{"id":"https://openalex.org/W2619629211","doi":"https://doi.org/10.1145/3078897.3080532","title":"Image Clustering by Source Camera via Sparse Representation","display_name":"Image Clustering by Source Camera via Sparse Representation","publication_year":2017,"publication_date":"2017-05-25","ids":{"openalex":"https://openalex.org/W2619629211","doi":"https://doi.org/10.1145/3078897.3080532","mag":"2619629211"},"language":"en","primary_location":{"id":"doi:10.1145/3078897.3080532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3078897.3080532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Workshop on Multimedia Forensics and Security","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/A5034070433","display_name":"Quoc-Tin Phan","orcid":"https://orcid.org/0000-0002-4403-374X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Quoc-Tin Phan","raw_affiliation_strings":["University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028899632","display_name":"Giulia Boato","orcid":"https://orcid.org/0000-0002-0260-9528"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulia Boato","raw_affiliation_strings":["University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068660181","display_name":"Francesco G. B. De Natale","orcid":"https://orcid.org/0000-0003-2566-6995"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco G.B. De Natale","raw_affiliation_strings":["University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034070433"],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":0.7399,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.80459048,"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":"1","last_page":"5"},"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":0.9954000115394592,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9642999768257141,"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/sparse-approximation","display_name":"Sparse approximation","score":0.7682433128356934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7534062266349792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6868184208869934},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6765457987785339},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5872194766998291},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5503820180892944},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5477466583251953},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.49475187063217163},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49014362692832947},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.42384666204452515},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36597591638565063},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33386027812957764}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7682433128356934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7534062266349792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6868184208869934},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6765457987785339},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5872194766998291},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5503820180892944},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5477466583251953},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.49475187063217163},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49014362692832947},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.42384666204452515},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36597591638565063},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33386027812957764},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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":2,"locations":[{"id":"doi:10.1145/3078897.3080532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3078897.3080532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Workshop on Multimedia Forensics and Security","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unitn.it:11572/199008","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/199008","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1970557073","https://openalex.org/W1989776874","https://openalex.org/W1997599449","https://openalex.org/W2003217181","https://openalex.org/W2030924161","https://openalex.org/W2049771774","https://openalex.org/W2055745001","https://openalex.org/W2096754397","https://openalex.org/W2124695272","https://openalex.org/W2132914434","https://openalex.org/W2135674549","https://openalex.org/W2147973929","https://openalex.org/W2153864803","https://openalex.org/W2164278908","https://openalex.org/W2165874743","https://openalex.org/W2539607883","https://openalex.org/W2542540794","https://openalex.org/W2560266592","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2258058088","https://openalex.org/W1826223126","https://openalex.org/W2091883426","https://openalex.org/W3173235360","https://openalex.org/W2174948646","https://openalex.org/W2024017047","https://openalex.org/W4318256793","https://openalex.org/W2051410394","https://openalex.org/W2594370889","https://openalex.org/W2390720471"],"abstract_inverted_index":{"The":[0],"discovery":[1],"of":[2,4,27,55,63,93],"clusters":[3],"images":[5,40],"sharing":[6],"the":[7,25,42,91],"same":[8,43],"origin":[9,44],"based":[10,45],"on":[11,46],"camera":[12,65],"fingerprints,":[13],"such":[14],"as":[15],"Sensor":[16],"Pattern":[17],"Noise":[18],"(SPN),":[19],"plays":[20],"an":[21],"important":[22],"role":[23],"in":[24,77,96],"realm":[26],"multimedia":[28],"forensics.":[29],"In":[30],"this":[31],"work,":[32],"we":[33,57],"present":[34],"a":[35,78],"new":[36],"approach":[37,95],"for":[38],"grouping":[39],"having":[41],"Sparse":[47],"Subspace":[48],"Clustering":[49],"(SSC).":[50],"Due":[51],"to":[52,59,73],"noisy":[53],"nature":[54],"data,":[56],"propose":[58],"find":[60],"sparse":[61,82],"representation":[62],"each":[64],"fingerprint":[66],"by":[67],"solving":[68],"\u21131-regularized":[69],"least":[70],"squares,":[71],"and":[72],"estimate":[74],"appropriate":[75],"parameter":[76],"data-driven":[79],"fashion.":[80],"These":[81],"representations":[83],"characterize":[84],"underlying":[85],"data":[86],"segmentation.":[87],"Experimental":[88],"results":[89],"confirm":[90],"effectiveness":[92],"our":[94],"comparison":[97],"with":[98],"existing":[99],"works.":[100]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
