Title :
Distributed video coding using wavelet
Author :
Guo, Xun ; Lu, Yan ; Wu, Feng ; Gao, Wen
Author_Institution :
Sch. of Comput. Sci., Harbin Inst. of Technol.
Abstract :
This paper proposes a distributed video coding scheme based on the zero tree entropy (ZTE) coding. Wyner-Ziv theory on source coding with side information is taken as the basic coding principle, which makes independent encoding and joint decoding possible. In this scheme, wavelet transform is used to exploit the spatial correlation of a Wyner-Ziv frame. The quantized wavelet coefficients are reorganized in terms of the zero tree structure so as to identify the significant and insignificant coefficients. The significance map is intra-codec and transmitted. In particular, the significant coefficients are independently encoded with turbo coder, and only the parity bits are transmitted. At the decoder, a predictive frame generated through motion-compensated prediction is used as the side information, with which the Wyner-Ziv frame can be conditionally decoded. Experimental results show that, compared to the traditional intra-frame coding and pixel-domain Wnyer-Ziv video coding, the proposed scheme can achieve a better coding performance, especially at low bit rates
Keywords :
entropy codes; tree data structures; turbo codes; video coding; wavelet transforms; Wyner-Ziv theory; ZTE coding; distributed video coding; intra-codec; turbo coder; wavelet transform; zero tree entropy coding; zero tree structure; Bit rate; Decoding; Encoding; Entropy; Source coding; Tree data structures; Turbo codes; Video coding; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
DOI :
10.1109/ISCAS.2006.1693861