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Efficient Wavelet Zero-Tree Video Coding Based on Wyner-Ziv Coding and Lattice Vector Quantization

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3 Author(s)
Anhong Wang ; Beijing Jiaotong University, China ; Yao Zhao ; Jing Li

In this paper, we present a new wavelet zero-tree video coding method based on lattice vector quantization (LVQ) and Wyner-Ziv coding. It uses dependences only at decoder and develops a new intra-encoding and inter-decoding framework. In this framework, the conventional entropy coding is replaced by a low-density parity-check (LDPC) Slepian-Wolf codec and the idea of Slepian-Wolf coding is used to set partitioning in hierarchical trees (SPIHT) and lattice vector quantization completely. Experiment results suggest that our scheme can get higher PSNR and better recovered video than intra-frame SPIHT and scalar Slepian-Wolf SPIHT

Published in:

First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06)  (Volume:2 )

Date of Conference:

Aug. 30 2006-Sept. 1 2006