{"id":"https://openalex.org/W4290716630","doi":"https://doi.org/10.1109/tcsvt.2022.3197420","title":"Video-Based Cross-Modal Auxiliary Network for Multimodal Sentiment Analysis","display_name":"Video-Based Cross-Modal Auxiliary Network for Multimodal Sentiment Analysis","publication_year":2022,"publication_date":"2022-08-08","ids":{"openalex":"https://openalex.org/W4290716630","doi":"https://doi.org/10.1109/tcsvt.2022.3197420"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3197420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3197420","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2208.13954","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102856834","display_name":"Rongfei Chen","orcid":"https://orcid.org/0000-0002-7664-2638"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongfei Chen","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7664-2638","affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065708102","display_name":"Wenju Zhou","orcid":"https://orcid.org/0000-0002-4800-5981"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenju Zhou","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4800-5981","affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100421526","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-4772-3607"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4772-3607","affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066119228","display_name":"Huiyu Zhou","orcid":"https://orcid.org/0000-0003-1634-9840"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huiyu Zhou","raw_affiliation_strings":["School of Computing and Mathematical Sciences, University of Leicester, Leicester, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1634-9840","affiliations":[{"raw_affiliation_string":"School of Computing and Mathematical Sciences, University of Leicester, Leicester, U.K","institution_ids":["https://openalex.org/I153648349"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9428,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.96245704,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"32","issue":"12","first_page":"8703","last_page":"8716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9980000257492065,"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/T11309","display_name":"Music and Audio Processing","score":0.9980000257492065,"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":0.9896000027656555,"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/T10860","display_name":"Speech and Audio Processing","score":0.9835000038146973,"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":0.8459806442260742},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6566404104232788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5940639972686768},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5673999190330505},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5558724999427795},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.487016499042511},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.46091559529304504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4581230878829956},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4260503649711609},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.42087408900260925},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35151606798171997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3282700777053833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8459806442260742},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6566404104232788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5940639972686768},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5673999190330505},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5558724999427795},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.487016499042511},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.46091559529304504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4581230878829956},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4260503649711609},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.42087408900260925},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35151606798171997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3282700777053833},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcsvt.2022.3197420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3197420","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2208.13954","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.13954","pdf_url":"https://arxiv.org/pdf/2208.13954","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"},{"id":"pmh:oai:figshare.com:article/20383845","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Video_based_Cross-modal_Auxiliary_Network_for_Multimodal_Sentiment_Analysis/20383845","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2208.13954","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.13954","pdf_url":"https://arxiv.org/pdf/2208.13954","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":[{"id":"https://openalex.org/G6479659876","display_name":null,"funder_award_id":"61877065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W189934255","https://openalex.org/W1780253070","https://openalex.org/W2097117768","https://openalex.org/W2112334787","https://openalex.org/W2194775991","https://openalex.org/W2221884226","https://openalex.org/W2497880326","https://openalex.org/W2520141791","https://openalex.org/W2583591231","https://openalex.org/W2584561145","https://openalex.org/W2618530766","https://openalex.org/W2703895418","https://openalex.org/W2740550900","https://openalex.org/W2747506362","https://openalex.org/W2747664154","https://openalex.org/W2767744275","https://openalex.org/W2784665486","https://openalex.org/W2803193013","https://openalex.org/W2883409523","https://openalex.org/W2883507200","https://openalex.org/W2888650348","https://openalex.org/W2899197626","https://openalex.org/W2904893831","https://openalex.org/W2905562398","https://openalex.org/W2905628412","https://openalex.org/W2908671501","https://openalex.org/W2918087949","https://openalex.org/W2963125010","https://openalex.org/W2963710346","https://openalex.org/W2964300796","https://openalex.org/W2964346351","https://openalex.org/W2974743569","https://openalex.org/W2979331346","https://openalex.org/W2982341941","https://openalex.org/W2994718079","https://openalex.org/W3017275892","https://openalex.org/W3027409733","https://openalex.org/W3033387233","https://openalex.org/W3048093647","https://openalex.org/W3093051361","https://openalex.org/W3095191006","https://openalex.org/W3105287035","https://openalex.org/W3112532377","https://openalex.org/W3116238789","https://openalex.org/W3123129707","https://openalex.org/W3134063422","https://openalex.org/W3137028092","https://openalex.org/W3153807302","https://openalex.org/W3155551469","https://openalex.org/W3166307357","https://openalex.org/W3174134652","https://openalex.org/W3206529771","https://openalex.org/W3211666705","https://openalex.org/W3214432797","https://openalex.org/W4205383840","https://openalex.org/W4210969683","https://openalex.org/W4312639100","https://openalex.org/W6607669515"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2510961579","https://openalex.org/W2156571267"],"abstract_inverted_index":{"Multimodal":[0],"sentiment":[1,130,161],"analysis":[2],"has":[3],"a":[4,44,62,117],"wide":[5],"range":[6],"of":[7,38,55,121,159],"applications":[8],"due":[9],"to":[10,71,81,95,105,128,150],"its":[11],"information":[12],"complementarity":[13],"in":[14,76],"multimodal":[15,39,160],"interactions.":[16],"Previous":[17],"works":[18],"focus":[19],"more":[20,87],"on":[21,138],"investigating":[22],"efficient":[23],"joint":[24],"representations,":[25],"but":[26],"they":[27],"rarely":[28],"consider":[29],"the":[30,93,100,108,151,156],"insufficient":[31],"unimodal":[32],"features":[33,58],"extraction":[34],"and":[35,61,132,141],"data":[36],"redundancy":[37],"fusion.":[40],"In":[41],"this":[42],"paper,":[43],"Video-based":[45],"Cross-modal":[46],"Auxiliary":[47],"Network":[48],"(VCAN)":[49],"is":[50,53,69,103,126,147],"proposed,":[51],"which":[52],"comprised":[54],"an":[56],"audio":[57,77],"map":[59],"module":[60,68,102],"cross-modal":[63],"selection":[64],"module.":[65],"The":[66],"first":[67],"designed":[70],"substantially":[72],"increase":[73],"feature":[74,78],"diversity":[75],"extraction,":[79],"aiming":[80],"improve":[82],"classification":[83,124,157],"accuracy":[84,158],"by":[85],"providing":[86],"comprehensive":[88],"acoustic":[89],"representations.":[90],"To":[91],"empower":[92],"model":[94],"handle":[96],"redundant":[97,109],"visual":[98,110],"features,":[99],"second":[101],"addressed":[104],"efficiently":[106],"filter":[107],"frames":[111],"during":[112],"integrating":[113],"audiovisual":[114],"data.":[115],"Moreover,":[116],"classifier":[118],"group":[119],"consisting":[120],"several":[122],"image":[123],"networks":[125],"introduced":[127],"predict":[129],"polarities":[131],"emotion":[133],"categories.":[134],"Extensive":[135],"experimental":[136],"results":[137],"RAVDESS,":[139],"CMU-MOSI,":[140],"CMU-MOSEI":[142],"benchmarks":[143],"indicate":[144],"that":[145],"VCAN":[146],"significantly":[148],"superior":[149],"state-of-the-art":[152],"methods":[153],"for":[154],"improving":[155],"analysis.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":7}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}
