{"id":"https://openalex.org/W3128299371","doi":"https://doi.org/10.1109/ipas50080.2020.9334943","title":"Audiovisual Classification of Group Emotion Valence Using Activity Recognition Networks","display_name":"Audiovisual Classification of Group Emotion Valence Using Activity Recognition Networks","publication_year":2020,"publication_date":"2020-12-09","ids":{"openalex":"https://openalex.org/W3128299371","doi":"https://doi.org/10.1109/ipas50080.2020.9334943","mag":"3128299371"},"language":"en","primary_location":{"id":"doi:10.1109/ipas50080.2020.9334943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas50080.2020.9334943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 4th International Conference on Image Processing, Applications and Systems (IPAS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://repositorio.inesctec.pt/handle/123456789/12494","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018059656","display_name":"Jo\u00e3o Ribeiro Pinto","orcid":"https://orcid.org/0000-0003-4956-5902"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Joao Ribeiro Pinto","raw_affiliation_strings":["INESC TEC and Universidade do Porto, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INESC TEC and Universidade do Porto, Porto, Portugal","institution_ids":["https://openalex.org/I4210166615","https://openalex.org/I182534213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048973505","display_name":"Tiago Gon\u00e7alves","orcid":"https://orcid.org/0000-0003-4744-9174"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Tiago Goncalves","raw_affiliation_strings":["INESC TEC and Universidade do Porto, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INESC TEC and Universidade do Porto, Porto, Portugal","institution_ids":["https://openalex.org/I4210166615","https://openalex.org/I182534213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076833511","display_name":"Carolina Pinto","orcid":null},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Carolina Pinto","raw_affiliation_strings":["Universidade do Porto, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade do Porto, Porto, Portugal","institution_ids":["https://openalex.org/I182534213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005369826","display_name":"Lu\u00eds Sanhudo","orcid":"https://orcid.org/0000-0002-2578-6981"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Luis Sanhudo","raw_affiliation_strings":["INESC TEC and Universidade do Porto, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INESC TEC and Universidade do Porto, Porto, Portugal","institution_ids":["https://openalex.org/I4210166615","https://openalex.org/I182534213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072788624","display_name":"Joaquim Fonseca","orcid":"https://orcid.org/0000-0002-2056-1206"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joaquim Fonseca","raw_affiliation_strings":["Bosch Car Multimedia, Braga, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bosch Car Multimedia, Braga, Portugal","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043486260","display_name":"Filipe Gon\u00e7alves","orcid":"https://orcid.org/0000-0002-8769-4257"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Filipe Goncalves","raw_affiliation_strings":["Bosch Car Multimedia, Braga, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bosch Car Multimedia, Braga, Portugal","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029690434","display_name":"Pedro Carvalho","orcid":"https://orcid.org/0000-0003-4983-4316"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]},{"id":"https://openalex.org/I83863532","display_name":"Polytechnic Institute of Porto","ror":"https://ror.org/04988re48","country_code":"PT","type":"education","lineage":["https://openalex.org/I83863532"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Pedro Carvalho","raw_affiliation_strings":["INESC TEC and Polytechnic of Porto, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INESC TEC and Polytechnic of Porto, Porto, Portugal","institution_ids":["https://openalex.org/I83863532","https://openalex.org/I4210166615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013827007","display_name":"Jaime S. Cardoso","orcid":"https://orcid.org/0000-0002-3760-2473"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jaime S. Cardoso","raw_affiliation_strings":["INESC TEC and Universidade do Porto, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INESC TEC and Universidade do Porto, Porto, Portugal","institution_ids":["https://openalex.org/I4210166615","https://openalex.org/I182534213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7881,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.85883322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"114","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9983999729156494,"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":0.7728281617164612},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.666732907295227},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6630368232727051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6095904111862183},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5734829306602478},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5623466968536377},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5342371463775635},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5164192318916321},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43518900871276855},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4302997887134552},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40986743569374084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7728281617164612},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.666732907295227},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6630368232727051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6095904111862183},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5734829306602478},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5623466968536377},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5342371463775635},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5164192318916321},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43518900871276855},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4302997887134552},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40986743569374084},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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":2,"locations":[{"id":"doi:10.1109/ipas50080.2020.9334943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas50080.2020.9334943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 4th International Conference on Image Processing, Applications and Systems (IPAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:repositorio.inesctec.pt:123456789/12494","is_oa":true,"landing_page_url":"http://repositorio.inesctec.pt/handle/123456789/12494","pdf_url":null,"source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference object"}],"best_oa_location":{"id":"pmh:oai:repositorio.inesctec.pt:123456789/12494","is_oa":true,"landing_page_url":"http://repositorio.inesctec.pt/handle/123456789/12494","pdf_url":null,"source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference object"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1880917771","display_name":null,"funder_award_id":"SFRH/BD/137720/2018,SFRH/BD/06434/2020,SFRH/BD/129652/2017","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G8192463329","display_name":null,"funder_award_id":"039334","funder_id":"https://openalex.org/F4320321595","funder_display_name":"Federaci\u00f3n Espa\u00f1ola de Enfermedades Raras"}],"funders":[{"id":"https://openalex.org/F4320321595","display_name":"Federaci\u00f3n Espa\u00f1ola de Enfermedades Raras","ror":"https://ror.org/0348bpk17"},{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1927052826","https://openalex.org/W2194775991","https://openalex.org/W2341528187","https://openalex.org/W2487211121","https://openalex.org/W2549054384","https://openalex.org/W2625297138","https://openalex.org/W2767359575","https://openalex.org/W2767661396","https://openalex.org/W2792578050","https://openalex.org/W2821427990","https://openalex.org/W2894182255","https://openalex.org/W2900846417","https://openalex.org/W2914868535","https://openalex.org/W2936252425","https://openalex.org/W2946216189","https://openalex.org/W2963524571","https://openalex.org/W2971680695","https://openalex.org/W2988839539","https://openalex.org/W2990503944","https://openalex.org/W2996209825","https://openalex.org/W3094309768","https://openalex.org/W3101998545","https://openalex.org/W3126314169","https://openalex.org/W4288086712"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2043093291","https://openalex.org/W2101155126","https://openalex.org/W2363545964"],"abstract_inverted_index":{"Despite":[0],"recent":[1],"efforts,":[2],"accuracy":[3,113,149],"in":[4],"group":[5],"emotion":[6],"recognition":[7,133,140],"is":[8,21,33,67,144],"still":[9,37],"generally":[10],"low.":[11],"One":[12],"of":[13,24,114,152],"the":[14,22,30,89,102,117,124,148],"reasons":[15],"for":[16,52,116,138],"these":[17],"underwhelming":[18],"performance":[19,136],"levels":[20],"scarcity":[23],"available":[25],"labeled":[26,60],"data":[27,100],"which,":[28],"like":[29],"literature":[31],"approaches,":[32],"mainly":[34],"focused":[35],"on":[36],"images.":[38],"In":[39],"this":[40,44],"work,":[41],"we":[42],"address":[43],"problem":[45],"by":[46],"adapting":[47],"an":[48],"inflated":[49],"ResNet-50":[50],"pretrained":[51],"a":[53,70,93,110],"similar":[54],"task,":[55],"activity":[56,132],"recognition,":[57],"where":[58],"large":[59],"video":[61,86],"datasets":[62],"are":[63],"available.":[64],"Audio":[65],"information":[66,87],"processed":[68],"using":[69,92,131],"Bidirectional":[71],"Long":[72],"Short-Term":[73],"Memory":[74],"(Bi-LSTM)":[75],"network":[76],"receiving":[77],"extracted":[78],"features.":[79],"A":[80],"multimodal":[81,118],"approach":[82],"fuses":[83],"audio":[84,143],"and":[85,141,150],"at":[88],"score":[90],"level":[91],"support":[94],"vector":[95],"machine":[96],"classifier.":[97],"Evaluation":[98],"with":[99],"from":[101],"EmotiW":[103],"2020":[104],"AV":[105],"Group-Level":[106],"Emotion":[107],"sub-challenge":[108],"shows":[109],"final":[111],"test":[112],"65.74%":[115],"approach,":[119],"approximately":[120],"18%":[121],"higher":[122],"than":[123],"official":[125],"baseline.":[126],"The":[127],"results":[128],"show":[129],"that":[130,142],"pretraining":[134],"offers":[135],"advantages":[137],"group-emotion":[139],"essential":[145],"to":[146],"improve":[147],"robustness":[151],"video-based":[153],"recognition.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
