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 Publishing (IGI Global), Hershey, PA. United States, pp. 39-57. ISBN 978-1-61692-831-5

Preview

PDF (Documentation) 18241_Zhu_DOC.pdf Download (664kB)

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.

Statistics for this ePrint Item

Item Type:	Book Chapter (Commonwealth Reporting Category B)
Refereed:	Yes
Item Status:	Live Archive
Additional Information:	Chapter 3. http://site.ebrary.com.ezproxy.usq.edu.au/lib/unisouthernqld/docDetail.action?docID=10430934
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:	30 Aug 2016 03:00
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
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

Actions (login required)

Archive Repository Staff Only