{"id":"https://openalex.org/W1994792918","doi":"https://doi.org/10.1145/2393347.2396328","title":"Image tag re-ranking by coupled probability transition","display_name":"Image tag re-ranking by coupled probability transition","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W1994792918","doi":"https://doi.org/10.1145/2393347.2396328","mag":"1994792918"},"language":"en","primary_location":{"id":"doi:10.1145/2393347.2396328","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393347.2396328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th 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/A5055381291","display_name":"Jie Xiao","orcid":"https://orcid.org/0000-0001-6004-218X"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jie Xiao","raw_affiliation_strings":["University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046805800","display_name":"Wengang Zhou","orcid":"https://orcid.org/0000-0003-1690-9836"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wengang Zhou","raw_affiliation_strings":["University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445616","display_name":"Xia Li","orcid":"https://orcid.org/0000-0003-2284-1700"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xia Li","raw_affiliation_strings":["University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["Hefei University of Technology, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100393506","display_name":"Qi Tian","orcid":"https://orcid.org/0000-0002-7252-5047"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi Tian","raw_affiliation_strings":["University of Texas at San Antonio, San Antonio, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055381291"],"corresponding_institution_ids":["https://openalex.org/I45438204"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.07307087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"849","last_page":"852"},"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":0.9998999834060669,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7675877809524536},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7316510677337646},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6674688458442688},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6547162532806396},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.553667426109314},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5245887637138367},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4978640079498291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4609681963920593},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4499359130859375},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4156394302845001},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3339235186576843}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7675877809524536},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7316510677337646},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6674688458442688},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6547162532806396},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.553667426109314},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5245887637138367},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4978640079498291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4609681963920593},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4499359130859375},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4156394302845001},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3339235186576843},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":1,"locations":[{"id":"doi:10.1145/2393347.2396328","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393347.2396328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1667302927","https://openalex.org/W1973755423","https://openalex.org/W2007972815","https://openalex.org/W2027922120","https://openalex.org/W2029295509","https://openalex.org/W2069870183","https://openalex.org/W2090497871","https://openalex.org/W2118355530","https://openalex.org/W2118886759","https://openalex.org/W2133671054","https://openalex.org/W2141691531","https://openalex.org/W2147152072","https://openalex.org/W2160663313","https://openalex.org/W2165232124","https://openalex.org/W2913081710","https://openalex.org/W6684277814"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2085384747","https://openalex.org/W2077542787","https://openalex.org/W2150136235","https://openalex.org/W2053591227","https://openalex.org/W2581240705","https://openalex.org/W2041353081","https://openalex.org/W2568183987"],"abstract_inverted_index":{"The":[0,71,92],"large":[1],"amount":[2],"of":[3,81,119],"user-tagged":[4],"images":[5,82],"on":[6,111],"social":[7],"networks":[8],"is":[9,78,96],"helpful":[10],"to":[11,26,48,62],"facilitate":[12],"image":[13,16],"management":[14],"and":[15,58,87,106,117],"search.":[17],"However,":[18],"many":[19],"tags":[20],"are":[21,84],"weakly":[22],"relevant":[23],"or":[24],"irrelevant":[25],"the":[27,50,55,89,100,115,120],"visual":[28,72,104],"content,":[29],"resulting":[30],"in":[31,34,103],"unsatisfactory":[32],"performance":[33],"tag":[35,64,77],"related":[36],"applications.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"propose":[42],"a":[43,67,75,79],"coupled":[44],"probability":[45],"transition":[46],"algorithm":[47],"estimate":[49],"text-visual":[51],"group":[52,73,94],"relevance":[53,65,95],"from":[54],"observed":[56],"data":[57],"then":[59],"leverage":[60],"it":[61],"predict":[63],"for":[66,74],"new":[68],"query":[69],"image.":[70],"given":[76],"cluster":[80],"that":[83],"visually":[85],"similar":[86],"share":[88],"same":[90],"tag.":[91],"tag-visual":[93],"uncovered":[97],"by":[98],"exploiting":[99],"mutual":[101],"reinforcement":[102],"space":[105,108],"semantic":[107],"alternatively.":[109],"Experiments":[110],"NUS-WIDE":[112],"dataset":[113],"show":[114],"validity":[116],"superiority":[118],"proposed":[121],"approach":[122],"over":[123],"existing":[124],"methods.":[125]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
