Fast implementation of Wyner-Ziv Video codec using GPGPU
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}
}
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.
March 7, 2011 by hgpu
