Fast implementation of Wyner-Ziv Video codec using GPGPU
作者： Ryanggeun Oh , Jongbin Park , Byeungwoo Jeon
DOI: 10.1109/ISBMSB.2010.5463150
关键词: Parallel computing 、 Graphics processing unit 、 Low-density parity-check code 、 Transform coding 、 Computer science 、 Codec 、 Decoding methods 、 Video decoder 、 CUDA 、 General-purpose computing on graphics processing units
摘要: In this paper, we report a fast implementation of Wyner-Ziv video decoder using general-purpose computing on graphics processing units (GPGPU). Despite its many advantages, coding has problem huge decoding complexity. Since Slepian-Wolf with rate adaptive LDPC accumulate code takes up more than 90% entire complexity, in focus the CUDA (Compute Unified Device Architecture) which is GPGPU architecture developed by NVIDIA. Our shown to be 4∼5 times (QCIF size) or 15∼20 (CIF faster compared conventional decoding.
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