{"id":"https://openalex.org/W2963751765","doi":"https://doi.org/10.1145/3301274","title":"Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics","display_name":"Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics","publication_year":2019,"publication_date":"2019-02-15","ids":{"openalex":"https://openalex.org/W2963751765","doi":"https://doi.org/10.1145/3301274","mag":"2963751765"},"language":"en","primary_location":{"id":"doi:10.1145/3301274","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3301274","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-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/A5015874725","display_name":"Cheng Deng","orcid":"https://orcid.org/0000-0003-2620-3247"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Deng","raw_affiliation_strings":["Xidian University, Xi\u2019an, China","Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-2620-3247","affiliations":[{"raw_affiliation_string":"Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101485636","display_name":"Zhao Li","orcid":"https://orcid.org/0000-0003-3996-255X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Li","raw_affiliation_strings":["Xidian University, Xi\u2019an, China","Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0002-7985-0037"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Xidian University, Xi\u2019an, China","Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["University of Sydney, Darlington NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7225-5449","affiliations":[{"raw_affiliation_string":"University of Sydney, Darlington NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3895,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.85224502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10","issue":"2","first_page":"1","last_page":"20"},"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":0.9954000115394592,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9710000157356262,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8892526030540466},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8576136827468872},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.8131966590881348},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.727601945400238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7155076265335083},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5356680154800415},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5173860788345337},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.48431888222694397},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45336252450942993},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4322405457496643},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.42382362484931946},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.412189781665802},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.36977458000183105},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21551692485809326}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8892526030540466},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8576136827468872},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.8131966590881348},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.727601945400238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7155076265335083},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5356680154800415},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5173860788345337},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.48431888222694397},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45336252450942993},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4322405457496643},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.42382362484931946},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.412189781665802},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.36977458000183105},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21551692485809326},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3301274","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3301274","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G744862195","display_name":null,"funder_award_id":"61572388 and 61703327","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W91715781","https://openalex.org/W200526583","https://openalex.org/W1515615411","https://openalex.org/W1523493493","https://openalex.org/W1966999409","https://openalex.org/W1972166096","https://openalex.org/W1982445504","https://openalex.org/W1985729543","https://openalex.org/W1994743750","https://openalex.org/W2004074725","https://openalex.org/W2026394106","https://openalex.org/W2036190666","https://openalex.org/W2049031636","https://openalex.org/W2052312170","https://openalex.org/W2058860584","https://openalex.org/W2070040249","https://openalex.org/W2088023168","https://openalex.org/W2088263286","https://openalex.org/W2096933452","https://openalex.org/W2111280862","https://openalex.org/W2112796928","https://openalex.org/W2148461049","https://openalex.org/W2155319953","https://openalex.org/W2155893237","https://openalex.org/W2164990255","https://openalex.org/W2205696776","https://openalex.org/W2270683370","https://openalex.org/W2292366347","https://openalex.org/W2294215176","https://openalex.org/W2337325616","https://openalex.org/W2406600653","https://openalex.org/W2407561938","https://openalex.org/W2412509443","https://openalex.org/W2487852963","https://openalex.org/W2509784253","https://openalex.org/W2517064760","https://openalex.org/W2531817238","https://openalex.org/W2560026874","https://openalex.org/W2561315210","https://openalex.org/W2596832842","https://openalex.org/W2618530766","https://openalex.org/W2734103229","https://openalex.org/W2740726992","https://openalex.org/W2743750471","https://openalex.org/W2756220878","https://openalex.org/W2962830107","https://openalex.org/W4256347408"],"related_works":["https://openalex.org/W2441603424","https://openalex.org/W1597187555","https://openalex.org/W2614249221","https://openalex.org/W2997133669","https://openalex.org/W2108294500","https://openalex.org/W2158017498","https://openalex.org/W3197792283","https://openalex.org/W1830945637","https://openalex.org/W2542654834","https://openalex.org/W4243959093"],"abstract_inverted_index":{"As":[0],"JPEG":[1,15,31,93],"is":[2,20,53,76,111,134,149,177],"the":[3,9,84,92,99,116,120,127,137,153,173,180,187],"most":[4],"widely":[5],"used":[6],"image":[7,32,62],"format,":[8],"importance":[10],"of":[11,91,119,189],"tampering":[12,63,175],"detection":[13,64,117],"for":[14,33],"images":[16],"in":[17,43,102,122,146,162,193],"blind":[18],"forensics":[19],"self-evident.":[21],"In":[22,55,106],"this":[23,56,147],"area,":[24],"extracting":[25],"effective":[26],"statistical":[27,155],"characteristics":[28],"from":[29,83],"a":[30,36,60,108,166],"classification":[34,182],"remains":[35],"challenge.":[37],"Effective":[38],"features":[39,82],"are":[40],"designed":[41,77,150],"manually":[42],"traditional":[44],"methods,":[45],"suggesting":[46],"that":[47],"extensive":[48],"labor-consuming":[49],"research":[50],"and":[51,159,172,196],"derivation":[52],"required.":[54],"article,":[57],"we":[58],"propose":[59],"novel":[61],"method":[65,192],"based":[66],"on":[67],"deep":[68],"multi-scale":[69,74],"discriminative":[70,109],"networks":[71,121],"(MSD-Nets).":[72],"The":[73],"module":[75,96,110,148],"to":[78,114,151],"automatically":[79],"extract":[80],"multiple":[81],"discrete":[85],"cosine":[86],"transform":[87],"(DCT)":[88],"coefficient":[89],"histograms":[90],"image.":[94],"This":[95],"can":[97,169],"capture":[98],"characteristic":[100],"information":[101],"different":[103],"scale":[104],"spaces.":[105],"addition,":[107],"also":[112],"utilized":[113],"improve":[115],"effect":[118],"those":[123],"difficult":[124],"situations":[125],"when":[126,199],"first":[128],"compression":[129],"quality":[130],"(":[131,140],"QF":[132,141],"1)":[133],"higher":[135],"than":[136],"second":[138],"one":[139],"2).":[142],"A":[143],"special":[144],"network":[145],"distinguish":[152],"small":[154],"difference":[156],"between":[157],"authentic":[158],"tampered":[160],"regions":[161],"these":[163],"cases.":[164],"Finally,":[165],"probability":[167],"map":[168],"be":[170],"obtained":[171],"specific":[174],"area":[176],"located":[178],"using":[179],"last":[181],"results.":[183],"Extensive":[184],"experiments":[185],"demonstrate":[186],"superiority":[188],"our":[190],"proposed":[191],"both":[194],"quantitative":[195],"qualitative":[197],"metrics":[198],"compared":[200],"with":[201],"state-of-the-art":[202],"approaches.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
