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. IGI Global, Hershey, PA. United States, pp. 39-57. ISBN 9781616928315

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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:	Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013)
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013)
Date Deposited:	10 Feb 2011 02:45
Last Modified:	10 Sep 2021 05:03
Uncontrolled Keywords:	H.264/SVC video transmission
Fields of Research (2008):	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
Fields of Research (2020):	40 ENGINEERING > 4006 Communications engineering > 400605 Optical fibre communication systems and technologies 40 ENGINEERING > 4006 Communications engineering > 400699 Communications engineering not elsewhere classified 46 INFORMATION AND COMPUTING SCIENCES > 4613 Theory of computation > 461301 Coding, information theory and compression
Socio-Economic Objectives (2008):	E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI:	https://doi.org/10.4018/978-1-61692-831-5.ch003
URI:	http://eprints.usq.edu.au/id/eprint/18241

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