{"id":"https://openalex.org/W1600881833","doi":"https://doi.org/10.1109/icme.2004.1394206","title":"A high-speed codebook design algorithm for ECVQ using angular constraint with search space partitioning [image coding example]","display_name":"A high-speed codebook design algorithm for ECVQ using angular constraint with search space partitioning [image coding example]","publication_year":2005,"publication_date":"2005-03-07","ids":{"openalex":"https://openalex.org/W1600881833","doi":"https://doi.org/10.1109/icme.2004.1394206","mag":"1600881833"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2004.1394206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2004.1394206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)","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/A5083740103","display_name":"Ahmed Swilem","orcid":null},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"A. Swilem","raw_affiliation_strings":["Kanazawa University, Japan","Kanazawa University, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kanazawa University, Japan","institution_ids":["https://openalex.org/I10091056"]},{"raw_affiliation_string":"Kanazawa University, Japan#TAB#","institution_ids":["https://openalex.org/I10091056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075381356","display_name":"Kousuke Imamura","orcid":"https://orcid.org/0000-0001-9265-7074"},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Imamura","raw_affiliation_strings":["Kanazawa University, Japan","Kanazawa University, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kanazawa University, Japan","institution_ids":["https://openalex.org/I10091056"]},{"raw_affiliation_string":"Kanazawa University, Japan#TAB#","institution_ids":["https://openalex.org/I10091056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109857970","display_name":"H Hashimoto","orcid":null},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Hashimoto","raw_affiliation_strings":["Kanazawa University, Japan","Kanazawa University, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kanazawa University, Japan","institution_ids":["https://openalex.org/I10091056"]},{"raw_affiliation_string":"Kanazawa University, Japan#TAB#","institution_ids":["https://openalex.org/I10091056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07430215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"371","last_page":"374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression 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/T10901","display_name":"Advanced Data Compression 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9952999949455261,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9944999814033508,"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/codebook","display_name":"Codebook","score":0.9764667749404907},{"id":"https://openalex.org/keywords/linde\u2013buzo\u2013gray-algorithm","display_name":"Linde\u2013Buzo\u2013Gray algorithm","score":0.9488745331764221},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.6793234944343567},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6408029198646545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5649588704109192},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.4827136695384979},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4639301896095276},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4492914080619812},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.431537389755249},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.41464605927467346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26084887981414795}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.9764667749404907},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.9488745331764221},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.6793234944343567},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6408029198646545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5649588704109192},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.4827136695384979},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4639301896095276},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4492914080619812},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.431537389755249},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.41464605927467346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26084887981414795},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2004.1394206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2004.1394206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1634005169","https://openalex.org/W1940736348","https://openalex.org/W2035372682","https://openalex.org/W2100662965","https://openalex.org/W2131578006","https://openalex.org/W2134383396","https://openalex.org/W6636654802"],"related_works":["https://openalex.org/W2352648934","https://openalex.org/W2017514583","https://openalex.org/W2391875658","https://openalex.org/W2100120615","https://openalex.org/W1929869830","https://openalex.org/W2017401491","https://openalex.org/W2387054321","https://openalex.org/W2158612577","https://openalex.org/W2148772884","https://openalex.org/W2011714844"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,20],"fast":[3],"codebook":[4,26,44,53],"generation":[5],"algorithm":[6,13,47,70],"for":[7],"entropy-constrained":[8],"vector":[9],"quantization":[10],"(ECVQ).":[11],"The":[12],"uses":[14],"the":[15,25,34,39,43,52,74],"angular":[16],"constraint":[17],"and":[18,27,37],"employs":[19],"suitable":[21],"hyperplane":[22],"to":[23,32],"partition":[24],"image":[28,61],"data":[29],"in":[30,42,51],"order":[31],"reduce":[33],"search":[35,40],"area":[36],"accelerate":[38],"process":[41],"design.":[45],"This":[46],"allows":[48],"significant":[49],"acceleration":[50],"design":[54],"process.":[55],"Experimental":[56],"results":[57,65],"are":[58],"presented":[59],"on":[60],"block":[62],"data.":[63],"These":[64],"show":[66],"that":[67],"our":[68],"new":[69],"performs":[71],"better":[72],"than":[73],"previously":[75],"known":[76],"methods.":[77]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}