{"id":"https://openalex.org/W4387861371","doi":"https://doi.org/10.56155/978-81-955020-2-8-43","title":"Combining Computer Vision Techniques and Intraframe Noise Methods to Detect a Deepfake","display_name":"Combining Computer Vision Techniques and Intraframe Noise Methods to Detect a Deepfake","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387861371","doi":"https://doi.org/10.56155/978-81-955020-2-8-43"},"language":"en","primary_location":{"id":"doi:10.56155/978-81-955020-2-8-43","doi":"https://doi.org/10.56155/978-81-955020-2-8-43","is_oa":true,"landing_page_url":"https://doi.org/10.56155/978-81-955020-2-8-43","pdf_url":"https://www.publications.scrs.in/uploads/final_menuscript/fce55e88cec6220532422858b7ab5dde.pdf","source":{"id":"https://openalex.org/S4306489707","display_name":"Soft Computing Research Society eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Intelligent Computing Techniques","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4291821219","display_name":"Data Science and Intelligent Computing Techniques"},"type":"book-chapter","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.publications.scrs.in/uploads/final_menuscript/fce55e88cec6220532422858b7ab5dde.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079267688","display_name":"Maya Padmakar Shelke","orcid":"https://orcid.org/0000-0001-7171-1545","observed_orcids":["https://orcid.org/0000-0001-7171-1545"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maya P Shelke","raw_affiliation_strings":["Department of Information Technology, JSPM's Rajarshi Shahu College of Engi-neering, Pune, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, JSPM's Rajarshi Shahu College of Engi-neering, Pune, Maharashtra, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028395739","display_name":"Nihar M. Ranjan","orcid":"https://orcid.org/0000-0002-4946-5824","observed_orcids":["https://orcid.org/0000-0002-4946-5824"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nihar Ranjan","raw_affiliation_strings":["Department of Information Technology, JSPM's Rajarshi Shahu College of Engi-neering, Pune, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, JSPM's Rajarshi Shahu College of Engi-neering, Pune, Maharashtra, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093109314","display_name":"Ajinkya Kharade","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ajinkya Kharade","raw_affiliation_strings":["Department of Information Technology, JSPM's Rajarshi Shahu College of Engi-neering, Pune, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, JSPM's Rajarshi Shahu College of Engi-neering, Pune, Maharashtra, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004730727","display_name":"Pranav Gaikwad","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pranav Gaikwad","raw_affiliation_strings":["Department of Information Technology, JSPM's Rajarshi Shahu College of Engi-neering, Pune, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, JSPM's Rajarshi Shahu College of Engi-neering, Pune, Maharashtra, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093109315","display_name":"Shubham Arakh","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shubham Arakh","raw_affiliation_strings":["Department of Information Technology, JSPM's Rajarshi Shahu College of Engi-neering, Pune, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, JSPM's Rajarshi Shahu College of Engi-neering, Pune, Maharashtra, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093109316","display_name":"Analp Kalore","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Analp Kalore","raw_affiliation_strings":["Department of Information Technology, JSPM's Rajarshi Shahu College of Engi-neering, Pune, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, JSPM's Rajarshi Shahu College of Engi-neering, Pune, Maharashtra, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1513,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.87917981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"471","last_page":"480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":1.0,"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":1.0,"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":0.0,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.0,"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/deepfake-detection","display_name":"deepfake detection","score":0.9990000128746033},{"id":"https://openalex.org/keywords/synthetic-video","display_name":"synthetic video","score":0.7070000171661377},{"id":"https://openalex.org/keywords/texture-features","display_name":"texture features","score":0.9259999990463257},{"id":"https://openalex.org/keywords/edge-detection","display_name":"edge detection","score":0.6859999895095825},{"id":"https://openalex.org/keywords/color-features","display_name":"color features","score":0.8989999890327454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.766124963760376},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6913559436798096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6292232275009155},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6223577857017517},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5276704430580139},{"id":"https://openalex.org/C2777363581","wikidata":"https://www.wikidata.org/wiki/Q15098235","display_name":"Harm","level":2,"score":0.5123215913772583},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4822150468826294},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4153828024864197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3522154986858368},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24336013197898865},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07082381844520569},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06889498233795166},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.56155/978-81-955020-2-8-43","doi":"https://doi.org/10.56155/978-81-955020-2-8-43","is_oa":true,"landing_page_url":"https://doi.org/10.56155/978-81-955020-2-8-43","pdf_url":"https://www.publications.scrs.in/uploads/final_menuscript/fce55e88cec6220532422858b7ab5dde.pdf","source":{"id":"https://openalex.org/S4306489707","display_name":"Soft Computing Research Society eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Intelligent Computing Techniques","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.56155/978-81-955020-2-8-43","doi":"https://doi.org/10.56155/978-81-955020-2-8-43","is_oa":true,"landing_page_url":"https://doi.org/10.56155/978-81-955020-2-8-43","pdf_url":"https://www.publications.scrs.in/uploads/final_menuscript/fce55e88cec6220532422858b7ab5dde.pdf","source":{"id":"https://openalex.org/S4306489707","display_name":"Soft Computing Research Society eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Intelligent Computing Techniques","raw_type":"book-chapter"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387861371.pdf","grobid_xml":"https://content.openalex.org/works/W4387861371.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2301937176","https://openalex.org/W2980459401","https://openalex.org/W3012725859","https://openalex.org/W3033415056","https://openalex.org/W3127455518","https://openalex.org/W3163323251","https://openalex.org/W3172046373","https://openalex.org/W3213933678","https://openalex.org/W4213079790","https://openalex.org/W4285084577","https://openalex.org/W4285742256","https://openalex.org/W4285791414","https://openalex.org/W4375955734"],"related_works":["https://openalex.org/W7212127302","https://openalex.org/W3163323251","https://openalex.org/W4327571479","https://openalex.org/W7117970664","https://openalex.org/W3199969591","https://openalex.org/W4409057164","https://openalex.org/W4403266848","https://openalex.org/W7220651364","https://openalex.org/W7162189766","https://openalex.org/W7140141123"],"abstract_inverted_index":{"Deep":[0],"fakes":[1],"are":[2],"synthetic":[3],"videos":[4,27],"created":[5],"by":[6,59],"deep":[7,40],"learning":[8],"algorithms":[9],"that":[10,107],"can":[11],"convincingly":[12],"depict":[13],"individuals":[14],"saying":[15],"or":[16],"doing":[17],"things":[18],"they":[19],"never":[20],"did.":[21],"With":[22],"the":[23,32,74,91,96],"proliferation":[24],"of":[25,87,102],"deepfake":[26,114],"in":[28,112],"social":[29],"media":[30],"and":[31,80,82,105],"potential":[33],"for":[34,56],"them":[35],"to":[36,90],"cause":[37],"significant":[38],"harm,":[39],"fake":[41],"detection":[42],"has":[43],"become":[44],"a":[45,53,85,100],"pressing":[46],"issue.":[47],"In":[48],"this":[49],"study,":[50],"we":[51],"offer":[52],"unique":[54],"method":[55,98],"detecting":[57,113],"deepfakes":[58],"combining":[60],"computer":[61],"vision":[62],"methods":[63],"with":[64],"intraframe":[65,88],"noise.":[66],"The":[67],"proposed":[68,97],"approach":[69],"involves":[70],"extracting":[71],"features":[72],"from":[73],"video":[75,92],"frames,":[76],"including":[77],"texture,":[78],"color,":[79],"edges,":[81],"then":[83],"adding":[84],"layer":[86],"noise":[89],"frames.":[93],"We":[94],"tested":[95],"on":[99],"variety":[101],"benchmark":[103],"datasets":[104],"found":[106],"it":[108],"achieved":[109],"high":[110],"accuracy":[111],"videos.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-10-23T00:00:00"}