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First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06)
Efficient Wavelet Zero-Tree Video Coding Based on Wyner-Ziv Coding and Lattice Vector Quantization
Beijing, China
August 30-September 01
ISBN: 0-7695-2616-0
ASCII Text
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Anhong Wang, Yao Zhao, Jing Li, "Efficient Wavelet Zero-Tree Video Coding Based on Wyner-Ziv Coding and Lattice Vector Quantization," Innovative Computing ,Information and Control, International Conference on, vol. 2, pp. 245-249, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICICIC.2006.270,
author = {Anhong Wang and Yao Zhao and Jing Li},
title = {Efficient Wavelet Zero-Tree Video Coding Based on Wyner-Ziv Coding and Lattice Vector Quantization},
journal ={Innovative Computing ,Information and Control, International Conference on},
volume = {2},
year = {2006},
isbn = {0-7695-2616-0},
pages = {245-249},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.270},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Innovative Computing ,Information and Control, International Conference on
TI - Efficient Wavelet Zero-Tree Video Coding Based on Wyner-Ziv Coding and Lattice Vector Quantization
SN - 0-7695-2616-0
SP245
EP249
A1 - Anhong Wang,
A1 - Yao Zhao,
A1 - Jing Li,
PY - 2006
KW - null
VL - 2
JA - Innovative Computing ,Information and Control, International Conference on
ER -
 
Anhong Wang, Beijing Jiaotong University, China
Yao Zhao, Beijing Jiaotong University, China
Jing Li, Beijing Jiaotong University, China
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 intraframe SPIHT and scalar Slepian-Wolf SPIHT.
Citation:
Anhong Wang, Yao Zhao, Jing Li, "Efficient Wavelet Zero-Tree Video Coding Based on Wyner-Ziv Coding and Lattice Vector Quantization," icicic, vol. 2, pp.245-249, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006
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