Title
Parallel Processing Of Distributed Video Coding To Reduce Decoding Time
Abstract
This paper proposes a parallelized DVC framework that treats each bitplane independently to reduce the decoding time. Unfortunately, simple parallelization generates inaccurate bit probabilities because additional side information is not available for the decoding of subsequent bitplanes, which degrades encoding efficiency. Our solution is an effective estimation method that can calculate the bit probability as accurately as possible by index assignment without recourse to side information. Moreover, we improve the coding performance of Rate-Adaptive LDPC (RALDPC), which is used in the parallelized DVC framework. This proposal selects a fitting sparse matrix for each bitplane according to the syndrome rate estimation results at the encoder side. Simulations show that our parallelization method reduces the decoding time by up to 35[%] and achieves a bit rate reduction of about 10[%].
Year
DOI
Venue
2009
10.1587/transfun.E92.A.2463
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
Keywords
Field
DocType
distributed video coding, LDPC codes, parallelization system, bitplane correlation, Gray code
Low-density parity-check code,Computer science,Parallel computing,Bit Rate Reduction,Gray code,Theoretical computer science,Coding (social sciences),Encoder,Decoding methods,Sparse matrix,Encoding (memory)
Journal
Volume
Issue
ISSN
E92A
10
0916-8508
Citations 
PageRank 
References 
2
0.40
9
Authors
4
Name
Order
Citations
PageRank
Yoshihide Tonomura15910.40
takayuki nakachi25216.65
Tatsuya Fujii3397.95
Hitoshi Kiya4616113.80