Rate-distortion analysis for MPEG-4 binary shape coding

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