{"id":"https://openalex.org/W7128521950","doi":"https://doi.org/10.5391/jkiis.2025.35.6.575","title":"Two-Stage Filtering-Based Video Augmentation Strategy for rPPG-Based Deepfake Detection under Class Imbalance","display_name":"Two-Stage Filtering-Based Video Augmentation Strategy for rPPG-Based Deepfake Detection under Class Imbalance","publication_year":2025,"publication_date":"2025-12-31","ids":{"openalex":"https://openalex.org/W7128521950","doi":"https://doi.org/10.5391/jkiis.2025.35.6.575"},"language":"en","primary_location":{"id":"doi:10.5391/jkiis.2025.35.6.575","doi":"https://doi.org/10.5391/jkiis.2025.35.6.575","is_oa":false,"landing_page_url":"https://doi.org/10.5391/jkiis.2025.35.6.575","pdf_url":null,"source":{"id":"https://openalex.org/S2911927402","display_name":"Journal of Korean institute of intelligent systems","issn_l":"1976-9172","issn":["1976-9172","2288-2324"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4327628602","host_organization_name":"Korean Institute of Intelligent Systems","host_organization_lineage":["https://openalex.org/P4327628602"],"host_organization_lineage_names":["Korean Institute of Intelligent Systems"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Korean Institute of Intelligent Systems","raw_type":"journal-article"},"volume":null,"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/A5125576120","display_name":"Jae-Hwan Jeong","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jae-Hwan Jeong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108325155","display_name":"Gwang-Nam Kim","orcid":"https://orcid.org/0009-0007-8925-3803","observed_orcids":["https://orcid.org/0009-0007-8925-3803"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gwang-Nam Kim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5015344924","display_name":"Seok-Hwan Choi","orcid":"https://orcid.org/0000-0003-3590-6024","observed_orcids":["https://orcid.org/0000-0003-3590-6024"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seok-Hwan Choi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43526238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"6","first_page":"575","last_page":"585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9911999702453613,"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":0.9911999702453613,"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/T10828","display_name":"Biometric Identification and Security","score":0.00279999990016222,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.0012000000569969416,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/remote-photoplethysmography","display_name":"remote photoplethysmography","score":0.7900000214576721},{"id":"https://openalex.org/keywords/deepfake-detection","display_name":"deepfake detection","score":0.9380000233650208},{"id":"https://openalex.org/keywords/video-augmentation","display_name":"video augmentation","score":0.9319999814033508},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.9580000042915344},{"id":"https://openalex.org/keywords/two-stage-filtering","display_name":"two-stage filtering","score":0.925000011920929},{"id":"https://openalex.org/keywords/temporal-continuity","display_name":"temporal continuity","score":0.7900000214576721},{"id":"https://openalex.org/keywords/rule-based-filtering","display_name":"rule-based filtering","score":0.8220000267028809},{"id":"https://openalex.org/keywords/face-anti-spoofing","display_name":"face anti-spoofing","score":0.5950000286102295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5934000015258789},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5491999983787537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4596000015735626},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2612999975681305},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25600001215934753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2522999942302704},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25119999051094055},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.24639999866485596}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5391/jkiis.2025.35.6.575","doi":"https://doi.org/10.5391/jkiis.2025.35.6.575","is_oa":false,"landing_page_url":"https://doi.org/10.5391/jkiis.2025.35.6.575","pdf_url":null,"source":{"id":"https://openalex.org/S2911927402","display_name":"Journal of Korean institute of intelligent systems","issn_l":"1976-9172","issn":["1976-9172","2288-2324"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4327628602","host_organization_name":"Korean Institute of Intelligent Systems","host_organization_lineage":["https://openalex.org/P4327628602"],"host_organization_lineage_names":["Korean Institute of Intelligent Systems"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Korean Institute of Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"\ub525\ud398\uc774\ud06c":[0],"\uae30\uc220\uc774":[1],"\ud655\uc0b0\ud568\uc5d0":[2],"\ub530\ub77c,":[3],"\ub370\uc774\ud130":[4,36],"\ubd88\uade0\ud615\uc73c\ub85c":[5],"\uc778\ud574":[6],"\uc800\ud558\ub418\ub294":[7],"rPPG":[8,31,65],"\uae30\ubc18":[9,63,70],"\ud0d0\uc9c0":[10,73,113],"\ubaa8\ub378\uc758":[11],"\uc131\ub2a5\uc744":[12,74,84,106],"\uac1c\uc120\ud558\uae30":[13],"\uc704\ud55c":[14],"\uc5f0\uad6c\uac00":[15],"\uc911\uc694\ud574\uc9c0\uace0":[16],"\uc788\ub2e4.":[17],"\uadf8\ub7ec\ub098":[18],"\uae30\uc874":[19],"\uc601\uc0c1":[20,49],"\uc99d\uac15":[21,50,76],"\uae30\ubc95\uc740":[22],"\uc0dd\ub9ac":[23],"\uc2e0\ud638\uc758":[24,32,66],"\uc8fc\uae30\uc131\uacfc":[25],"\uc2dc\uac04\uc801":[26,55],"\uc5f0\uc18d\uc131\uc744":[27],"\uc65c\uace1\ud560":[28],"\uc218":[29],"\uc788\uc5b4,":[30],"\ud575\uc2ec":[33],"\ud2b9\uc9d5\uc744":[34],"\ubcf4\uc874\ud558\uba74\uc11c":[35],"\ubd88\uade0\ud615\uc744":[37],"\ud574\uc18c\ud558\ub294":[38],"\ub370":[39],"\ud55c\uacc4\ub97c":[40],"\ubcf4\uc778\ub2e4.":[41],"\ubcf8":[42,80],"\ub17c\ubb38\uc740":[43],"\uc774\ub7ec\ud55c":[44],"\ubb38\uc81c\ub97c":[45],"\ud574\uacb0\ud558\uae30":[46],"\uc704\ud574":[47],"2\ub2e8\uacc4":[48],"\uc804\ub7b5\uc744":[51],"\uc81c\uc548\ud55c\ub2e4.":[52],"\uc81c\uc548\ud558\ub294":[53],"\uc804\ub7b5\uc740":[54,96],"\uc5f0\uc18d\uc131,":[56],"ROI":[57],"\uc815\ud569\uc131":[58],"\ub4f1":[59],"4\uac00\uc9c0":[60],"\uae30\uc900\uc758":[61],"\uaddc\uce59":[62],"\ud544\ud130\ub9c1\uc73c\ub85c":[64],"\ubb34\uacb0\uc131\uc744":[67],"\ubcf4\uc874\ud558\uace0,":[68],"\uacb0\uacfc":[69],"\ud544\ud130\ub9c1\uc744":[71],"\ud1b5\ud574":[72],"\uadf9\ub300\ud654\ud558\ub294":[75],"\uae30\ubc95\uc744":[77],"\uc120\ubcc4\ud55c\ub2e4.":[78],"\ub610\ud55c":[79],"\ub17c\ubb38\uc5d0\uc11c\ub294":[81],"\uc81c\uc548":[82,95],"\uc804\ub7b5\uc758":[83],"DeepFake":[85],"Detection":[86],"\ub370\uc774\ud130\uc14b\uacfc":[87],"\uc815\ud655\ub3c4,":[88],"\uc815\ubc00\ub3c4,":[89],"\uc7ac\ud604\uc728,":[90],"F1-score":[91],"\uc9c0\ud45c\ub85c":[92],"\ud3c9\uac00\ud558\uc600\ub2e4.":[93],"\uacb0\uacfc\uc801\uc73c\ub85c":[94],"\ubcf5\ud569":[97],"\uc801\uc6a9":[98],"\uc870\uac74\uc5d0\uc11c":[99],"0.7317\uc758":[100],"F1-score\ub97c":[101],"\uae30\ub85d\ud558\uc5ec":[102],"\uae30\ubcf8":[103],"\ubaa8\ub378(0.6551)":[104],"\ub300\ube44":[105],"\ud5a5\uc0c1\uc2dc\ud0a4\uace0,":[107],"\uc815\ubc00\ub3c4\uc640":[108],"\uc7ac\ud604\uc728":[109],"\uac04\uc758":[110],"\uade0\ud615\uc744":[111],"\uac1c\uc120\ud558\uc5ec":[112],"\uc131\ub2a5\uc758":[114],"\uc548\uc815\uc131\uc744":[115],"\ud655\ubcf4\ud558\uc600\ub2e4.":[116]},"counts_by_year":[],"updated_date":"2026-09-21T07:43:02.447757","created_date":"2026-02-11T00:00:00"}