{"id":"https://openalex.org/W2105552115","doi":"https://doi.org/10.1109/icme.2005.1521500","title":"Affective Content Analysis in Comedy and Horror Videos by Audio Emotional Event Detection","display_name":"Affective Content Analysis in Comedy and Horror Videos by Audio Emotional Event Detection","publication_year":2005,"publication_date":"2005-10-24","ids":{"openalex":"https://openalex.org/W2105552115","doi":"https://doi.org/10.1109/icme.2005.1521500","mag":"2105552115"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2005.1521500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100413849","display_name":"Min Xu","orcid":"https://orcid.org/0000-0001-9581-8849"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Min Xu","raw_affiliation_strings":["CeMNet, School of Computer Engineering, Nanyang Technological University, Singapore","Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CeMNet, School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110091686","display_name":"Liang-Tien Chia","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Liang-Tien Chia","raw_affiliation_strings":["CeMNet, School of Computer Engineering, Nanyang Technological University, Singapore","Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CeMNet, School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082991464","display_name":"Jionghua Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I1323252656","display_name":"Information Technology University","ror":"https://ror.org/00ngv8j44","country_code":"PK","type":"education","lineage":["https://openalex.org/I1323252656"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"J. Jin","raw_affiliation_strings":["School of Design, Communication and Information Technology, University of Newcastle","[School of Design, Communication and Information Technology, University of Newcastle]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Design, Communication and Information Technology, University of Newcastle","institution_ids":["https://openalex.org/I1323252656"]},{"raw_affiliation_string":"[School of Design, Communication and Information Technology, University of Newcastle]","institution_ids":["https://openalex.org/I1323252656"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3601,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.95801692,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"622","last_page":"625"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9997000098228455,"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":0.9997000098228455,"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/T11309","display_name":"Music and Audio Processing","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11795","display_name":"Humor Studies and Applications","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/comedy","display_name":"Comedy","score":0.8493800163269043},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.644135057926178},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.6401445269584656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6267276406288147},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5679689049720764},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5103864073753357},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.47241345047950745},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.42248114943504333},{"id":"https://openalex.org/keywords/audio-visual","display_name":"Audio visual","score":0.4135183095932007},{"id":"https://openalex.org/keywords/audio-analyzer","display_name":"Audio analyzer","score":0.41048210859298706},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3069395422935486},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.27160173654556274},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.2615704834461212},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.2590706944465637},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.14328694343566895},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.1254236400127411},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.09674263000488281}],"concepts":[{"id":"https://openalex.org/C548253320","wikidata":"https://www.wikidata.org/wiki/Q157443","display_name":"Comedy","level":2,"score":0.8493800163269043},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.644135057926178},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.6401445269584656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6267276406288147},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5679689049720764},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5103864073753357},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.47241345047950745},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.42248114943504333},{"id":"https://openalex.org/C3017588708","wikidata":"https://www.wikidata.org/wiki/Q758901","display_name":"Audio visual","level":2,"score":0.4135183095932007},{"id":"https://openalex.org/C160372630","wikidata":"https://www.wikidata.org/wiki/Q4819855","display_name":"Audio analyzer","level":5,"score":0.41048210859298706},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3069395422935486},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.27160173654556274},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.2615704834461212},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2590706944465637},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.14328694343566895},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.1254236400127411},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.09674263000488281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2005.1521500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W24912070","https://openalex.org/W1587415851","https://openalex.org/W1981233952","https://openalex.org/W1999956262","https://openalex.org/W2129304007","https://openalex.org/W2134422453","https://openalex.org/W2135949113","https://openalex.org/W2147775340","https://openalex.org/W2339343773","https://openalex.org/W4230277160","https://openalex.org/W4241170464","https://openalex.org/W4248038818","https://openalex.org/W6601025087","https://openalex.org/W6634999465","https://openalex.org/W6650430342","https://openalex.org/W6679065172","https://openalex.org/W6680078096"],"related_works":["https://openalex.org/W17035644","https://openalex.org/W4307737097","https://openalex.org/W1576591098","https://openalex.org/W2360172791","https://openalex.org/W573144339","https://openalex.org/W590321007","https://openalex.org/W2388204798","https://openalex.org/W4402262758","https://openalex.org/W3096250625","https://openalex.org/W3011716530"],"abstract_inverted_index":{"We":[0,110],"study":[1],"the":[2,42,49,58,73,112],"problem":[3],"of":[4,13,48,53,80,136,149,167],"affective":[5,14,54,74,176],"content":[6,75,177],"analysis.":[7,178],"In":[8,61],"this":[9,62,130],"paper,":[10],"we":[11,64],"think":[12],"contents":[15],"as":[16,32,87,114],"those":[17],"video/audio":[18],"segments,":[19],"which":[20],"may":[21],"cause":[22],"an":[23,107,164,171],"audience's":[24,108],"strong":[25],"reactions":[26],"or":[27,34,126],"special":[28,168],"emotional":[29,37,83],"experiences,":[30],"such":[31,86],"laughing":[33],"fear.":[35],"Those":[36,92],"factors":[38],"are":[39],"related":[40],"to":[41,71,117,160,174],"users'":[43],"attention,":[44],"evaluation,":[45],"and":[46,68,102,140,147],"memories":[47],"content.":[50],"The":[51],"modeling":[52],"effects":[55],"depends":[56],"on":[57,66],"video":[59,120,139],"genres.":[60],"work,":[63],"focus":[65],"comedy":[67,138],"horror":[69,89,142],"films":[70],"extract":[72],"by":[76,97],"detecting":[77],"a":[78,115],"set":[79],"so-called":[81],"audio":[82,99],"events":[84],"(AEE)":[85],"laughing,":[88],"sounds,":[90],"etc.":[91],"AEE":[93,113],"can":[94,104],"be":[95],"modeled":[96],"various":[98],"processing":[100],"techniques,":[101],"they":[103],"directly":[105],"reflect":[106],"emotion.":[109],"use":[111],"clue":[116],"locate":[118],"corresponding":[119],"segments.":[121],"Domain":[122],"knowledge":[123],"is":[124,152,155,170],"more":[125],"less":[127],"employed":[128],"at":[129],"stage.":[131],"Our":[132],"experimental":[133],"dataset":[134],"consists":[135],"40-minutes":[137,141],"film.":[143],"An":[144],"average":[145],"recall":[146],"precision":[148],"above":[150],"90%":[151],"achieved.":[153],"It":[154],"shown":[156],"that,":[157],"in":[158],"addition":[159],"rich":[161],"visual":[162],"information,":[163],"appropriate":[165],"usage":[166],"audios":[169],"effective":[172],"way":[173],"assist":[175]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":7}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
