{"id":"https://openalex.org/W2894598861","doi":"https://doi.org/10.1109/tmm.2018.2872863","title":"Statistical Model-Based Detector via Texture Weight Map: Application in Re-Sampling Authentication","display_name":"Statistical Model-Based Detector via Texture Weight Map: Application in Re-Sampling Authentication","publication_year":2018,"publication_date":"2018-10-04","ids":{"openalex":"https://openalex.org/W2894598861","doi":"https://doi.org/10.1109/tmm.2018.2872863","mag":"2894598861"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2018.2872863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2018.2872863","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","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/A5069460515","display_name":"Tong Qiao","orcid":"https://orcid.org/0000-0003-4912-2132"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tong Qiao","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4912-2132","affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045476577","display_name":"Ran Shi","orcid":"https://orcid.org/0000-0002-9922-3305"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Shi","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9922-3305","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102018721","display_name":"Xiangyang Luo","orcid":"https://orcid.org/0000-0001-6062-2950"},"institutions":[{"id":"https://openalex.org/I4210091712","display_name":"Zhengzhou University of Science and Technology","ror":"https://ror.org/00b3j7936","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Luo","raw_affiliation_strings":["State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou Science and Technology Institute, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6062-2950","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou Science and Technology Institute, Zhengzhou, China","institution_ids":["https://openalex.org/I4210091712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041210918","display_name":"Ming Xu","orcid":"https://orcid.org/0000-0001-9332-5258"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Xu","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047378832","display_name":"Ning Zheng","orcid":"https://orcid.org/0000-0003-3503-8167"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Zheng","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047431460","display_name":"Yiming Wu","orcid":"https://orcid.org/0000-0001-9766-2307"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Wu","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5069460515"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":2.4433,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.92242996,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"21","issue":"5","first_page":"1077","last_page":"1092"},"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":0.9940999746322632,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.7555480599403381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7088298201560974},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.5629903674125671},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.5528327822685242},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5347411036491394},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5308600068092346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5290253162384033},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.5122991800308228},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.49692752957344055},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47627919912338257},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4754328727722168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4566684067249298},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4408488869667053},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3481863737106323},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29135191440582275},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2867542505264282},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2616128921508789},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23893186450004578},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23680618405342102}],"concepts":[{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.7555480599403381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7088298201560974},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.5629903674125671},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.5528327822685242},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5347411036491394},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5308600068092346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5290253162384033},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.5122991800308228},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49692752957344055},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47627919912338257},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4754328727722168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4566684067249298},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4408488869667053},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3481863737106323},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29135191440582275},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2867542505264282},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2616128921508789},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23893186450004578},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23680618405342102},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2018.2872863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2018.2872863","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4641085411","display_name":null,"funder_award_id":"61379151","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G546264426","display_name":null,"funder_award_id":"U1636219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7805760071","display_name":null,"funder_award_id":"61702150","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":36,"referenced_works":["https://openalex.org/W22271197","https://openalex.org/W1514331370","https://openalex.org/W1955437626","https://openalex.org/W1964026338","https://openalex.org/W1975528596","https://openalex.org/W1984330335","https://openalex.org/W1997755125","https://openalex.org/W2018527949","https://openalex.org/W2022503816","https://openalex.org/W2023543621","https://openalex.org/W2033206719","https://openalex.org/W2052950171","https://openalex.org/W2070484489","https://openalex.org/W2092586622","https://openalex.org/W2096891243","https://openalex.org/W2096933452","https://openalex.org/W2098586404","https://openalex.org/W2102416023","https://openalex.org/W2133059825","https://openalex.org/W2155180118","https://openalex.org/W2162156567","https://openalex.org/W2293455492","https://openalex.org/W2335967841","https://openalex.org/W2406600653","https://openalex.org/W2514123796","https://openalex.org/W2531862055","https://openalex.org/W2548506527","https://openalex.org/W2569045678","https://openalex.org/W2569860114","https://openalex.org/W2579440044","https://openalex.org/W2610001287","https://openalex.org/W2735519720","https://openalex.org/W2764018356","https://openalex.org/W3196620053","https://openalex.org/W4255023712","https://openalex.org/W6680096826"],"related_works":["https://openalex.org/W2770726253","https://openalex.org/W2156181680","https://openalex.org/W1840273037","https://openalex.org/W2509146328","https://openalex.org/W3204757516","https://openalex.org/W2508908072","https://openalex.org/W3139807564","https://openalex.org/W2005464656","https://openalex.org/W3092256941","https://openalex.org/W2894598861"],"abstract_inverted_index":{"The":[0],"problem":[1,78],"of":[2,27,49,58,84,101,134,146,169,185],"authenticating":[3],"a":[4,18,42,64,72,95,159],"re-sampled":[5],"image":[6,91],"has":[7],"been":[8],"investigated":[9],"over":[10],"many":[11],"years.":[12],"Currently,":[13],"however,":[14],"little":[15],"research":[16],"proposes":[17],"statistical":[19,25,65,102,144],"model-based":[20],"test,":[21],"resulting":[22],"in":[23,110],"that":[24],"performance":[26,127,145],"the":[28,38,47,56,68,76,82,90,118,135,143,153,183],"resampling":[29,50],"detector":[30],"could":[31],"not":[32,157],"be":[33,139],"completely":[34],"analyzed.":[35],"To":[36],"fill":[37],"gap,":[39],"we":[40,62],"utilize":[41],"parametric":[43],"model":[44,66],"to":[45],"expose":[46],"traces":[48],"forgery,":[51],"which":[52,111],"is":[53,79,123,128,171],"described":[54],"with":[55,93,162],"distribution":[57,113,154],"residual":[59,69],"noise.":[60],"Afterward,":[61],"propose":[63],"describing":[67],"noise":[70],"from":[71,142],"resampled":[73],"image.":[74],"Then,":[75],"detection":[77,136],"cast":[80],"into":[81],"framework":[83],"hypothesis":[85],"testing":[86],"theory.":[87],"By":[88],"considering":[89],"content":[92],"designing":[94],"texture":[96],"weight":[97],"map,":[98],"two":[99],"types":[100],"detectors":[103],"are":[104,115,156],"established.":[105,130,172],"In":[106],"an":[107,147],"ideal":[108],"context":[109],"all":[112],"parameters":[114,155,170],"perfectly":[116],"known,":[117,158],"likelihood":[119],"ratio":[120],"test":[121],"(LRT)":[122],"presented":[124],"and":[125,178],"its":[126],"theoretically":[129],"An":[131],"upper":[132],"bound":[133],"power":[137],"can":[138],"successfully":[140],"obtained":[141],"LRT.":[148],"For":[149],"practical":[150],"use,":[151],"when":[152],"generalized":[160],"LRT":[161],"three":[163],"different":[164],"maps":[165],"based":[166],"on":[167,175],"estimation":[168],"Numerical":[173],"results":[174],"simulated":[176],"data":[177],"real":[179],"natural":[180],"images":[181],"highlight":[182],"relevance":[184],"our":[186],"proposed":[187],"approach.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}