{"id":"https://openalex.org/W2183964636","doi":"https://doi.org/10.1109/tifs.2015.2485163","title":"Robust Image Hashing With Ring Partition and Invariant Vector Distance","display_name":"Robust Image Hashing With Ring Partition and Invariant Vector Distance","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2183964636","doi":"https://doi.org/10.1109/tifs.2015.2485163","mag":"2183964636"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2015.2485163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2015.2485163","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-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/A5087798028","display_name":"Zhenjun Tang","orcid":"https://orcid.org/0000-0003-3664-1363"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenjun Tang","raw_affiliation_strings":["Department of Computer ScienceGuangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer ScienceGuangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]},{"raw_affiliation_string":"Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085013836","display_name":"Xianquan Zhang","orcid":"https://orcid.org/0000-0003-3359-117X"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianquan Zhang","raw_affiliation_strings":["Department of Computer ScienceGuangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer ScienceGuangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]},{"raw_affiliation_string":"Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037037839","display_name":"Xianxian Li","orcid":"https://orcid.org/0000-0002-7083-3847"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianxian Li","raw_affiliation_strings":["Department of Computer ScienceGuangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer ScienceGuangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]},{"raw_affiliation_string":"Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100438525","display_name":"Chengqi Zhang","orcid":"https://orcid.org/0000-0001-5715-7154"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Shichao Zhang","raw_affiliation_strings":["Department of Computer ScienceGuangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","Faculty of Engineering and Information Technology, University of Technology at Sydney, Sydney, NSW, Australia","Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer ScienceGuangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]},{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology at Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087798028"],"corresponding_institution_ids":["https://openalex.org/I29739308"],"apc_list":null,"apc_paid":null,"fwci":11.1957,"has_fulltext":false,"cited_by_count":243,"citation_normalized_percentile":{"value":0.98948812,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"11","issue":"1","first_page":"200","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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":0.9990000128746033,"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"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6479339599609375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5811579823493958},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5754985213279724},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5728095769882202},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5614705085754395},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.5169810056686401},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4853924512863159},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.43786153197288513},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.41617968678474426},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37005800008773804},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3619541525840759},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.26084065437316895},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.1802324652671814}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6479339599609375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5811579823493958},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5754985213279724},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5728095769882202},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5614705085754395},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.5169810056686401},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4853924512863159},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.43786153197288513},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.41617968678474426},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37005800008773804},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3619541525840759},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.26084065437316895},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.1802324652671814},{"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/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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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:10.1109/tifs.2015.2485163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2015.2485163","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1626155639","display_name":null,"funder_award_id":"61300109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3785099869","display_name":null,"funder_award_id":"61170131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4189049308","display_name":null,"funder_award_id":"2012GXNSFGA060004","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G5752634649","display_name":null,"funder_award_id":"61450001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6349116989","display_name":null,"funder_award_id":"61363034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7551183568","display_name":null,"funder_award_id":"2015GXNSFDA139040","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G8361878693","display_name":null,"funder_award_id":"61562007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W595147118","https://openalex.org/W1551558511","https://openalex.org/W1647732624","https://openalex.org/W1801611070","https://openalex.org/W1973489257","https://openalex.org/W1976748469","https://openalex.org/W1982991855","https://openalex.org/W1992166721","https://openalex.org/W1996973598","https://openalex.org/W1998847659","https://openalex.org/W2001108668","https://openalex.org/W2009761066","https://openalex.org/W2017950063","https://openalex.org/W2020498246","https://openalex.org/W2026343519","https://openalex.org/W2048393261","https://openalex.org/W2052283239","https://openalex.org/W2068142860","https://openalex.org/W2070053178","https://openalex.org/W2083992397","https://openalex.org/W2096571195","https://openalex.org/W2097211398","https://openalex.org/W2109190643","https://openalex.org/W2109376948","https://openalex.org/W2111588291","https://openalex.org/W2114550641","https://openalex.org/W2124370754","https://openalex.org/W2129908817","https://openalex.org/W2147810609","https://openalex.org/W2150111216","https://openalex.org/W2153866672","https://openalex.org/W2157716749","https://openalex.org/W2158698691","https://openalex.org/W2159498975","https://openalex.org/W2166554499","https://openalex.org/W2182698726","https://openalex.org/W2206250470","https://openalex.org/W2501907080","https://openalex.org/W3196620053","https://openalex.org/W4253920039","https://openalex.org/W6674843492","https://openalex.org/W6683589515","https://openalex.org/W6686104243","https://openalex.org/W6688422583"],"related_works":["https://openalex.org/W4381744218","https://openalex.org/W2767764284","https://openalex.org/W2059244188","https://openalex.org/W4211126162","https://openalex.org/W4205587245","https://openalex.org/W3087964089","https://openalex.org/W3158263601","https://openalex.org/W3192025065","https://openalex.org/W2146691237","https://openalex.org/W2296561062"],"abstract_inverted_index":{"Robustness":[0],"and":[1,17,29,62,89,99,112,152],"discrimination":[2],"are":[3,44,59],"two":[4],"of":[5,71],"the":[6,40,66,106,115,131,145],"most":[7],"important":[8],"objectives":[9],"in":[10,49,94],"image":[11,22,38,47,96],"hashing.":[12],"We":[13,101],"incorporate":[14],"ring":[15,33],"partition":[16,34],"invariant":[18,61,76],"vector":[19],"distance":[20,68],"to":[21,37,77,82,104,126],"hashing":[23,117,140,148],"algorithm":[24,118],"for":[25],"enhancing":[26],"rotation":[27,60],"robustness":[28,151],"discriminative":[30],"capability.":[31],"As":[32],"is":[35,75,119,141],"unrelated":[36],"rotation,":[39],"statistical":[41],"features":[42,74],"that":[43,114,138],"extracted":[45],"from":[46],"rings":[48],"perceptually":[50],"uniform":[51],"color":[52,57,110],"space,":[53,58],"i.e.,":[54],"CIE":[55],"L*a*b*":[56],"stable.":[63],"In":[64,128],"particular,":[65],"Euclidean":[67],"between":[69],"vectors":[70],"these":[72],"perceptual":[73],"commonly":[78,122],"used":[79,123],"digital":[80,124],"operations":[81,125],"images":[83],"(e.g.,":[84],"JPEG":[85],"compression,":[86],"gamma":[87],"correction,":[88],"brightness/contrast":[90],"adjustment),":[91],"which":[92],"helps":[93],"making":[95],"hash":[97],"compact":[98],"discriminative.":[100],"conduct":[102],"experiments":[103],"evaluate":[105],"efficiency":[107],"with":[108,130],"250":[109],"images,":[111],"demonstrate":[113],"proposed":[116],"robust":[120],"at":[121,150],"images.":[127],"addition,":[129],"receiver":[132],"operating":[133],"characteristics":[134],"curve,":[135],"we":[136],"illustrate":[137],"our":[139],"much":[142],"better":[143],"than":[144],"existing":[146],"popular":[147],"algorithms":[149],"discrimination.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":32},{"year":2020,"cited_by_count":30},{"year":2019,"cited_by_count":27},{"year":2018,"cited_by_count":25},{"year":2017,"cited_by_count":25},{"year":2016,"cited_by_count":10}],"updated_date":"2026-03-08T08:50:53.379069","created_date":"2025-10-10T00:00:00"}