{"id":"https://openalex.org/W1594300462","doi":"https://doi.org/10.1109/icassp.1986.1169094","title":"Adaptive discrete cosine transform image coding using gain/Shape vector quantizers","display_name":"Adaptive discrete cosine transform image coding using gain/Shape vector quantizers","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1594300462","doi":"https://doi.org/10.1109/icassp.1986.1169094","mag":"1594300462"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1986.1169094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1169094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5021417674","display_name":"Takahiro Saito","orcid":"https://orcid.org/0000-0002-0344-3507"},"institutions":[{"id":"https://openalex.org/I41802502","display_name":"Kanagawa University","ror":"https://ror.org/02j6c0d67","country_code":"JP","type":"education","lineage":["https://openalex.org/I41802502"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"T. Saito","raw_affiliation_strings":["Department of Electrical Engineering, Kanagawa University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Kanagawa University, Yokohama, Japan","institution_ids":["https://openalex.org/I41802502"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026680674","display_name":"Hideya Takeo","orcid":null},"institutions":[{"id":"https://openalex.org/I41802502","display_name":"Kanagawa University","ror":"https://ror.org/02j6c0d67","country_code":"JP","type":"education","lineage":["https://openalex.org/I41802502"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Takeo","raw_affiliation_strings":["Department of Electrical Engineering, Kanagawa University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Kanagawa University, Yokohama, Japan","institution_ids":["https://openalex.org/I41802502"]}]},{"author_position":"middle","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"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Aizawa","raw_affiliation_strings":["Department of Electrical Engineering, University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051552158","display_name":"Hiroshi Harashima","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. Harashima","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5109913116","display_name":"Hiroshi Miyakawa","orcid":null},"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"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Miyakawa","raw_affiliation_strings":["Department of Electrical Engineering, University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021417674"],"corresponding_institution_ids":["https://openalex.org/I41802502"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.07118503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"129","last_page":"132"},"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":0.9954000115394592,"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":0.9905999898910522,"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/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.929745614528656},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.7742131948471069},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.6917353272438049},{"id":"https://openalex.org/keywords/lapped-transform","display_name":"Lapped transform","score":0.6438494920730591},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.616592288017273},{"id":"https://openalex.org/keywords/modified-discrete-cosine-transform","display_name":"Modified discrete cosine transform","score":0.6107087731361389},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5816328525543213},{"id":"https://openalex.org/keywords/sub-band-coding","display_name":"Sub-band coding","score":0.5554754734039307},{"id":"https://openalex.org/keywords/coding-gain","display_name":"Coding gain","score":0.5382921695709229},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.502103328704834},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.46747398376464844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41631847620010376},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3815689980983734},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33990275859832764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33386069536209106},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.28681665658950806},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2396416962146759}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.929745614528656},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.7742131948471069},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.6917353272438049},{"id":"https://openalex.org/C91458471","wikidata":"https://www.wikidata.org/wiki/Q17096468","display_name":"Lapped transform","level":5,"score":0.6438494920730591},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.616592288017273},{"id":"https://openalex.org/C28726691","wikidata":"https://www.wikidata.org/wiki/Q1268231","display_name":"Modified discrete cosine transform","level":5,"score":0.6107087731361389},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5816328525543213},{"id":"https://openalex.org/C98526533","wikidata":"https://www.wikidata.org/wiki/Q1691938","display_name":"Sub-band coding","level":3,"score":0.5554754734039307},{"id":"https://openalex.org/C76862118","wikidata":"https://www.wikidata.org/wiki/Q1105671","display_name":"Coding gain","level":3,"score":0.5382921695709229},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.502103328704834},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.46747398376464844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41631847620010376},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3815689980983734},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33990275859832764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33386069536209106},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.28681665658950806},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2396416962146759},{"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/icassp.1986.1169094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1169094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","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":13,"referenced_works":["https://openalex.org/W2008224133","https://openalex.org/W2044002522","https://openalex.org/W2057517394","https://openalex.org/W2109808436","https://openalex.org/W2118274709","https://openalex.org/W2121055926","https://openalex.org/W2134383396","https://openalex.org/W2138054245","https://openalex.org/W2147516421","https://openalex.org/W2154410785","https://openalex.org/W2403035479","https://openalex.org/W2913399920","https://openalex.org/W4244017338"],"related_works":["https://openalex.org/W2978563117","https://openalex.org/W2046080157","https://openalex.org/W2382580345","https://openalex.org/W2173905799","https://openalex.org/W3152310464","https://openalex.org/W1594300462","https://openalex.org/W1950841070","https://openalex.org/W2156477611","https://openalex.org/W1967066785","https://openalex.org/W1915466985"],"abstract_inverted_index":{"An":[0],"efficient":[1],"discrete":[2,101],"cosine":[3,102],"transform":[4,22,41,103],"image":[5],"coding":[6,19,84,104],"system":[7],"using":[8,106],"the":[9,18,34,38,49,75,80,107],"gain/shape":[10,50],"vector":[11,51],"quantizers":[12],"(DCT-G/S":[13],"VQ)":[14,67],"is":[15,68,94],"presented.":[16],"In":[17,60],"system,":[20],"AC":[21,40],"coefficients":[23,42],"in":[24,79],"a":[25,55,72],"subblock":[26],"are":[27,46,86],"partitoned":[28],"into":[29],"several":[30],"bands":[31],"according":[32],"to":[33,96],"Schaming's":[35],"method,":[36],"and":[37,91],"normalized":[39],"of":[43,74,98],"each":[44],"band":[45],"quantized":[47],"with":[48],"quantizer":[52],"designed":[53],"on":[54,88],"spherically":[56],"symmetric":[57],"probability":[58],"model.":[59],"addition,":[61],"an":[62],"adaptive":[63],"DCT-G/S":[64,81],"VQ":[65],"(A-DCT-G/S":[66],"presented":[69],"by":[70],"incorporating":[71],"modification":[73],"recursive":[76],"quantization":[77],"technique":[78],"VQ.":[82],"The":[83],"systems":[85,105],"simulated":[87],"color":[89],"images,":[90],"their":[92],"performance":[93],"compared":[95],"that":[97],"previously":[99],"reported":[100],"Max-type":[108],"scalor":[109],"quantizers.":[110]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
