{"id":"https://openalex.org/W2889215874","doi":"https://doi.org/10.2352/issn.2470-1173.2017.7.mwsf-327","title":"A Preliminary Study on Convolutional Neural Networks for Camera Model Identification","display_name":"A Preliminary Study on Convolutional Neural Networks for Camera Model Identification","publication_year":2017,"publication_date":"2017-01-29","ids":{"openalex":"https://openalex.org/W2889215874","doi":"https://doi.org/10.2352/issn.2470-1173.2017.7.mwsf-327","mag":"2889215874"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2017.7.mwsf-327","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.7.mwsf-327","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/A5061125165","display_name":"Luca Bondi","orcid":"https://orcid.org/0000-0003-3974-7542"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luca Bondi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000264420","display_name":"David G\u00fcera","orcid":"https://orcid.org/0000-0002-3317-8628"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David G\u00fcera","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087256372","display_name":"Luca Baroffio","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luca Baroffio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051370303","display_name":"Paolo Bestagini","orcid":"https://orcid.org/0000-0003-0406-0222"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paolo Bestagini","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089688702","display_name":"Edward J. Delp","orcid":"https://orcid.org/0000-0002-2909-7323"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Edward J Delp","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005378965","display_name":"Stefano Tubaro","orcid":"https://orcid.org/0000-0002-1990-9869"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stefano Tubaro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5606,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.9319484,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"29","issue":"7","first_page":"67","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9869999885559082,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9843000173568726,"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":0.8177195191383362},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8108893036842346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7941263914108276},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7269788384437561},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6433454751968384},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6006345152854919},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5560101866722107},{"id":"https://openalex.org/keywords/smart-camera","display_name":"Smart camera","score":0.5398577451705933},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5282061696052551},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47658583521842957},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42822641134262085},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4234761893749237}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8177195191383362},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8108893036842346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7941263914108276},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7269788384437561},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6433454751968384},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6006345152854919},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5560101866722107},{"id":"https://openalex.org/C161334170","wikidata":"https://www.wikidata.org/wiki/Q1428778","display_name":"Smart camera","level":2,"score":0.5398577451705933},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5282061696052551},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47658583521842957},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42822641134262085},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4234761893749237},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2352/issn.2470-1173.2017.7.mwsf-327","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.7.mwsf-327","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"},{"id":"pmh:oai:re.public.polimi.it:11311/1061125","is_oa":false,"landing_page_url":"http://hdl.handle.net/11311/1061125","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6000000238418579}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W3037187668","https://openalex.org/W2316896838","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Camera":[0],"model":[1,86],"identification":[2],"is":[3,182],"paramount":[4],"to":[5,99],"verify":[6],"image":[7,34,145],"origin":[8],"and":[9,117,132],"authenticity":[10],"in":[11,66,71,163],"a":[12,126,148,156,164,176],"blind":[13],"fashion.":[14],"State-of-the-art":[15],"techniques":[16],"leverage":[17],"the":[18,33,48,60,74,93,105,109,112,118,122],"analysis":[19],"of":[20,76,79,95,114,124,167,179],"features":[21,102],"describing":[22],"characteristic":[23],"footprints":[24],"left":[25,40],"on":[26,143],"images":[27,181],"by":[28,41,47,53,59,63],"different":[29,96],"camera":[30,85],"models":[31],"from":[32,104],"acquisition":[35],"pipeline":[36],"(e.":[37],"g.,":[38],"traces":[39],"proprietary":[42],"demosaicing":[43],"strategies,":[44],"etc.).":[45],"Motivated":[46],"very":[49],"accurate":[50],"performance":[51],"achieved":[52,119],"feature-based":[54],"methods,":[55],"as":[56,58],"well":[57],"progress":[61],"brought":[62],"deep":[64],"architectures":[65,98],"machine":[67],"learning,":[68],"we":[69,90],"explore":[70],"this":[72],"paper":[73],"possibility":[75],"taking":[77],"advantage":[78],"convolutional":[80],"neural":[81],"networks":[82],"(CNNs)":[83],"for":[84,129],"identification.":[87],"More":[88],"specifically,":[89],"investigate:":[91],"(i)":[92],"capability":[94],"network":[97],"learn":[100],"discriminant":[101],"directly":[103],"observed":[106],"images;":[107],"(ii)":[108],"dependency":[110],"between":[111],"amount":[113,166,178],"training":[115,147,180],"data":[116],"accuracy;":[120],"(iii)":[121],"importance":[123],"selecting":[125],"correct":[127],"protocol":[128],"training,":[130],"validation":[131],"testing.":[133],"This":[134],"study":[135],"shows":[136],"that":[137,175],"promising":[138],"results":[139],"can":[140],"be":[141],"obtained":[142],"small":[144],"patches":[146],"CNN":[149],"with":[150,159],"an":[151],"affordable":[152],"setup":[153],"(i.":[154,169],"e.,":[155,170],"personal":[157],"computer":[158],"one":[160,172],"dedicated":[161],"GPU)":[162],"reasonable":[165],"time":[168],"approximately":[171],"hour),":[173],"given":[174],"sufficient":[177],"available.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
