{"id":"https://openalex.org/W1892226380","doi":"https://doi.org/10.1109/iscas.2003.1206003","title":"A post-processing method for vector quantization to achieve higher PSNR and nearly constant bit rate","display_name":"A post-processing method for vector quantization to achieve higher PSNR and nearly constant bit rate","publication_year":2003,"publication_date":"2003-10-31","ids":{"openalex":"https://openalex.org/W1892226380","doi":"https://doi.org/10.1109/iscas.2003.1206003","mag":"1892226380"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2003.1206003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2003.1206003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03.","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/A5101774608","display_name":"Zhibin Pan","orcid":"https://orcid.org/0009-0002-6499-1408"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zhibin Pan","raw_affiliation_strings":["New industry creation hatchery center, University of Tohoku, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"New industry creation hatchery center, University of Tohoku, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101569986","display_name":"Koji Kotani","orcid":"https://orcid.org/0000-0003-4395-9978"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Kotani","raw_affiliation_strings":["Department of Electronic Engineering, Graduate School of Engineering, University of Tohoku, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Graduate School of Engineering, University of Tohoku, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110826182","display_name":"T. Ohmi","orcid":null},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Ohmi","raw_affiliation_strings":["New industry creation hatchery center, University of Tohoku, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"New industry creation hatchery center, University of Tohoku, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101774608"],"corresponding_institution_ids":["https://openalex.org/I201537933"],"apc_list":null,"apc_paid":null,"fwci":0.2669,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54696416,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"II","last_page":"436"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9968000054359436,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9058777093887329},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.8330180048942566},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6269928812980652},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5754079222679138},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5387049913406372},{"id":"https://openalex.org/keywords/block-size","display_name":"Block size","score":0.4928305447101593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48137882351875305},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4723949134349823},{"id":"https://openalex.org/keywords/constant-bitrate","display_name":"Constant bitrate","score":0.4711006283760071},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4572993218898773},{"id":"https://openalex.org/keywords/linde\u2013buzo\u2013gray-algorithm","display_name":"Linde\u2013Buzo\u2013Gray algorithm","score":0.4440971612930298},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.44397565722465515},{"id":"https://openalex.org/keywords/bit-rate","display_name":"Bit rate","score":0.44137507677078247},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41960012912750244},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4192524552345276},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3763206899166107},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3707178235054016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32511991262435913},{"id":"https://openalex.org/keywords/variable-bitrate","display_name":"Variable bitrate","score":0.22368311882019043},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.11085152626037598},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08012518286705017},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07981914281845093},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.06177413463592529}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.9058777093887329},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.8330180048942566},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6269928812980652},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5754079222679138},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5387049913406372},{"id":"https://openalex.org/C41431624","wikidata":"https://www.wikidata.org/wiki/Q1053357","display_name":"Block size","level":3,"score":0.4928305447101593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48137882351875305},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4723949134349823},{"id":"https://openalex.org/C34339180","wikidata":"https://www.wikidata.org/wiki/Q1325924","display_name":"Constant bitrate","level":4,"score":0.4711006283760071},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4572993218898773},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.4440971612930298},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.44397565722465515},{"id":"https://openalex.org/C2987812609","wikidata":"https://www.wikidata.org/wiki/Q194158","display_name":"Bit rate","level":2,"score":0.44137507677078247},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41960012912750244},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4192524552345276},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3763206899166107},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3707178235054016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32511991262435913},{"id":"https://openalex.org/C57667952","wikidata":"https://www.wikidata.org/wiki/Q1154443","display_name":"Variable bitrate","level":3,"score":0.22368311882019043},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.11085152626037598},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08012518286705017},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07981914281845093},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.06177413463592529},{"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/iscas.2003.1206003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2003.1206003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1986967149","https://openalex.org/W2003793768","https://openalex.org/W2097922162","https://openalex.org/W2098929365","https://openalex.org/W2106173939","https://openalex.org/W2152037928"],"related_works":["https://openalex.org/W2096936443","https://openalex.org/W2081863301","https://openalex.org/W2352648934","https://openalex.org/W1977098967","https://openalex.org/W2365109233","https://openalex.org/W145510127","https://openalex.org/W2374856816","https://openalex.org/W2378932494","https://openalex.org/W2352292447","https://openalex.org/W2017514583"],"abstract_inverted_index":{"In":[0,147],"conventional":[1,59],"vector":[2],"quantization":[3],"(VQ)":[4],"encoding":[5,42],"methods,":[6],"the":[7,22,51,131,133,148,151,165,169],"reachable":[8],"best":[9],"PSNR":[10,30,156],"can":[11,101,114,157],"be":[12,103,115,158],"realized":[13],"by":[14,61,78,105,119],"a":[15,37,69,79,92,144],"full":[16],"search":[17],"(FS)":[18],"equivalent":[19],"method":[20,39,46],"when":[21],"codebook":[23,167],"is":[24,43,53,138],"fixed.":[25],"To":[26],"achieve":[27],"even":[28],"higher":[29],"and":[31,86],"an":[32,55],"almost":[33,173],"undegraded":[34],"bit":[35,112,170],"rate,":[36],"post-processing":[38],"for":[40,54,164],"VQ":[41,60],"proposed.":[44],"This":[45],"first":[47],"checks":[48],"how":[49],"well":[50],"matching":[52,100],"image":[56,72,136,153,155],"block":[57,63,73,137],"after":[58],"its":[62],"PSNR/sub":[64],"b/.":[65],"Then":[66],"it":[67],"partitions":[68],"badly":[70,134],"matched":[71,135],"into":[74],"2":[75,107,121,127],"partial":[76,109],"blocks":[77],"certain":[80],"pattern":[81],"(a":[82],"pair":[83],"of":[84,126,150],"masks)":[85],"encodes":[87],"them":[88],"again":[89],"just":[90],"within":[91],"small":[93],"already":[94],"encoded":[95],"nearby":[96],"area.":[97],"The":[98],"overall":[99],"generally":[102],"improved":[104],"using":[106,120],"smaller":[108],"blocks.":[110],"Meanwhile,":[111],"rate":[113,171],"kept":[116],"nearly":[117],"constant":[118],"shorter":[122],"winner":[123,128],"pointers":[124],"instead":[125],"indexes.":[129],"At":[130],"receiver,":[132],"synthesized":[139],"in":[140],"reverse":[141],"to":[142],"realize":[143],"better":[145],"reconstruction.":[146],"case":[149],"low-detailed":[152],"Splash,":[154],"unproved":[159],"more":[160],"than":[161],"1":[162],"dB":[163],"1024":[166],"while":[168],"has":[172],"undegraded.":[174]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
