{"id":"https://openalex.org/W4253146851","doi":"https://doi.org/10.1109/dasc-picom-cbdcom-cyberscitech52372.2021.00089","title":"Copy Move Forgery Detection Based on Dense-field and Sparse-field Method","display_name":"Copy Move Forgery Detection Based on Dense-field and Sparse-field Method","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W4253146851","doi":"https://doi.org/10.1109/dasc-picom-cbdcom-cyberscitech52372.2021.00089"},"language":"en","primary_location":{"id":"doi:10.1109/dasc-picom-cbdcom-cyberscitech52372.2021.00089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dasc-picom-cbdcom-cyberscitech52372.2021.00089","pdf_url":null,"source":{"id":"https://openalex.org/S4363605881","display_name":"2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","raw_type":"proceedings-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/A5003289067","display_name":"Weiwei Zhang","orcid":"https://orcid.org/0000-0001-7799-833X"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiwei Zhang","raw_affiliation_strings":["School of Science, Shandong Jianzhu University,Jinan,P. R. China","School of Science, Shandong Jianzhu University, Jinan, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Science, Shandong Jianzhu University,Jinan,P. R. China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"School of Science, Shandong Jianzhu University, Jinan, P. R. China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076657169","display_name":"Xinhua Tang","orcid":"https://orcid.org/0000-0002-6966-4062"},"institutions":[{"id":"https://openalex.org/I4210102264","display_name":"Shandong University of Political Science and Law","ror":"https://ror.org/01b2j5886","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210102264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhua Tang","raw_affiliation_strings":["School of Cyberspace Security, Shandong University of Political Science and Law,Jinan,P. R. China","School of Cyberspace Security, Shandong University of Political Science and Law, Jinan, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace Security, Shandong University of Political Science and Law,Jinan,P. R. China","institution_ids":["https://openalex.org/I4210102264"]},{"raw_affiliation_string":"School of Cyberspace Security, Shandong University of Political Science and Law, Jinan, P. R. China","institution_ids":["https://openalex.org/I4210102264"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003289067"],"corresponding_institution_ids":["https://openalex.org/I44445938"],"apc_list":null,"apc_paid":null,"fwci":0.0653,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4249712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"500","last_page":"506"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9900000095367432,"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"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9750999808311462,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7696075439453125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.738665759563446},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.6539440155029297},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6191014051437378},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6080623269081116},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5811644792556763},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5660438537597656},{"id":"https://openalex.org/keywords/zernike-polynomials","display_name":"Zernike polynomials","score":0.5046068429946899},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4846370816230774}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7696075439453125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.738665759563446},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.6539440155029297},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6191014051437378},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6080623269081116},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5811644792556763},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5660438537597656},{"id":"https://openalex.org/C92423082","wikidata":"https://www.wikidata.org/wiki/Q132146","display_name":"Zernike polynomials","level":3,"score":0.5046068429946899},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4846370816230774},{"id":"https://openalex.org/C165699331","wikidata":"https://www.wikidata.org/wiki/Q461533","display_name":"Wavefront","level":2,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dasc-picom-cbdcom-cyberscitech52372.2021.00089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dasc-picom-cbdcom-cyberscitech52372.2021.00089","pdf_url":null,"source":{"id":"https://openalex.org/S4363605881","display_name":"2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1570958768","https://openalex.org/W1963943170","https://openalex.org/W2022436565","https://openalex.org/W2086407934","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2141584146","https://openalex.org/W2151103935","https://openalex.org/W2155319953","https://openalex.org/W2565770002","https://openalex.org/W2570989757","https://openalex.org/W2594352707","https://openalex.org/W2766647772","https://openalex.org/W2789856658","https://openalex.org/W2915743755","https://openalex.org/W2944571735","https://openalex.org/W2972751055","https://openalex.org/W2991178537","https://openalex.org/W3008450544","https://openalex.org/W3008551695","https://openalex.org/W3010081751","https://openalex.org/W3022522270","https://openalex.org/W3128667667","https://openalex.org/W3133044949","https://openalex.org/W3147342839"],"related_works":["https://openalex.org/W1997638723","https://openalex.org/W2547138831","https://openalex.org/W2061580049","https://openalex.org/W2067788074","https://openalex.org/W2183108721","https://openalex.org/W3160617640","https://openalex.org/W2073465494","https://openalex.org/W2049930962","https://openalex.org/W1989910702","https://openalex.org/W1996690921"],"abstract_inverted_index":{"Copy":[0],"move":[1,46],"is":[2,122,134,154,169,191,201],"a":[3,110],"common":[4],"means":[5],"of":[6,21,29,44,49,80,165,213],"digital":[7],"image":[8,14,24,94,133],"forgery.":[9],"Some":[10],"regions":[11,20,73],"in":[12,41,71],"an":[13],"copied":[15],"and":[16,58,74,98,116,140,159,187],"pasted":[17],"to":[18,25,85,95],"other":[19],"the":[22,27,42,87,92,105,129,132,149,162,166,172,180,194,198,210,214],"same":[23],"achieve":[26],"purpose":[28],"increasing":[30],"or":[31],"eliminating":[32],"some":[33],"targets.":[34],"SIFT":[35,62,152],"algorithm":[36,63,121,153],"has":[37],"been":[38],"widely":[39],"used":[40,155,170],"field":[43],"copy":[45],"forensics":[47],"because":[48],"its":[50],"robustness,":[51],"such":[52],"as":[53,171],"rotation,":[54],"scaling,":[55],"brightness":[56],"change":[57],"so":[59],"on.":[60],"However,":[61],"cannot":[64,76],"extract":[65],"enough":[66],"keypoints":[67,168],"for":[68,156,193],"tamper":[69,81,199],"detection":[70],"smooth":[72],"usually":[75],"give":[77],"accurate":[78],"location":[79,174],"regions.":[82],"In":[83,128,148,179],"order":[84],"overcome":[86],"first":[88,130],"problem,":[89,107],"we":[90,108],"transform":[91],"color":[93,137],"gray,":[96],"HSV":[97],"Lab":[99],"space":[100,138],"before":[101,175],"feature":[102,177,185,189],"extraction.":[103,178],"For":[104],"second":[106,150],"propose":[109],"fusion":[111],"strategy":[112],"combining":[113],"sparse-field":[114],"method":[115],"dense-field":[117],"method.":[118],"The":[119],"proposed":[120,215],"mainly":[123],"divided":[124],"into":[125],"three":[126],"stages.":[127],"stage,":[131,151,182],"preprocessed":[135],"by":[136,204],"transformation":[139],"adaptive":[141],"Simple":[142],"Linear":[143],"Iterative":[144],"Clustering":[145],"(SLIC)":[146],"segmentation.":[147],"keypoint":[157],"extraction":[158,186],"matching.":[160],"Then,":[161],"SLIC":[163],"superpixel":[164],"matching":[167,190],"rough":[173],"block":[176],"third":[181],"Zernike":[183],"moments":[184],"PatchMatch":[188],"performed":[192],"above":[195],"region.":[196],"Finally,":[197],"region":[200],"accurately":[202],"located":[203],"morphological":[205],"post-processing.":[206],"Extensive":[207],"experiments":[208],"demonstrate":[209],"superior":[211],"performance":[212],"scheme.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}