{"id":"https://openalex.org/W1992724000","doi":"https://doi.org/10.1109/tmm.2014.2305573","title":"Corpus Development for Affective Video Indexing","display_name":"Corpus Development for Affective Video Indexing","publication_year":2014,"publication_date":"2014-02-10","ids":{"openalex":"https://openalex.org/W1992724000","doi":"https://doi.org/10.1109/tmm.2014.2305573","mag":"1992724000"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2014.2305573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2014.2305573","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/1211.5492","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mohammad Soleymani","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Mohammad Soleymani","raw_affiliation_strings":["Intelligent Behaviour Understanding Group (iBUG), Imperial College London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Intelligent Behaviour Understanding Group (iBUG), Imperial College London, London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Martha Larson","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Martha Larson","raw_affiliation_strings":["Multimedia Information Retrieval Lab, Delft University of Technology, Delft, CD, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Multimedia Information Retrieval Lab, Delft University of Technology, Delft, CD, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Thierry Pun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150799","display_name":"Battelle","ror":"https://ror.org/05vqnxk73","country_code":"CH","type":"nonprofit","lineage":["https://openalex.org/I4210150799"]},{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Thierry Pun","raw_affiliation_strings":["Computer Vision and Multimedia Laboratory, University of Geneva, Battelle Campus, Carouge, GE, Switzerland"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Multimedia Laboratory, University of Geneva, Battelle Campus, Carouge, GE, Switzerland","institution_ids":["https://openalex.org/I114457229","https://openalex.org/I4210150799"]}]},{"author_position":"last","author":{"id":null,"display_name":"Alan Hanjalic","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alan Hanjalic","raw_affiliation_strings":["Multimedia Information Retrieval Lab, Delft University of Technology, Delft, CD, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Multimedia Information Retrieval Lab, Delft University of Technology, Delft, CD, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":6.6703,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.97504131,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"16","issue":"4","first_page":"1075","last_page":"1089"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.32089999318122864,"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/T11439","display_name":"Video Analysis and Summarization","score":0.32089999318122864,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.2578999996185303,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.19300000369548798,"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/search-engine-indexing","display_name":"Search engine indexing","score":0.7671999931335449},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5333999991416931},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5023999810218811},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.4796999990940094},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.47380000352859497},{"id":"https://openalex.org/keywords/video-content-analysis","display_name":"Video content analysis","score":0.4219000041484833},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.3418000042438507},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.33820000290870667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.854200005531311},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7671999931335449},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.5375000238418579},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5333999991416931},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5023999810218811},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.4796999990940094},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.47380000352859497},{"id":"https://openalex.org/C2778598663","wikidata":"https://www.wikidata.org/wiki/Q1407599","display_name":"Video content analysis","level":4,"score":0.4219000041484833},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4115999937057495},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.3418000042438507},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.33820000290870667},{"id":"https://openalex.org/C2983174267","wikidata":"https://www.wikidata.org/wiki/Q3775098","display_name":"Video retrieval","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.31850001215934753},{"id":"https://openalex.org/C2778330532","wikidata":"https://www.wikidata.org/wiki/Q4826577","display_name":"Automatic indexing","level":3,"score":0.30889999866485596},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3061000108718872},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.2913999855518341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2777000069618225},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2599000036716461},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmm.2014.2305573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2014.2305573","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:1211.5492","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1211.5492","pdf_url":"https://arxiv.org/pdf/1211.5492","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:1211.5492","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1211.5492","pdf_url":"https://arxiv.org/pdf/1211.5492","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W146470039","https://openalex.org/W1269562257","https://openalex.org/W1825415099","https://openalex.org/W1964507417","https://openalex.org/W1977137834","https://openalex.org/W1979585014","https://openalex.org/W1986740180","https://openalex.org/W2003653478","https://openalex.org/W2011664673","https://openalex.org/W2013970786","https://openalex.org/W2028422222","https://openalex.org/W2037903774","https://openalex.org/W2040593830","https://openalex.org/W2054560711","https://openalex.org/W2058956812","https://openalex.org/W2062903088","https://openalex.org/W2066064791","https://openalex.org/W2075953807","https://openalex.org/W2096131645","https://openalex.org/W2100765164","https://openalex.org/W2102998034","https://openalex.org/W2106568252","https://openalex.org/W2113022628","https://openalex.org/W2114025269","https://openalex.org/W2116001771","https://openalex.org/W2122098299","https://openalex.org/W2122563357","https://openalex.org/W2123807687","https://openalex.org/W2124801089","https://openalex.org/W2127910724","https://openalex.org/W2131087616","https://openalex.org/W2132006104","https://openalex.org/W2135933687","https://openalex.org/W2136129419","https://openalex.org/W2140205635","https://openalex.org/W2141985320","https://openalex.org/W2144756000","https://openalex.org/W2147069236","https://openalex.org/W2148569883","https://openalex.org/W2149628368","https://openalex.org/W2151401338","https://openalex.org/W2156503193","https://openalex.org/W2156709807","https://openalex.org/W2156848952","https://openalex.org/W2167557160","https://openalex.org/W2169439614","https://openalex.org/W4236533540","https://openalex.org/W4239281938","https://openalex.org/W4248038818","https://openalex.org/W4253885843","https://openalex.org/W4296262844","https://openalex.org/W6606258704","https://openalex.org/W6628256265","https://openalex.org/W6680957493","https://openalex.org/W6690104498","https://openalex.org/W6702129236"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W1873761914","https://openalex.org/W1592893681","https://openalex.org/W2982689231","https://openalex.org/W103997812","https://openalex.org/W4249836580","https://openalex.org/W1606406758","https://openalex.org/W1607840445","https://openalex.org/W1963586751","https://openalex.org/W2038770598"],"abstract_inverted_index":{"Affective":[0,50,95],"video":[1,16,25,56,74,93,96,128,170],"indexing":[2,75,97],"is":[3,67],"the":[4,20,24,70,82,122,136,174,180,190,215],"area":[5],"of":[6,15,35,92,124,141,182,194,201],"research":[7],"that":[8,18,72,87,127],"develops":[9],"techniques":[10],"to":[11,44,78,107,119],"automatically":[12],"generate":[13],"descriptions":[14,51],"content":[17,26,129],"encode":[19],"emotional":[21],"reactions":[22,104],"which":[23],"evokes":[27,130],"in":[28,47,117,131],"viewers.":[29],"This":[30],"paper":[31,66],"provides":[32],"a":[33],"set":[34],"corpus":[36,195],"development":[37],"guidelines":[38],"based":[39],"on":[40,149,156],"state-of-the-art":[41],"practice":[42],"intended":[43],"support":[45],"researchers":[46],"this":[48],"field.":[49],"can":[52],"be":[53,114],"used":[54],"for":[55,168,176],"search":[57],"and":[58,133,138,151,153,172,189,192,205],"browsing":[59],"systems":[60],"offering":[61],"users":[62],"affective":[63,73,103,125,157,169],"perspectives.":[64],"The":[65],"motivated":[68],"by":[69],"observation":[71],"has":[76],"yet":[77],"fully":[79],"profit":[80],"from":[81],"standard":[83],"corpora":[84,204,209],"(data":[85],"sets)":[86],"have":[88],"benefited":[89],"conventional":[90],"forms":[91],"indexing.":[94],"faces":[98],"unique":[99],"challenges,":[100],"since":[101],"viewer-reported":[102],"are":[105],"difficult":[106],"assess.":[108],"Moreover":[109],"affect":[110,150],"assessment":[111],"efforts":[112],"must":[113],"carefully":[115],"designed":[116],"order":[118],"both":[120],"cover":[121],"types":[123],"responses":[126],"viewers":[132],"also":[134],"capture":[135],"stable":[137],"consistent":[139],"aspects":[140],"these":[142,208],"responses.":[143],"We":[144],"first":[145],"present":[146,199],"background":[147],"information":[148],"multimedia":[152,158],"related":[154],"work":[155],"indexing,":[159],"including":[160],"existing":[161],"corpora.":[162],"Three":[163],"dimensions":[164],"emerge":[165],"as":[166],"critical":[167],"corpora,":[171],"form":[173],"basis":[175],"our":[177],"proposed":[178],"guidelines:":[179],"context":[181],"viewer":[183],"response,":[184],"personal":[185],"variation":[186],"among":[187],"viewers,":[188],"effectiveness":[191],"efficiency":[193],"creation.":[196],"Finally,":[197],"we":[198],"examples":[200],"three":[202],"recent":[203],"discuss":[206],"how":[207],"make":[210],"progressive":[211],"steps":[212],"towards":[213],"fulfilling":[214],"guidelines.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":6}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-06-24T00:00:00"}