{"id":"https://openalex.org/W2058158720","doi":"https://doi.org/10.1145/2661806.2661815","title":"Fusing Affective Dimensions and Audio-Visual Features from Segmented Video for Depression Recognition","display_name":"Fusing Affective Dimensions and Audio-Visual Features from Segmented Video for Depression Recognition","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W2058158720","doi":"https://doi.org/10.1145/2661806.2661815","mag":"2058158720"},"language":"en","primary_location":{"id":"doi:10.1145/2661806.2661815","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661806.2661815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge","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/A5020103071","display_name":"Humberto P\u00e9rez-Espinosa","orcid":"https://orcid.org/0000-0002-2331-1800"},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Humberto P\u00e9rez Espinosa","raw_affiliation_strings":["BUAP, Puebla, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BUAP, Puebla, Mexico","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076464455","display_name":"Hugo Jair Escalante","orcid":"https://orcid.org/0000-0003-4603-3513"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Hugo Jair Escalante","raw_affiliation_strings":["INAOE, Puebla, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INAOE, Puebla, Mexico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053929522","display_name":"Luis Villase\u00f1or-Pineda","orcid":"https://orcid.org/0000-0003-1294-9128"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Luis Villase\u00f1or-Pineda","raw_affiliation_strings":["INAOE, Puebla, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INAOE, Puebla, Mexico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050780136","display_name":"Manuel Montes-y-G\u00f3mez","orcid":"https://orcid.org/0000-0002-7601-501X"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Manuel Montes-y-G\u00f3mez","raw_affiliation_strings":["INAOE, Puebla, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INAOE, Puebla, Mexico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016612157","display_name":"David Pinto","orcid":"https://orcid.org/0000-0002-8516-5925"},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"David Pinto-Aveda\u00f1o","raw_affiliation_strings":["BUAP, Puebla, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BUAP, Puebla, Mexico","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075465571","display_name":"Ver\u00f3nica Reyes\u2010Meza","orcid":"https://orcid.org/0000-0002-2745-4032"},"institutions":[{"id":"https://openalex.org/I141467249","display_name":"Universidad Popular Aut\u00f3noma del Estado de Puebla","ror":"https://ror.org/00njxm476","country_code":"MX","type":"education","lineage":["https://openalex.org/I141467249"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Veronica Reyez-Meza","raw_affiliation_strings":["UPAEP, Puebla, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UPAEP, Puebla, Mexico","institution_ids":["https://openalex.org/I141467249"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7178,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.95593356,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"49","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9988999962806702,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.6670023798942566},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5956717133522034},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.570436954498291},{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.5608582496643066},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5425710082054138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4913910925388336},{"id":"https://openalex.org/keywords/silence","display_name":"Silence","score":0.4912809729576111},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.48809918761253357},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4632272720336914},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.45054519176483154},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4343183636665344},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3978881537914276},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3778282701969147},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3735555410385132},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1495676040649414},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12549817562103271}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6670023798942566},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5956717133522034},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.570436954498291},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.5608582496643066},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5425710082054138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4913910925388336},{"id":"https://openalex.org/C2781115785","wikidata":"https://www.wikidata.org/wiki/Q502261","display_name":"Silence","level":2,"score":0.4912809729576111},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.48809918761253357},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4632272720336914},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.45054519176483154},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4343183636665344},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3978881537914276},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3778282701969147},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3735555410385132},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1495676040649414},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12549817562103271},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2661806.2661815","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661806.2661815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7365907675","display_name":null,"funder_award_id":"42996-290807","funder_id":"https://openalex.org/F4320321739","funder_display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda"}],"funders":[{"id":"https://openalex.org/F4320321739","display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","ror":"https://ror.org/059ex5q34"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W138227583","https://openalex.org/W1560724230","https://openalex.org/W1583700199","https://openalex.org/W1746819321","https://openalex.org/W1789721553","https://openalex.org/W1976066595","https://openalex.org/W2023687307","https://openalex.org/W2035804753","https://openalex.org/W2049515993","https://openalex.org/W2056403322","https://openalex.org/W2089787547","https://openalex.org/W2133990480","https://openalex.org/W2164598857","https://openalex.org/W2419658023","https://openalex.org/W3216401400","https://openalex.org/W4211049957","https://openalex.org/W6629804754"],"related_works":["https://openalex.org/W2140535326","https://openalex.org/W1607271848","https://openalex.org/W4251121070","https://openalex.org/W2734809835","https://openalex.org/W3000097931","https://openalex.org/W2184961913","https://openalex.org/W2354322770","https://openalex.org/W1965764303","https://openalex.org/W2750153830","https://openalex.org/W2214987084"],"abstract_inverted_index":{"Depression":[0],"is":[1,30,56,116,165,172],"a":[2,6,27,114,158],"disease":[3,40],"that":[4,130],"affects":[5],"considerable":[7],"portion":[8],"of":[9,15,22,38,52,59,75,92,126],"the":[10,19,36,39,72,90,93,170],"world":[11],"population.":[12],"Severe":[13],"cases":[14],"depression":[16,55,76,84,138],"interfere":[17],"with":[18,54],"common":[20],"live":[21],"patients,":[23],"for":[24,136,160],"those":[25],"patients":[26,53],"strict":[28],"monitoring":[29,61,74],"necessary":[31],"in":[32,89],"order":[33],"to":[34,42,49,83,118],"control":[35],"progress":[37],"and":[41,111,148,156],"prevent":[43],"undesired":[44],"side":[45],"effects.":[46],"A":[47],"way":[48],"keep":[50],"track":[51],"by":[57,107],"means":[58],"online":[60,73],"via":[62],"human-computer-interaction.":[63],"The":[64,96,122,162],"AVEC'14":[65,94],"challenge":[66],"aims":[67],"at":[68],"developing":[69],"technology":[70],"towards":[71],"patients.":[77],"This":[78],"paper":[79],"describes":[80],"an":[81,101],"approach":[82],"recognition":[85,139],"from":[86,146],"audiovisual":[87],"information":[88,145],"context":[91],"challenge.":[95],"proposed":[97,163],"method":[98,171],"relies":[99],"on":[100],"effective":[102],"voice":[103,147],"segmentation":[104],"procedure,":[105],"followed":[106],"segment-level":[108],"feature":[109],"extraction":[110],"aggregation.":[112],"Finally,":[113],"meta-model":[115,159],"trained":[117],"fuse":[119],"mono-modal":[120],"information.":[121],"main":[123],"novel":[124],"features":[125,155],"our":[127],"proposal":[128],"are":[129],"(1)":[131],"we":[132,142,153],"use":[133,157],"affective":[134],"dimensions":[135],"building":[137],"models;":[140],"(2)":[141],"extract":[143],"visual":[144],"silence":[149],"segments":[150],"separately;":[151],"(3)":[152],"consolidate":[154],"fusion.":[161],"methodology":[164],"evaluated,":[166],"experimental":[167],"results":[168],"reveal":[169],"competitive.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}