{"id":"https://openalex.org/W2041259983","doi":"https://doi.org/10.1109/tmm.2014.2323014","title":"Exploiting Web Images for Semantic Video <newline/>Indexing Via Robust Sample-Specific Loss","display_name":"Exploiting Web Images for Semantic Video <newline/>Indexing Via Robust Sample-Specific Loss","publication_year":2014,"publication_date":"2014-05-09","ids":{"openalex":"https://openalex.org/W2041259983","doi":"https://doi.org/10.1109/tmm.2014.2323014","mag":"2041259983"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2014.2323014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2014.2323014","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/A5100397616","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-5070-4511"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Yang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003217535","display_name":"Zheng-Jun Zha","orcid":"https://orcid.org/0000-0003-2510-8993"},"institutions":[{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]},{"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"],"is_corresponding":false,"raw_author_name":"Zheng-Jun Zha","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Intelligent Machines, Hefei, China","Institute of Intelligent Machines; Chinese Academy of Sciences; Hefei China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Intelligent Machines, Hefei, China","institution_ids":["https://openalex.org/I4210099079","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Intelligent Machines; Chinese Academy of Sciences; Hefei China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602494","display_name":"Yue Gao","orcid":"https://orcid.org/0000-0002-4971-590X"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Yue Gao","raw_affiliation_strings":["Department of Automation, Tsinghua University, China","Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037340898","display_name":"Xiaofeng Zhu","orcid":"https://orcid.org/0000-0001-6840-0578"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]},{"id":"https://openalex.org/I4210166946","display_name":"Imaging Center","ror":"https://ror.org/05hsqsk33","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210166946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofeng Zhu","raw_affiliation_strings":["Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, United States","Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, United States"],"affiliations":[{"raw_affiliation_string":"Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, United States","institution_ids":["https://openalex.org/I114027177","https://openalex.org/I4210166946"]},{"raw_affiliation_string":"Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, United States","institution_ids":["https://openalex.org/I114027177","https://openalex.org/I4210166946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089404640","display_name":"Tat\u2010Seng Chua","orcid":"https://orcid.org/0000-0001-6097-7807"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tat-Seng Chua","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100397616"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":23.6556,"has_fulltext":false,"cited_by_count":126,"citation_normalized_percentile":{"value":0.99684951,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"16","issue":"6","first_page":"1677","last_page":"1689"},"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":0.9990000128746033,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9968000054359436,"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/computer-science","display_name":"Computer science","score":0.8839031457901001},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7416836619377136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5387841463088989},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.42974135279655457},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3534109890460968}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8839031457901001},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7416836619377136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5387841463088989},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.42974135279655457},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3534109890460968},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2014.2323014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2014.2323014","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":[],"awards":[{"id":"https://openalex.org/G5487231792","display_name":null,"funder_award_id":"61263035","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W618719944","https://openalex.org/W1964810009","https://openalex.org/W1967447455","https://openalex.org/W1975878180","https://openalex.org/W1976921161","https://openalex.org/W1978920452","https://openalex.org/W1979972308","https://openalex.org/W1994179401","https://openalex.org/W1994984401","https://openalex.org/W2007972815","https://openalex.org/W2012260009","https://openalex.org/W2014854862","https://openalex.org/W2015541839","https://openalex.org/W2015861131","https://openalex.org/W2018573225","https://openalex.org/W2023707432","https://openalex.org/W2052148997","https://openalex.org/W2067786280","https://openalex.org/W2070959357","https://openalex.org/W2077072595","https://openalex.org/W2084983808","https://openalex.org/W2087560337","https://openalex.org/W2105131558","https://openalex.org/W2109743529","https://openalex.org/W2115403315","https://openalex.org/W2120149881","https://openalex.org/W2120354757","https://openalex.org/W2120559187","https://openalex.org/W2122922389","https://openalex.org/W2128840666","https://openalex.org/W2142126424","https://openalex.org/W2160039895","https://openalex.org/W2161258050","https://openalex.org/W2163352848","https://openalex.org/W2164943005","https://openalex.org/W2165698076","https://openalex.org/W2171188027","https://openalex.org/W2242266959","https://openalex.org/W2280985394","https://openalex.org/W2533506101","https://openalex.org/W2913081710","https://openalex.org/W3146885639","https://openalex.org/W4232262564","https://openalex.org/W4237279480","https://openalex.org/W4241631107","https://openalex.org/W4245050711","https://openalex.org/W4296262844","https://openalex.org/W6677732433","https://openalex.org/W6678296315","https://openalex.org/W6683390231","https://openalex.org/W6728717471"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W2348101466","https://openalex.org/W1532623239","https://openalex.org/W1991645216","https://openalex.org/W4224009465","https://openalex.org/W2413339343","https://openalex.org/W4286629047","https://openalex.org/W2122688963","https://openalex.org/W4306321456"],"abstract_inverted_index":{"Semantic":[0],"video":[1,6,9,47,62,115,244],"indexing,":[2],"also":[3],"known":[4],"as":[5,106,158,227],"annotation":[7],"or":[8],"concept":[10],"detection":[11],"in":[12,19,172,185],"literatures,":[13],"has":[14],"been":[15],"attracting":[16],"significant":[17],"attention":[18],"recent":[20],"years.":[21],"Due":[22],"to":[23,57,97,119,161,207],"deficiency":[24],"of":[25,30,101,127,134,154,169,221,239],"labeled":[26],"training":[27,128],"videos,":[28],"most":[29],"the":[31,52,99,132,151,163,167,173,177,187,197,210,219,222,237,240],"existing":[32],"approaches":[33],"can":[34],"hardly":[35],"achieve":[36],"satisfactory":[37],"performance.":[38],"In":[39],"this":[40,170],"paper,":[41],"we":[42,91,202],"propose":[43],"a":[44,94,112,124,143,155,215],"novel":[45,144],"semantic":[46,61,243],"indexing":[48,63,116,245],"approach,":[49],"which":[50,149,186],"exploits":[51],"abundant":[53],"user-tagged":[54,135],"Web":[55,75,156],"images":[56,76,87,102,190],"help":[58],"learn":[59,120],"robust":[60,113,146,242],"classifiers.":[64],"The":[65,137],"following":[66],"two":[67],"major":[68],"challenges":[69],"are":[70],"well":[71],"studied:":[72],"1)":[73],"noisy":[74],"with":[77,131,142],"imprecise":[78],"and/or":[79],"incomplete":[80],"tags;":[81],"and":[82,88,165,191,214],"2)":[83],"domain":[84,198],"difference":[85,199],"between":[86,189],"videos.":[89],"Specifically,":[90],"first":[92],"apply":[93],"non-parametric":[95],"approach":[96],"estimate":[98],"probabilities":[100],"being":[103],"correctly":[104],"tagged":[105],"confidence":[107,152],"scores.":[108],"We":[109],"then":[110],"develop":[111],"transfer":[114],"(RTVI)":[117],"model":[118,139,179,213],"reliable":[121],"classifiers":[122],"from":[123],"limited":[125],"number":[126],"videos":[129,192],"together":[130],"abundance":[133],"images.":[136],"RTVI":[138,178,212],"is":[140,193,225],"equipped":[141],"sample-specific":[145],"loss":[147],"function,":[148],"employs":[150],"score":[153],"image":[157,171],"prior":[159],"knowledge":[160],"suppress":[162],"influence":[164],"control":[166],"contribution":[168],"learning":[174],"process.":[175],"Meanwhile,":[176],"discovers":[180],"an":[181,204],"optimal":[182],"kernel":[183],"space,":[184],"mismatch":[188],"minimized":[194],"for":[195],"tackling":[196],"problem.":[200],"Besides,":[201],"devise":[203],"iterative":[205],"algorithm":[206,224],"effectively":[208],"optimize":[209],"proposed":[211,223,241],"theoretical":[216],"analysis":[217],"on":[218,231],"convergence":[220],"provided":[226],"well.":[228],"Extensive":[229],"experiments":[230],"various":[232],"real-world":[233],"multimedia":[234],"collections":[235],"demonstrate":[236],"effectiveness":[238],"approach.":[246]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":30},{"year":2016,"cited_by_count":36},{"year":2015,"cited_by_count":22},{"year":2014,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}