2-D scalable multiple description coding for robust H.264/SVC video communications
Edited book (chapter)
Chapter Title | 2-D scalable multiple description coding for robust H.264/SVC video communications |
---|---|
Book Chapter Category | Edited book (chapter) |
ERA Publisher ID | 2177 |
Book Title | Streaming media architectures, techniques, and applications: recent advances |
Authors | Xiang, Wei (Author), Zhu, Ce (Author), Siew, Chee Kheong (Author), Xu, Yuanyuan (Author) and Liu, Minglei (Author) |
Editors | Zhu, Ce, Li, Yuenan and Niu, Xiamu |
Page Range | 39-57 |
Number of Pages | 19 |
Year | 2011 |
Publisher | IGI Global |
Place of Publication | Hershey, PA. United States |
ISBN | 9781616928315 |
Digital Object Identifier (DOI) | https://doi.org/10.4018/978-1-61692-831-5.ch003 |
Web Address (URL) | http://www.igi-global.com/bookstore/titledetails.aspx?TitleId=41767&DetailsType=Preface |
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. |
Keywords | H.264/SVC video transmission |
ANZSRC Field of Research 2020 | 400605. Optical fibre communication systems and technologies |
400699. Communications engineering not elsewhere classified | |
461301. Coding, information theory and compression | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Department of Electrical, Electronic and Computer Engineering |
Nanyang Technological University, Singapore | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q0760/2-d-scalable-multiple-description-coding-for-robust-h-264-svc-video-communications
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