{"id":"https://openalex.org/W2022944081","doi":"https://doi.org/10.1145/1291233.1291279","title":"Video search re-ranking via multi-graph propagation","display_name":"Video search re-ranking via multi-graph propagation","publication_year":2007,"publication_date":"2007-09-29","ids":{"openalex":"https://openalex.org/W2022944081","doi":"https://doi.org/10.1145/1291233.1291279","mag":"2022944081"},"language":"en","primary_location":{"id":"doi:10.1145/1291233.1291279","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1291233.1291279","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th 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/A5100442542","display_name":"Jingjing Liu","orcid":"https://orcid.org/0009-0002-6277-5816"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingjing Liu","raw_affiliation_strings":["Nankai University, Tianjin, China","Nankai University, Tianjin, China)"],"affiliations":[{"raw_affiliation_string":"Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"Nankai University, Tianjin, China)","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012372031","display_name":"Wei Lai","orcid":"https://orcid.org/0000-0002-9385-4421"},"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":"Wei Lai","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/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"],"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/A5101082924","display_name":"Yalou Huang","orcid":"https://orcid.org/0000-0002-6573-1854"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yalou Huang","raw_affiliation_strings":["Nankai University, Tianjin, China","Nankai University, Tianjin, China)"],"affiliations":[{"raw_affiliation_string":"Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"Nankai University, Tianjin, China)","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100321089","display_name":"Shipeng Li","orcid":"https://orcid.org/0000-0001-5368-4256"},"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":"Shipeng Li","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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100442542"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":7.8906,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.97643567,"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":"208","last_page":"217"},"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval 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/T11714","display_name":"Multimodal Machine Learning Applications","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/T11439","display_name":"Video Analysis and Summarization","score":0.9980999827384949,"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":0.8302767872810364},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.6672857403755188},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.616736114025116},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5691338777542114},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.562761127948761},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.479672908782959},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4589496850967407},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4356454610824585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4008842706680298},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22671157121658325}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8302767872810364},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.6672857403755188},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.616736114025116},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5691338777542114},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.562761127948761},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.479672908782959},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4589496850967407},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4356454610824585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4008842706680298},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22671157121658325},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1291233.1291279","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1291233.1291279","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.117.7672","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.7672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.research.microsoft.com/~weilai/download/papers/VideoSearchReRanking_ACMMM07-liu.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.127.8383","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.127.8383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.research.microsoft.com/~xshua/publications/pdf/2007_ACMMM_VideoSearch.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W25524196","https://openalex.org/W39868865","https://openalex.org/W41139025","https://openalex.org/W1536716526","https://openalex.org/W1567472606","https://openalex.org/W1580033671","https://openalex.org/W1588637324","https://openalex.org/W1591244232","https://openalex.org/W1621596027","https://openalex.org/W1854214752","https://openalex.org/W1936465995","https://openalex.org/W1967160701","https://openalex.org/W1972442292","https://openalex.org/W1993008174","https://openalex.org/W1994271853","https://openalex.org/W2000636201","https://openalex.org/W2009484134","https://openalex.org/W2011632873","https://openalex.org/W2029295509","https://openalex.org/W2030018676","https://openalex.org/W2031602671","https://openalex.org/W2038721957","https://openalex.org/W2043909051","https://openalex.org/W2046624828","https://openalex.org/W2051492935","https://openalex.org/W2058475745","https://openalex.org/W2076470289","https://openalex.org/W2077122984","https://openalex.org/W2096041903","https://openalex.org/W2096900112","https://openalex.org/W2097579725","https://openalex.org/W2098034778","https://openalex.org/W2102500456","https://openalex.org/W2105416352","https://openalex.org/W2120417335","https://openalex.org/W2120887753","https://openalex.org/W2121227244","https://openalex.org/W2144080413","https://openalex.org/W2148603752","https://openalex.org/W2153677638","https://openalex.org/W2154455818","https://openalex.org/W2156909104","https://openalex.org/W2165612380","https://openalex.org/W2166776180","https://openalex.org/W2167247356","https://openalex.org/W2170344111","https://openalex.org/W2184848982","https://openalex.org/W2267570228","https://openalex.org/W2274964195","https://openalex.org/W2275272209","https://openalex.org/W2398329094","https://openalex.org/W2483476375","https://openalex.org/W2498293651","https://openalex.org/W2846936617","https://openalex.org/W2916453377","https://openalex.org/W2916567321","https://openalex.org/W2999905431","https://openalex.org/W4235505822","https://openalex.org/W4392051461","https://openalex.org/W6639055396","https://openalex.org/W6678425778","https://openalex.org/W6759319768"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W2150136235","https://openalex.org/W2053591227","https://openalex.org/W2041353081","https://openalex.org/W2581240705","https://openalex.org/W2900609923"],"abstract_inverted_index":{"This":[0],"paper1":[1],"is":[2,99,153],"concerned":[3],"with":[4,77,126],"the":[5,24,46,52,78,84,107,118,121,127,137,149],"problem":[6],"of":[7,27,75,120,139,158],"multimodal":[8],"fusion":[9],"in":[10],"video":[11,29,50,79,90,113,141],"search.":[12,30,142],"First,":[13],"we":[14,32,71],"employ":[15],"an":[16],"object-sensitive":[17,128],"approach":[18,37,124],"to":[19,22,38,105,136],"query":[20,129,160],"analysis":[21,130,145],"improve":[23],"baseline":[25,138],"result":[26,41],"text-based":[28,39,140],"Then,":[31],"propose":[33],"a":[34,73],"PageRank-like":[35,69],"graph-based":[36,122],"search":[40],"re-ranking.":[42],"To":[43],"better":[44],"exploit":[45],"underlying":[47],"relationship":[48],"between":[49,89],"shots,":[51],"proposed":[53,150],"re-ranking":[54,151],"scheme":[55],"simultaneously":[56],"leverages":[57],"textual":[58],"relevancy,":[59,62],"semantic":[60],"concept":[61],"and":[63,83,86,156,164],"low-level-feature-based":[64],"visual":[65,87],"similarity.":[66],"In":[67],"this":[68],"scheme,":[70],"construct":[72],"set":[74],"graphs":[76,104],"shots":[80,91],"as":[81,92],"vertexes,":[82],"conceptual":[85],"similarity":[88],"\"hyperlinks\".":[93],"A":[94],"modified":[95],"topic-sensitive":[96],"PageRank":[97],"algorithm":[98],"then":[100],"applied":[101],"on":[102],"these":[103],"propagate":[106],"relevance":[108],"scores":[109],"through":[110],"all":[111],"related":[112],"shots.":[114],"Experimental":[115],"results":[116],"verify":[117],"effectiveness":[119],"propagation":[123],"combined":[125],"approach,":[131],"which":[132],"brings":[133],"significant":[134],"improvement":[135],"Our":[143],"experimental":[144],"also":[146],"indicates":[147],"that":[148],"method":[152],"highly":[154],"generic":[155],"independent":[157],"different":[159],"classes,":[161],"training":[162],"data,":[163],"human":[165],"interference.":[166]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":9}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
