Rate-adaptive codes for distributed source coding
Signal Processing - Special section: Distributed source coding
Fast decoding for LDPC based distributed video coding
Proceedings of the international conference on Multimedia
High efficient distributed video coding with parallelized design for cloud computing
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Factor graphs and the sum-product algorithm
IEEE Transactions on Information Theory
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Wyner-Ziv (WZ) video coding -- a particular case of distributed video coding (DVC), is well known for its low-complexity encoding and high-complexity decoding characteristics. Although some works have been made in recent years, especially for improving the coding efficiency, most reported WZ codecs have high time delay in the decoder, which hinders its practical values for applications with critical timing constraint. In this paper, a fully parallelized sum-product algorithm (SPA) for low density parity check accumulate (LDPCA) codes is proposed and realized through Compute Unified Device Architecture (CUDA) based on General-Purpose Graphics Processing Unit (GPGPU). Simulation results show that, through our work, QCIF (surveillance) videos can be decoded in real-time with extremely high quality and without rate-distortion (RD) performance loss.