DocumentCode
856256
Title
Forward Error Correction-Based 2-D Layered Multiple Description Coding for Error-Resilient H.264 SVC Video Transmission
Author
Xiang, Wei ; Zhu, Ce ; Siew, Chee Kheong ; Xu, Yuanyuan ; Liu, Minglei
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Volume
19
Issue
12
fYear
2009
Firstpage
1730
Lastpage
1738
Abstract
In this paper, we propose a novel 2-D layered multiple description coding (2DL-MDC) for error-resilient video transmission over unreliable networks. The proposed 2DL-MDC scheme allocates multiple description sub-bitstreams of a 2-D scalable bitstream to two network paths with unequal loss rates. We formulate the 2-D scalable rate-distortion problem and derive the expected distortion for the proposed scheme. To minimize the end-to-end distortion given the total rate budget and packet loss probabilities, we need to optimally allocate source and channel rates for each hierarchical sublayer of the scalable bitstream. The conventional Lagrangian multiplier method can be utilized to solve this problem but with overwhelming computational complexity. Therefore, we consider the use of the genetic algorithm to solve the rate-distortion optimization problem. The simulation results verify that the proposed method is able to achieve significant performance gain as opposed to the conventional equal rate allocation method.
Keywords
forward error correction; genetic algorithms; rate distortion theory; video coding; 2D layered multiple description coding; 2D scalable rate-distortion problem; Lagrangian multiplier method; error-resilient H.264 SVC video transmission; forward error correction; genetic algorithm; rate-distortion optimization problem; unreliable networks; 2-D layered multiple description coding (2DL-MDC); genetic algorithm; rate-distortion optimization; scalable video coding;
fLanguage
English
Journal_Title
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher
ieee
ISSN
1051-8215
Type
jour
DOI
10.1109/TCSVT.2009.2022787
Filename
4914850
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