{"id":"https://openalex.org/W2766057867","doi":"https://doi.org/10.23919/eusipco.2017.8081662","title":"Pyramid encoding for fast additive quantization","display_name":"Pyramid encoding for fast additive quantization","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2766057867","doi":"https://doi.org/10.23919/eusipco.2017.8081662","mag":"2766057867"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2017.8081662","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://pure.au.dk/portal/en/publications/cfdce44f-2b3a-4652-87a9-d26aa0ecadcd","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061766814","display_name":"Anton Muravev","orcid":"https://orcid.org/0000-0002-4535-4000"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]},{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Anton Muravev","raw_affiliation_strings":["Laboratory of Signal Processing, Tampere University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Laboratory of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042211249","display_name":"Ezgi Can Ozan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]},{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Ezgi Can Ozan","raw_affiliation_strings":["Laboratory of Signal Processing, Tampere University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Laboratory of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064535836","display_name":"Alexandros Iosifidis","orcid":"https://orcid.org/0000-0003-4807-1345"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]},{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["DK","FI"],"is_corresponding":false,"raw_author_name":"Alexandros Iosifidis","raw_affiliation_strings":["Department of Engineering, Aarhus University, Aarhus, Denmark","Laboratory of Signal Processing, Tampere University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, Aarhus University, Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]},{"raw_affiliation_string":"Laboratory of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007583477","display_name":"Moncef Gabbouj","orcid":"https://orcid.org/0000-0002-9788-2323"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]},{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Moncef Gabbouj","raw_affiliation_strings":["Laboratory of Signal Processing, Tampere University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Laboratory of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061766814"],"corresponding_institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"],"apc_list":null,"apc_paid":null,"fwci":0.0924,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48553036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"32","issue":null,"first_page":"2506","last_page":"2510"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9909999966621399,"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/encoding","display_name":"Encoding (memory)","score":0.7136503458023071},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6910988092422485},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.6884338855743408},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6571515798568726},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6096746325492859},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.47541123628616333},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4687291085720062},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.42508798837661743},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41031572222709656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3521878719329834},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.351348876953125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22424399852752686}],"concepts":[{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7136503458023071},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6910988092422485},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.6884338855743408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6571515798568726},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6096746325492859},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.47541123628616333},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4687291085720062},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.42508798837661743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41031572222709656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3521878719329834},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.351348876953125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22424399852752686},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.23919/eusipco.2017.8081662","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/cfdce44f-2b3a-4652-87a9-d26aa0ecadcd","is_oa":true,"landing_page_url":"https://pure.au.dk/portal/en/publications/cfdce44f-2b3a-4652-87a9-d26aa0ecadcd","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Muravev, A, Can Ozan, E, Iosifidis, A & Gabbouj, M 2017, 'Pyramid Encoding for Fast Additive Quantization', Proceedings of the European Signal Processing Conference, vol. 2017, pp. 2575-2579. https://doi.org/10.23919/EUSIPCO.2017.8081662","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:trepo.tuni.fi:10024/213925","is_oa":false,"landing_page_url":"https://trepo.tuni.fi/handle/10024/213925","pdf_url":null,"source":{"id":"https://openalex.org/S7407055260","display_name":"Trepo - Institutional Repository of Tampere University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/cfdce44f-2b3a-4652-87a9-d26aa0ecadcd","is_oa":true,"landing_page_url":"https://pure.au.dk/portal/en/publications/cfdce44f-2b3a-4652-87a9-d26aa0ecadcd","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Muravev, A, Can Ozan, E, Iosifidis, A & Gabbouj, M 2017, 'Pyramid Encoding for Fast Additive Quantization', Proceedings of the European Signal Processing Conference, vol. 2017, pp. 2575-2579. https://doi.org/10.23919/EUSIPCO.2017.8081662","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309928","display_name":"Aarhus Universitet","ror":"https://ror.org/01aj84f44"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W138284169","https://openalex.org/W580280495","https://openalex.org/W1541459201","https://openalex.org/W1870428314","https://openalex.org/W1911745671","https://openalex.org/W1977182282","https://openalex.org/W1980452149","https://openalex.org/W2063123441","https://openalex.org/W2077815765","https://openalex.org/W2118509786","https://openalex.org/W2119913432","https://openalex.org/W2124509324","https://openalex.org/W2133995768","https://openalex.org/W2148554573","https://openalex.org/W2159128662","https://openalex.org/W2162006472","https://openalex.org/W2171149307","https://openalex.org/W2184723813","https://openalex.org/W2913399920","https://openalex.org/W4244017338","https://openalex.org/W6605707561","https://openalex.org/W6616964745","https://openalex.org/W6632397832"],"related_works":["https://openalex.org/W1539956819","https://openalex.org/W4249847449","https://openalex.org/W2093152993","https://openalex.org/W44395729","https://openalex.org/W1489554298","https://openalex.org/W2378212145","https://openalex.org/W2400327593","https://openalex.org/W1988309121","https://openalex.org/W2011867735","https://openalex.org/W2104807620"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,17,58,64,91],"approximate":[3],"nearest":[4],"neighbor":[5],"(ANN)":[6],"search":[7,52,81],"in":[8,33,45,51,95,113],"Big":[9],"Data":[10],"has":[11,47],"been":[12,25],"tackled":[13],"with":[14,99,109],"a":[15,72,84,92],"variety":[16],"recent":[18],"methods.":[19],"Vector":[20],"quantization":[21,43],"based":[22],"solutions":[23],"have":[24],"maintaining":[26],"the":[27,34,49,61,65,78,89,110],"dominant":[28],"position,":[29],"as":[30],"they":[31],"operate":[32],"original":[35,79],"data":[36],"space,":[37],"better":[38],"preserving":[39],"inter-point":[40],"distances.":[41],"Additive":[42],"(AQ)":[44],"particular":[46],"pushed":[48],"state-of-the-art":[50],"accuracy,":[53,114],"but":[54],"high":[55],"computational":[56,118],"costs":[57],"encoding":[59,101],"discourage":[60],"practical":[62],"application":[63],"method.":[66],"This":[67],"paper":[68],"proposes":[69],"pyramid":[70,100],"encoding,":[71],"novel":[73],"technique,":[74],"which":[75],"can":[76],"replace":[77],"beam":[80],"to":[82,105],"provide":[83],"significant":[85,117],"complexity":[86],"reduction":[87],"at":[88],"cost":[90],"slight":[93],"decrease":[94],"retrieval":[96],"performance.":[97],"AQ":[98],"is":[102],"experimentally":[103],"shown":[104],"obtain":[106],"results":[107],"comparable":[108],"baseline":[111],"method":[112],"while":[115],"offering":[116],"benefits.":[119]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
