{"id":"https://openalex.org/W2087936216","doi":"https://doi.org/10.1109/icip.2009.5413414","title":"A hybrid model for digital camera source identification","display_name":"A hybrid model for digital camera source identification","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2087936216","doi":"https://doi.org/10.1109/icip.2009.5413414","mag":"2087936216"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th 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/A5074902886","display_name":"Min-Jen Tsai","orcid":"https://orcid.org/0000-0002-3142-9921"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min-Jen Tsai","raw_affiliation_strings":["Institute of Information Management, National Chiao Tung University, Taiwan","Institute of Information Management, National Chiao Tung University, R. O. C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Management, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Institute of Information Management, National Chiao Tung University, R. O. C","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069510602","display_name":"Chengsheng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Sheng Wang","raw_affiliation_strings":["Institute of Information Management, National Chiao Tung University, Taiwan","Institute of Information Management, National Chiao Tung University, R. O. C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Management, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Institute of Information Management, National Chiao Tung University, R. O. C","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022564787","display_name":"Jung Liu","orcid":"https://orcid.org/0009-0009-7109-823X"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jung Liu","raw_affiliation_strings":["Institute of Information Management, National Chiao Tung University, Taiwan","Institute of Information Management, National Chiao Tung University, R. O. C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Management, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Institute of Information Management, National Chiao Tung University, R. O. C","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.8045,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.70102433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2901","last_page":"2904"},"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":0.9987000226974487,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.803432822227478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7925451993942261},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7564635276794434},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6626254916191101},{"id":"https://openalex.org/keywords/digital-forensics","display_name":"Digital forensics","score":0.6480692625045776},{"id":"https://openalex.org/keywords/digital-camera","display_name":"Digital camera","score":0.6415697336196899},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.5876128673553467},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4320266544818878},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4202784299850464},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3207475543022156},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3133682608604431}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.803432822227478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7925451993942261},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7564635276794434},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6626254916191101},{"id":"https://openalex.org/C84418412","wikidata":"https://www.wikidata.org/wiki/Q3246940","display_name":"Digital forensics","level":2,"score":0.6480692625045776},{"id":"https://openalex.org/C2779705975","wikidata":"https://www.wikidata.org/wiki/Q62927","display_name":"Digital camera","level":2,"score":0.6415697336196899},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.5876128673553467},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4320266544818878},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4202784299850464},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3207475543022156},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3133682608604431},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5413414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1506864492","https://openalex.org/W1524144700","https://openalex.org/W1984038043","https://openalex.org/W2057303018","https://openalex.org/W2096754397","https://openalex.org/W2109327305","https://openalex.org/W2119199090","https://openalex.org/W2124695272","https://openalex.org/W2129320899","https://openalex.org/W2132961863","https://openalex.org/W2145080442","https://openalex.org/W2151939419","https://openalex.org/W2153635508","https://openalex.org/W2156238933","https://openalex.org/W2163446914","https://openalex.org/W2171152518","https://openalex.org/W3120421331","https://openalex.org/W6679805165"],"related_works":["https://openalex.org/W4205142576","https://openalex.org/W2593357727","https://openalex.org/W3036827782","https://openalex.org/W1504972346","https://openalex.org/W2951194758","https://openalex.org/W2356087891","https://openalex.org/W2553152692","https://openalex.org/W3047317905","https://openalex.org/W1997609524","https://openalex.org/W2183514925"],"abstract_inverted_index":{"Digital":[0],"forensics":[1],"has":[2,24],"lately":[3],"become":[4],"one":[5,91],"of":[6,18,51,73,85,101,106],"the":[7,13,16,19,28,34,48,52,64,70,74,78,81,98,102,109],"very":[8],"important":[9],"applications":[10],"to":[11,93],"identify":[12],"characteristics":[14,100],"and":[15,33,42,59],"originality":[17],"digital":[20,31],"devices.":[21],"This":[22],"study":[23],"focused":[25],"on":[26,77],"analyzing":[27],"relationship":[29],"between":[30],"cameras":[32],"images.":[35,75,103],"In":[36],"conjunction":[37],"with":[38],"image":[39],"processing":[40],"techniques":[41],"data":[43],"exploration":[44],"methods,":[45],"it":[46],"calculates":[47],"characteristic":[49],"values":[50],"images":[53,118],"taken":[54,120],"by":[55],"different":[56,89,123],"cameras.":[57,124],"Training":[58],"categorization":[60],"are":[61,88,119],"conducted":[62],"through":[63],"support":[65],"vector":[66],"machines":[67],"for":[68],"identifying":[69],"camera":[71,87],"source":[72],"Based":[76],"fact":[79],"that":[80],"internal":[82],"imaging":[83],"algorithms":[84],"a":[86],"from":[90,121],"manufacturer":[92],"another,":[94],"this":[95],"method":[96],"computes":[97],"hidden":[99],"The":[104],"result":[105],"experiments":[107],"shows":[108],"proposed":[110],"approach":[111],"can":[112],"obtains":[113],"94.95%":[114],"identification":[115],"rate":[116],"when":[117],"20":[122]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}