Improved techniques for single-pass adaptive vector quantization
Constantinescu and Storer presented a new single-pass adaptive vector quantization algorithm that learns a codebook of variable size and shape entries; they presented experiments on a set of test images showing that with no training or prior knowledge of the data, for a given fidelity, the compressi...
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Veröffentlicht in: | Proceedings of the IEEE 1994-06, Vol.82 (6), p.933-939 |
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creator | Constantinescu, C. Storer, J.A. |
description | Constantinescu and Storer presented a new single-pass adaptive vector quantization algorithm that learns a codebook of variable size and shape entries; they presented experiments on a set of test images showing that with no training or prior knowledge of the data, for a given fidelity, the compression achieved typically equals or exceeds that of the JPEG standard. This paper presents improvements in speed (by employing K-D trees), simplicity of codebook entries, and visual quality with no loss in either the amount of compression or the SNR as compared to the original full-search version.< > |
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This paper presents improvements in speed (by employing K-D trees), simplicity of codebook entries, and visual quality with no loss in either the amount of compression or the SNR as compared to the original full-search version.< ></description><subject>Adaptive algorithm</subject><subject>Code standards</subject><subject>Computer science</subject><subject>Decoding</subject><subject>Dictionaries</subject><subject>Image coding</subject><subject>Shape</subject><subject>Testing</subject><subject>Transform coding</subject><subject>Vector quantization</subject><issn>0018-9219</issn><issn>1558-2256</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1994</creationdate><recordtype>article</recordtype><recordid>eNo9j89LwzAYhoMoWKfg2VOPXjK_pPnS5KYMfwwGXvRckvSrRra2a7qC_vVONjy9h-fhhYexawFzIcDe4VwaLWx5wjKBaLiUqE9ZBiAMt1LYc3aR0hcAFKiLjN0vN_3QTVTnI4XPNm53lPKmG_IU24818d6llLva9WOcKJ8ojHu23bl2jD9ujF17yc4at050ddwZe396fFu88NXr83LxsOJBKjVyTyBkAVjUtXIowYPWNTmPiCBRlmCFstobb6gMAYRuSo9S6WDBqGDLYsZuD79h6FIaqKn6IW7c8F0JqP7KK6wO5Xv15qBGIvrXjvAXzT1TDw</recordid><startdate>19940601</startdate><enddate>19940601</enddate><creator>Constantinescu, C.</creator><creator>Storer, J.A.</creator><general>IEEE</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19940601</creationdate><title>Improved techniques for single-pass adaptive vector quantization</title><author>Constantinescu, C. ; Storer, J.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c244t-be0123053dd4a520b066deab55502527091496b8b8e7cc016f7b5246c9084c973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Adaptive algorithm</topic><topic>Code standards</topic><topic>Computer science</topic><topic>Decoding</topic><topic>Dictionaries</topic><topic>Image coding</topic><topic>Shape</topic><topic>Testing</topic><topic>Transform coding</topic><topic>Vector quantization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Constantinescu, C.</creatorcontrib><creatorcontrib>Storer, J.A.</creatorcontrib><collection>CrossRef</collection><jtitle>Proceedings of the IEEE</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Constantinescu, C.</au><au>Storer, J.A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improved techniques for single-pass adaptive vector quantization</atitle><jtitle>Proceedings of the IEEE</jtitle><stitle>JPROC</stitle><date>1994-06-01</date><risdate>1994</risdate><volume>82</volume><issue>6</issue><spage>933</spage><epage>939</epage><pages>933-939</pages><issn>0018-9219</issn><eissn>1558-2256</eissn><coden>IEEPAD</coden><abstract>Constantinescu and Storer presented a new single-pass adaptive vector quantization algorithm that learns a codebook of variable size and shape entries; they presented experiments on a set of test images showing that with no training or prior knowledge of the data, for a given fidelity, the compression achieved typically equals or exceeds that of the JPEG standard. This paper presents improvements in speed (by employing K-D trees), simplicity of codebook entries, and visual quality with no loss in either the amount of compression or the SNR as compared to the original full-search version.< ></abstract><pub>IEEE</pub><doi>10.1109/5.286197</doi><tpages>7</tpages></addata></record> |
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subjects | Adaptive algorithm Code standards Computer science Decoding Dictionaries Image coding Shape Testing Transform coding Vector quantization |
title | Improved techniques for single-pass adaptive vector quantization |
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