Title :
Efficient Wavelet Zero-Tree Video Coding Based on Wyner-Ziv Coding and Lattice Vector Quantization
Author :
Wang, Anhong ; Zhao, Yao ; Li, Jing
Author_Institution :
Inst. of Inf. Sci., Beijing Jiaotong Univ.
fDate :
Aug. 30 2006-Sept. 1 2006
Abstract :
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
Keywords :
decoding; entropy codes; parity check codes; tree codes; trees (mathematics); vector quantisation; video coding; wavelet transforms; Slepian-Wolf coding; Wyner-Ziv coding; entropy coding; hierarchical tree; inter-decoding framework; intra-encoding framework; lattice vector quantization; low-density parity-check; set partitioning; wavelet zero-tree video coding; Codecs; Decoding; Encoding; Entropy coding; Lattices; PSNR; Parity check codes; Vector quantization; Video coding; Wavelet coefficients;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.270