://openalex.org/W1666447063","https://openalex.org/W1845402413","https://openalex.org/W1983071923","https://openalex.org/W2011670903","https://openalex.org/W2026693436","https://openalex.org/W2063049279","https://openalex.org/W2082453965","https://openalex.org/W2083305840","https://openalex.org/W2107976605","https://openalex.org/W2126184790","https://openalex.org/W2137918516","https://openalex.org/W2151167738","https://openalex.org/W2155912844","https://openalex.org/W2161208901","https://openalex.org/W3138773240"],"related_works":["https://openalex.org/W2085384747","https://openalex.org/W2088166309","https://openalex.org/W1891216533","https://openalex.org/W4312133475","https://openalex.org/W4238976562","https://openalex.org/W2150136235","https://openalex.org/W2053591227","https://openalex.org/W2581240705","https://openalex.org/W2041353081","https://openalex.org/W2568183987"],"abstract_inverted_index":{"In":[0,60],"the":[1,13,92,105,120,131,141,165],"area":[2],"of":[3,97,133,168,173],"image":[4],"retrieval,":[5],"post-retrieval":[6],"processing":[7],"is":[8,71,88,161],"often":[9],"used":[10],"to":[11,16,55,73,90,112,130,139],"refine":[12],"retrieval":[14,78,169],"results":[15,47,143,151,170],"better":[17],"satisfy":[18],"users'":[19,57],"requirements.":[20],"Previous":[21],"methods":[22],"mainly":[23],"focus":[24],"on":[25,67,152],"presenting":[26],"users":[27,35],"with":[28,48],"relevant":[29,46],"results.":[30,79],"However,":[31],"in":[32,77,104,145,163],"most":[33],"cases,":[34],"cannot":[36],"clearly":[37],"present":[38],"their":[39],"requirements":[40],"by":[41],"several":[42],"query":[43],"words.":[44],"Therefore,":[45],"rich":[49,113,127],"topic":[50,68,75,146,166],"coverage":[51,76,147,167],"are":[52,101,107,116,137],"more":[53,125],"likely":[54],"meet":[56],"ambiguous":[58],"needs.":[59],"this":[61],"paper,":[62],"a":[63,81,95],"re-ranking":[64],"method":[65],"based":[66],"richness":[69],"analysis":[70],"proposed":[72,89,159],"enrich":[74],"Furthermore,":[80],"quantitative":[82],"criterion":[83],"called":[84],"diversity":[85],"scores":[86],"(DS)":[87],"evaluate":[91,140],"improvement.":[93],"Given":[94],"set":[96,106],"images,":[98],"topics":[99,114,123,128],"that":[100,115,157],"rarely":[102],"included":[103],"scarce":[108],"topics,":[109],"as":[110],"oppose":[111],"widely":[117],"distributed":[118],"among":[119],"set.":[121],"Scarce":[122],"contribute":[124],"than":[126],"do":[129],"DS":[132],"images.":[134],"Five":[135],"researchers":[136],"invited":[138],"re-ranked":[142],"both":[144],"and":[148],"relevance.":[149,174],"Experimental":[150],"over":[153],"20,000":[154],"images":[155],"demonstrate":[156],"our":[158],"approach":[160],"effective":[162],"improving":[164],"without":[171],"loss":[172]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
