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.

Volume

2

fYear

2006

fDate

Aug. 30 2006-Sept. 1 2006

Firstpage

245

Lastpage

249

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on

Conference_Location

Beijing

Print_ISBN

0-7695-2616-0

Type

conf

DOI

10.1109/ICICIC.2006.270

Filename

1691973