{"id":"https://openalex.org/W1987369224","doi":"https://doi.org/10.1109/icip.2014.7026076","title":"Robust image recapture detection using a K-SVD learning approach to train dictionaries of edge profiles","display_name":"Robust image recapture detection using a K-SVD learning approach to train dictionaries of edge profiles","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1987369224","doi":"https://doi.org/10.1109/icip.2014.7026076","mag":"1987369224"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7026076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5025855903","display_name":"Thirapiroon Thongkamwitoon","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Thirapiroon Thongkamwitoon","raw_affiliation_strings":["Electrical and Electronic Engineering Department, Imperial College London, United Kingdom","Electrical and Electronic Engineering Department, Imperial College, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronic Engineering Department, Imperial College London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Electrical and Electronic Engineering Department, Imperial College, London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081444333","display_name":"Hani Muammar","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hani Muammar","raw_affiliation_strings":["Electrical and Electronic Engineering Department, Imperial College London, United Kingdom","Electrical and Electronic Engineering Department, Imperial College, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronic Engineering Department, Imperial College London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Electrical and Electronic Engineering Department, Imperial College, London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053203917","display_name":"Pier Luigi Dragotti","orcid":"https://orcid.org/0000-0002-6073-2807"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pier Luigi Dragotti","raw_affiliation_strings":["Electrical and Electronic Engineering Department, Imperial College London, United Kingdom","Electrical and Electronic Engineering Department, Imperial College, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronic Engineering Department, Imperial College London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Electrical and Electronic Engineering Department, Imperial College, London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025855903"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":2.746,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.9078359,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5317","last_page":"5321"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9968000054359436,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.996399998664856,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9962000250816345,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7140658497810364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6726514101028442},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6320652961730957},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.598473310470581},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5702410936355591},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5574352741241455},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4588376581668854},{"id":"https://openalex.org/keywords/mark-and-recapture","display_name":"Mark and recapture","score":0.4483434855937958},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44395917654037476},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33619290590286255}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7140658497810364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6726514101028442},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6320652961730957},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.598473310470581},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5702410936355591},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5574352741241455},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4588376581668854},{"id":"https://openalex.org/C36528806","wikidata":"https://www.wikidata.org/wiki/Q796147","display_name":"Mark and recapture","level":3,"score":0.4483434855937958},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44395917654037476},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33619290590286255},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2014.7026076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.712.9232","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.712.9232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.commsp.ee.ic.ac.uk/%7Epld/publications/ThirapiroonICIP14.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.800000011920929,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1482176641","https://openalex.org/W1483708033","https://openalex.org/W1988593788","https://openalex.org/W1998894779","https://openalex.org/W2002433241","https://openalex.org/W2022598110","https://openalex.org/W2052827785","https://openalex.org/W2065653694","https://openalex.org/W2073455291","https://openalex.org/W2081083689","https://openalex.org/W2096062748","https://openalex.org/W2108364340","https://openalex.org/W2117472271","https://openalex.org/W2128659236","https://openalex.org/W2131264290","https://openalex.org/W2134963900","https://openalex.org/W2138088051","https://openalex.org/W2145023731","https://openalex.org/W2160547390","https://openalex.org/W2166472141","https://openalex.org/W6629034109","https://openalex.org/W6668943067","https://openalex.org/W6679216883","https://openalex.org/W6684881401"],"related_works":["https://openalex.org/W2028037572","https://openalex.org/W2315652488","https://openalex.org/W2039365229","https://openalex.org/W2101902114","https://openalex.org/W2145843506","https://openalex.org/W2379089757","https://openalex.org/W4249592067","https://openalex.org/W2056407677","https://openalex.org/W2128085731","https://openalex.org/W4293054829"],"abstract_inverted_index":{"A":[0],"professionally":[1],"recaptured":[2,31,56,88,141],"image":[3,32,101],"from":[4,15,33],"an":[5],"LCD":[6],"monitor":[7],"can":[8,96],"be,":[9],"visually,":[10],"very":[11],"difficult":[12],"to":[13,28,75],"distinguish":[14],"its":[16],"original":[17],"counterpart.":[18],"In":[19],"this":[20,107],"paper":[21],"we":[22,62,95],"show":[23,132],"that":[24,49,114,133],"it":[25],"is":[26,73,137],"possible":[27],"detect":[29],"a":[30,77,85,99,120,144,153],"the":[34,38,43,47,50,68,110,116,124,127,134],"unique":[35],"nature":[36],"of":[37,53,80,112,123,126,139,147,156],"edge":[39,51],"profiles":[40,52],"present":[41],"in":[42,119],"image.":[44,129],"We":[45,105],"leverage":[46],"fact":[48],"single":[54,81],"and":[55,61,84,149],"images":[57,142],"are":[58],"markedly":[59],"different":[60],"train":[63],"two":[64,92],"alternative":[65],"dictionaries":[66],"using":[67],"K-SVD":[69],"approach.":[70],"One":[71],"dictionary":[72,113],"trained":[74],"provide":[76],"sparse":[78,121],"representation":[79,122],"captured":[82],"edges":[83,125],"second":[86],"for":[87],"edges.":[89],"Using":[90],"these":[91],"learned":[93],"dictionaries,":[94],"determine":[97],"whether":[98],"query":[100,128],"has":[102],"been":[103],"recaptured.":[104],"achieve":[106],"by":[108],"observing":[109],"type":[111],"gives":[115],"smallest":[117],"error":[118],"Experiments":[130],"conducted":[131],"proposed":[135],"algorithm":[136],"capable":[138],"detecting":[140],"with":[143,152],"high":[145],"level":[146],"accuracy":[148],"copes":[150],"well":[151],"wide":[154],"range":[155],"natural":[157],"images.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
