EURASIP Journal on Applied Signal Processing
Volume 2006 (2006), Article ID 60971, 18 pages
doi:10.1155/ASP/2006/60971
A Framework for Adaptive Scalable Video Coding Using Wyner-Ziv Techniques
Integrated Media Systems Center and Department of Electrical Engineering, USC Viterbi School of Engineering, University of Southern California, Los Angeles 90089-2564, CA, USA
Received 27 March 2005; Revised 31 August 2005; Accepted 12 September 2005
Copyright © 2006 Huisheng Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This paper proposes a practical video coding framework based on
distributed source coding principles, with the goal to achieve
efficient and low-complexity scalable coding. Starting from a
standard predictive coder as base layer (such as MPEG-4 baseline
video coder in our implementation), the proposed Wyner-Ziv
scalable (WZS) coder can achieve higher coding efficiency, by
selectively exploiting the high quality reconstruction of the
previous frame in the enhancement layer coding of the current
frame. This creates a multi-layer Wyner-Ziv prediction “link,”
connecting the same bitplane level between successive frames, thus
providing improved temporal prediction as compared to MPEG-4 FGS,
while keeping complexity reasonable at the encoder. Since the
temporal correlation varies in time and space, a block-based
adaptive mode selection algorithm is designed for each bitplane,
so that it is possible to switch between different coding modes.
Experimental results show improvements in coding efficiency of
3–4.5 dB over MPEG-4 FGS for video sequences with high
temporal correlation.