{"id":"https://openalex.org/W2007458243","doi":"https://doi.org/10.1145/1743384.1743410","title":"Robust image copy detection using multi-resolution histogram","display_name":"Robust image copy detection using multi-resolution histogram","publication_year":2010,"publication_date":"2010-03-29","ids":{"openalex":"https://openalex.org/W2007458243","doi":"https://doi.org/10.1145/1743384.1743410","mag":"2007458243"},"language":"en","primary_location":{"id":"doi:10.1145/1743384.1743410","doi":"https://doi.org/10.1145/1743384.1743410","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1743384.1743410","pdf_url":null,"source":{"id":"https://openalex.org/S4306420562","display_name":"Multimedia Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Proceedings of the international conference on Multimedia information retrieval","raw_type":"proceedings-article"},"volume":null,"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/A5048512059","display_name":"Zhihua Xu","orcid":"https://orcid.org/0000-0003-3482-2072","observed_orcids":["https://orcid.org/0000-0003-3482-2072"]},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Xu","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037263298","display_name":"Hefei Ling","orcid":"https://orcid.org/0000-0001-6797-7412","observed_orcids":["https://orcid.org/0000-0001-6797-7412"]},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hefei Ling","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111636717","display_name":"Fuhan Zou","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuhan Zou","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109895617","display_name":"Zhengding Lu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengding Lu","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100435494","display_name":"Ping Li","orcid":"https://orcid.org/0000-0002-1503-0240","observed_orcids":["https://orcid.org/0000-0002-1503-0240"]},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Li","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":2.1932,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89944184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"129","last_page":"136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.6176999807357788,"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":0.6176999807357788,"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":0.18979999423027039,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.15219999849796295,"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/image-copy-detection","display_name":"image copy detection","score":0.9909999966621399},{"id":"https://openalex.org/keywords/color-histogram","display_name":"color histogram","score":0.6899999976158142},{"id":"https://openalex.org/keywords/image-signatures","display_name":"image signatures","score":0.5180000066757202},{"id":"https://openalex.org/keywords/geometric-distortion-robustness","display_name":"geometric distortion robustness","score":0.875},{"id":"https://openalex.org/keywords/signal-processing-attacks","display_name":"signal processing attacks","score":0.8270000219345093},{"id":"https://openalex.org/keywords/image-forensics","display_name":"image forensics","score":0.5}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.8418949842453003},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7599178552627563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7256155610084534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6535770297050476},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6455361247062683},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.5706827640533447},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4905216097831726},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.47074729204177856},{"id":"https://openalex.org/C62725073","wikidata":"https://www.wikidata.org/wiki/Q1771663","display_name":"Image histogram","level":5,"score":0.45312005281448364},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43453115224838257},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34731656312942505},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.1958118975162506},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1743384.1743410","doi":"https://doi.org/10.1145/1743384.1743410","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1743384.1743410","pdf_url":null,"source":{"id":"https://openalex.org/S4306420562","display_name":"Multimedia Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Proceedings of the international conference on Multimedia information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W15747793","https://openalex.org/W1788576983","https://openalex.org/W1975115645","https://openalex.org/W1991700144","https://openalex.org/W1996973598","https://openalex.org/W2038128495","https://openalex.org/W2053058343","https://openalex.org/W2055289292","https://openalex.org/W2078376072","https://openalex.org/W2083992397","https://openalex.org/W2092310225","https://openalex.org/W2096693112","https://openalex.org/W2108901118","https://openalex.org/W2109190643","https://openalex.org/W2109200236","https://openalex.org/W2109376948","https://openalex.org/W2109868644","https://openalex.org/W2115520217","https://openalex.org/W2118462228","https://openalex.org/W2124330204","https://openalex.org/W2141044908","https://openalex.org/W2152100107","https://openalex.org/W2153212819","https://openalex.org/W2171516284","https://openalex.org/W2177274842","https://openalex.org/W2623012778","https://openalex.org/W2907897161","https://openalex.org/W4245773085","https://openalex.org/W4248927948","https://openalex.org/W4253716310"],"related_works":["https://openalex.org/W2077457046","https://openalex.org/W2382056532","https://openalex.org/W2106608297","https://openalex.org/W2032740458","https://openalex.org/W2540149387","https://openalex.org/W3046836886","https://openalex.org/W2378253137","https://openalex.org/W1544980700","https://openalex.org/W2078117917","https://openalex.org/W2104991431"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,19,130],"novel":[4],"robust":[5,55,104],"image":[6,72,76],"copy":[7,77],"detection":[8,78],"scheme":[9],"using":[10],"multi-resolution":[11,17],"histogram.":[12],"In":[13,58,80],"this":[14],"method,":[15,89],"the":[16,35,69,84,87,121],"histogram,":[18],"global":[20],"feature":[21],"descriptor,":[22],"is":[23,66,103,126],"exploited":[24],"to":[25,45,51,56,68,82],"characterize":[26],"an":[27,75,90],"image.":[28],"It":[29],"shares":[30],"many":[31],"desirable":[32],"properties":[33],"with":[34],"plain":[36],"color":[37],"histogram":[38],"including":[39],"that":[40,100,120],"they":[41],"are":[42],"both":[43,106],"fast":[44],"compute,":[46],"efficient":[47],"for":[48,74,135],"storage,":[49],"invariant":[50],"rigid":[52],"motions,":[53],"and":[54,109],"noise.":[57],"addition,":[59],"it":[60],"encodes":[61],"spatial":[62],"information":[63],"directly,":[64],"which":[65],"essential":[67],"discrimination":[70],"of":[71,86,123],"signature":[73],"scheme.":[79],"order":[81],"verify":[83],"robustness":[85],"proposed":[88],"intensive":[91],"simulation":[92],"has":[93],"been":[94],"performed.":[95],"The":[96],"experimental":[97],"results":[98],"demonstrate":[99],"our":[101,124],"method":[102,125],"against":[105],"geometric":[107],"distortions":[108],"signal-processing":[110],"like":[111],"attacks.":[112],"P-R":[113],"curves":[114],"obtained":[115],"under":[116],"various":[117],"attacks":[118],"show":[119],"performance":[122],"better":[127],"than":[128],"such":[129],"few":[131],"classical":[132],"methods":[133],"selected":[134],"comparison.":[136]},"counts_by_year":[{"year":2018,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}