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Soft-Decision Based Quantization of the Multimedia Signal Considering the Outliers in Rate-Allocation and Distortion  

Lim, Jong-Wook (세종대학교 정보통신공학과)
Noh, Myung-Hoon (세종대학교 정보통신공학과)
Kim, Moo-Young (세종대학교 정보통신공학과)
Abstract
There are two major conventional quantization algorithms: resolution-constrained quantization (RCQ) and entropy-constrained quantization (ECQ). Although RCQ works well for fixed transmission-rate, it produces the distortion outliers since the cell sizes are different. Compared with RCQ, ECQ has the constraints on the cell size but it produces the rate outliers. We propose the cell-size constrained vector quantization (CCVQ) that improves the generalized Lloyd algorithm (GLA). The CCVQ algorithm is able to make a soft-decision between RCQ and ECQ by using the flexible penalty measure according to the cell size. Although the proposed method increases the small amount of overall mean-distortion, it can reduce the distortion outliers.
Keywords
High-Rate Theory; Source Coding; Quantization; GLA; Distortion Outliers;
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