{"id":"https://openalex.org/W2609881649","doi":"https://doi.org/10.1109/tmm.2017.2774009","title":"PQTable: Nonexhaustive Fast Search for Product-Quantized Codes Using Hash Tables","display_name":"PQTable: Nonexhaustive Fast Search for Product-Quantized Codes Using Hash Tables","publication_year":2017,"publication_date":"2017-11-15","ids":{"openalex":"https://openalex.org/W2609881649","doi":"https://doi.org/10.1109/tmm.2017.2774009","mag":"2609881649"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2017.2774009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2017.2774009","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/A5023905620","display_name":"Yusuke Matsui","orcid":"https://orcid.org/0000-0003-1529-0154"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yusuke Matsui","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048624196","display_name":"Toshihiko Yamasaki","orcid":"https://orcid.org/0000-0002-1784-2314"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]},{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshihiko Yamasaki","raw_affiliation_strings":["Department of Information and Communication Engineering, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069982192","display_name":"Kiyoharu Aizawa","orcid":"https://orcid.org/0000-0003-2146-6275"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]},{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyoharu Aizawa","raw_affiliation_strings":["Department of Information and Communication Engineering, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023905620"],"corresponding_institution_ids":["https://openalex.org/I184597095"],"apc_list":null,"apc_paid":null,"fwci":1.0012,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84786269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"20","issue":"7","first_page":"1809","last_page":"1822"},"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T11269","display_name":"Algorithms and Data Compression","score":0.9804999828338623,"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"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7480419874191284},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.63381427526474},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6290614604949951},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.5921701192855835},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5176715850830078},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.47200441360473633},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.46338900923728943},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4180629253387451},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.41743335127830505},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4005311131477356},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3972741663455963},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.31202536821365356},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16219231486320496},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11228084564208984},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.09292006492614746}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7480419874191284},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.63381427526474},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6290614604949951},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.5921701192855835},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5176715850830078},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.47200441360473633},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.46338900923728943},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4180629253387451},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.41743335127830505},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4005311131477356},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3972741663455963},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31202536821365356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16219231486320496},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11228084564208984},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.09292006492614746},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2017.2774009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2017.2774009","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":[{"id":"https://openalex.org/G8049133578","display_name":null,"funder_award_id":"16H07411","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8879789293","display_name":null,"funder_award_id":"15K12025","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W29405626","https://openalex.org/W138284169","https://openalex.org/W1489105815","https://openalex.org/W1729998890","https://openalex.org/W1911745671","https://openalex.org/W1977182282","https://openalex.org/W2010642153","https://openalex.org/W2029205712","https://openalex.org/W2039742379","https://openalex.org/W2041878876","https://openalex.org/W2063123441","https://openalex.org/W2065928620","https://openalex.org/W2066761620","https://openalex.org/W2073459066","https://openalex.org/W2076439560","https://openalex.org/W2077815765","https://openalex.org/W2097117768","https://openalex.org/W2124509324","https://openalex.org/W2133995768","https://openalex.org/W2148554573","https://openalex.org/W2150593711","https://openalex.org/W2158578794","https://openalex.org/W2161451718","https://openalex.org/W2171149307","https://openalex.org/W2171572695","https://openalex.org/W2202454807","https://openalex.org/W2204555070","https://openalex.org/W2276199106","https://openalex.org/W2300352888","https://openalex.org/W2328694828","https://openalex.org/W2411707397","https://openalex.org/W2460613287","https://openalex.org/W2461972671","https://openalex.org/W2468843375","https://openalex.org/W2468923260","https://openalex.org/W2473499128","https://openalex.org/W2513636497","https://openalex.org/W2520799877","https://openalex.org/W2546028063","https://openalex.org/W2593864460","https://openalex.org/W2805874993","https://openalex.org/W2962957673","https://openalex.org/W2963213486","https://openalex.org/W4293565699","https://openalex.org/W4299585995","https://openalex.org/W6601211341","https://openalex.org/W6605707561","https://openalex.org/W6668990524","https://openalex.org/W6683626818","https://openalex.org/W6715177018","https://openalex.org/W6734897383","https://openalex.org/W7028951636"],"related_works":["https://openalex.org/W4378651134","https://openalex.org/W1979633005","https://openalex.org/W4385508213","https://openalex.org/W4388431390","https://openalex.org/W1835589799","https://openalex.org/W2144265691","https://openalex.org/W1567515080","https://openalex.org/W1605991620","https://openalex.org/W4387251676","https://openalex.org/W4385261619"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,166],"propose":[4],"a":[5,31,39,68,115,140],"product":[6,180],"quantization":[7,181],"table":[8,33],"(PQTable)-a":[9],"fast":[10],"search":[11,137],"method":[12],"for":[13,120],"product-quantized":[14],"codes":[15,176],"via":[16],"hash":[17,32],"tables.":[18],"An":[19],"identifier":[20],"of":[21,30,109,134,177],"each":[22],"database":[23],"vector":[24,45],"is":[25,46,73,107],"associated":[26,53],"with":[27,54,145,160],"the":[28,51,64,85,125,135,175],"slot":[29],"by":[34,91],"using":[35],"its":[36],"PQ-code":[37],"as":[38,67],"key.":[40],"For":[41],"querying,":[42],"an":[43,178],"input":[44],"PQ-encoded":[47],"and":[48,50,72,102,112,117],"hashed,":[49],"items":[52],"that":[55,168],"code":[56],"are":[57,127],"then":[58],"retrieved.":[59],"The":[60],"proposed":[61,170],"PQTable":[62,106,131,171],"produces":[63],"same":[65],"results":[66],"linear":[69],"PQ":[70],"scan,":[71],"10":[74,154],"<sup":[75,79,155],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[76,80,156],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[77],"-10":[78],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">5</sup>":[81],"times":[82],"faster.":[83],"Although":[84],"state-of-the-art":[86],"performance":[87],"can":[88,172],"be":[89],"achieved":[90],"previous":[92],"inverted-indexing-based":[93],"approaches,":[94],"such":[95],"methods":[96],"require":[97],"manually":[98],"designed":[99],"parameter":[100],"setting":[101],"significant":[103],"training;":[104],"our":[105,130,169],"free":[108],"these":[110],"limitations,":[111],"therefore":[113],"offers":[114],"practical":[116],"effective":[118],"solution":[119],"real-world":[121],"problems.":[122],"Specifically,":[123],"when":[124],"vectors":[126],"highly":[128],"compressed,":[129],"achieves":[132],"one":[133],"fastest":[136],"performances":[138],"on":[139],"single":[141],"CPU":[142],"to":[143],"date":[144],"significantly":[146],"efficient":[147],"memory":[148,163],"usage":[149],"(0.059-ms":[150],"per":[151],"query":[152],"over":[153],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">9</sup>":[157],"data":[158],"points":[159],"just":[161],"5.5-GB":[162],"consumption).":[164],"Finally,":[165],"show":[167],"naturally":[173],"handle":[174],"optimized":[179],"(OPQTable).":[182]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}