{"id":"https://openalex.org/W4293249608","doi":"https://doi.org/10.1145/3538385","title":"Dynamic Transfer Exemplar based Facial Emotion Recognition Model Toward Online Video","display_name":"Dynamic Transfer Exemplar based Facial Emotion Recognition Model Toward Online Video","publication_year":2022,"publication_date":"2022-05-20","ids":{"openalex":"https://openalex.org/W4293249608","doi":"https://doi.org/10.1145/3538385"},"language":"en","primary_location":{"id":"doi:10.1145/3538385","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3538385","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-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/A5013109084","display_name":"Anqi Bi","orcid":"https://orcid.org/0000-0001-6831-3933"},"institutions":[{"id":"https://openalex.org/I21741975","display_name":"Suzhou University of Technology","ror":"https://ror.org/05g6ben79","country_code":"CN","type":"education","lineage":["https://openalex.org/I21741975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"An-Qi Bi","raw_affiliation_strings":["Changshu Institute of Technology, Changshu, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0001-6831-3933","affiliations":[{"raw_affiliation_string":"Changshu Institute of Technology, Changshu, Jiangsu, China","institution_ids":["https://openalex.org/I21741975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084257440","display_name":"Xiaoyang Tian","orcid":"https://orcid.org/0000-0003-4835-8207"},"institutions":[{"id":"https://openalex.org/I21741975","display_name":"Suzhou University of Technology","ror":"https://ror.org/05g6ben79","country_code":"CN","type":"education","lineage":["https://openalex.org/I21741975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Yang Tian","raw_affiliation_strings":["Changshu Institute of Technology, Changshu, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0003-4835-8207","affiliations":[{"raw_affiliation_string":"Changshu Institute of Technology, Changshu, Jiangsu, China","institution_ids":["https://openalex.org/I21741975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007987858","display_name":"Shuihua Wang\u200e","orcid":"https://orcid.org/0000-0003-4713-2791"},"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":"Shui-Hua Wang","raw_affiliation_strings":["University of Leicester, Leicester, UK"],"raw_orcid":"https://orcid.org/0000-0003-4713-2791","affiliations":[{"raw_affiliation_string":"University of Leicester, Leicester, UK","institution_ids":["https://openalex.org/I153648349"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100434437","display_name":"Yudong Zhang","orcid":"https://orcid.org/0000-0002-4870-1493"},"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":"Yu-Dong Zhang","raw_affiliation_strings":["University of Leicester, Leicester, UK"],"raw_orcid":"https://orcid.org/0000-0002-4870-1493","affiliations":[{"raw_affiliation_string":"University of Leicester, Leicester, UK","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":1.0976,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77834469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"18","issue":"2s","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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/T10057","display_name":"Face and Expression Recognition","score":0.998199999332428,"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/T11448","display_name":"Face recognition and analysis","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.792282223701477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6565090417861938},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6282345652580261},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6010931134223938},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5707523822784424},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5623595714569092},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5343244671821594},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.45213714241981506},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4456680715084076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41606825590133667},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.385061651468277},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35410475730895996}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.792282223701477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6565090417861938},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6282345652580261},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6010931134223938},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5707523822784424},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5623595714569092},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5343244671821594},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.45213714241981506},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4456680715084076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41606825590133667},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.385061651468277},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35410475730895996},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3538385","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3538385","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3262552088","display_name":null,"funder_award_id":"202008320052","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1480583224","https://openalex.org/W1835456670","https://openalex.org/W2024515103","https://openalex.org/W2045938006","https://openalex.org/W2097117768","https://openalex.org/W2103943262","https://openalex.org/W2165232124","https://openalex.org/W2288764991","https://openalex.org/W2336160298","https://openalex.org/W2546875627","https://openalex.org/W2556247010","https://openalex.org/W2606933083","https://openalex.org/W2624340939","https://openalex.org/W2748543394","https://openalex.org/W2750599140","https://openalex.org/W2766756589","https://openalex.org/W2792191740","https://openalex.org/W2792578050","https://openalex.org/W2799041689","https://openalex.org/W2905628412","https://openalex.org/W2962737616","https://openalex.org/W2963631961","https://openalex.org/W2964649802","https://openalex.org/W2968176343","https://openalex.org/W2985298645","https://openalex.org/W2989989812","https://openalex.org/W2997244253","https://openalex.org/W3000704572","https://openalex.org/W3003908700","https://openalex.org/W3022266044","https://openalex.org/W3042183479","https://openalex.org/W3044867770","https://openalex.org/W3094151137","https://openalex.org/W3110891612","https://openalex.org/W3124054989","https://openalex.org/W3164454234","https://openalex.org/W3166789519","https://openalex.org/W3175244446","https://openalex.org/W4251223119"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W3192840557","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W3198847674","https://openalex.org/W3096913503"],"abstract_inverted_index":{"In":[0,30,98],"this":[1,86],"article,":[2],"we":[3],"focus":[4],"on":[5,70,106],"the":[6,37,49,55,64,71,82,116,119],"dynamic":[7,50],"facial":[8,51],"emotion":[9,52],"recognition":[10,53,65],"from":[11,43],"online":[12],"video.":[13],"We":[14],"combine":[15],"deep":[16,38],"neural":[17],"networks":[18],"with":[19],"transfer":[20,58],"learning":[21,59],"theory":[22],"and":[23,111],"propose":[24],"a":[25],"novel":[26],"model":[27,67,87],"named":[28],"DT-EFER.":[29],"detail,":[31],"DT-EFER":[32,68,121],"uses":[33],"GoogLeNet":[34],"to":[35,47,62,100],"extract":[36],"features":[39],"of":[40,77,85,118],"key":[41,74],"images":[42,75,79],"video":[44],"clips.":[45],"Then":[46],"solve":[48],"scenario,":[54],"framework":[56],"introduces":[57],"theory.":[60],"Thus,":[61],"improve":[63],"performance,":[66],"focuses":[69],"differences":[72],"between":[73],"instead":[76],"those":[78],"themselves.":[80],"Moreover,":[81],"time":[83],"complexity":[84],"is":[88],"not":[89],"high,":[90],"even":[91],"if":[92],"previous":[93],"exemplars":[94],"are":[95],"introduced":[96],"here.":[97],"contrast":[99],"other":[101],"exemplar-based":[102],"models,":[103],"experiments":[104],"based":[105],"two":[107],"datasets,":[108],"namely,":[109],"BAUM-1s":[110],"Extended":[112],"Cohn\u2013Kanade,":[113],"have":[114],"shown":[115],"efficiency":[117],"proposed":[120],"model.":[122]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
