Cyclic Redundancy Code (CRC) Polynomial Selection For Embedded Networks
DSN '04 Proceedings of the 2004 International Conference on Dependable Systems and Networks
Rate-adaptive codes for distributed source coding
Signal Processing - Special section: Distributed source coding
Improved virtual channel noise model for transform domain Wyner-Ziv video coding
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
The rate-distortion function for source coding with side information at the decoder
IEEE Transactions on Information Theory
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Correlation Noise Modeling for Efficient Pixel and Transform Domain Wyner–Ziv Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Transform-Domain Adaptive Correlation Estimation (TRACE) for Wyner–Ziv Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
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Distributed Video Coding (DVC) is a new video coding paradigm, which mainly exploits the source statistics at the decoder based on the availability of decoder side information. One approach to DVC is feedback channel based Transform Domain Wyner-Ziv (TDWZ) video coding. The efficiency of current TDWZ video coding trails that of conventional video coding solutions, mainly due to the quality of side information, inaccurate noise modeling and loss in the final coding step. The major goal of this paper is to enhance the accuracy of the noise modeling, which is one of the most important aspects influencing the coding performance of DVC. A TDWZ video decoder with a novel cross-band based adaptive noise model is proposed, and a noise residue refinement scheme is introduced to successively update the estimated noise residue for noise modeling after each bit-plane. Experimental results show that the proposed noise model and noise residue refinement scheme can improve the rate-distortion (RD) performance of TDWZ video coding significantly. The quality of the side information modeling is also evaluated by a measure of the ideal code length.