{"id":"https://openalex.org/W2086789183","doi":"https://doi.org/10.1109/mmsp.2007.4412887","title":"Robust perceptual hashing as classification problem: decision-theoretic and practical considerations","display_name":"Robust perceptual hashing as classification problem: decision-theoretic and practical considerations","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2086789183","doi":"https://doi.org/10.1109/mmsp.2007.4412887","mag":"2086789183"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2007.4412887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2007.4412887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 9th Workshop on Multimedia Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://archive-ouverte.unige.ch/unige:47960","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091506990","display_name":"Slava Voloshynovskiy","orcid":"https://orcid.org/0000-0003-0416-9674"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Sviatoslav Voloshynovskiy","raw_affiliation_strings":["CUI-University of Geneva, Geneva, Switzerland","CUI-Univ. of Geneva, Geneva"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CUI-University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"CUI-Univ. of Geneva, Geneva","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001216680","display_name":"Oleksiy Koval","orcid":null},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Oleksiy Koval","raw_affiliation_strings":["CUI-University of Geneva, Geneva, Switzerland","CUI-Univ. of Geneva, Geneva"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CUI-University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"CUI-Univ. of Geneva, Geneva","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019546286","display_name":"Fokko Beekhof","orcid":null},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Fokko Beekhof","raw_affiliation_strings":["CUI-University of Geneva, Geneva, Switzerland","CUI-Univ. of Geneva, Geneva"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CUI-University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"CUI-Univ. of Geneva, Geneva","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108500658","display_name":"Thierry Pun","orcid":null},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Thierry Pun","raw_affiliation_strings":["CUI-University of Geneva, Geneva, Switzerland","CUI-Univ. of Geneva, Geneva"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CUI-University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]},{"raw_affiliation_string":"CUI-Univ. of Geneva, Geneva","institution_ids":["https://openalex.org/I114457229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114457229"],"apc_list":null,"apc_paid":null,"fwci":2.8892,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.92603867,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"345","last_page":"348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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":0.9990000128746033,"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/robustness","display_name":"Robustness (evolution)","score":0.6948187351226807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.690093457698822},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.646804928779602},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5978800654411316},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.5706601142883301},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4961629807949066},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.4939897656440735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4792197346687317},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4684847593307495},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4352192282676697},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3456374406814575},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32477372884750366},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.2577105462551117},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22657248377799988},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12551164627075195},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.08579665422439575}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6948187351226807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690093457698822},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.646804928779602},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5978800654411316},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.5706601142883301},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4961629807949066},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4939897656440735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4792197346687317},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4684847593307495},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4352192282676697},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3456374406814575},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32477372884750366},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.2577105462551117},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22657248377799988},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12551164627075195},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.08579665422439575},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mmsp.2007.4412887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2007.4412887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 9th Workshop on Multimedia Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:unige.ch:unige:47960","is_oa":true,"landing_page_url":"https://archive-ouverte.unige.ch/unige:47960","pdf_url":null,"source":{"id":"https://openalex.org/S4306402259","display_name":"Archive ouverte UNIGE (University of Geneva)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114457229","host_organization_name":"University of Geneva","host_organization_lineage":["https://openalex.org/I114457229"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE 9th Workshop on Multimedia Signal Processing, MMSP 2007 pp. 345-348","raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":{"id":"pmh:oai:unige.ch:unige:47960","is_oa":true,"landing_page_url":"https://archive-ouverte.unige.ch/unige:47960","pdf_url":null,"source":{"id":"https://openalex.org/S4306402259","display_name":"Archive ouverte UNIGE (University of Geneva)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114457229","host_organization_name":"University of Geneva","host_organization_lineage":["https://openalex.org/I114457229"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE 9th Workshop on Multimedia Signal Processing, MMSP 2007 pp. 345-348","raw_type":"info:eu-repo/semantics/bookPart"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1028175242","display_name":"Stochastic Detection of Hidden Information","funder_award_id":"68653","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G1505040121","display_name":"Information-theoretic framework for documents and brands protection based on digital data-hiding","funder_award_id":"114613","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G2697584018","display_name":"Information-theoretic document authentication and self-recovering based on digital data-hiding","funder_award_id":"111643","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G993971353","display_name":null,"funder_award_id":"200021","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"}],"funders":[{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2035460883","https://openalex.org/W2109376948","https://openalex.org/W2171073511"],"related_works":["https://openalex.org/W2132034299","https://openalex.org/W3124800526","https://openalex.org/W4251536634","https://openalex.org/W2088296667","https://openalex.org/W1551533237","https://openalex.org/W2185281229","https://openalex.org/W1750955152","https://openalex.org/W43986179","https://openalex.org/W4319653630","https://openalex.org/W3192973254"],"abstract_inverted_index":{"In":[0],"this":[1,18],"paper":[2],"we":[3,16,65],"consider":[4,66],"the":[5,48,55,67,112,118,123,127],"problem":[6,19],"of":[7,36,50,58,80,114,117,126],"robust":[8],"perceptual":[9],"hashing":[10],"as":[11,20],"composite":[12],"hypothesis":[13,22,96],"testing.":[14],"First,":[15],"formulate":[17],"multiple":[21],"testing":[23,97],"under":[24],"prior":[25],"ambiguity":[26],"about":[27,82],"source":[28,59,83],"statistics":[29,84],"and":[30,60,85],"channel":[31,62],"parameters":[32],"representing":[33],"a":[34,94],"family":[35],"restricted":[37],"geometric":[38,61],"attacks.":[39],"We":[40,110],"introduce":[41],"an":[42],"efficient":[43],"universal":[44],"test":[45],"that":[46,121],"achieves":[47],"performance":[49],"informed":[51],"decision":[52],"rules":[53],"for":[54,98],"specified":[56],"class":[57],"models.":[63],"Finally,":[64],"practical":[68,124],"hash":[69,90],"construction,":[70],"which":[71],"compromises":[72],"computational":[73],"complexity,":[74],"robustness":[75],"to":[76],"geometrical":[77],"transformations,":[78],"lack":[79],"priors":[81],"security":[86],"requirements.":[87],"The":[88],"proposed":[89],"is":[91],"based":[92],"on":[93],"binary":[95],"randomly":[99],"or":[100,104,108],"semantically":[101],"selected":[102],"blocks":[103],"regions":[105],"in":[106],"sequences":[107],"images.":[109],"present":[111],"results":[113],"experimental":[115],"validation":[116],"developed":[119],"concept":[120],"justifies":[122],"efficiency":[125],"elaborated":[128],"framework.":[129]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}