{"id":"https://openalex.org/W2281407413","doi":"https://doi.org/10.1109/icip.2016.7532431","title":"How deep neural networks can improve emotion recognition on video data","display_name":"How deep neural networks can improve emotion recognition on video data","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2281407413","doi":"https://doi.org/10.1109/icip.2016.7532431","mag":"2281407413"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5110620480","display_name":"Pooya Khorrami","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pooya Khorrami","raw_affiliation_strings":["Beckman Institute, University of Illinois at Urbana, Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beckman Institute, University of Illinois at Urbana, Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110645760","display_name":"Tom Le Paine","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tom Le Paine","raw_affiliation_strings":["Beckman Institute, University of Illinois at Urbana, Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beckman Institute, University of Illinois at Urbana, Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111908794","display_name":"Kevin Brady","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Brady","raw_affiliation_strings":["MIT Lincoln Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratory","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026993630","display_name":"Charlie K. Dagli","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charlie Dagli","raw_affiliation_strings":["MIT Lincoln Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratory","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101457342","display_name":"Thomas S. Huang","orcid":"https://orcid.org/0000-0001-8474-5859"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas S. Huang","raw_affiliation_strings":["Beckman Institute, University of Illinois at Urbana, Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beckman Institute, University of Illinois at Urbana, Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.2692,"has_fulltext":false,"cited_by_count":104,"citation_normalized_percentile":{"value":0.98757365,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"619","last_page":"623"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9975000023841858,"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":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.853872537612915},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.8424967527389526},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6588420271873474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6523547172546387},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.645836353302002},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5988273024559021},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5832731127738953},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5658894777297974},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5071110725402832},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.47258174419403076},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4079837203025818},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40741628408432007},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.351712167263031}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.853872537612915},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.8424967527389526},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6588420271873474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6523547172546387},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.645836353302002},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5988273024559021},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5832731127738953},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5658894777297974},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5071110725402832},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.47258174419403076},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4079837203025818},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40741628408432007},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.351712167263031},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1964757081","https://openalex.org/W1974210421","https://openalex.org/W2000820603","https://openalex.org/W2003653478","https://openalex.org/W2005418748","https://openalex.org/W2009119155","https://openalex.org/W2019312772","https://openalex.org/W2021913835","https://openalex.org/W2022068631","https://openalex.org/W2024922353","https://openalex.org/W2037441721","https://openalex.org/W2045528981","https://openalex.org/W2062632672","https://openalex.org/W2081835714","https://openalex.org/W2103943262","https://openalex.org/W2115252128","https://openalex.org/W2145310492","https://openalex.org/W2163605009","https://openalex.org/W2195207531","https://openalex.org/W2277498883","https://openalex.org/W4236533540","https://openalex.org/W6650590054","https://openalex.org/W6651763732","https://openalex.org/W6670991099","https://openalex.org/W6684191040","https://openalex.org/W6694830096"],"related_works":["https://openalex.org/W4206951940","https://openalex.org/W4293868382","https://openalex.org/W4382602594","https://openalex.org/W4387850423","https://openalex.org/W4388528726","https://openalex.org/W2950022897","https://openalex.org/W2890297197","https://openalex.org/W2101697354","https://openalex.org/W1538193578","https://openalex.org/W3206636855"],"abstract_inverted_index":{"We":[0,83],"consider":[1],"the":[2,20,79,90,99,113],"task":[3],"of":[4,22,101],"dimensional":[5],"emotion":[6,57],"recognition":[7,58],"on":[8,34,59,87,104],"video":[9,60],"data":[10,61],"using":[11,62],"deep":[12],"learning.":[13],"While":[14],"several":[15,102],"previous":[16],"methods":[17],"have":[18,39],"shown":[19],"benefits":[21],"training":[23],"temporal":[24],"neural":[25,31,43,74],"network":[26,75],"models":[27],"such":[28],"as":[29],"recurrent":[30],"networks":[32,44],"(RNNs)":[33],"hand-crafted":[35],"features,":[36],"few":[37],"works":[38],"considered":[40],"combining":[41],"convolutional":[42],"(CNNs)":[45],"with":[46],"RNNs.":[47],"In":[48,94],"this":[49],"work,":[50],"we":[51,68,97],"present":[52,84],"a":[53],"system":[54],"that":[55],"performs":[56],"both":[63],"CNNs":[64],"and":[65,67,115],"RNNs,":[66],"also":[69,108],"analyze":[70,98],"how":[71],"much":[72],"each":[73],"component":[76],"contributes":[77],"to":[78,112],"system's":[80],"overall":[81,105],"performance.":[82],"our":[85,95],"findings":[86],"videos":[88],"from":[89],"Audio/Visual+Emotion":[91],"Challenge":[92],"(AV+EC2015).":[93],"experiments,":[96],"effects":[100],"hyperparameters":[103],"performance":[106,111],"while":[107],"achieving":[109],"superior":[110],"baseline":[114],"other":[116],"competing":[117],"methods.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
