{"id":"https://openalex.org/W3181165984","doi":"https://doi.org/10.1109/tmm.2021.3096155","title":"Robust Character Labeling in Movie Videos: Data Resources and Self-Supervised Feature Adaptation","display_name":"Robust Character Labeling in Movie Videos: Data Resources and Self-Supervised Feature Adaptation","publication_year":2021,"publication_date":"2021-07-09","ids":{"openalex":"https://openalex.org/W3181165984","doi":"https://doi.org/10.1109/tmm.2021.3096155","mag":"3181165984"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3096155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3096155","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.11289","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008305849","display_name":"Krishna Somandepalli","orcid":"https://orcid.org/0000-0002-2845-1079"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Krishna Somandepalli","raw_affiliation_strings":["Department of Electrical, and Computer Engineering, University of Southern California, Los Angeles, CA, USA","Department of Electrical and Computer Engineering, University of South-ern California, Los Angeles, CA, 90089; K"],"affiliations":[{"raw_affiliation_string":"Department of Electrical, and Computer Engineering, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of South-ern California, Los Angeles, CA, 90089; K","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085315115","display_name":"Rajat Hebbar","orcid":"https://orcid.org/0000-0002-0904-0573"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rajat Hebbar","raw_affiliation_strings":["Department of Electrical, and Computer Engineering, University of Southern California, Los Angeles, CA, USA","Department of Electrical and Computer Engineering, University of South-ern California, Los Angeles, CA, 90089; K"],"affiliations":[{"raw_affiliation_string":"Department of Electrical, and Computer Engineering, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of South-ern California, Los Angeles, CA, 90089; K","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010028928","display_name":"Shrikanth Narayanan","orcid":"https://orcid.org/0000-0002-1052-6204"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shrikanth Narayanan","raw_affiliation_strings":["Department of Electrical, and Computer Engineering, University of Southern California, Los Angeles, CA, USA","Department of Electrical and Computer Engineering, University of South-ern California, Los Angeles, CA, 90089; K"],"affiliations":[{"raw_affiliation_string":"Department of Electrical, and Computer Engineering, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of South-ern California, Los Angeles, CA, 90089; K","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008305849"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.4844,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.64719422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"24","issue":null,"first_page":"3355","last_page":"3368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T11448","display_name":"Face recognition and analysis","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9900000095367432,"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":0.917900025844574,"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":0.8651992082595825},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.701104462146759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.656072735786438},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6266211867332458},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6157245635986328},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6096392273902893},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49924612045288086},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4607592225074768},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.45730143785476685},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4463822841644287},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.4236186742782593},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4232971668243408},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.372260719537735}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8651992082595825},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.701104462146759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.656072735786438},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6266211867332458},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6157245635986328},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6096392273902893},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49924612045288086},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4607592225074768},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.45730143785476685},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4463822841644287},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.4236186742782593},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4232971668243408},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.372260719537735},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmm.2021.3096155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3096155","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"},{"id":"pmh:oai:arXiv.org:2008.11289","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.11289","pdf_url":"https://arxiv.org/pdf/2008.11289","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.11289","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.11289","pdf_url":"https://arxiv.org/pdf/2008.11289","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":92,"referenced_works":["https://openalex.org/W38568571","https://openalex.org/W98220398","https://openalex.org/W1509966554","https://openalex.org/W1523385540","https://openalex.org/W1692023078","https://openalex.org/W1782590233","https://openalex.org/W1969014310","https://openalex.org/W1971901154","https://openalex.org/W2019464758","https://openalex.org/W2028067326","https://openalex.org/W2028323735","https://openalex.org/W2055251102","https://openalex.org/W2064617419","https://openalex.org/W2067175278","https://openalex.org/W2096733369","https://openalex.org/W2101234009","https://openalex.org/W2115546586","https://openalex.org/W2119031011","https://openalex.org/W2121027212","https://openalex.org/W2129552065","https://openalex.org/W2157364932","https://openalex.org/W2159094433","https://openalex.org/W2165232124","https://openalex.org/W2168996682","https://openalex.org/W2170665590","https://openalex.org/W2225887246","https://openalex.org/W2236062296","https://openalex.org/W2287678309","https://openalex.org/W2293561010","https://openalex.org/W2325939864","https://openalex.org/W2343586057","https://openalex.org/W2400416707","https://openalex.org/W2515770085","https://openalex.org/W2519769969","https://openalex.org/W2555535051","https://openalex.org/W2559403207","https://openalex.org/W2605585413","https://openalex.org/W2736633948","https://openalex.org/W2746923101","https://openalex.org/W2753548875","https://openalex.org/W2766187676","https://openalex.org/W2794558093","https://openalex.org/W2796093898","https://openalex.org/W2799530536","https://openalex.org/W2802764412","https://openalex.org/W2886433031","https://openalex.org/W2892311634","https://openalex.org/W2907351774","https://openalex.org/W2911132372","https://openalex.org/W2914699769","https://openalex.org/W2931956500","https://openalex.org/W2938059573","https://openalex.org/W2950438040","https://openalex.org/W2962749043","https://openalex.org/W2962902099","https://openalex.org/W2963466847","https://openalex.org/W2963516811","https://openalex.org/W2963542293","https://openalex.org/W2963566548","https://openalex.org/W2963640592","https://openalex.org/W2963839617","https://openalex.org/W2964171387","https://openalex.org/W2969985801","https://openalex.org/W2970250044","https://openalex.org/W2970513502","https://openalex.org/W2973033982","https://openalex.org/W2974319653","https://openalex.org/W2984006054","https://openalex.org/W2987802279","https://openalex.org/W3034552680","https://openalex.org/W3082103684","https://openalex.org/W3085095136","https://openalex.org/W3095481265","https://openalex.org/W3097096317","https://openalex.org/W3097590056","https://openalex.org/W3099206234","https://openalex.org/W3103977047","https://openalex.org/W3119957342","https://openalex.org/W3120485916","https://openalex.org/W3173655578","https://openalex.org/W3214102110","https://openalex.org/W4249992252","https://openalex.org/W4252217292","https://openalex.org/W4252632312","https://openalex.org/W6630649318","https://openalex.org/W6631216910","https://openalex.org/W6638046521","https://openalex.org/W6675354045","https://openalex.org/W6730585679","https://openalex.org/W6757864391","https://openalex.org/W6761244968","https://openalex.org/W6804270185"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2378211422","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2050958351"],"abstract_inverted_index":{"Robust":[0],"face":[1,59,78,93,132,162,168],"clustering":[2,18,171],"is":[3,22,173],"a":[4,73,90,100],"vital":[5],"step":[6],"in":[7,15,27,38,112,181,218,227],"enabling":[8],"computational":[9],"understanding":[10],"of":[11,25,31,46,51,75,92,142,177,199],"visual":[12],"character":[13,225],"portrayal":[14],"media.":[16],"Face":[17],"for":[19,130,146,207],"long-form":[20,66],"content":[21],"challenging":[23],"because":[24],"variations":[26],"appearance":[28],"and":[29,57,126,160,170,203],"lack":[30,50],"supporting":[32],"large-scale":[33,215],"labeled":[34,144],"data.":[35],"Our":[36,136],"work":[37,220],"this":[39,47,182,219],"paper":[40],"focuses":[41],"on":[42,62,88,109,166],"two":[43],"key":[44],"aspects":[45],"problem:":[48],"the":[49,97,113,140,178,187,214],"domain-specific":[52,147],"training":[53],"or":[54,99],"benchmark":[55],"datasets,":[56],"adapting":[58,131],"embeddings":[60,133],"learned":[61],"web":[63],"images":[64],"to":[65,96,116,134,175,193],"content,":[67],"specifically":[68],"movies.":[69],"First,":[70],"we":[71,151],"present":[72,186],"dataset":[74],"over":[76],"169000":[77],"tracks":[79,94],"curated":[80],"from":[81,119],"240":[82],"Hollywood":[83],"movies":[84],"with":[85],"weak":[86],"labels":[87,206],"whether":[89],"pair":[91],"belong":[95],"same":[98],"different":[101],"character.":[102],"We":[103,122,184,211],"propose":[104],"an":[105],"offline":[106],"algorithm":[107],"based":[108],"nearest-neighbor":[110],"search":[111],"embedding":[114],"space":[115],"mine":[117],"hard-examples":[118],"these":[120],"tracks.":[121],"then":[123],"investigate":[124],"triplet-loss":[125],"multiview":[127,154],"correlation-based":[128,155],"methods":[129],"hard-examples.":[135],"experimental":[137],"results":[138,180],"highlight":[139],"usefulness":[141],"weakly":[143],"data":[145],"feature":[148],"adaptation.":[149],"Overall,":[150],"find":[152],"that":[153,176,213],"adaptation":[156],"yields":[157],"more":[158],"discriminative":[159],"robust":[161],"embeddings.":[163],"Its":[164],"performance":[165],"downstream":[167],"verification":[169],"tasks":[172],"comparable":[174],"state-of-the-art":[179],"domain.":[183],"also":[185],"SAIL-Movie":[188],"Character":[189],"Benchmark":[190],"corpus":[191],"developed":[192,217],"augment":[194],"existing":[195],"benchmarks.":[196],"It":[197],"consists":[198],"racially":[200],"diverse":[201],"actors":[202],"provides":[204],"face-quality":[205],"subsequent":[208],"error":[209],"analysis.":[210],"hope":[212],"datasets":[216],"can":[221],"further":[222],"advance":[223],"automatic":[224],"labeling":[226],"videos.":[228],"All":[229],"resources":[230],"are":[231],"available":[232],"freely":[233],"at":[234],"<uri>https://sail.usc.edu/~ccmi/multiface</uri>.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}