{"id":"https://openalex.org/W2883752401","doi":"https://doi.org/10.1109/taffc.2018.2854166","title":"Sparse MDMO: Learning a Discriminative Feature for Spontaneous Micro-Expression Recognition","display_name":"Sparse MDMO: Learning a Discriminative Feature for Spontaneous Micro-Expression Recognition","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2883752401","doi":"https://doi.org/10.1109/taffc.2018.2854166","mag":"2883752401"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2018.2854166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2018.2854166","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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 Affective Computing","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/A5008076279","display_name":"Yong\u2010Jin Liu","orcid":"https://orcid.org/0000-0001-5774-1916"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong-Jin Liu","raw_affiliation_strings":["Department of Computer Science and Technology, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101530081","display_name":"Bingjun Li","orcid":"https://orcid.org/0000-0002-6239-4127"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing-Jun Li","raw_affiliation_strings":["Department of Computer Science and Technology, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067850699","display_name":"Yu\u2010Kun Lai","orcid":"https://orcid.org/0000-0002-2094-5680"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yu-Kun Lai","raw_affiliation_strings":["School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom","institution_ids":["https://openalex.org/I79510175"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.284,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.96698039,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9936000108718872,"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":0.9936000108718872,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9783999919891357,"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/discriminative-model","display_name":"Discriminative model","score":0.692592442035675},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6876291632652283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6853864789009094},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6372023224830627},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6103037595748901},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5402746796607971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5336414575576782},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.516688346862793},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46463635563850403},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.42584747076034546},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.08762258291244507},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06329792737960815}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.692592442035675},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6876291632652283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6853864789009094},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6372023224830627},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6103037595748901},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5402746796607971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5336414575576782},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.516688346862793},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46463635563850403},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.42584747076034546},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.08762258291244507},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06329792737960815},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/taffc.2018.2854166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2018.2854166","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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 Affective Computing","raw_type":"journal-article"},{"id":"pmh:oai:https://orca.cardiff.ac.uk:112895","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:http://orca-dev.cardiff.ac.uk:112895","is_oa":false,"landing_page_url":"https://orca.cardiff.ac.uk/id/eprint/112895/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1963932623","https://openalex.org/W1974573780","https://openalex.org/W1984553375","https://openalex.org/W2001862790","https://openalex.org/W2006426145","https://openalex.org/W2027805700","https://openalex.org/W2044106642","https://openalex.org/W2050006306","https://openalex.org/W2052575990","https://openalex.org/W2059068649","https://openalex.org/W2072038603","https://openalex.org/W2101866605","https://openalex.org/W2128730107","https://openalex.org/W2129812935","https://openalex.org/W2139916508","https://openalex.org/W2140245639","https://openalex.org/W2145310492","https://openalex.org/W2153635508","https://openalex.org/W2156489769","https://openalex.org/W2160547390","https://openalex.org/W2162931300","https://openalex.org/W2166626612","https://openalex.org/W2249595199","https://openalex.org/W2269299223","https://openalex.org/W2282546360","https://openalex.org/W2325343629","https://openalex.org/W2327049400","https://openalex.org/W2342983306","https://openalex.org/W2526853616","https://openalex.org/W2527254703","https://openalex.org/W2587585332","https://openalex.org/W2608034484","https://openalex.org/W2611154248","https://openalex.org/W2995034616","https://openalex.org/W3103539074","https://openalex.org/W4285719527","https://openalex.org/W4309301076","https://openalex.org/W6683965311","https://openalex.org/W6736917304","https://openalex.org/W6737023044"],"related_works":["https://openalex.org/W2729514902","https://openalex.org/W2024160000","https://openalex.org/W2061273563","https://openalex.org/W2285052147","https://openalex.org/W2970216048","https://openalex.org/W2944661354","https://openalex.org/W1461621550","https://openalex.org/W2020350089","https://openalex.org/W2773500201","https://openalex.org/W4367316362"],"abstract_inverted_index":{"Micro-expressions":[0],"are":[1],"the":[2,35,53,69,77,83,115,121,129,146],"rapid":[3],"movements":[4],"of":[5,25,62,117],"facial":[6],"muscles":[7],"that":[8,95,180],"can":[9,74,126],"be":[10],"used":[11],"to":[12],"reveal":[13,128],"concealed":[14],"emotions.":[15],"Recognizing":[16],"them":[17],"from":[18,100],"video":[19,51,103],"clips":[20],"has":[21],"a":[22,50,60,91,101,107],"wide":[23],"range":[24],"applications":[26],"and":[27,158,165,174],"receives":[28],"increasing":[29],"attention":[30],"recently.":[31],"Among":[32],"existing":[33],"methods,":[34],"main":[36],"directional":[37],"mean":[38],"optical-flow":[39],"(MDMO)":[40],"feature":[41,55,84,94,123,137],"achieves":[42],"state-of-the-art":[43],"performance":[44],"for":[45],"recognizing":[46],"spontaneous":[47,169],"micro-expressions.":[48],"For":[49],"clip,":[52],"MDMO":[54,73,93,122,136,157,164,182],"is":[56,111,138],"computed":[57],"by":[58,140],"averaging":[59],"set":[61],"atomic":[63],"features":[64,161],"frame-by-frame.":[65],"Despite":[66],"its":[67],"simplicity,":[68],"average":[70],"operation":[71],"in":[72,82,120],"easily":[75],"lose":[76],"underlying":[78,130],"manifold":[79,131],"structure":[80],"inherent":[81],"space.":[85],"In":[86,105],"this":[87,142],"paper":[88],"we":[89],"propose":[90],"sparse":[92,135,150,156,181],"learns":[96],"an":[97],"effective":[98],"dictionary":[99],"micro-expression":[102,170],"dataset.":[104],"particular,":[106],"new":[108,143],"distance":[109],"metric":[110,144],"proposed":[112,134],"based":[113],"on":[114,167],"sparsity":[116],"sample":[118],"points":[119],"space,":[124],"which":[125],"efficiently":[127],"structure.":[132],"The":[133,177],"obtained":[139],"incorporating":[141],"into":[145],"classic":[147],"graph":[148],"regularized":[149],"coding":[151],"(GraphSC)":[152],"scheme.":[153],"We":[154],"evaluate":[155],"four":[159],"representative":[160,185],"(LBP-TOP,":[162],"STCLQP,":[163],"FDM)":[166],"three":[168],"datasets":[171],"(SMIC,":[172],"CASME":[173,175],"II).":[176],"results":[178],"show":[179],"outperforms":[183],"these":[184],"features.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}