{"id":"https://openalex.org/W2041062763","doi":"https://doi.org/10.1109/tmm.2011.2111363","title":"Bayesian Visual Reranking","display_name":"Bayesian Visual Reranking","publication_year":2011,"publication_date":"2011-02-03","ids":{"openalex":"https://openalex.org/W2041062763","doi":"https://doi.org/10.1109/tmm.2011.2111363","mag":"2041062763"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2011.2111363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2011.2111363","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5018948151","display_name":"Xinmie Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinmie Tian","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology, Hefei, China","Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, , China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100860846","display_name":"Linjun Yang","orcid":null},"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":false,"raw_author_name":"Linjun Yang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"raw_orcid":null,"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/A5075880303","display_name":"Jingdong Wang","orcid":"https://orcid.org/0000-0002-4888-4445"},"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":false,"raw_author_name":"Jingdong Wang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"raw_orcid":null,"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/A5100374734","display_name":"Xiuqing Wu","orcid":"https://orcid.org/0000-0001-9287-0481"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuqing Wu","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology, Hefei, China","Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, , China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024965898","display_name":"Xian\u2010Sheng Hua","orcid":"https://orcid.org/0000-0002-8232-5049"},"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":false,"raw_author_name":"Xian-Sheng Hua","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"raw_orcid":null,"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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6344,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.95704503,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"13","issue":"4","first_page":"639","last_page":"652"},"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":0.9993000030517578,"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":0.9975000023841858,"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":0.7916575074195862},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7023570537567139},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6881985664367676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6014086008071899},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5933658480644226},{"id":"https://openalex.org/keywords/visual-search","display_name":"Visual search","score":0.5312535166740417},{"id":"https://openalex.org/keywords/conditional-probability","display_name":"Conditional probability","score":0.4508247375488281},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3918267488479614},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38525426387786865},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36776018142700195},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14549052715301514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12524718046188354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7916575074195862},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7023570537567139},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6881985664367676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6014086008071899},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5933658480644226},{"id":"https://openalex.org/C158495155","wikidata":"https://www.wikidata.org/wiki/Q2369151","display_name":"Visual search","level":2,"score":0.5312535166740417},{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.4508247375488281},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3918267488479614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38525426387786865},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36776018142700195},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14549052715301514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12524718046188354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2011.2111363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2011.2111363","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5799999833106995,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W22751559","https://openalex.org/W1484670493","https://openalex.org/W1563088657","https://openalex.org/W1565630510","https://openalex.org/W1572472426","https://openalex.org/W1578226009","https://openalex.org/W1589050831","https://openalex.org/W1860923984","https://openalex.org/W1970889138","https://openalex.org/W1972442292","https://openalex.org/W1985554184","https://openalex.org/W2020133434","https://openalex.org/W2022944081","https://openalex.org/W2023170106","https://openalex.org/W2048318462","https://openalex.org/W2062903088","https://openalex.org/W2078570228","https://openalex.org/W2082713390","https://openalex.org/W2090912237","https://openalex.org/W2103723258","https://openalex.org/W2104929264","https://openalex.org/W2105058102","https://openalex.org/W2108862644","https://openalex.org/W2117876453","https://openalex.org/W2118509786","https://openalex.org/W2118573581","https://openalex.org/W2120477910","https://openalex.org/W2130660124","https://openalex.org/W2138652032","https://openalex.org/W2139823104","https://openalex.org/W2154455818","https://openalex.org/W2155099190","https://openalex.org/W2171073842","https://openalex.org/W2171210830","https://openalex.org/W2323834113","https://openalex.org/W2988119488","https://openalex.org/W3015962962","https://openalex.org/W4251560691","https://openalex.org/W4301891957","https://openalex.org/W6600931886","https://openalex.org/W6633804054","https://openalex.org/W6634070576","https://openalex.org/W6634576794","https://openalex.org/W6634971860","https://openalex.org/W6638928917","https://openalex.org/W6675471587","https://openalex.org/W6677441152","https://openalex.org/W6677675441","https://openalex.org/W6680434193","https://openalex.org/W6682494755"],"related_works":["https://openalex.org/W1978999997","https://openalex.org/W1968716078","https://openalex.org/W1970358776","https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2051216071","https://openalex.org/W2798198862","https://openalex.org/W2915512527","https://openalex.org/W4311800528","https://openalex.org/W1546381263"],"abstract_inverted_index":{"Visual":[0],"reranking":[1,55,121,125],"has":[2],"been":[3],"proven":[4],"effective":[5],"to":[6,18,79,104,170],"refine":[7],"text-based":[8,29,87],"video":[9,184],"and":[10,35,45,52,86,185],"image":[11,186],"search":[12,88,187],"results.":[13],"It":[14],"utilizes":[15],"visual":[16,36,46,54,66,96,117,120,129,163,198],"information":[17,47,73,97],"recover":[19],"\u201ctrue\u201d":[20],"ranking":[21,93,107,133,138,151],"list":[22],"from":[23,48],"the":[24,43,49,61,71,81,106,123,137,150,155,172,192],"noisy":[25],"one":[26],"generated":[27],"by":[28,31,127],"search,":[30],"incorporating":[32],"both":[33,183],"textual":[34,44,72],"information.":[37],"In":[38,68],"this":[39,69],"paper,":[40],"we":[41,142,165],"model":[42,136],"probabilistic":[50],"perspective":[51],"formulate":[53],"as":[56,76,100],"an":[57],"optimization":[58],"problem":[59],"in":[60,157],"Bayesian":[62,65,119,197],"framework,":[63],"termed":[64],"reranking.":[67,199],"method,":[70],"is":[74,91,98,115],"modeled":[75,99],"a":[77,101,144],"likelihood,":[78],"reflect":[80],"disagreement":[82,156],"between":[83],"reranked":[84],"results":[85,89,126,190],"which":[90,114,148],"called":[92,116],"distance.":[94,134],"The":[95],"conditional":[102],"prior,":[103],"indicate":[105],"score":[108],"consistency":[109,130],"among":[110],"visually":[111],"similar":[112],"samples":[113],"consistency.":[118],"derives":[122],"best":[124,173],"maximizing":[128],"while":[131],"minimizing":[132],"To":[135],"distance":[139,152],"more":[140],"precisely,":[141],"propose":[143],"novel":[145],"pair-wise":[146,160],"method":[147],"measure":[149],"based":[153],"on":[154,182],"terms":[158],"of":[159,194],"orders.":[161],"For":[162],"consistency,":[164],"study":[166],"three":[167],"different":[168],"regularizers":[169],"mine":[171],"way":[174],"for":[175],"its":[176],"modeling.":[177],"We":[178],"conduct":[179],"extensive":[180],"experiments":[181],"datasets.":[188],"Experimental":[189],"demonstrate":[191],"effectiveness":[193],"our":[195],"proposed":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}