{"id":"https://openalex.org/W2003713735","doi":"https://doi.org/10.1109/mmsp.2013.6659281","title":"Taking advantage of source correlation in forensic analysis","display_name":"Taking advantage of source correlation in forensic analysis","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2003713735","doi":"https://doi.org/10.1109/mmsp.2013.6659281","mag":"2003713735"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2013.6659281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2013.6659281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP)","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/A5038872849","display_name":"Pedro Comesa\u00f1a","orcid":"https://orcid.org/0000-0001-5406-0066"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pedro Comesana","raw_affiliation_strings":["Signal Theory and Communications Department, University of Vigo, Vigo, SPAIN","Signal Theor. & Commun. Dept., Univ. of Vigo, Vigo, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Theory and Communications Department, University of Vigo, Vigo, SPAIN","institution_ids":["https://openalex.org/I6289922"]},{"raw_affiliation_string":"Signal Theor. & Commun. Dept., Univ. of Vigo, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076826398","display_name":"Fernando P\u00e9rez\u2010Gonz\u00e1lez","orcid":"https://orcid.org/0000-0002-0568-1373"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Fernando Perez-Gonzalez","raw_affiliation_strings":["Universidade de Vigo, Vigo, Galicia, ES","Signal Theor. & Commun. Dept., Univ. of Vigo, Vigo, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade de Vigo, Vigo, Galicia, ES","institution_ids":["https://openalex.org/I6289922"]},{"raw_affiliation_string":"Signal Theor. & Commun. Dept., Univ. of Vigo, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I6289922"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":null,"first_page":"159","last_page":"164"},"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":0.9951000213623047,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9839000105857849,"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/randomness","display_name":"Randomness","score":0.6854487657546997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.65020352602005},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5092986822128296},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5054168701171875},{"id":"https://openalex.org/keywords/distributed-source-coding","display_name":"Distributed source coding","score":0.49386316537857056},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.4904725253582001},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.488300085067749},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.48617953062057495},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.45350152254104614},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.43746817111968994},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43515220284461975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25672224164009094},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21269381046295166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20100271701812744},{"id":"https://openalex.org/keywords/channel-code","display_name":"Channel code","score":0.15660768747329712},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.11323657631874084},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09517621994018555}],"concepts":[{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.6854487657546997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.65020352602005},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5092986822128296},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5054168701171875},{"id":"https://openalex.org/C200801453","wikidata":"https://www.wikidata.org/wiki/Q5283181","display_name":"Distributed source coding","level":4,"score":0.49386316537857056},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.4904725253582001},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.488300085067749},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.48617953062057495},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.45350152254104614},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.43746817111968994},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43515220284461975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25672224164009094},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21269381046295166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20100271701812744},{"id":"https://openalex.org/C166366890","wikidata":"https://www.wikidata.org/wiki/Q602136","display_name":"Channel code","level":3,"score":0.15660768747329712},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.11323657631874084},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09517621994018555},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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":1,"locations":[{"id":"doi:10.1109/mmsp.2013.6659281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2013.6659281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1500551892","https://openalex.org/W1974086310","https://openalex.org/W2004775785","https://openalex.org/W2083972203","https://openalex.org/W2093512257","https://openalex.org/W2099111195","https://openalex.org/W2099213070","https://openalex.org/W2118053687","https://openalex.org/W2134396947","https://openalex.org/W2144616839","https://openalex.org/W2150412388","https://openalex.org/W2478708596","https://openalex.org/W2540224028"],"related_works":["https://openalex.org/W2105321464","https://openalex.org/W2887774187","https://openalex.org/W2388220555","https://openalex.org/W3048739257","https://openalex.org/W1665563134","https://openalex.org/W2963604926","https://openalex.org/W1616881371","https://openalex.org/W1520875569","https://openalex.org/W2199957582","https://openalex.org/W2033178790"],"abstract_inverted_index":{"In":[0],"a":[1],"wide":[2],"range":[3],"of":[4,15,36,58],"practical":[5,99],"multimedia":[6],"scenarios":[7,100],"several":[8],"correlated":[9],"contents":[10],"are":[11,101,110,119],"available.":[12],"The":[13,40],"aim":[14],"this":[16],"work":[17],"is":[18,43,62,72,79],"to":[19,51,67,81],"quantify":[20],"the":[21,44,48,54,59,70,82,87,92,104,107,113],"gain":[22],"that":[23],"can":[24],"be":[25],"achieved":[26],"in":[27,65],"forensic":[28],"applications":[29],"by":[30],"jointly":[31],"considering":[32],"those":[33],"contents,":[34],"instead":[35],"analyzing":[37],"them":[38],"separately.":[39],"used":[41],"tool":[42],"Kullback-Leibler":[45],"Divergence":[46],"between":[47,106],"distributions":[49],"corresponding":[50],"different":[52],"operators;":[53],"Maximum":[55],"Likelihood":[56],"estimator":[57],"applied":[60],"operator":[61],"also":[63],"obtained,":[64],"order":[66],"illustrate":[68],"how":[69],"correlation":[71],"exploited":[73],"for":[74,86],"estimation.":[75],"Our":[76],"detailed":[77],"analysis":[78],"constrained":[80],"Gaussian":[83],"case":[84],"(both":[85],"input":[88],"signal":[89],"distribution":[90],"and":[91,95,103],"processing":[93],"randomness)":[94],"linear":[96],"operators.":[97],"Several":[98],"studied,":[102],"relationships":[105],"derived":[108],"results":[109],"established.":[111],"Finally,":[112],"links":[114],"with":[115],"Distributed":[116],"Source":[117],"Coding":[118],"highlighted.":[120]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
