{"id":"https://openalex.org/W2295021450","doi":"https://doi.org/10.1109/icmew.2015.7169805","title":"Video forgery detection and localization based on 3D patchmatch","display_name":"Video forgery detection and localization based on 3D patchmatch","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2295021450","doi":"https://doi.org/10.1109/icmew.2015.7169805","mag":"2295021450"},"language":"en","primary_location":{"id":"doi:10.1109/icmew.2015.7169805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2015.7169805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Multimedia &amp; Expo Workshops (ICMEW)","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/A5022112516","display_name":"Luca D'Amiano","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"L. D'Amiano","raw_affiliation_strings":["DIETI, University Federico II of Naples, Italy"],"affiliations":[{"raw_affiliation_string":"DIETI, University Federico II of Naples, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085769320","display_name":"Davide Cozzolino","orcid":"https://orcid.org/0000-0001-6158-7595"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Cozzolino","raw_affiliation_strings":["DIETI, University Federico II of Naples, Italy"],"affiliations":[{"raw_affiliation_string":"DIETI, University Federico II of Naples, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081981044","display_name":"Giovanni Poggi","orcid":"https://orcid.org/0000-0003-1327-4812"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G. Poggi","raw_affiliation_strings":["DIETI, University Federico II of Naples, Italy"],"affiliations":[{"raw_affiliation_string":"DIETI, University Federico II of Naples, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080842029","display_name":"Luisa Verdoliva","orcid":"https://orcid.org/0000-0001-7286-7963"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L. Verdoliva","raw_affiliation_strings":["DIETI, University Federico II of Naples, Italy"],"affiliations":[{"raw_affiliation_string":"DIETI, University Federico II of Naples, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022112516"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.866,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.95789086,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9602000117301941,"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":0.9542999863624573,"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":0.7642152309417725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.678909957408905},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5843547582626343},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5536424517631531},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5214047431945801},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.457871675491333},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4577544927597046},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4151459038257599},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4117884635925293},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1379064917564392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7642152309417725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.678909957408905},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5843547582626343},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5536424517631531},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5214047431945801},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.457871675491333},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4577544927597046},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4151459038257599},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4117884635925293},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1379064917564392},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmew.2015.7169805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2015.7169805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Multimedia &amp; Expo Workshops (ICMEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1570958768","https://openalex.org/W1644552752","https://openalex.org/W1763426478","https://openalex.org/W1963943170","https://openalex.org/W1964057156","https://openalex.org/W1980486363","https://openalex.org/W1987501286","https://openalex.org/W1993120651","https://openalex.org/W1995454616","https://openalex.org/W2006028575","https://openalex.org/W2019936743","https://openalex.org/W2034143235","https://openalex.org/W2050287391","https://openalex.org/W2054754893","https://openalex.org/W2106609510","https://openalex.org/W2137405310","https://openalex.org/W2145940484","https://openalex.org/W2148851338","https://openalex.org/W2149072313","https://openalex.org/W2149073238","https://openalex.org/W2170835289","https://openalex.org/W3121767244","https://openalex.org/W4291114417","https://openalex.org/W6637776403","https://openalex.org/W6651960044","https://openalex.org/W6681738127","https://openalex.org/W6681903879"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W2785302227","https://openalex.org/W4301594054","https://openalex.org/W2794488505","https://openalex.org/W3125889879","https://openalex.org/W3124422538","https://openalex.org/W2295467472","https://openalex.org/W2062957446","https://openalex.org/W2147397890","https://openalex.org/W2166213322"],"abstract_inverted_index":{"A":[0],"new":[1],"algorithm":[2,20,40],"is":[3],"proposed":[4,19],"for":[5,41,51,66,78],"the":[6,18,30],"detection":[7,53],"and":[8,54],"accurate":[9],"localization":[10],"of":[11,17,35,76],"copy-move":[12],"video":[13,32],"forgeries.":[14],"Major":[15],"ingredients":[16],"are":[21],"i)":[22],"noise-resilient":[23],"rotation-invariant":[24],"features,":[25],"ii)":[26],"dense-field":[27],"matching":[28],"over":[29],"whole":[31],"by":[33],"means":[34],"a":[36,62,74],"suitably":[37],"modified":[38],"fast":[39,49],"approximate":[42],"nearest":[43],"neighbor":[44],"search,":[45],"iii)":[46],"ad":[47],"hoc":[48],"post-processing":[50],"forgery":[52],"false":[55],"alarm":[56],"removal.":[57],"Experiments":[58],"carried":[59],"out":[60],"on":[61],"dataset":[63],"publicly":[64],"available":[65],"this":[67],"task":[68],"show":[69],"promising":[70],"results,":[71],"suggesting":[72],"also":[73],"number":[75],"directions":[77],"future":[79],"research.":[80]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
