{"id":"https://openalex.org/W2889138239","doi":"https://doi.org/10.2352/issn.2470-1173.2017.7.mwsf-329","title":"Image Recapture Detection with Convolutional and Recurrent Neural Networks","display_name":"Image Recapture Detection with Convolutional and Recurrent Neural Networks","publication_year":2017,"publication_date":"2017-01-29","ids":{"openalex":"https://openalex.org/W2889138239","doi":"https://doi.org/10.2352/issn.2470-1173.2017.7.mwsf-329","mag":"2889138239"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2017.7.mwsf-329","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.7.mwsf-329","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5040091210","display_name":"Haoliang Li","orcid":"https://orcid.org/0000-0002-8723-8112"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Haoliang Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385178","display_name":"Shiqi Wang","orcid":"https://orcid.org/0000-0002-3583-959X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shiqi Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5080977911","display_name":"Alex C. Kot","orcid":"https://orcid.org/0000-0001-6262-8125"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alex C. Kot","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040091210"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7484,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.94567884,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"29","issue":"7","first_page":"87","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9926000237464905,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9919000267982483,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8176326155662537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8076343536376953},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.798175573348999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7050057649612427},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6955927014350891},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6439964175224304},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5712913274765015},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5561749935150146},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5465537905693054},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4995536804199219},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4599994122982025},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.44043564796447754},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.42038440704345703},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.28850704431533813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0585559606552124}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8176326155662537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8076343536376953},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.798175573348999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7050057649612427},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6955927014350891},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6439964175224304},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5712913274765015},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5561749935150146},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5465537905693054},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4995536804199219},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4599994122982025},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.44043564796447754},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.42038440704345703},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28850704431533813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0585559606552124},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2017.7.mwsf-329","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.7.mwsf-329","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320320766","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302"},{"id":"https://openalex.org/F4320321940","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08"},{"id":"https://openalex.org/F4320323292","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92"},{"id":"https://openalex.org/F4320324787","display_name":"Peking University","ror":"https://ror.org/02v51f717"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1875845630","https://openalex.org/W1977674021","https://openalex.org/W1998894779","https://openalex.org/W2003092530","https://openalex.org/W2097368385"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W3208297503","https://openalex.org/W3119773509","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353"],"abstract_inverted_index":{"In":[0,60,82],"this":[1,61],"paper,":[2,62],"we":[3,63],"aim":[4],"to":[5,108,120,150,173],"address":[6],"the":[7,13,20,28,54,72,84,91,94,134,141,152],"image":[8,23,46,56,79,85],"recapturing":[9,47,80],"detection":[10,48],"problem":[11],"with":[12,168],"convolutional":[14,95],"and":[15,25,58,75,99,114,123,129,140,176],"recurrent":[16,101],"neural":[17,96,102],"networks.":[18],"With":[19],"advances":[21],"of":[22,32,93],"display":[24],"acquisition":[26],"techniques,":[27],"recaptured":[29,153],"images":[30],"are":[31,87,147],"satisfactory":[33],"quality":[34],"nowadays.":[35],"This":[36],"has":[37],"been":[38],"creating":[39],"an":[40],"ever":[41],"stronger":[42],"demand":[43],"for":[44,78],"sophisticated":[45],"algorithms":[49],"which":[50],"can":[51,165],"efficiently":[52],"prevent":[53],"unauthorized":[55],"distributing":[57],"forging.":[59],"propose":[64],"a":[65],"hierarchical":[66],"feature":[67],"learning":[68,178],"strategy":[69],"by":[70],"leveraging":[71],"intra-block":[73],"information":[74],"inter-block":[76,130],"dependency":[77],"detection.":[81],"particular,":[83],"blocks":[86,139,146],"first":[88],"employed":[89],"as":[90,117],"input":[92],"network":[97,103],"(CNN)":[98],"subsequently":[100],"(RNN)":[104],"is":[105],"further":[106],"adopted":[107],"extract":[109,121],"block":[110],"dependencies.":[111],"The":[112],"CNN":[113],"RNN":[115],"serve":[116],"effective":[118],"tools":[119],"discriminative":[122],"meaningful":[124],"features":[125],"regarding":[126],"both":[127],"intra-":[128],"information.":[131],"As":[132],"such,":[133],"inherent":[135],"properties":[136],"within":[137],"local":[138],"correlations":[142],"between":[143],"non-local":[144],"neighbouring":[145],"all":[148],"exploited":[149],"identify":[151],"images.":[154],"Experimental":[155],"results":[156],"on":[157],"three":[158],"databases":[159],"show":[160],"that":[161],"significantly":[162],"better":[163],"performance":[164],"be":[166],"achieved":[167],"our":[169],"proposed":[170],"framework":[171],"compared":[172],"traditional":[174],"handcrafted":[175],"deep":[177],"based":[179],"approaches.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}
