{"id":"https://openalex.org/W2088014842","doi":"https://doi.org/10.1109/wifs.2014.7084321","title":"Video forensics based on expression dynamics","display_name":"Video forensics based on expression dynamics","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2088014842","doi":"https://doi.org/10.1109/wifs.2014.7084321","mag":"2088014842"},"language":"en","primary_location":{"id":"doi:10.1109/wifs.2014.7084321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2014.7084321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Workshop on Information Forensics and Security (WIFS)","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/A5064606251","display_name":"Duc\u2010Tien Dang\u2010Nguyen","orcid":"https://orcid.org/0000-0002-2761-2213"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Duc-Tien Dang-Nguyen","raw_affiliation_strings":["DIEE, University of Cagliari, Italy","DIEE-University of Cagliari, Italy"],"affiliations":[{"raw_affiliation_string":"DIEE, University of Cagliari, Italy","institution_ids":["https://openalex.org/I172446870"]},{"raw_affiliation_string":"DIEE-University of Cagliari, Italy","institution_ids":["https://openalex.org/I172446870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070133907","display_name":"Valentina Conotter","orcid":null},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Valentina Conotter","raw_affiliation_strings":["DISI, University of Trento, Italy","DISI, Univ. of Trento, Italy"],"affiliations":[{"raw_affiliation_string":"DISI, University of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"DISI, Univ. of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028899632","display_name":"Giulia Boato","orcid":"https://orcid.org/0000-0002-0260-9528"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulia Boato","raw_affiliation_strings":["DISI, University of Trento, Italy","DISI, Univ. of Trento, Italy"],"affiliations":[{"raw_affiliation_string":"DISI, University of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"DISI, Univ. of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068660181","display_name":"Francesco G. B. De Natale","orcid":"https://orcid.org/0000-0003-2566-6995"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco G. B. De Natale","raw_affiliation_strings":["DISI, University of Trento, Italy","DISI, Univ. of Trento, Italy"],"affiliations":[{"raw_affiliation_string":"DISI, University of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"DISI, Univ. of Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064606251"],"corresponding_institution_ids":["https://openalex.org/I172446870"],"apc_list":null,"apc_paid":null,"fwci":0.4941,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70981576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7870","issue":null,"first_page":"161","last_page":"166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998999834060669,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9998999834060669,"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":0.9991000294685364,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9980000257492065,"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":0.8065944910049438},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.77280592918396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.564311146736145},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5240561962127686},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49698904156684875},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.48962217569351196},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.45307043194770813},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.45077160000801086},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4243134558200836},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4190448820590973},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3943822681903839},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.285963773727417}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8065944910049438},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.77280592918396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.564311146736145},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5240561962127686},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49698904156684875},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.48962217569351196},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.45307043194770813},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.45077160000801086},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4243134558200836},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4190448820590973},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3943822681903839},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.285963773727417},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wifs.2014.7084321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs.2014.7084321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unitn.it:11572/101095","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/101095","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"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":[{"display_name":"Peace, Justice and strong institutions","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W305574147","https://openalex.org/W1596560700","https://openalex.org/W1800329471","https://openalex.org/W1888163445","https://openalex.org/W1974436615","https://openalex.org/W1998022503","https://openalex.org/W1998042209","https://openalex.org/W2046943827","https://openalex.org/W2058339363","https://openalex.org/W2062503914","https://openalex.org/W2098030814","https://openalex.org/W2099013489","https://openalex.org/W2102258637","https://openalex.org/W2141698957","https://openalex.org/W2144548082","https://openalex.org/W2147141800","https://openalex.org/W2153635508","https://openalex.org/W2164147879","https://openalex.org/W2164322079","https://openalex.org/W2542826708","https://openalex.org/W2995034616","https://openalex.org/W4244098250","https://openalex.org/W4285719527","https://openalex.org/W6610651390","https://openalex.org/W6662108645","https://openalex.org/W6680759359"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2044956415","https://openalex.org/W2221819563"],"abstract_inverted_index":{"Digital":[0],"graphics":[1],"tools":[2],"are":[3],"nowadays":[4],"capable":[5],"of":[6,16,39,46,65,81,90,127,138,159],"rendering":[7,101],"highly":[8],"photorealistic":[9],"imagery,":[10],"which":[11,25],"easily":[12],"puzzle":[13],"our":[14],"perception":[15],"reality.":[17],"This":[18],"poses":[19],"serious":[20],"ethical":[21],"and":[22,96,143],"legal":[23],"issues,":[24],"in":[26,73,93],"turn":[27],"create":[28],"the":[29,37,63,77,87,123,157,160],"need":[30],"for":[31],"further":[32],"technologies":[33],"able":[34],"to":[35,61,148],"ensure":[36],"trustworthiness":[38],"digital":[40],"media":[41],"as":[42],"a":[43,57,82,136],"true":[44],"representation":[45],"reality,":[47],"especially":[48],"when":[49],"depicting":[50],"humans.":[51,98,129],"In":[52],"this":[53],"work,":[54],"we":[55],"propose":[56],"novel":[58],"forensic":[59],"technique":[60],"tackle":[62],"problem":[64],"distinguishing":[66],"computer":[67],"generated":[68],"(CG)":[69],"from":[70,122,151],"real":[71,97,128],"humans":[72],"videos.":[74],"It":[75],"exploits":[76],"temporal":[78],"information":[79],"inherent":[80],"video":[83],"sequence":[84],"by":[85],"analyzing":[86],"spatio-temporal":[88,144],"appearance":[89,110],"facial":[91,102,141],"expressions":[92],"both":[94],"CG":[95,108,150],"Even":[99],"if":[100],"expression":[103],"has":[104],"reached":[105],"outstanding":[106],"performances,":[107],"face":[109],"over":[111],"time":[112],"still":[113],"presents":[114],"some":[115],"underlying":[116],"mechanical":[117],"properties":[118],"that":[119],"greatly":[120],"differ":[121],"natural":[124],"muscle":[125],"movements":[126],"We":[130],"build":[131],"an":[132],"efficient":[133],"classifier":[134],"on":[135],"set":[137],"features":[139],"describing":[140],"dynamics":[142],"changes":[145],"during":[146],"smiling":[147],"distinguish":[149],"human":[152],"faces.":[153],"Experimental":[154],"results":[155],"demonstrate":[156],"effectiveness":[158],"proposed":[161],"approach.":[162]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}