{"id":"https://openalex.org/W2575788517","doi":"https://doi.org/10.1109/apsipa.2016.7820758","title":"Image copy-move forgery detection using hierarchical feature point matching","display_name":"Image copy-move forgery detection using hierarchical feature point matching","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2575788517","doi":"https://doi.org/10.1109/apsipa.2016.7820758","mag":"2575788517"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2016.7820758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2016.7820758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","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/A5016956860","display_name":"Yuanman Li","orcid":"https://orcid.org/0000-0003-4526-3018"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Yuanman Li","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037979193","display_name":"Jiantao Zhou","orcid":"https://orcid.org/0000-0002-6015-2618"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Jiantao Zhou","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016956860"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":0.6758,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.78719897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"4"},"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":0.980400025844574,"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/T13877","display_name":"Law in Society and Culture","score":0.953499972820282,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7421814203262329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7342774868011475},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7063083648681641},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6099718809127808},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5784144401550293},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5373804569244385},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47538578510284424},{"id":"https://openalex.org/keywords/transformation-geometry","display_name":"Transformation geometry","score":0.4637831449508667},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.431867778301239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21862033009529114}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7421814203262329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7342774868011475},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7063083648681641},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6099718809127808},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5784144401550293},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5373804569244385},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47538578510284424},{"id":"https://openalex.org/C32990609","wikidata":"https://www.wikidata.org/wiki/Q306542","display_name":"Transformation geometry","level":2,"score":0.4637831449508667},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.431867778301239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21862033009529114},{"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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/apsipa.2016.7820758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2016.7820758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","raw_type":"proceedings-article"},{"id":"mag:2748627146","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702256082055175","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W120119343","https://openalex.org/W1570958768","https://openalex.org/W1987535593","https://openalex.org/W2052950171","https://openalex.org/W2137405310","https://openalex.org/W2149073238","https://openalex.org/W2151103935","https://openalex.org/W2162963619","https://openalex.org/W2336517228","https://openalex.org/W3121767244","https://openalex.org/W6604906609","https://openalex.org/W6663669045"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W4312219546","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W1589637664","https://openalex.org/W39961996"],"abstract_inverted_index":{"Copy-move":[0],"forgery":[1,45,71],"is":[2,57,107,122],"one":[3],"of":[4,55,90,130,143],"the":[5,41,53,76,81,96,111,126,140,144],"most":[6],"commonly":[7],"used":[8],"manipulations":[9],"for":[10,109],"tempering":[11],"digital":[12],"images.":[13],"Keypoint-based":[14],"detection":[15,72],"methods":[16,37],"have":[17],"been":[18],"reported":[19],"to":[20,29,39,138],"be":[21],"very":[22,58],"effective":[23,69],"in":[24,95],"revealing":[25],"copy-move":[26,44,70],"evidences,":[27],"due":[28],"their":[30],"robustness":[31],"against":[32],"geometric":[33],"transforms.":[34],"However,":[35],"these":[36],"fail":[38],"handle":[40],"cases":[42],"when":[43],"only":[46],"involves":[47],"small":[48,97],"or":[49,98],"smooth":[50,99],"regions,":[51],"where":[52],"number":[54,89],"keypoints":[56,91],"limited.":[59],"To":[60],"tackle":[61],"this":[62],"challenge,":[63],"we":[64,84],"propose":[65],"a":[66,87,102,116],"simple":[67],"yet":[68],"approach.":[73],"By":[74],"lowering":[75],"contrast":[77],"threshold":[78],"and":[79],"rescaling":[80],"input":[82],"image,":[83],"first":[85],"generate":[86],"sufficient":[88],"that":[92],"exist":[93],"even":[94],"regions.":[100],"Then,":[101],"novel":[103,117],"hierarchical":[104],"matching":[105,113],"strategy":[106],"developed":[108],"solving":[110],"keypoint":[112],"problems.":[114],"Finally,":[115],"iterative":[118],"homography":[119],"estimation":[120],"technique":[121],"suggested":[123],"through":[124],"exploiting":[125],"dominant":[127],"orientation":[128],"information":[129],"each":[131],"keypoint.":[132],"Extensive":[133],"experimental":[134],"results":[135],"are":[136],"provided":[137],"demonstrate":[139],"superior":[141],"performance":[142],"proposed":[145],"scheme.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
