{"id":"https://openalex.org/W3037666824","doi":"https://doi.org/10.1109/tmm.2020.3004962","title":"Online Hashing With Bit Selection for Image Retrieval","display_name":"Online Hashing With Bit Selection for Image Retrieval","publication_year":2020,"publication_date":"2020-06-25","ids":{"openalex":"https://openalex.org/W3037666824","doi":"https://doi.org/10.1109/tmm.2020.3004962","mag":"3037666824"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2020.3004962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.3004962","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5067922510","display_name":"Zhenyu Weng","orcid":"https://orcid.org/0000-0001-7857-8687"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Weng","raw_affiliation_strings":["Communication and Information Security Laboratory, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7857-8687","affiliations":[{"raw_affiliation_string":"Communication and Information Security Laboratory, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056706680","display_name":"Yuesheng Zhu","orcid":"https://orcid.org/0000-0003-2524-6800"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuesheng Zhu","raw_affiliation_strings":["Communication and Information Security Laboratory, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2524-6800","affiliations":[{"raw_affiliation_string":"Communication and Information Security Laboratory, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.3417,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.83271052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"23","issue":null,"first_page":"1868","last_page":"1881"},"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":0.9930999875068665,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9897000193595886,"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/computer-science","display_name":"Computer science","score":0.8258558511734009},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.807746171951294},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.6625474691390991},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.6085804104804993},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.5946004390716553},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.5409582257270813},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.540164053440094},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.5210808515548706},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4483920633792877},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4456923305988312},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3557755947113037},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34613627195358276}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8258558511734009},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.807746171951294},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.6625474691390991},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.6085804104804993},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.5946004390716553},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.5409582257270813},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.540164053440094},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.5210808515548706},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4483920633792877},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4456923305988312},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3557755947113037},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34613627195358276},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2020.3004962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.3004962","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327511","display_name":"Development and Reform Commission of Shenzhen Municipality","ror":"https://ror.org/03jmg4515"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":89,"referenced_works":["https://openalex.org/W89155778","https://openalex.org/W1481061252","https://openalex.org/W1566135517","https://openalex.org/W1686810756","https://openalex.org/W1752277144","https://openalex.org/W1893754589","https://openalex.org/W1910300841","https://openalex.org/W1943357268","https://openalex.org/W1956333070","https://openalex.org/W1974647172","https://openalex.org/W1980048347","https://openalex.org/W1992371516","https://openalex.org/W2029205712","https://openalex.org/W2044072771","https://openalex.org/W2074668987","https://openalex.org/W2075547840","https://openalex.org/W2099253838","https://openalex.org/W2099443716","https://openalex.org/W2108598243","https://openalex.org/W2134514757","https://openalex.org/W2142881874","https://openalex.org/W2145065594","https://openalex.org/W2149623757","https://openalex.org/W2153273131","https://openalex.org/W2160218441","https://openalex.org/W2163605009","https://openalex.org/W2204148968","https://openalex.org/W2240178225","https://openalex.org/W2282231212","https://openalex.org/W2326253368","https://openalex.org/W2411707397","https://openalex.org/W2435696002","https://openalex.org/W2460669233","https://openalex.org/W2464915613","https://openalex.org/W2519631826","https://openalex.org/W2520610372","https://openalex.org/W2535352129","https://openalex.org/W2563615176","https://openalex.org/W2593190442","https://openalex.org/W2594783837","https://openalex.org/W2598003564","https://openalex.org/W2602143720","https://openalex.org/W2602646780","https://openalex.org/W2604298190","https://openalex.org/W2604880013","https://openalex.org/W2605439166","https://openalex.org/W2607312184","https://openalex.org/W2618530766","https://openalex.org/W2738662130","https://openalex.org/W2739103128","https://openalex.org/W2739130108","https://openalex.org/W2739565366","https://openalex.org/W2739981449","https://openalex.org/W2751486419","https://openalex.org/W2752674409","https://openalex.org/W2752930373","https://openalex.org/W2769561364","https://openalex.org/W2781787169","https://openalex.org/W2781821509","https://openalex.org/W2786671750","https://openalex.org/W2791083848","https://openalex.org/W2794382228","https://openalex.org/W2795832645","https://openalex.org/W2798956329","https://openalex.org/W2801122074","https://openalex.org/W2804523126","https://openalex.org/W2805134925","https://openalex.org/W2808376087","https://openalex.org/W2809771837","https://openalex.org/W2888806483","https://openalex.org/W2889024947","https://openalex.org/W2897391546","https://openalex.org/W2905097026","https://openalex.org/W2907166662","https://openalex.org/W2948171447","https://openalex.org/W2962798326","https://openalex.org/W2963113062","https://openalex.org/W2963323172","https://openalex.org/W2964181521","https://openalex.org/W3009009611","https://openalex.org/W3098959905","https://openalex.org/W3106411919","https://openalex.org/W3123256893","https://openalex.org/W6637373629","https://openalex.org/W6648560114","https://openalex.org/W6681077227","https://openalex.org/W6683584131","https://openalex.org/W6735953149","https://openalex.org/W6736352116"],"related_works":["https://openalex.org/W1870428314","https://openalex.org/W2783286101","https://openalex.org/W2100189723","https://openalex.org/W1998749283","https://openalex.org/W2921167217","https://openalex.org/W2000284985","https://openalex.org/W4212830455","https://openalex.org/W2086731314","https://openalex.org/W2158169729","https://openalex.org/W2058116810"],"abstract_inverted_index":{"Online":[0],"hashing":[1,30,75,162],"methods":[2,49,163],"have":[3,144],"been":[4],"intensively":[5],"investigated":[6],"in":[7,15,47,53,77,136],"semantic":[8],"image":[9],"retrieval":[10],"due":[11],"to":[12,41,60,85,92,102,119],"their":[13],"efficiency":[14],"learning":[16],"the":[17,24,28,35,44,62,65,79,86,94,104,110,113,120,124,127,130,137,141,166,170],"hash":[18,95,115,131,142],"functions":[19,96,116,132,143],"with":[20],"one":[21],"pass":[22],"through":[23],"streaming":[25],"data.":[26,66],"Among":[27],"online":[29,59,74,107,161],"methods,":[31],"those":[32],"based":[33],"on":[34,164],"target":[36,45,80,111],"codes":[37,46,81],"are":[38,50,82,90,117],"usually":[39],"superior":[40],"others.":[42],"However,":[43],"these":[48],"generated":[51],"heuristically":[52],"advance":[54],"and":[55,89,169],"cannot":[56],"be":[57],"learned":[58,114],"capture":[61],"characteristics":[63,88],"of":[64],"In":[67],"this":[68],"paper,":[69],"we":[70],"propose":[71],"a":[72,100],"new":[73],"method":[76,152],"which":[78],"constructed":[83],"according":[84],"data":[87],"used":[91],"learn":[93],"online.":[97],"By":[98],"designing":[99],"metric":[101],"select":[103],"effective":[105],"bits":[106],"for":[108],"constructing":[109],"codes,":[112],"resistant":[118],"bit-flipping":[121],"error.":[122],"At":[123],"same":[125],"time,":[126],"correlation":[128],"between":[129],"is":[133],"also":[134],"considered":[135],"designed":[138],"metric.":[139],"Hence,":[140],"low":[145],"redundancy.":[146],"Extensive":[147],"experiments":[148],"show":[149],"that":[150],"our":[151],"can":[153],"achieve":[154],"comparable":[155],"or":[156],"better":[157],"performance":[158],"than":[159],"other":[160],"both":[165],"static":[167],"database":[168],"dynamic":[171],"database.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}