{"id":"https://openalex.org/W978663149","doi":null,"title":"FAST IMAGE ENCODING ALGORITHM BASED ON MEAN-MATCH CORRELATION VECTOR QUANTIZATION","display_name":"FAST IMAGE ENCODING ALGORITHM BASED ON MEAN-MATCH CORRELATION VECTOR QUANTIZATION","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W978663149","mag":"978663149"},"language":"en","primary_location":{"id":"mag:2351104203","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-TRAN200101008.htm","pdf_url":null,"source":{"id":"https://openalex.org/S4306540776","display_name":"\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u5b66\u62a5\uff1a\u82f1\u6587\u7248","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u5b66\u62a5(\u82f1\u6587\u7248)","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5051141780","display_name":"\u5f90\u6da6\u751f","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u5f90\u6da6\u751f","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027941689","display_name":"\u8bb8\u6653\u9e23","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u8bb8\u6653\u9e23","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5048421906","display_name":"\u5f20\u536b\u4e1c","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u5f20\u536b\u4e1c","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":"1","first_page":"40","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9980000257492065,"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":0.9980000257492065,"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":0.0010999999940395355,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.00039999998989515007,"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/image-compression","display_name":"image compression","score":0.6510000228881836},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"vector quantization","score":0.8799999952316284},{"id":"https://openalex.org/keywords/fast-encoding","display_name":"fast encoding","score":0.42800000309944153},{"id":"https://openalex.org/keywords/codebook-search","display_name":"codebook search","score":0.6110000014305115}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.910293698310852},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.8645623922348022},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.8502016067504883},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6635041236877441},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6307284832000732},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5313653945922852},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5084880590438843},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45609816908836365},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.45246151089668274},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.44058749079704285},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.43464547395706177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43009454011917114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3320235311985016},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.09265941381454468},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"mag:2351104203","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-TRAN200101008.htm","pdf_url":null,"source":{"id":"https://openalex.org/S4306540776","display_name":"\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u5b66\u62a5\uff1a\u82f1\u6587\u7248","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u5b66\u62a5(\u82f1\u6587\u7248)","raw_type":null},{"id":"mag:978663149","doi":null,"is_oa":false,"landing_page_url":"http://www.cqvip.com/QK/85391X/200101/1001450547.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306540776","display_name":"\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u5b66\u62a5\uff1a\u82f1\u6587\u7248","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u5b66\u62a5\uff1a\u82f1\u6587\u7248","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2369258563","https://openalex.org/W1962389215","https://openalex.org/W2379652581","https://openalex.org/W2050457724","https://openalex.org/W2355314830","https://openalex.org/W1909857174","https://openalex.org/W2140591618","https://openalex.org/W4403684137","https://openalex.org/W2389179421","https://openalex.org/W2152106775"],"abstract_inverted_index":{"A":[0],"mean-match":[1],"correlation":[2,32],"vector":[3],"quantizer":[4],"(MMCVQ)":[5],"was":[6],"presented":[7],"for":[8],"fast":[9],"image":[10,36],"encoding.":[11],"In":[12,60],"this":[13],"algorithm,":[14,97],"a":[15,41],"sorted":[16,48],"codebook":[17,49],"is":[18,38,44,90,107],"generated":[19],"regarding":[20],"the":[21,28,34,47,52,56,73,87,94,99,104,113],"mean":[22,53],"values":[23],"of":[24,33,55,75,103],"all":[25],"codewords.":[26],"During":[27],"encoding":[29,100],"stage,":[30],"high":[31],"adjacent":[35],"blocks":[37],"utilized,":[39],"and":[40,68,78,98],"searching":[42],"range":[43],"obtained":[45],"in":[46],"according":[50],"to":[51,62,112],"value":[54],"current":[57],"processing":[58],"vector.":[59],"order":[61],"gain":[63],"good":[64],"performance,":[65],"proper":[66],"THd":[67],"NS":[69],"are":[70],"predefined":[71],"on":[72],"basis":[74],"experimental":[76],"experiences":[77],"additional":[79],"distortion":[80],"limitation.":[81],"The":[82],"expermental":[83],"results":[84],"show":[85],"that":[86],"MMCVQ":[88],"algorithm":[89,106],"much":[91],"faster":[92],"than":[93],"full-search":[95,114],"VQ":[96],"quality":[101],"degradation":[102],"proposed":[105],"only":[108],"0.3\uff5e0.4":[109],"dB":[110],"compared":[111],"VQ.":[115]},"counts_by_year":[],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2016-06-24T00:00:00"}