{"id":"https://openalex.org/W2147003000","doi":"https://doi.org/10.1109/iccvw.2009.5457544","title":"Compressed representation of feature vectors using a Bloomier filter and its application to specific object recognition","display_name":"Compressed representation of feature vectors using a Bloomier filter and its application to specific object recognition","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2147003000","doi":"https://doi.org/10.1109/iccvw.2009.5457544","mag":"2147003000"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2009.5457544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2009.5457544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops","raw_type":"proceedings-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/A5027332963","display_name":"Katsufumi Inoue","orcid":"https://orcid.org/0000-0001-6073-7264"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Katsufumi Inoue","raw_affiliation_strings":["Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuencho, Naka, Sakai, 599-8531 Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]},{"raw_affiliation_string":"Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuencho, Naka, Sakai, 599-8531 Japan","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000232184","display_name":"Koichi Kise","orcid":"https://orcid.org/0000-0001-5779-6968"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koichi Kise","raw_affiliation_strings":["Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuencho, Naka, Sakai, 599-8531 Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]},{"raw_affiliation_string":"Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuencho, Naka, Sakai, 599-8531 Japan","institution_ids":["https://openalex.org/I15807432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027332963"],"corresponding_institution_ids":["https://openalex.org/I15807432"],"apc_list":null,"apc_paid":null,"fwci":0.3281,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63880597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"2133","last_page":"2140"},"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":1.0,"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":1.0,"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":0.9991000294685364,"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":0.9983999729156494,"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":0.6992249488830566},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6702622771263123},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6496610641479492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6140658855438232},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6065858602523804},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5855700969696045},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5368260741233826},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47126269340515137},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.4651058614253998},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4640433192253113},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45152348279953003},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4495214819908142},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44660690426826477},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.44476187229156494},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.4119185209274292},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4100843071937561},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21473485231399536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6992249488830566},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6702622771263123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6496610641479492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6140658855438232},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6065858602523804},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5855700969696045},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5368260741233826},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47126269340515137},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.4651058614253998},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4640433192253113},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45152348279953003},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4495214819908142},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44660690426826477},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.44476187229156494},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.4119185209274292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4100843071937561},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21473485231399536},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccvw.2009.5457544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2009.5457544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.212.4647","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.212.4647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1971260297","https://openalex.org/W1971616954","https://openalex.org/W2034335158","https://openalex.org/W2038276547","https://openalex.org/W2062067430","https://openalex.org/W2069074882","https://openalex.org/W2083200674","https://openalex.org/W2123845384","https://openalex.org/W2124087378","https://openalex.org/W2127583317","https://openalex.org/W2128017662","https://openalex.org/W2131846894","https://openalex.org/W2145072179","https://openalex.org/W2148809531","https://openalex.org/W2151103935","https://openalex.org/W2155231285","https://openalex.org/W2162601563","https://openalex.org/W2427881153","https://openalex.org/W6643161099","https://openalex.org/W6681554747"],"related_works":["https://openalex.org/W2148008870","https://openalex.org/W2381195555","https://openalex.org/W2368606575","https://openalex.org/W4246757943","https://openalex.org/W2132753198","https://openalex.org/W2369874856","https://openalex.org/W2182477562","https://openalex.org/W2792185758","https://openalex.org/W2787484455","https://openalex.org/W2119808169"],"abstract_inverted_index":{"Nearest":[0],"neighbor":[1],"search":[2],"of":[3,36,48,91,100,122,127],"feature":[4,26,37,69,123],"vectors":[5,27,38,70],"representing":[6],"local":[7],"features":[8],"is":[9,21,50,61,77,104,111,137],"often":[10],"employed":[11],"for":[12,52,118],"specific":[13,131],"object":[14,92,132],"recognition.":[15],"In":[16,84],"such":[17],"a":[18,45,89,107,142,145],"method,":[19],"it":[20],"required":[22],"to":[23,28,57,62,72,80,105,141],"store":[24],"many":[25],"match":[29],"them":[30],"by":[31],"distance":[32,65,95],"calculation.":[33,96],"The":[34,97],"number":[35],"is,":[39],"in":[40,139],"general,":[41],"so":[42],"large":[43],"that":[44],"huge":[46],"amount":[47],"memory":[49,113],"needed":[51],"their":[53],"storage.":[54],"A":[55],"way":[56],"solve":[58],"this":[59,85],"problem":[60],"skip":[63],"the":[64,82,101,134],"calculation":[66],"because":[67],"no":[68,78],"need":[71,79],"be":[73],"stored":[74],"if":[75],"there":[76],"calculate":[81],"distance.":[83],"paper,":[86],"we":[87],"propose":[88],"method":[90,103,136,143],"recognition":[93],"without":[94],"characteristic":[98],"point":[99],"proposed":[102,135],"use":[106],"Bloomier":[108],"filter,":[109],"which":[110],"far":[112],"efficient":[114],"than":[115],"hash":[116,146],"tables,":[117],"storage":[119],"and":[120,129],"matching":[121],"vectors.":[124],"From":[125],"experiments":[126],"planar":[128],"3D":[130],"recognition,":[133],"evaluated":[138],"comparison":[140],"with":[144],"table.":[147]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
