{"id":"https://openalex.org/W4293519295","doi":"https://doi.org/10.1109/icme52920.2022.9859965","title":"Source Camera Identification with Multi-Scale Feature Fusion Network","display_name":"Source Camera Identification with Multi-Scale Feature Fusion Network","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4293519295","doi":"https://doi.org/10.1109/icme52920.2022.9859965"},"language":"en","primary_location":{"id":"doi:10.1109/icme52920.2022.9859965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859965","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","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/A5112682194","display_name":"Hui Chen","orcid":"https://orcid.org/0000-0002-7622-8867"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Hui","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology,Harbin,China,150001"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology,Harbin,China,150001","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605504","display_name":"Feng Jiang","orcid":"https://orcid.org/0000-0003-0558-196X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Jiang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology,Harbin,China,150001"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology,Harbin,China,150001","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445780","display_name":"Shaohui Liu","orcid":"https://orcid.org/0000-0002-1810-5412"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohui Liu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology,Harbin,China,150001"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology,Harbin,China,150001","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100600353","display_name":"Debin Zhao","orcid":"https://orcid.org/0000-0003-3434-9967"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Debin Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology,Harbin,China,150001"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology,Harbin,China,150001","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112682194"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.4198,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.7045487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9901000261306763,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9365000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7373630404472351},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7028239369392395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6765687465667725},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5381165146827698},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5325136780738831},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5312981605529785},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5067117810249329},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49752143025398254},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4427875578403473},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4209422171115875},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.41084030270576477},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.393841415643692}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7373630404472351},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7028239369392395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6765687465667725},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5381165146827698},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5325136780738831},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5312981605529785},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5067117810249329},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49752143025398254},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4427875578403473},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4209422171115875},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.41084030270576477},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.393841415643692},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme52920.2022.9859965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme52920.2022.9859965","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1695275219","display_name":null,"funder_award_id":"62076080","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3843360972","display_name":null,"funder_award_id":"2020YFB1406902,A12003","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1966336925","https://openalex.org/W1997599449","https://openalex.org/W2096754397","https://openalex.org/W2124695272","https://openalex.org/W2141701079","https://openalex.org/W2170343586","https://openalex.org/W2201133991","https://openalex.org/W2565639579","https://openalex.org/W2572787276","https://openalex.org/W2613456556","https://openalex.org/W2753919623","https://openalex.org/W2762911267","https://openalex.org/W2801560392","https://openalex.org/W2888338418","https://openalex.org/W3003424563","https://openalex.org/W3010352349","https://openalex.org/W3011265505","https://openalex.org/W3013626038","https://openalex.org/W3013633552","https://openalex.org/W3092168259","https://openalex.org/W3102373040","https://openalex.org/W3113505176","https://openalex.org/W3134921302","https://openalex.org/W3181595520","https://openalex.org/W3184576797","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6680944521"],"related_works":["https://openalex.org/W4312613727","https://openalex.org/W2419576664","https://openalex.org/W1504288058","https://openalex.org/W2331674254","https://openalex.org/W3007420330","https://openalex.org/W2811390910","https://openalex.org/W2546942002","https://openalex.org/W2382607599","https://openalex.org/W4320802741","https://openalex.org/W4281689716"],"abstract_inverted_index":{"Source":[0],"camera":[1,86],"identification":[2,72,87],"(SCI)":[3],"technology":[4],"has":[5],"attracted":[6],"increasing":[7],"attentions":[8],"over":[9],"the":[10,15,29,43,67,83,101,105,126,137,150,154,162],"past":[11],"few":[12],"years.":[13],"However,":[14],"existing":[16],"methods":[17],"suppress":[18,118],"image":[19,91,119,143,167],"content":[20,120],"with":[21,149],"denoising":[22],"filters":[23],"that":[24,153],"are":[25,56,96,133,140],"largely":[26],"agnostic":[27],"to":[28,49,81,103,117],"specific":[30],"sensor":[31],"pattern":[32],"noise":[33],"(SPN)":[34],"signal":[35],"of":[36,45,69,93,130,164],"interest.":[37],"Such":[38],"practices":[39],"may":[40],"potentially":[41],"degrade":[42],"performance":[44],"SPN-based":[46,70],"SCI":[47],"due":[48],"un-reliable":[50],"SPNs,":[51],"especially":[52,160],"when":[53],"forensic":[54],"images":[55],"transmitted":[57],"through":[58],"social":[59,165],"networking":[60,166],"platforms.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65],"address":[66],"problem":[68],"device":[71],"and":[73,98,121],"propose":[74],"a":[75,110],"multi-scale":[76,111],"feature":[77],"fusion":[78],"network":[79],"(MSFFN)":[80],"boost":[82],"sensor-based":[84],"source":[85,123,144,168],"attribution.":[88,124],"Specifically,":[89],"several":[90],"patches":[92],"different":[94,131],"scales":[95,132],"selected":[97],"input":[99],"into":[100],"MSFFN":[102,108],"extract":[104],"SPN.":[106],"The":[107],"is":[109,115],"encoder-decoder":[112],"structure,":[113],"which":[114],"used":[116,141],"improve":[122],"Subsequently,":[125],"content-independent":[127],"SPN":[128],"features":[129,139],"fused.":[134],"At":[135],"last,":[136],"fused":[138],"for":[142],"identification.":[145,169],"Experimental":[146],"results":[147],"compared":[148],"state-of-the-art":[151],"demonstrate":[152],"proposed":[155],"scheme":[156],"achieves":[157],"significant":[158],"improvements,":[159],"in":[161],"accuracy":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}