{"id":"https://openalex.org/W2754158194","doi":"https://doi.org/10.1109/icip.2017.8297051","title":"Fast camera fingerprint matching in very large databases","display_name":"Fast camera fingerprint matching in very large databases","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2754158194","doi":"https://doi.org/10.1109/icip.2017.8297051","mag":"2754158194"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8297051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/A5044468538","display_name":"Samet Taspinar","orcid":"https://orcid.org/0000-0002-4948-3010"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samet Taspinar","raw_affiliation_strings":["Center for Cyber Security, New York University, Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Cyber Security, New York University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086101517","display_name":"H\u00fcsrev Taha Sencar","orcid":"https://orcid.org/0000-0001-6910-6194"},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]},{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["TR","US"],"is_corresponding":false,"raw_author_name":"Husrev T. Sencar","raw_affiliation_strings":["Center for Cyber Security, New York University, Abu Dhabi, UAE","Computer Engineering Department, TOBB University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Cyber Security, New York University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Computer Engineering Department, TOBB University, Ankara, Turkey","institution_ids":["https://openalex.org/I13236232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101942160","display_name":"Sevin\u00e7 Bayram","orcid":"https://orcid.org/0000-0002-5909-7391"},"institutions":[{"id":"https://openalex.org/I4210089357","display_name":"Hitachi (United Kingdom)","ror":"https://ror.org/0097wyf31","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210089357","https://openalex.org/I65143321"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sevinc Bayram","raw_affiliation_strings":["3Hitachi Europe Ltd, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"3Hitachi Europe Ltd, London, UK","institution_ids":["https://openalex.org/I4210089357"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006172625","display_name":"Nasir Memon","orcid":"https://orcid.org/0000-0002-0103-9762"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nasir Memon","raw_affiliation_strings":["Center for Cyber Security, New York University, Abu Dhabi, UAE","Department of CSE, New York University, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Cyber Security, New York University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Department of CSE, New York University, New York, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"7254","issue":null,"first_page":"4088","last_page":"4092"},"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":0.9943000078201294,"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/T10828","display_name":"Biometric Identification and Security","score":0.9710000157356262,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8106107115745544},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7691405415534973},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.7581726312637329},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6473243832588196},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5813678503036499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5478841066360474},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5425773859024048},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5424694418907166},{"id":"https://openalex.org/keywords/fingerprint-verification-competition","display_name":"Fingerprint Verification Competition","score":0.5391744375228882},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.438480406999588},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42080017924308777},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3436608910560608},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10751613974571228}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8106107115745544},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7691405415534973},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.7581726312637329},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6473243832588196},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5813678503036499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5478841066360474},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5425773859024048},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5424694418907166},{"id":"https://openalex.org/C164995936","wikidata":"https://www.wikidata.org/wiki/Q5450283","display_name":"Fingerprint Verification Competition","level":4,"score":0.5391744375228882},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.438480406999588},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42080017924308777},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3436608910560608},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10751613974571228},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8297051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1838866347","https://openalex.org/W2001426616","https://openalex.org/W2006028575","https://openalex.org/W2012302517","https://openalex.org/W2013480973","https://openalex.org/W2038034392","https://openalex.org/W2041721667","https://openalex.org/W2043822147","https://openalex.org/W2044006345","https://openalex.org/W2044305855","https://openalex.org/W2048240304","https://openalex.org/W2079966362","https://openalex.org/W2081891982","https://openalex.org/W2084309543","https://openalex.org/W2085447203","https://openalex.org/W2124695272","https://openalex.org/W2128387082","https://openalex.org/W2141701079","https://openalex.org/W2507559441","https://openalex.org/W2577185574","https://openalex.org/W2578983879","https://openalex.org/W6638812601","https://openalex.org/W6661417563","https://openalex.org/W6671561119","https://openalex.org/W6680944521"],"related_works":["https://openalex.org/W2146126086","https://openalex.org/W2399348932","https://openalex.org/W2051294001","https://openalex.org/W2122988758","https://openalex.org/W2187019478","https://openalex.org/W2588889495","https://openalex.org/W1502375461","https://openalex.org/W2339806289","https://openalex.org/W2136721862","https://openalex.org/W2025488734"],"abstract_inverted_index":{"Given":[0],"a":[1,7,13,23,38,76,108],"query":[2,33],"image":[3],"or":[4,6],"video,":[5],"known":[8],"camera":[9,48],"fingerprint,":[10],"there":[11],"is":[12,103],"lack":[14],"of":[15,20,26,46,69,100,111],"capabilities":[16],"for":[17],"fast":[18],"identification":[19,102],"media,":[21],"from":[22],"large":[24],"repository":[25],"images":[27],"and":[28,51,72,79],"videos,":[29],"that":[30,41,83,92],"match":[31],"the":[32,43,57,66,98,113,122],"fingerprint.":[34],"This":[35],"work":[36],"introduces":[37],"new":[39],"approach":[40],"improves":[42],"computation":[44],"efficiency":[45],"pairwise":[47],"fingerprint":[49,73],"matching":[50],"incorporates":[52],"group":[53],"testing":[54],"to":[55,86,105],"make":[56],"search":[58,115,124],"more":[59],"effective.":[60],"More":[61],"specifically,":[62],"we":[63],"jointly":[64],"leverage":[65],"individual":[67],"strengths":[68],"composite":[70],"fingerprints":[71],"digests":[74],"in":[75],"novel":[77],"manner":[78],"design":[80],"two":[81],"methods":[82,116],"are":[84,117],"superior":[85],"existing":[87],"approaches.":[88],"The":[89],"results":[90],"show":[91],"under":[93],"very":[94],"high-performance":[95],"requirements,":[96],"where":[97],"probability":[99],"correct":[101],"close":[104],"one":[106],"with":[107],"false-positive":[109],"rate":[110],"zero,":[112],"proposed":[114],"2-8":[118],"times":[119],"faster":[120],"than":[121],"state-of-art":[123],"methods.":[125]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}