{"id":"https://openalex.org/W1522926906","doi":"https://doi.org/10.1109/icdsp.2015.7252078","title":"Monogenic Riesz wavelet representation for micro-expression recognition","display_name":"Monogenic Riesz wavelet representation for micro-expression recognition","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1522926906","doi":"https://doi.org/10.1109/icdsp.2015.7252078","mag":"1522926906"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2015.7252078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2015.7252078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Monogenic_Riesz_wavelet_representation_for_micro-expression_recognition/20777227","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015735679","display_name":"Yee-Hui Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Yee-Hui Oh","raw_affiliation_strings":["Multimedia University, Cyberjaya, Malaysia"],"affiliations":[{"raw_affiliation_string":"Multimedia University, Cyberjaya, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001377818","display_name":"Anh Cat Le Ngo","orcid":null},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Anh Cat Le Ngo","raw_affiliation_strings":["Multimedia University, Cyberjaya, Malaysia"],"affiliations":[{"raw_affiliation_string":"Multimedia University, Cyberjaya, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076753547","display_name":"John See","orcid":"https://orcid.org/0000-0003-3005-4109"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"John See","raw_affiliation_strings":["Multimedia University, Melaka, Melaka, MY"],"affiliations":[{"raw_affiliation_string":"Multimedia University, Melaka, Melaka, MY","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001555686","display_name":"Sze\u2010Teng Liong","orcid":"https://orcid.org/0000-0002-3867-1964"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Sze-Teng Liong","raw_affiliation_strings":["University of Malaya, Wilayah Persekutuan Kuala Lumpur, Malaysia"],"affiliations":[{"raw_affiliation_string":"University of Malaya, Wilayah Persekutuan Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066166428","display_name":"Rapha\u00ebl C.\u2010W. Phan","orcid":"https://orcid.org/0000-0001-7448-4595"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Raphael C.-W. Phan","raw_affiliation_strings":["Multimedia University, Melaka, Melaka, MY"],"affiliations":[{"raw_affiliation_string":"Multimedia University, Melaka, Melaka, MY","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070170551","display_name":"Huo-Chong Ling","orcid":"https://orcid.org/0000-0002-3173-0562"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Huo-Chong Ling","raw_affiliation_strings":["Multimedia University, Cyberjaya, Malaysia"],"affiliations":[{"raw_affiliation_string":"Multimedia University, Cyberjaya, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5015735679"],"corresponding_institution_ids":["https://openalex.org/I173029219"],"apc_list":null,"apc_paid":null,"fwci":5.0502,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.96858475,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1237","last_page":"1241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.996999979019165,"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/T10057","display_name":"Face and Expression Recognition","score":0.996999979019165,"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/T10860","display_name":"Speech and Audio Processing","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13289","display_name":"Infant Health and Development","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7503950595855713},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.6776236295700073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6390581130981445},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5819412469863892},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5624701380729675},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5608314871788025},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5541415214538574},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.551962673664093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5375852584838867},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4846544861793518},{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.4758974015712738},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.44101086258888245},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.413571298122406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.365631639957428},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.2914420962333679}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7503950595855713},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.6776236295700073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6390581130981445},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5819412469863892},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5624701380729675},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5608314871788025},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5541415214538574},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.551962673664093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5375852584838867},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4846544861793518},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.4758974015712738},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.44101086258888245},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.413571298122406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.365631639957428},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.2914420962333679},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icdsp.2015.7252078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2015.7252078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30121467","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:espace.curtin.edu.au:20.500.11937/71009","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11937/71009","pdf_url":null,"source":{"id":"https://openalex.org/S4306401790","display_name":"eSpace (Curtin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205640436","host_organization_name":"Curtin University","host_organization_lineage":["https://openalex.org/I205640436"],"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":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20777227","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Monogenic_Riesz_wavelet_representation_for_micro-expression_recognition/20777227","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20777227","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Monogenic_Riesz_wavelet_representation_for_micro-expression_recognition/20777227","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326578","display_name":"Telekom Malaysia Berhad","ror":"https://ror.org/00s3fdw25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1571620383","https://openalex.org/W1809872410","https://openalex.org/W1854318472","https://openalex.org/W1975104124","https://openalex.org/W2006426145","https://openalex.org/W2006932513","https://openalex.org/W2031823405","https://openalex.org/W2041772080","https://openalex.org/W2044106642","https://openalex.org/W2049310893","https://openalex.org/W2105454289","https://openalex.org/W2108094420","https://openalex.org/W2109622017","https://openalex.org/W2110816694","https://openalex.org/W2115626693","https://openalex.org/W2128035438","https://openalex.org/W2135269154","https://openalex.org/W2139916508","https://openalex.org/W2163352848","https://openalex.org/W2166626612","https://openalex.org/W2399188776","https://openalex.org/W2538953432","https://openalex.org/W6677355743","https://openalex.org/W6679115558","https://openalex.org/W6713174665"],"related_works":["https://openalex.org/W2900715739","https://openalex.org/W2289496068","https://openalex.org/W2043864454","https://openalex.org/W2547116720","https://openalex.org/W2188831877","https://openalex.org/W3125885229","https://openalex.org/W1483460610","https://openalex.org/W1971646133","https://openalex.org/W2828181497","https://openalex.org/W4287635664"],"abstract_inverted_index":{"A":[0],"monogenic":[1,70,84,89,167],"signal":[2,7,168],"is":[3,65],"a":[4,48,109,137,144,151],"two-dimensional":[5],"analytical":[6],"that":[8],"provides":[9],"the":[10,24,82,114,120,132,157,160,165,172],"local":[11],"information":[12],"of":[13,26,79,159],"magnitude,":[14],"phase,":[15],"and":[16,28,117,128,141],"orientation.":[17],"While":[18],"it":[19],"has":[20],"been":[21],"applied":[22,102],"on":[23,150],"field":[25],"face":[27],"expression":[29],"recognition":[30,174],"[1],":[31],"[2],":[32],"[3],":[33],"there":[34],"are":[35,73,134],"no":[36],"known":[37],"usages":[38],"for":[39],"subtle":[40],"facial":[41],"micro-expressions.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46,86],"propose":[47],"feature":[49,107,139],"representation":[50],"method":[51,111,130,162],"which":[52,72,112],"succinctly":[53],"captures":[54],"these":[55,105],"three":[56],"low-level":[57],"components":[58],"at":[59],"multiple":[60,92,106],"scales.":[61],"Riesz":[62],"wavelet":[63],"transform":[64],"employed":[66],"to":[67,103,170],"obtain":[68],"multi-scale":[69,83],"wavelets,":[71],"formulated":[74],"by":[75,143],"quaternion":[76],"representation.":[77],"Instead":[78],"summing":[80],"up":[81],"representations,":[85],"consider":[87],"all":[88],"representations":[90],"across":[91],"scales":[93],"as":[94],"individual":[95],"features.":[96],"For":[97],"classification,":[98],"two":[99],"schemes":[100],"were":[101],"integrate":[104],"representations:":[108],"fusion-based":[110],"combines":[113],"features":[115,133],"efficiently":[116],"discriminately":[118],"using":[119],"ultra-fast,":[121],"optimized":[122],"Multiple":[123],"Kernel":[124],"Learning":[125],"(UFO-MKL)":[126],"algorithm;":[127],"concatenation-based":[129],"where":[131],"combined":[135],"into":[136],"single":[138],"vector":[140],"classified":[142],"linear":[145],"SVM.":[146],"Experiments":[147],"carried":[148],"out":[149],"recent":[152],"spontaneous":[153],"micro-expression":[154,173],"database":[155],"demonstrated":[156],"capability":[158],"proposed":[161],"in":[163],"outperforming":[164],"state-of-the-art":[166],"approach":[169],"solving":[171],"problem.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":6}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
