DocumentCode
3430890
Title
Adaptive vector quantization using generalized threshold replenishment
Author
Fowler, James E. ; Ahalt, Stanley C.
Author_Institution
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
fYear
1997
fDate
25-27 Mar 1997
Firstpage
317
Lastpage
326
Abstract
In this paper, we describe a new adaptive vector quantization (AVQ) algorithm designed for the coding of nonstationary sources. This new algorithm, generalized threshold replenishment (GTR), differs from prior AVQ algorithms in that it features an explicit, online consideration of both rate and distortion. Rate-distortion cost criteria are used in both the determination of nearest-neighbor codewords and the decision to update the codebook. Results presented indicate that, for the coding of an image sequence, (1) most AVQ algorithms achieve distortion much lower than that of nonadaptive VQ for the same rate (about 1.5 bits/pixel), and (2) the GTR algorithm achieves rate-distortion performance substantially superior to that of the prior AVQ algorithms for low-rate coding, being the only algorithm to achieve a rate below 1.0 bits/pixel
Keywords
adaptive codes; image coding; image sequences; rate distortion theory; source coding; vector quantisation; AVQ algorithm; adaptive vector quantization; codebook; generalized threshold replenishment; image sequence coding; low-rate coding; nearest-neighbor codewords; nonstationary sources; rate-distortion cost criteria; Algorithm design and analysis; Costs; Image coding; Image sequences; Iterative algorithms; Pixel; Rate distortion theory; Rate-distortion; Statistics; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 1997. DCC '97. Proceedings
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
0-8186-7761-9
Type
conf
DOI
10.1109/DCC.1997.582055
Filename
582055
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