{"id":"https://openalex.org/W2975349519","doi":"https://doi.org/10.2352/issn.2470-1173.2019.8.imawm-401","title":"Dense prediction for micro-expression spotting based on deep sequence model","display_name":"Dense prediction for micro-expression spotting based on deep sequence model","publication_year":2019,"publication_date":"2019-01-13","ids":{"openalex":"https://openalex.org/W2975349519","doi":"https://doi.org/10.2352/issn.2470-1173.2019.8.imawm-401","mag":"2975349519"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2019.8.imawm-401","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.8.imawm-401","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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/A5079469421","display_name":"Thuong-Khanh Tran","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Thuong-Khanh Tran","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073942828","display_name":"Quang-Nhat Vo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quang-Nhat Vo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026880795","display_name":"Xiaopeng Hong","orcid":"https://orcid.org/0000-0002-0611-0636"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaopeng Hong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5082301986","display_name":"Guoying Zhao","orcid":"https://orcid.org/0000-0003-3694-206X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guoying Zhao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079469421"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2147,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.83525014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"31","issue":"8","first_page":"401","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9814000129699707,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9814000129699707,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9686999917030334,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spotting","display_name":"Spotting","score":0.977267861366272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8009662628173828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7611952424049377},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6207529306411743},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.608023464679718},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6059088110923767},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5827317833900452},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5568166375160217},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5475937724113464},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5466433763504028},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5221267342567444},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3610914647579193}],"concepts":[{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.977267861366272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8009662628173828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7611952424049377},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6207529306411743},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.608023464679718},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6059088110923767},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5827317833900452},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5568166375160217},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5475937724113464},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5466433763504028},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5221267342567444},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3610914647579193},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2352/issn.2470-1173.2019.8.imawm-401","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.8.imawm-401","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},{"id":"pmh:oai:oulu.fi:nbnfi-fe2020042722471","is_oa":false,"landing_page_url":"http://urn.fi/urn:nbn:fi-fe2020042722471","pdf_url":null,"source":{"id":"https://openalex.org/S4306400284","display_name":"University of Oulu Repository (University of Oulu)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98381234","host_organization_name":"University of Oulu","host_organization_lineage":["https://openalex.org/I98381234"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W4223943233","https://openalex.org/W4312200629","https://openalex.org/W4360585206","https://openalex.org/W4364306694","https://openalex.org/W4380086463","https://openalex.org/W4225161397","https://openalex.org/W3014300295","https://openalex.org/W3164822677","https://openalex.org/W2795261237"],"abstract_inverted_index":{"Micro-expression":[0],"(ME)":[1],"analysis":[2],"has":[3],"been":[4],"becoming":[5],"an":[6],"attractive":[7],"topic":[8],"recently.":[9],"Nevertheless,":[10],"the":[11,18,33,41,44,56,141,146,149,163],"studies":[12],"of":[13,43,55,70,102,110,140,148,159,165],"ME":[14,45,79,91,150,160],"mostly":[15],"focus":[16],"on":[17,94,155],"recognition":[19,29],"task":[20,23,47],"while":[21],"spotting":[22,46,92,161],"is":[24],"rarely":[25],"touched.":[26],"While":[27],"micro-expression":[28],"methods":[30],"have":[31],"obtained":[32],"promising":[34],"results":[35],"by":[36],"applying":[37],"deep":[38,96],"learning":[39],"techniques,":[40],"performance":[42],"still":[48,58],"needs":[49],"to":[50,127,144],"be":[51],"largely":[52],"improved.":[53],"Most":[54],"approaches":[57],"rely":[59],"upon":[60],"traditional":[61],"techniques":[62],"such":[63],"as":[64],"distance":[65],"measurement":[66],"between":[67],"handcrafted":[68],"features":[69],"frames":[71],"which":[72],"are":[73],"not":[74],"robust":[75],"enough":[76],"in":[77],"detecting":[78],"locations":[80],"correctly.":[81],"In":[82],"this":[83],"paper,":[84],"we":[85,112],"propose":[86,126],"a":[87,95,114,129],"novel":[88],"method":[89],"for":[90],"based":[93],"sequence":[97],"model.":[98],"Our":[99],"framework":[100],"consists":[101],"two":[103,156],"main":[104],"steps:":[105],"1)":[106],"From":[107],"each":[108],"position":[109],"video,":[111],"extract":[113],"spatial-temporal":[115],"feature":[116,143],"that":[117,132],"can":[118,133],"discriminate":[119],"MEs":[120],"among":[121],"extrinsic":[122],"movements.":[123],"2)":[124],"We":[125],"use":[128],"LSTM":[130],"network":[131],"utilize":[134],"both":[135],"local":[136],"and":[137],"global":[138],"correlation":[139],"extracted":[142],"predict":[145],"score":[147],"apex":[151],"frame.":[152],"The":[153],"experiments":[154],"publicly":[157],"databases":[158],"demonstrate":[162],"effectiveness":[164],"our":[166],"proposed":[167],"method.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}