{"id":"https://openalex.org/W2743165962","doi":"https://doi.org/10.1109/tci.2017.2736980","title":"Hash Ranking With Weighted Asymmetric Distance for Image Search","display_name":"Hash Ranking With Weighted Asymmetric Distance for Image Search","publication_year":2017,"publication_date":"2017-08-07","ids":{"openalex":"https://openalex.org/W2743165962","doi":"https://doi.org/10.1109/tci.2017.2736980","mag":"2743165962"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2017.2736980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2017.2736980","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2334-0118","2573-0436"],"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 Computational Imaging","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/A5074890965","display_name":"Yuan Cao","orcid":"https://orcid.org/0000-0002-1445-8210"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Cao","raw_affiliation_strings":["School of Computer Science and Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087744818","display_name":"Heng Qi","orcid":"https://orcid.org/0000-0002-8770-3934"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]},{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Heng Qi","raw_affiliation_strings":["Graduate School of Informatics, Nagoya University, Nagoya, Japan","School of Computer Science and Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-8770-3934","affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]},{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080180020","display_name":"Jien Kato","orcid":"https://orcid.org/0000-0002-0196-4405"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jien Kato","raw_affiliation_strings":["Graduate School of Informatics, Nagoya University, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111982109","display_name":"Keqiu Li","orcid":"https://orcid.org/0000-0003-1758-3030"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keqiu Li","raw_affiliation_strings":["School of Computer Science and Technology, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2706,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.63267428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3","issue":"4","first_page":"1008","last_page":"1019"},"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":0.9787999987602234,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/hamming-distance","display_name":"Hamming distance","score":0.8011189699172974},{"id":"https://openalex.org/keywords/hamming-space","display_name":"Hamming space","score":0.6559476852416992},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6403143405914307},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6030390858650208},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.5010976791381836},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4883227050304413},{"id":"https://openalex.org/keywords/hamming-weight","display_name":"Hamming weight","score":0.48450252413749695},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.47962817549705505},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.469152569770813},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46069642901420593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45708250999450684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42547258734703064},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.3769608438014984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3298690617084503},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.30803757905960083},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.07334434986114502}],"concepts":[{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.8011189699172974},{"id":"https://openalex.org/C2779494224","wikidata":"https://www.wikidata.org/wiki/Q5645799","display_name":"Hamming space","level":5,"score":0.6559476852416992},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6403143405914307},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6030390858650208},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.5010976791381836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4883227050304413},{"id":"https://openalex.org/C63361517","wikidata":"https://www.wikidata.org/wiki/Q5645805","display_name":"Hamming weight","level":5,"score":0.48450252413749695},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.47962817549705505},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.469152569770813},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46069642901420593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45708250999450684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42547258734703064},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3769608438014984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3298690617084503},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.30803757905960083},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.07334434986114502},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tci.2017.2736980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2017.2736980","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2334-0118","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G1596751565","display_name":null,"funder_award_id":"2015R049","funder_id":"https://openalex.org/F4320316071","funder_display_name":"Dalian High-Level Talent Innovation Program"},{"id":"https://openalex.org/G3294051369","display_name":"\u79fb\u52a8\u89c6\u89c9\u68c0\u7d22\u5173\u952e\u6280\u672f\u7684\u7814\u7a76","funder_award_id":"61370199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3829722997","display_name":null,"funder_award_id":"2016YFB1000205","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6901009622","display_name":"\u5927\u89c4\u6a21\u6570\u636e\u4e2d\u5fc3\u7684\u5e26\u5bbd\u5206\u914d\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61672379","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7733246160","display_name":"\u9762\u5411\u53ef\u89c6\u5a92\u4f53\u5927\u6570\u636e\u5904\u7406\u7684\u8ba1\u7b97\u7f51\u7edc\u534f\u540c\u8c03\u5ea6\u5173\u952e\u6280\u672f\u7684\u7814\u7a76","funder_award_id":"61772112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320316071","display_name":"Dalian High-Level Talent Innovation Program","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W177297205","https://openalex.org/W1566135517","https://openalex.org/W1972036246","https://openalex.org/W1979153773","https://openalex.org/W1987566020","https://openalex.org/W1992371516","https://openalex.org/W2001439237","https://openalex.org/W2007972795","https://openalex.org/W2007972815","https://openalex.org/W2015509951","https://openalex.org/W2029205712","https://openalex.org/W2033365921","https://openalex.org/W2034865485","https://openalex.org/W2035353512","https://openalex.org/W2044284589","https://openalex.org/W2045143396","https://openalex.org/W2045926516","https://openalex.org/W2074668987","https://openalex.org/W2084363474","https://openalex.org/W2099253838","https://openalex.org/W2100839471","https://openalex.org/W2112796928","https://openalex.org/W2115407997","https://openalex.org/W2124509324","https://openalex.org/W2127218421","https://openalex.org/W2133059825","https://openalex.org/W2133995768","https://openalex.org/W2147717514","https://openalex.org/W2151103935","https://openalex.org/W2158578794","https://openalex.org/W2161449253","https://openalex.org/W2168305139","https://openalex.org/W2170314267","https://openalex.org/W2170609167","https://openalex.org/W2171790913","https://openalex.org/W2251864938","https://openalex.org/W2292992741","https://openalex.org/W2293597654","https://openalex.org/W3118608800","https://openalex.org/W6607183442","https://openalex.org/W6648560114","https://openalex.org/W6678914141","https://openalex.org/W6683626818","https://openalex.org/W6684715329","https://openalex.org/W6691474080","https://openalex.org/W6696891034","https://openalex.org/W6697214482","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2036753599","https://openalex.org/W1519122282","https://openalex.org/W1981727981","https://openalex.org/W2122308665","https://openalex.org/W2182731056","https://openalex.org/W2158117886","https://openalex.org/W2170314267","https://openalex.org/W2949049896","https://openalex.org/W3205692356","https://openalex.org/W2162197285"],"abstract_inverted_index":{"Image":[0],"search":[1,14,28,39],"can":[2,290],"be":[3],"viewed":[4],"as":[5],"a":[6,268],"problem":[7],"of":[8,30,66,130,141,164,188,196,216,234,255,271],"large-scale":[9],"approximate":[10],"nearest":[11],"neighbor":[12],"(ANN)":[13],"in":[15,134,183,211,232],"image":[16,326],"feature":[17,318],"space.":[18],"Hash":[19],"ranking":[20,44,65,86,154,301],"methods":[21,45,254],"have":[22],"been":[23],"widely":[24],"used":[25],"for":[26,317,325],"ANN":[27],"because":[29],"their":[31],"two":[32,47,162,190,197],"benefits:":[33],"less":[34],"memory":[35],"usage":[36],"and":[37,51,176,249,258,281,302],"high":[38],"efficiency.":[40],"Generally,":[41],"the":[42,59,64,92,97,104,139,170,177,200,205,221,225,242,252,263,287,305],"hash":[43,68],"face":[46],"problems:":[48],"binary":[49,52,67],"encoding":[50],"code":[53],"ranking.":[54,310],"This":[55],"paper":[56],"focuses":[57],"on":[58,74,208,273],"latter.":[60],"In":[61,199,224],"existing":[62,135,306],"work,":[63],"codes":[69],"is":[70,115,144,315,323],"usually":[71,125],"implemented":[72],"based":[73,173,180,300,309],"Hamming":[75,80,94,108,298],"distance":[76,81,95,106,167,299,308],"or":[77],"asymmetric":[78,105,112,166,307],"distance.":[79,109],"easily":[82],"leads":[83],"to":[84,96,107,117,152,219,239,293],"confusing":[85],"when":[87,138],"different":[88],"candidate":[89,132,142,217],"points":[90,133,143,218],"share":[91],"same":[93],"query":[98],"point.":[99],"Therefore,":[100],"recent":[101],"work":[102],"prefers":[103],"When":[110],"computing":[111],"distance,":[113],"it":[114],"necessary":[116],"give":[118],"reasonable":[119],"query-independent":[120,206,256],"values.":[121],"These":[122],"values":[123,129,148,207,257],"are":[124,149,193,251],"approximated":[126],"by":[127],"average":[128,147],"sample":[131],"methods.":[136],"However,":[137],"distribution":[140,215],"not":[145],"uniform,":[146],"meaningless,":[150],"leading":[151],"wrong":[153],"results.":[155],"To":[156,261],"address":[157],"this":[158,184],"problem,":[159],"we":[160,203,228,266],"propose":[161],"kinds":[163],"weighted":[165],"algorithms,":[168,265],"namely,":[169,277],"Otsu":[171],"threshold":[172],"algorithm":[174,181],"(WoRank)":[175],"score":[178],"calculation":[179],"(WsRank)":[182],"paper.":[185],"The":[186,245,283],"processes":[187],"these":[189],"proposed":[191,264,288],"algorithms":[192,289],"similar,":[194],"consisting":[195],"steps.":[198],"first":[201],"step,":[202,227],"compute":[204,229],"each":[209,235],"bit":[210],"accordance":[212],"with":[213],"corresponding":[214],"reduce":[220],"approximation":[222],"error.":[223],"second":[226],"bitwise":[230,259],"weights":[231],"consideration":[233],"bit's":[236],"discriminative":[237],"power":[238],"further":[240],"improve":[241],"retrieval":[243],"accuracy.":[244],"differences":[246],"between":[247],"WoRank":[248,314],"WsRank":[250,322],"computation":[253],"weights.":[260],"evaluate":[262],"conduct":[267],"large":[269],"number":[270],"experiments":[272],"four":[274],"well-known":[275],"datasets,":[276],"SIFT,":[278],"CIFAR-10,":[279],"MNIST,":[280],"NUS-WIDE.":[282],"results":[284],"show":[285],"that":[286],"achieve":[291],"up":[292],"22%":[294],"performance":[295],"gains":[296],"over":[297,304],"13%":[303],"We":[311],"also":[312],"find":[313],"suitable":[316,324],"dataset":[319],"(SIFT),":[320],"while":[321],"datasets.":[327]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-07T14:30:12.667765","created_date":"2025-10-10T00:00:00"}
