{"id":"https://openalex.org/W3107418250","doi":"https://doi.org/10.4018/ijmdem.2020100102","title":"Rank-Pooling-Based Features on Localized Regions for Automatic Micro-Expression Recognition","display_name":"Rank-Pooling-Based Features on Localized Regions for Automatic Micro-Expression Recognition","publication_year":2020,"publication_date":"2020-10-01","ids":{"openalex":"https://openalex.org/W3107418250","doi":"https://doi.org/10.4018/ijmdem.2020100102","mag":"3107418250"},"language":"en","primary_location":{"id":"doi:10.4018/ijmdem.2020100102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijmdem.2020100102","pdf_url":null,"source":{"id":"https://openalex.org/S87630009","display_name":"International Journal of Multimedia Data Engineering and Management","issn_l":"1947-8534","issn":["1947-8534","1947-8542"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Data Engineering and Management","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/A5070238515","display_name":"Trang T. Le","orcid":"https://orcid.org/0000-0003-3737-6565"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Trang Thanh Quynh Le","raw_affiliation_strings":["University of St. Thomas, USA"],"affiliations":[{"raw_affiliation_string":"University of St. Thomas, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079469421","display_name":"Thuong-Khanh Tran","orcid":null},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Thuong-Khanh Tran","raw_affiliation_strings":["University of Oulu, Finland"],"affiliations":[{"raw_affiliation_string":"University of Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038950029","display_name":"Manjeet Rege","orcid":"https://orcid.org/0009-0003-7643-2598"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manjeet Rege","raw_affiliation_strings":["University of St. Thomas, USA"],"affiliations":[{"raw_affiliation_string":"University of St. Thomas, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070238515"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1708,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58319254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":"4","first_page":"25","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9962999820709229,"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":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8210558891296387},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7103232741355896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6582879424095154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6064185500144958},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6050522327423096},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5638217329978943},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5620610117912292},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5189982652664185},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4875194728374481},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4503147602081299},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44796139001846313},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4181399345397949},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3503226339817047},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3412182033061981},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08721679449081421}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8210558891296387},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7103232741355896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6582879424095154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6064185500144958},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6050522327423096},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5638217329978943},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5620610117912292},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5189982652664185},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4875194728374481},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4503147602081299},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44796139001846313},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4181399345397949},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3503226339817047},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3412182033061981},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08721679449081421},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.4018/ijmdem.2020100102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijmdem.2020100102","pdf_url":null,"source":{"id":"https://openalex.org/S87630009","display_name":"International Journal of Multimedia Data Engineering and Management","issn_l":"1947-8534","issn":["1947-8534","1947-8542"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Data Engineering and Management","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jmdem0:v:11:y:2020:i:4:p:25-37","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJMDEM.2020100102","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:oulu.fi:nbnfi-fe202103036401","is_oa":false,"landing_page_url":"http://urn.fi/urn:nbn:fi-fe202103036401","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/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1998391547","https://openalex.org/W2006426145","https://openalex.org/W2139916508","https://openalex.org/W2156489769","https://openalex.org/W2163352848","https://openalex.org/W2170735791","https://openalex.org/W2426188534","https://openalex.org/W2726381870","https://openalex.org/W2760370272","https://openalex.org/W2808103905","https://openalex.org/W2931829804","https://openalex.org/W3035383616","https://openalex.org/W3103539074"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W147410782","https://openalex.org/W4287804464","https://openalex.org/W3022252430","https://openalex.org/W3103989898","https://openalex.org/W2152352598","https://openalex.org/W803346624","https://openalex.org/W2810679507"],"abstract_inverted_index":{"Facial":[0],"micro-expression":[1,25,62],"is":[2,103,122,158],"a":[3,38,67,143],"subtle":[4],"and":[5,13],"involuntary":[6],"facial":[7,84],"expression":[8],"that":[9,76,155],"exhibits":[10],"short":[11],"duration":[12],"low":[14],"intensity":[15],"where":[16],"hidden":[17],"feelings":[18],"can":[19,78],"be":[20,79],"disclosed.":[21],"The":[22,100],"field":[23],"of":[24,41,46,60,151],"analysis":[26],"has":[27],"been":[28],"receiving":[29],"substantial":[30],"awareness":[31],"due":[32],"to":[33,56,91,107],"its":[34],"potential":[35],"values":[36],"in":[37,54,95,136,160],"wide":[39],"variety":[40],"practical":[42],"applications.":[43],"A":[44],"number":[45],"studies":[47],"have":[48],"proposed":[49,101],"sophisticated":[50],"hand-crafted":[51,114],"feature":[52,73,115],"representations":[53],"order":[55],"leverage":[57],"the":[58,96,120,133,149,156],"task":[59],"automatic":[61],"recognition.":[63],"This":[64],"paper":[65],"employs":[66],"dynamic":[68,98],"image":[69],"computation":[70],"method":[71],"for":[72],"extraction":[74],"so":[75],"features":[77],"learned":[80],"on":[81,124,132],"certain":[82],"localized":[83],"regions":[85],"along":[86],"with":[87],"deep":[88],"convolutional":[89],"networks":[90],"identify":[92],"micro-expressions":[93],"presented":[94],"extracted":[97],"images.":[99],"framework":[102,121],"simple":[104],"as":[105,129,131],"opposed":[106],"other":[108],"existing":[109],"frameworks":[110],"which":[111,137],"used":[112],"complex":[113],"descriptors.":[116],"For":[117],"performance":[118],"evaluation,":[119],"tested":[123],"three":[125],"publicly":[126],"available":[127],"databases,":[128],"well":[130],"integrated":[134],"database":[135],"individual":[138],"databases":[139],"are":[140],"merged":[141],"into":[142],"data":[144],"pool.":[145],"Impressive":[146],"results":[147],"from":[148],"series":[150],"experimental":[152],"work":[153],"show":[154],"technique":[157],"promising":[159],"recognizing":[161],"micro-expressions.":[162]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}