{"id":"https://openalex.org/W2950452242","doi":"https://doi.org/10.1186/s13640-019-0469-9","title":"Copy-move forgery detection for image forensics using the superpixel segmentation and the Helmert transformation","display_name":"Copy-move forgery detection for image forensics using the superpixel segmentation and the Helmert transformation","publication_year":2019,"publication_date":"2019-06-13","ids":{"openalex":"https://openalex.org/W2950452242","doi":"https://doi.org/10.1186/s13640-019-0469-9","mag":"2950452242"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-019-0469-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0469-9","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0469-9","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0469-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101953889","display_name":"Hui\u2010Yu Huang","orcid":"https://orcid.org/0000-0001-8165-1646"},"institutions":[{"id":"https://openalex.org/I40689657","display_name":"National Formosa University","ror":"https://ror.org/00q523p52","country_code":"TW","type":"education","lineage":["https://openalex.org/I40689657"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hui-Yu Huang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Formosa University, 64, Wun-hua Rd, Huwei, Yunlin 632, Taiwan","Department of Computer Science and Information Engineering, National Formosa University, 64, Wun-hua Rd, Huwei, Yunlin, 632, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Formosa University, 64, Wun-hua Rd, Huwei, Yunlin 632, Taiwan","institution_ids":["https://openalex.org/I40689657"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Formosa University, 64, Wun-hua Rd, Huwei, Yunlin, 632, Taiwan","institution_ids":["https://openalex.org/I40689657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054774737","display_name":"Ai-Jhen Ciou","orcid":null},"institutions":[{"id":"https://openalex.org/I40689657","display_name":"National Formosa University","ror":"https://ror.org/00q523p52","country_code":"TW","type":"education","lineage":["https://openalex.org/I40689657"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ai-Jhen Ciou","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Formosa University, 64, Wun-hua Rd, Huwei, Yunlin 632, Taiwan","Department of Computer Science and Information Engineering, National Formosa University, 64, Wun-hua Rd, Huwei, Yunlin, 632, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Formosa University, 64, Wun-hua Rd, Huwei, Yunlin 632, Taiwan","institution_ids":["https://openalex.org/I40689657"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Formosa University, 64, Wun-hua Rd, Huwei, Yunlin, 632, Taiwan","institution_ids":["https://openalex.org/I40689657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101953889"],"corresponding_institution_ids":["https://openalex.org/I40689657"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":3.5759,"has_fulltext":true,"cited_by_count":63,"citation_normalized_percentile":{"value":0.94434111,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"2019","issue":"1","first_page":null,"last_page":null},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9900000095367432,"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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9872999787330627,"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7496433258056641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7194007635116577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6629765033721924},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5840689539909363},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.545630693435669},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5007188320159912},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4898237884044647},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4577009975910187},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.440823495388031},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3548417091369629},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16797089576721191}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7496433258056641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7194007635116577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6629765033721924},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5840689539909363},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.545630693435669},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5007188320159912},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4898237884044647},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4577009975910187},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.440823495388031},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3548417091369629},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16797089576721191},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13640-019-0469-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0469-9","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0469-9","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e99e0485bad743989142519bbe3d3414","is_oa":true,"landing_page_url":"https://doaj.org/article/e99e0485bad743989142519bbe3d3414","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-16 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13640-019-0469-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0469-9","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0469-9","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2950452242.pdf","grobid_xml":"https://content.openalex.org/works/W2950452242.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1490753124","https://openalex.org/W1570958768","https://openalex.org/W1586681179","https://openalex.org/W1677409904","https://openalex.org/W1969703188","https://openalex.org/W1978093332","https://openalex.org/W1987535593","https://openalex.org/W1995501514","https://openalex.org/W2005047465","https://openalex.org/W2022436565","https://openalex.org/W2039945310","https://openalex.org/W2043843501","https://openalex.org/W2052950171","https://openalex.org/W2073783635","https://openalex.org/W2076724553","https://openalex.org/W2086407934","https://openalex.org/W2087935622","https://openalex.org/W2092669196","https://openalex.org/W2116733004","https://openalex.org/W2118246710","https://openalex.org/W2137405310","https://openalex.org/W2149073238","https://openalex.org/W2151103935","https://openalex.org/W2162963619","https://openalex.org/W2166783360","https://openalex.org/W2177274842","https://openalex.org/W2345141063","https://openalex.org/W2407845667","https://openalex.org/W2462522213","https://openalex.org/W2466034782","https://openalex.org/W2520022511","https://openalex.org/W2738002608","https://openalex.org/W3121767244","https://openalex.org/W6600577311","https://openalex.org/W6818587095"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W1966831329","https://openalex.org/W2020188645","https://openalex.org/W2739923608","https://openalex.org/W2063676365","https://openalex.org/W2617958085"],"abstract_inverted_index":{"The":[0,70,86,188],"increasing":[1],"popularity":[2],"of":[3,35,72,88,93],"the":[4,89,94,100,116,125,148,166,198],"internet":[5],"suggests":[6],"that":[7,22,45,197],"digital":[8],"multimedia":[9,24],"has":[10,25,67],"become":[11,26],"easier":[12],"to":[13,29,76,82,146,209],"transmit":[14],"and":[15,64,81,102,140,159,185],"acquire":[16],"more":[17,27,172,179],"rapidly.":[18],"This":[19],"also":[20],"means":[21],"this":[23,51,73],"susceptible":[28],"tampering":[30],"through":[31],"forgery.":[32],"One":[33],"type":[34,44],"forgery,":[36],"known":[37],"as":[38],"copy-move":[39,78],"duplication,":[40],"is":[41,75,177],"a":[42,53,60,107,178],"specified":[43],"usually":[46],"involves":[47],"image":[48,55],"tampering.":[49],"In":[50],"study,":[52],"keypoint-based":[54],"forensics":[56],"approach":[57,74,91,176],"based":[58,114,136],"on":[59,115,137],"superpixel":[61],"segmentation":[62],"algorithm":[63],"Helmert":[65,144],"transformation":[66,145],"been":[68],"proposed.":[69],"purpose":[71],"detect":[77],"forgery":[79,150,157,167],"images":[80],"obtain":[83,147,202],"forensic":[84],"information.":[85],"procedure":[87],"proposed":[90,175,199],"consists":[92],"following":[95],"phases.":[96],"First,":[97],"we":[98,130,153],"extract":[99],"keypoints":[101],"their":[103],"descriptors":[104],"by":[105,123],"using":[106],"scale-invariant":[108],"feature":[109],"transform":[110],"(SIFT)":[111],"algorithm.":[112],"Then,":[113,152],"descriptor,":[117],"matching":[118,134],"pairs":[119,135],"will":[120,131],"be":[121,170],"obtained":[122,191],"calculating":[124],"similarity":[126],"between":[127],"keypoints.":[128],"Next,":[129],"group":[132],"these":[133,155],"spatial":[138],"distance":[139],"geometric":[141],"constraints":[142],"via":[143],"coarse":[149,156],"regions.":[151],"refine":[154],"regions":[158,168],"remove":[160],"mistakes":[161],"or":[162],"isolated":[163],"areas.":[164],"Finally,":[165],"can":[169,201],"localized":[171],"precisely.":[173],"Our":[174],"robust":[180],"solution":[181],"for":[182],"scaling,":[183],"rotation,":[184],"compression":[186],"forgeries.":[187],"experimental":[189],"results":[190],"from":[192],"testing":[193],"different":[194],"datasets":[195],"demonstrate":[196],"method":[200],"impressive":[203],"precision/":[204],"recall":[205],"rates":[206],"in":[207],"comparison":[208],"state-of-the-art":[210],"methods.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}
