Rate-adaptive codes for distributed source coding
Signal Processing - Special section: Distributed source coding
Massive parallel LDPC decoding on GPU
Proceedings of the 13th ACM SIGPLAN Symposium on Principles and practice of parallel programming
Distributed video coding: trends and perspectives
Journal on Image and Video Processing - Special issue on distributed video coding
The rate-distortion function for source coding with side information at the decoder
IEEE Transactions on Information Theory
Correlation Noise Modeling for Efficient Pixel and Transform Domain Wyner–Ziv Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Perceptual-based distributed video coding
Journal of Visual Communication and Image Representation
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Distributed video coding (DVC) is a new coding paradigm targeting on applications with the need of low-complexity and/or low-power encoding at the cost of a high-complexity decoding. In the DVC architectures based on Error Control Codes (ECCs) with a feedback channel, the high decoding complexity comes from the decode-check-request iterations between the ECC encoder and the ECC decoder. In this paper, a parallel message-passing decoding algorithm for computing low density parity check (LDPC) syndromes is applied through the Compute Unified Device Architecture (CUDA) based on General Purpose Graphics Processing Unit (GPGPU). Furthermore, we proposed a novel rate control mechanism, dubbed as the Ladder Step Size Request (LSSR), to reduce the number of requests which leads to much speedup gain. Experimental results show that, through our work, the overall DVC decoding speedup gain can reach 46.52 with only 0.2dB rate distortion performance loss.