Paper Info
Title
Real-time decoding for LDPC based distributed video coding
Abstract
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.
Year
DOI
Venue
2011
10.1145/2072298.2071989
ACM Multimedia 2001
Keywords
Field
DocType
high-complexity decoding characteristic,real-time decoding,coding efficiency,compute unified device architecture,high time delay,video coding,critical timing constraint,general-purpose graphics processing unit,wz codecs,high quality,low density parity check,parallel computer,real time,gpgpu,parallel computing
Computer science,CUDA,Low-density parity-check code,Real-time computing,Artificial intelligence,Computer engineering,Codec,Computer vision,Algorithmic efficiency,Coding tree unit,General-purpose computing on graphics processing units,Decoding methods,Graphics processing unit
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
3
Name
Order
Citations
PageRank
Tse-Chung Su140.74
Yun-Chung Shen2346.30
Ja-ling Wu31569168.11