Two-Dimensional Iterative Source-Channel Decoding for Distributed Video Coding

Motivated by the Joint Source-Channel Decoding (JSCD) principle of exploiting the source redundancy, in this treatise we study the application of iterative source-channel decoding (ISCD) conceived for distributed video coding (DVC), where the video signal is modelled by our Iterative Horizontal-Vert...

Full description

Bibliographic Details
Main Authors: Huo, Yongkai (Author), Wang, Tao (Author), Maunder, Robert G. (Author), Hanzo, Lajos (Author)
Format: Article
Language:English
Published: 2014-01.
Subjects:
Online Access:Get fulltext
LEADER 01276 am a22001573u 4500
001 359895
042 |a dc 
100 1 0 |a Huo, Yongkai  |e author 
700 1 0 |a Wang, Tao  |e author 
700 1 0 |a Maunder, Robert G.  |e author 
700 1 0 |a Hanzo, Lajos  |e author 
245 0 0 |a Two-Dimensional Iterative Source-Channel Decoding for Distributed Video Coding 
260 |c 2014-01. 
856 |z Get fulltext  |u https://eprints.soton.ac.uk/359895/1/CL2013-2180.pdf 
520 |a Motivated by the Joint Source-Channel Decoding (JSCD) principle of exploiting the source redundancy, in this treatise we study the application of iterative source-channel decoding (ISCD) conceived for distributed video coding (DVC), where the video signal is modelled by our Iterative Horizontal-Vertical Scanline Model (IHVSM) relying on a first-order Markov process. The IHVSM technique is combined with the classic forward error correction (FEC) codecs employed in the state-of-the-art DVC systems for the sake of reducing the bit rate. Our simulation results show that up to 21.5% bit rate reductions are achieved by employing the proposed ISCD technique in a DVC scheme. Alternatively, a peak signal-to-noise ratio (PSNR) gain of 2.2 dB is achieved at a bitrate of 4.5 Mbps when considering the Foreman sequence. 
655 7 |a Article