Enabling error-resilient internet broadcasting using motion compensated spatial partitioning and packet FEC for the Dirac Video Codec

Article


Tun, M., Loo, J. and Cosmas, J. 2008. Enabling error-resilient internet broadcasting using motion compensated spatial partitioning and packet FEC for the Dirac Video Codec. Journal of Multimedia. 3 (2), pp. 1-11. https://doi.org/10.4304/jmm.3.2.1-11
TypeArticle
TitleEnabling error-resilient internet broadcasting using motion compensated spatial partitioning and packet FEC for the Dirac Video Codec
AuthorsTun, M., Loo, J. and Cosmas, J.
Abstract

Video transmission over the wireless or wired network require protection from channel errors since compressed video bitstreams are very sensitive to transmission errors because of the use of predictive coding and variable length coding. In this paper, a simple, low complexity and patent free error-resilient coding is proposed. It is based upon the idea of using spatial partitioning on the motion compensated residual frame without employing the transform coefficient coding. The proposed scheme is intended for open source Dirac video codec in order to enable the codec to be used for Internet broadcasting. By partitioning the wavelet transform coefficients of the motion compensated residual frame into groups and independently processing each group using arithmetic coding and Forward Error Correction (FEC), robustness to transmission errors over the packet erasure wired network could be achieved. Using the Rate Compatibles Punctured Code (RCPC) and Turbo Code (TC) as the FEC, the proposed technique provides gracefully decreasing perceptual quality over packet loss rates up to 30%. The PSNR performance is much better when compared with the conventional data partitioning only methods. Simulation results show that the use of multiple partitioning of wavelet coefficient in Dirac can achieve up to 8 dB PSNR gain over its existing un-partitioned method.

Research GroupSensoLab group
PublisherAcademy Publisher
JournalJournal of Multimedia
ISSN1796-2048
Publication dates
Print01 Jun 2008
Publication process dates
Deposited03 May 2011
Output statusPublished
Publisher's version
Copyright Statement

With thanks to Academy for permitting the archival of the published version.

Digital Object Identifier (DOI)https://doi.org/10.4304/jmm.3.2.1-11
LanguageEnglish
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