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ICMCS
2006
IEEE

An Optimal Non-Uniform Scalar Quantizer for Distributed Video Coding

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An Optimal Non-Uniform Scalar Quantizer for Distributed Video Coding
In this paper, we propose a novel algorithm to design an optimal non-uniform scalar quantizer for distributed video coding, which aims at achieving a coding rate close to joint conditional entropy of the quantized video frames given the side information. Wyner-Ziv theory on source coding is employed as the basic coding principle and the asymmetric scenario is considered. In this algorithm, a probability distribution model, which considers the influence of the joint distribution of input source and side information to the coding performance, is established and used as the optimality condition firstly. Then, a modified Lloyd Max algorithm is used to design the scalar quantizer to give an optimal quantization for input source before coding. Experimental results show that compared to uniform scalar quantization, proposed algorithm can improve coding performance largely, especially at low bit rate.
Bo Wu, Xun Guo, Debin Zhao, Wen Gao, Feng Wu
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICMCS
Authors Bo Wu, Xun Guo, Debin Zhao, Wen Gao, Feng Wu
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