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Fast implementation of Wyner-Ziv Video codec using GPGPU

Ryanggeun Oh, Jongbin Park, Byeungwoo Jeon
Dept. of Mobile Syst. Eng., Sungkyunkwan University, Suwon, South Korea
IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 2010

@conference{oh2010fast,

   title={Fast implementation of Wyner-Ziv Video codec using GPGPU},

   author={Oh, R. and Park, J. and Jeon, B.},

   booktitle={Broadband Multimedia Systems and Broadcasting (BMSB), 2010 IEEE International Symposium on},

   pages={1–5},

   year={2010},

   organization={IEEE}

}

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In this paper, we report a fast implementation of Wyner-Ziv video decoder using general-purpose computing on graphics processing units (GPGPU). Despite of its many advantages, Wyner-Ziv video coding has a problem of huge decoding complexity. Since Slepian-Wolf decoding with rate adaptive LDPC accumulate code takes up more than 90% of entire Wyner-Ziv video decoding complexity, in this paper, we focus on fast implementation of the Slepian-Wolf decoder using the CUDA (Compute Unified Device Architecture) which is a GPGPU architecture developed by NVIDIA. Our implementation is shown to be 4~5 times (QCIF size) or 15~20 times (CIF size) faster compared to conventional Slepian-Wolf decoding.
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