{"id":"https://openalex.org/W2165283290","doi":"https://doi.org/10.1109/cvpr.2008.4587717","title":"Facial expression recognition using encoded dynamic features","display_name":"Facial expression recognition using encoded dynamic features","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2165283290","doi":"https://doi.org/10.1109/cvpr.2008.4587717","mag":"2165283290"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","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/A5076720384","display_name":"Peng Yang","orcid":"https://orcid.org/0000-0001-5333-6155"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peng Yang","raw_affiliation_strings":["Computer Science Department, Rutgers University, Piscataway, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404959","display_name":"Qingshan Liu","orcid":"https://orcid.org/0000-0002-5512-6984"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Qingshan Liu","raw_affiliation_strings":["Computer Science Department, Rutgers University, Piscataway, NJ, USA","National Laboratory of Pattern Recognition, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038890073","display_name":"Xinyi Cui","orcid":"https://orcid.org/0000-0003-1411-9558"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinyi Cui","raw_affiliation_strings":["Computer Science Department, Rutgers University, Piscataway, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109600054","display_name":"Dimitris Metaxas","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitris N. Metaxas","raw_affiliation_strings":["Computer Science Department, Rutgers University, Piscataway, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.504,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.95394828,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9983000159263611,"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":0.991100013256073,"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":0.7564343214035034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7103676199913025},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6487404108047485},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.640572190284729},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5991409420967102},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5905954241752625},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5239260792732239},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5212553143501282},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.4593622386455536},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.4482656419277191},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.42051199078559875},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.4153353273868561},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3690774440765381},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29454758763313293},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.1707066297531128}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7564343214035034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7103676199913025},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6487404108047485},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.640572190284729},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5991409420967102},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5905954241752625},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5239260792732239},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5212553143501282},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.4593622386455536},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.4482656419277191},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.42051199078559875},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.4153353273868561},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3690774440765381},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29454758763313293},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.1707066297531128},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2008.4587717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1481193933","https://openalex.org/W1509031088","https://openalex.org/W1602126825","https://openalex.org/W1689217848","https://openalex.org/W1964422354","https://openalex.org/W2033773055","https://openalex.org/W2038952578","https://openalex.org/W2051068139","https://openalex.org/W2108113956","https://openalex.org/W2108385997","https://openalex.org/W2112120662","https://openalex.org/W2115941714","https://openalex.org/W2125127226","https://openalex.org/W2127986803","https://openalex.org/W2137883513","https://openalex.org/W2139916508","https://openalex.org/W2140351517","https://openalex.org/W2143245774","https://openalex.org/W2146682940","https://openalex.org/W2154412566","https://openalex.org/W2154716422","https://openalex.org/W2156503193","https://openalex.org/W2159017231","https://openalex.org/W2159315158","https://openalex.org/W2161612652","https://openalex.org/W2161623217","https://openalex.org/W2162238004","https://openalex.org/W3097096317","https://openalex.org/W3141774725","https://openalex.org/W4239078262","https://openalex.org/W6635832628","https://openalex.org/W6676019839","https://openalex.org/W6677152660","https://openalex.org/W6682887448","https://openalex.org/W6683492740"],"related_works":["https://openalex.org/W2189295201","https://openalex.org/W2903783634","https://openalex.org/W2129936833","https://openalex.org/W1831484856","https://openalex.org/W31232657","https://openalex.org/W2347993890","https://openalex.org/W2110803500","https://openalex.org/W2047897785","https://openalex.org/W1991672566","https://openalex.org/W2900219480"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,43,67],"propose":[4],"a":[5,23],"novel":[6],"framework":[7],"for":[8],"video-based":[9],"facial":[10,34,49,71],"expression":[11,86],"recognition,":[12],"which":[13],"can":[14],"handle":[15],"the":[16,29,48,54,63,70,85,92,97,109,113,119,123,127],"data":[17],"with":[18],"various":[19],"time":[20,110],"resolution":[21,111],"including":[22],"single":[24],"frame.":[25],"We":[26],"first":[27],"use":[28],"haar-like":[30],"features":[31,51],"to":[32,37,52,83,89],"represent":[33],"appearance,":[35],"due":[36],"their":[38],"simplicity":[39],"and":[40,102],"effectiveness.":[41],"Then":[42],"perform":[44],"K-Means":[45],"clustering":[46],"on":[47,62,108,118],"appearance":[50,72],"explore":[53],"intrinsic":[55,98],"temporal":[56,64],"patterns":[57,95],"of":[58,100,112,126],"each":[59],"expression.":[60],"Based":[61],"pattern":[65],"models,":[66],"further":[68],"map":[69],"variations":[73],"into":[74],"dynamic":[75,93],"binary":[76,94],"patterns.":[77],"Finally,":[78],"boosting":[79],"learning":[80],"is":[81],"performed":[82],"construct":[84],"classifiers.":[87],"Compared":[88],"previous":[90],"work,":[91],"encode":[96],"dynamics":[99],"expression,":[101],"our":[103],"method":[104],"makes":[105],"no":[106],"assumption":[107],"data.":[114],"Extensive":[115],"experiments":[116],"carried":[117],"Cohn-Kanade":[120],"database":[121],"show":[122],"promising":[124],"performance":[125],"proposed":[128],"method.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}