{"id":"https://openalex.org/W2963447079","doi":"https://doi.org/10.1145/3123266.3123411","title":"Deep Matching and Validation Network","display_name":"Deep Matching and Validation Network","publication_year":2017,"publication_date":"2017-10-19","ids":{"openalex":"https://openalex.org/W2963447079","doi":"https://doi.org/10.1145/3123266.3123411","mag":"2963447079"},"language":"en","primary_location":{"id":"doi:10.1145/3123266.3123411","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3123411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM international conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100668826","display_name":"Yue Wu","orcid":"https://orcid.org/0000-0003-0126-3614"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Wu","raw_affiliation_strings":["Information Sciences Institute, Marina Del Rey, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Sciences Institute, Marina Del Rey, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028776484","display_name":"Wael AbdAlmageed","orcid":"https://orcid.org/0000-0002-8320-8530"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wael Abd-Almageed","raw_affiliation_strings":["Information Sciences Institute, Marina Del Rey, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Sciences Institute, Marina Del Rey, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066184920","display_name":"Prem Natarajan","orcid":"https://orcid.org/0000-0002-4386-6651"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prem Natarajan","raw_affiliation_strings":["Information Sciences Institute, Marina Del Rey, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Sciences Institute, Marina Del Rey, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3877,"has_fulltext":false,"cited_by_count":111,"citation_normalized_percentile":{"value":0.94482353,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1480","last_page":"1502"},"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":0.9815000295639038,"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":0.9649999737739563,"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":0.7482637166976929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7359189987182617},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6375695466995239},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6350539922714233},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6043444275856018},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5658458471298218},{"id":"https://openalex.org/keywords/rna-splicing","display_name":"RNA splicing","score":0.5577243566513062},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5198924541473389},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4935516119003296},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4704914093017578},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.46345609426498413},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3751794099807739},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24368885159492493}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7482637166976929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7359189987182617},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6375695466995239},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6350539922714233},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6043444275856018},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5658458471298218},{"id":"https://openalex.org/C54458228","wikidata":"https://www.wikidata.org/wiki/Q237218","display_name":"RNA splicing","level":4,"score":0.5577243566513062},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5198924541473389},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4935516119003296},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4704914093017578},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.46345609426498413},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3751794099807739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24368885159492493},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C67705224","wikidata":"https://www.wikidata.org/wiki/Q11053","display_name":"RNA","level":3,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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":1,"locations":[{"id":"doi:10.1145/3123266.3123411","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3123411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6700000166893005}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1490753124","https://openalex.org/W1570958768","https://openalex.org/W1861492603","https://openalex.org/W1967163043","https://openalex.org/W1982106473","https://openalex.org/W1987786716","https://openalex.org/W1994743750","https://openalex.org/W2000434686","https://openalex.org/W2041205596","https://openalex.org/W2052950171","https://openalex.org/W2088023168","https://openalex.org/W2096754397","https://openalex.org/W2104116677","https://openalex.org/W2142694135","https://openalex.org/W2149073238","https://openalex.org/W2155319953","https://openalex.org/W2162963619","https://openalex.org/W2191783366","https://openalex.org/W2194775991","https://openalex.org/W2345213863","https://openalex.org/W2541922885","https://openalex.org/W2548302937","https://openalex.org/W2548506527","https://openalex.org/W2574852830","https://openalex.org/W2580690807","https://openalex.org/W2603123944","https://openalex.org/W3121767244"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2952760143","https://openalex.org/W2017776670","https://openalex.org/W2347897961","https://openalex.org/W2340870721","https://openalex.org/W2358318464","https://openalex.org/W2979236518","https://openalex.org/W3091955004"],"abstract_inverted_index":{"Image":[0],"splicing":[1,17,53,98,136,211],"is":[2,10,84,116,190],"a":[3,29,42,105,109,147,215],"very":[4],"common":[5],"image":[6,26,36,107,124,166],"manipulation":[7],"technique":[8],"that":[9,45,68,121,206],"sometimes":[11],"used":[12,127],"for":[13,138],"malicious":[14],"purposes.":[15],"A":[16],"detection":[18,54,212],"and":[19,27,40,55,77,108,133,142,157,164,177,198,224],"localization":[20,56],"algorithm":[21],"usually":[22,85],"takes":[23],"an":[24],"input":[25,35,103,180],"produces":[28],"binary":[30],"decision":[31],"indicating":[32],"whether":[33],"the":[34,48,82,93,96,114,119,122,130,135,140,188,195,199],"has":[37,125],"been":[38,126],"manipulated,":[39],"also":[41],"segmentation":[43,200],"mask":[44],"corresponds":[46],"to":[47,100,117,128,182,193],"spliced":[49],"region.":[50],"Most":[51],"existing":[52],"pipelines":[57],"suffer":[58],"from":[59],"two":[60,102],"main":[61],"shortcomings:":[62],"1)":[63],"they":[64],"use":[65],"handcrafted":[66,175],"features":[67,176],"are":[69],"not":[70,172],"robust":[71],"against":[72],"subsequent":[73],"processing":[74],"(e.g.,":[75],"compression),":[76],"2)":[78],"each":[79],"stage":[80],"of":[81,95,220],"pipeline":[83],"optimized":[86,192],"independently.":[87],"In":[88],"this":[89,207],"paper":[90],"we":[91],"extend":[92],"formulation":[94],"underlying":[97],"problem":[99],"consider":[101],"images,":[104],"query":[106,131,141],"potential":[110],"donor":[111,123,143],"image.":[112],"Here":[113],"task":[115],"estimate":[118],"probability":[120,196],"splice":[129],"image,":[132],"obtain":[134],"masks":[137],"both":[139,221],"images.":[144],"We":[145],"introduce":[146],"novel":[148],"deep":[149,184],"convolutional":[150],"neural":[151],"network":[152],"architecture,":[153],"called":[154],"Deep":[155],"Matching":[156],"Validation":[158],"Network":[159],"(DMVN),":[160],"which":[161],"simultaneously":[162],"localizes":[163],"detects":[165],"splicing.":[167],"The":[168],"proposed":[169],"approach":[170,208],"does":[171],"depend":[173],"on":[174],"uses":[178],"raw":[179],"images":[181],"create":[183],"learned":[185],"representations.":[186],"Furthermore,":[187],"DMVN":[189],"end-to-end":[191],"produce":[194],"estimates":[197],"masks.":[201],"Our":[202],"extensive":[203],"experiments":[204],"demonstrate":[205],"outperforms":[209],"state-of-the-art":[210],"methods":[213],"by":[214],"large":[216],"margin":[217],"in":[218],"terms":[219],"AUC":[222],"score":[223],"speed.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":4}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}