2-D scalable multiple description coding for robust H.264/SVC video communications

Xiang, Wei and Zhu, Ce and Siew, Chee Kheong and Xu, Yuanyuan and Liu, Minglei (2011) 2-D scalable multiple description coding for robust H.264/SVC video communications. In: Streaming media architectures, techniques, and applications: recent advances. Information Science Reference (IGI Global), Hershey, PA. United States, pp. 39-57. ISBN 978-1-61692-831-5

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Abstract

In this chapter, we investigate two popular techniques for error-resilient H.264/SVC video transmission over packet erasure networks, i.e., layered video coding (LVC) and scalable multiple description coding (SMDC). We compare the respective advantages and disadvantages of these two coding techniques. A comprehensive literature review on latest advancement on SMDC is provided. Furthermore, we report new simulation results for the novel two-dimensional scalable multiple description coding (2-D SMDC) scheme proposed in our previous work (Xiang et al., 2009). The 2-D SMDC scheme allocates multiple description sub-bitstreams of a two-dimensionally scalable bitstream to two network paths with unequal loss rates. We formulate the two-dimensional 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 sub-layer of the scalable bitstream. 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.


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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: Chapter 3. Electronic version of book available via USQ Library catalog: http://site.ebrary.com.ezproxy.usq.edu.au/lib/unisouthernqld/docDetail.action?docID=10430934
Depositing User: Dr Wei Xiang
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 10 Feb 2011 02:45
Last Modified: 08 Apr 2014 04:56
Uncontrolled Keywords: H.264/SVC video transmission
Fields of Research (FOR2008): 10 Technology > 1005 Communications Technologies > 100507 Optical Networks and Systems
10 Technology > 1005 Communications Technologies > 100509 Video Communications
08 Information and Computing Sciences > 0804 Data Format > 080401 Coding and Information Theory
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: doi: 10.4018/978-1-61692-831-5.ch003
URI: http://eprints.usq.edu.au/id/eprint/18241

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