{"id":"https://openalex.org/W2790910409","doi":"https://doi.org/10.1109/icip.2017.8297101","title":"Camera model identification with residual neural network","display_name":"Camera model identification with residual neural network","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2790910409","doi":"https://doi.org/10.1109/icip.2017.8297101","mag":"2790910409"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8297101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297101","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":"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/A5090679057","display_name":"Yunshu Chen","orcid":"https://orcid.org/0000-0002-2728-0933"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunshu Chen","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100772804","display_name":"Yue Huang","orcid":"https://orcid.org/0000-0002-3913-9400"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Huang","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052820597","display_name":"Xinghao Ding","orcid":"https://orcid.org/0000-0003-2288-5287"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghao Ding","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090679057"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.9234,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.84643875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4337","last_page":"4341"},"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":0.9882000088691711,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9817000031471252,"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/computer-science","display_name":"Computer science","score":0.7888258695602417},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.697226345539093},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6897019147872925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6755644083023071},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.6605764031410217},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6538932919502258},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6060588359832764},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5994812250137329},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.5110560655593872},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48318877816200256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40993157029151917},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36666327714920044},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07538139820098877}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7888258695602417},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.697226345539093},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6897019147872925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6755644083023071},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.6605764031410217},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6538932919502258},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6060588359832764},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5994812250137329},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.5110560655593872},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48318877816200256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40993157029151917},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36666327714920044},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07538139820098877},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8297101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297101","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1536929369","https://openalex.org/W1568390818","https://openalex.org/W1601667204","https://openalex.org/W1984038043","https://openalex.org/W1988600563","https://openalex.org/W2013576116","https://openalex.org/W2028773284","https://openalex.org/W2041741035","https://openalex.org/W2084252081","https://openalex.org/W2097117768","https://openalex.org/W2118023920","https://openalex.org/W2124695272","https://openalex.org/W2124929806","https://openalex.org/W2141701079","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2292366347","https://openalex.org/W2553152707","https://openalex.org/W2572787276","https://openalex.org/W6634185218","https://openalex.org/W6657301176","https://openalex.org/W6680944521"],"related_works":["https://openalex.org/W3196952692","https://openalex.org/W2984708981","https://openalex.org/W2755231872","https://openalex.org/W4300939921","https://openalex.org/W4383097772","https://openalex.org/W2964350391","https://openalex.org/W2274287116","https://openalex.org/W2897517148","https://openalex.org/W2983358626","https://openalex.org/W2964137095"],"abstract_inverted_index":{"With":[0],"the":[1,33,38,55,62,79,95,99,108,112,116],"development":[2],"of":[3,81,114],"multimedia,":[4],"camera":[5],"model":[6,92],"identification":[7,93,117],"from":[8],"given":[9],"images":[10],"has":[11,21,75,111],"attract":[12],"large":[13],"attentions":[14],"in":[15,94,123],"cyber-forensic":[16],"area":[17],"recently.":[18],"The":[19,102,127],"task":[20,63],"achieved":[22],"a":[23],"great":[24],"improvement":[25],"due":[26],"to":[27,54],"some":[28],"deep":[29,66],"learning":[30,67],"methods,":[31],"where":[32],"features":[34,51],"are":[35],"extracted":[36],"with":[37,64,120],"stacked":[39],"architectures.":[40],"However,":[41],"it":[42],"should":[43],"be":[44,131],"considered":[45,132],"that":[46,107],"both":[47],"low-level":[48],"and":[49,84],"highlevel":[50],"have":[52,105],"contributions":[53],"recognition.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60,87],"investigate":[61],"another":[65],"model,":[68],"residual":[69],"neural":[70],"network":[71],"(ResNet).":[72],"Proposed":[73],"framework":[74],"been":[76],"evaluated":[77],"on":[78,137],"experiments":[80],"brand-attribution,":[82],"model-attribution":[83],"device-attribution.":[85],"Besides,":[86],"also":[88],"include":[89],"cell":[90],"phone":[91],"brand-attribution":[96],"experiment":[97],"for":[98],"first":[100],"time.":[101],"classification":[103],"results":[104],"demonstrated":[106],"proposed":[109,128],"work":[110,129],"ability":[113],"enhancing":[115],"performances":[118],"compared":[119],"existing":[121],"methods":[122],"each":[124],"specific":[125],"task.":[126],"can":[130],"as":[133],"an":[134],"effective":[135],"approach":[136],"image":[138],"forensics.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}