{"id":"https://openalex.org/W2086917597","doi":"https://doi.org/10.1109/globalsip.2014.7032275","title":"Blind inpainting forgery detection","display_name":"Blind inpainting forgery detection","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2086917597","doi":"https://doi.org/10.1109/globalsip.2014.7032275","mag":"2086917597"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2014.7032275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"},"type":"preprint","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/A5005103916","display_name":"\u0110\u1eb7ng Th\u00e0nh Trung","orcid":null},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Dang Thanh Trung","raw_affiliation_strings":["L2TI, Universit\u00e9 Paris13, Villtaneuse, France","L2TI, Institut Galil\u00e9e, Universit\u00e9 Paris 13 Villtaneuse, France"],"affiliations":[{"raw_affiliation_string":"L2TI, Universit\u00e9 Paris13, Villtaneuse, France","institution_ids":["https://openalex.org/I4210091279"]},{"raw_affiliation_string":"L2TI, Institut Galil\u00e9e, Universit\u00e9 Paris 13 Villtaneuse, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210091279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010658612","display_name":"Azeddine Beghdadi","orcid":"https://orcid.org/0000-0002-5595-0615"},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Azeddine Beghdadi","raw_affiliation_strings":["XLIM, Universit\u00e9 de Poitiers, Poitiers, France","L2TI, Institut Galil\u00e9e, Universit\u00e9 Paris 13 Villtaneuse, France"],"affiliations":[{"raw_affiliation_string":"XLIM, Universit\u00e9 de Poitiers, Poitiers, France","institution_ids":["https://openalex.org/I32881790"]},{"raw_affiliation_string":"L2TI, Institut Galil\u00e9e, Universit\u00e9 Paris 13 Villtaneuse, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210091279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024090300","display_name":"Mohamed\u2013Chaker Larabi","orcid":"https://orcid.org/0000-0003-4511-5381"},"institutions":[{"id":"https://openalex.org/I32881790","display_name":"Universit\u00e9 de Poitiers","ror":"https://ror.org/04xhy8q59","country_code":"FR","type":"education","lineage":["https://openalex.org/I32881790"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohamed-Chaker Larabi","raw_affiliation_strings":["XLIM, Universit\u00e9 de Poitiers, Poitiers, France","XLIM, D\u00e9partment SIC, Universit\u00e9 de Poitiers Poitiers, France"],"affiliations":[{"raw_affiliation_string":"XLIM, Universit\u00e9 de Poitiers, Poitiers, France","institution_ids":["https://openalex.org/I32881790"]},{"raw_affiliation_string":"XLIM, D\u00e9partment SIC, Universit\u00e9 de Poitiers Poitiers, France","institution_ids":["https://openalex.org/I32881790"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005103916"],"corresponding_institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210091279"],"apc_list":null,"apc_paid":null,"fwci":1.2357,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.83978109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1019","last_page":"1023"},"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9900000095367432,"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/T13877","display_name":"Law in Society and Culture","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"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/inpainting","display_name":"Inpainting","score":0.9751590490341187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7855350375175476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.752960205078125},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7296456694602966},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6848999261856079},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6602136492729187},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.6117088794708252},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5146649479866028},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.510957658290863},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.5086763501167297},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4834935963153839},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.452282190322876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34813204407691956},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33672478795051575}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9751590490341187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7855350375175476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.752960205078125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7296456694602966},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6848999261856079},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6602136492729187},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.6117088794708252},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5146649479866028},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.510957658290863},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.5086763501167297},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4834935963153839},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.452282190322876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34813204407691956},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33672478795051575},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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:10.1109/globalsip.2014.7032275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.700.3250","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.700.3250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-l2ti.univ-paris13.fr/%7Ebeghdadi/wp-content/uploads/2012/09/glob14-Trung-AB-MCL.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01159130v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01159130","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Global Conference on Signal and Information Processing (GlobalSIP), Dec 2014, Atlanta, United States. &#x27E8;10.1109/GlobalSIP.2014.7032275&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7799999713897705,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W62577241","https://openalex.org/W120119343","https://openalex.org/W1532325895","https://openalex.org/W1993120651","https://openalex.org/W2001788007","https://openalex.org/W2014400824","https://openalex.org/W2031784830","https://openalex.org/W2031832209","https://openalex.org/W2096077837","https://openalex.org/W2105038642","https://openalex.org/W2137405310","https://openalex.org/W2149073238","https://openalex.org/W2153237085","https://openalex.org/W2154651279","https://openalex.org/W2155319953","https://openalex.org/W2162963619","https://openalex.org/W2167994192","https://openalex.org/W2171086515","https://openalex.org/W2295936755","https://openalex.org/W2404812048","https://openalex.org/W2741559126","https://openalex.org/W3121767244","https://openalex.org/W3158874234","https://openalex.org/W4213009331","https://openalex.org/W6602575513","https://openalex.org/W6604906609","https://openalex.org/W6713258033","https://openalex.org/W6794803706"],"related_works":["https://openalex.org/W2386128810","https://openalex.org/W2387316461","https://openalex.org/W2342365531","https://openalex.org/W2277143524","https://openalex.org/W2086917597","https://openalex.org/W2621153692","https://openalex.org/W3036827782","https://openalex.org/W1504972346","https://openalex.org/W2951194758","https://openalex.org/W2356087891"],"abstract_inverted_index":{"The":[0,72,88],"increasingly":[1],"use":[2],"of":[3,13,52,56,74,90],"digital":[4,36,57],"images":[5,99],"in":[6],"our":[7],"daily":[8],"life":[9],"and":[10,18,41,79,82],"the":[11,69,91],"availability":[12],"powerful":[14],"software":[15],"for":[16],"processing":[17],"editing":[19],"images,":[20],"open":[21],"new":[22],"challenges":[23],"regarding":[24],"illegal":[25],"or":[26],"unauthorized":[27],"image":[28],"manipulation.":[29],"Thus,":[30],"it":[31],"becomes":[32],"essential":[33],"to":[34],"authenticate":[35],"copies,":[37],"validate":[38],"their":[39],"content,":[40],"detect":[42],"possible":[43],"forgeries.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"focus":[49],"on":[50,96],"detection":[51,76,84],"a":[53],"specific":[54],"type":[55],"forgery,":[58],"inpainting,":[59],"where":[60],"an":[61,80],"object":[62],"is":[63,77,86,94],"removed":[64],"using":[65,100],"pixels":[66],"coming":[67],"from":[68],"same":[70],"image.":[71],"problem":[73],"inpainting":[75,102],"investigated":[78],"efficient":[81],"reliable":[83],"method":[85,93],"proposed.":[87],"performance":[89],"proposed":[92],"demonstrated":[95],"several":[97],"inpainted":[98],"different":[101],"techniques.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
