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A Rate and Distortion Analysis of Multiscale Binary Shape Coding Based on Statistical Learning

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2 Author(s)
Zhenzhong Chen ; Chinese Univ. of Hong Kong, Hong Kong ; King Ngi Ngan

In this paper, we propose a statistical learning-based approach to analyze the rate-distortion characteristics of MPEG-4 multiscale binary shape coding. We employ the polynomial kernel function and epsiv-insensitive loss function for our support vector regression. To improve the accuracy of the estimation, rate and distortion related features are incorporated in the statistical learning framework. Our experimental results show that the proposed approach can achieve good performance, e.g., modelling the rate-distortion curves accurately.

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Multimedia, IEEE Transactions on  (Volume:9 ,  Issue: 5 )