Share Email Print

Proceedings Paper

Apply network coding for H.264/SVC multicasting
Author(s): Hui Wang; C.-C. Jay Kuo
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In a packet erasure network environment, video streaming benefits from error control in two ways to achieve graceful degradation. The first approach is application-level (or the link-level) forward error-correction (FEC) to provide erasure protection. The second error control approach is error concealment at the decoder end to compensate lost packets. A large amount of research work has been done in the above two areas. More recently, network coding (NC) techniques have been proposed for efficient data multicast over networks. It was shown in our previous work that multicast video streaming benefits from NC for its throughput improvement. An algebraic model is given to analyze the performance in this work. By exploiting the linear combination of video packets along nodes in a network and the SVC video format, the system achieves path diversity automatically and enables efficient video delivery to heterogeneous receivers in packet erasure channels. The application of network coding can protect video packets against the erasure network environment. However, the rank defficiency problem of random linear network coding makes the error concealment inefficiently. It is shown by computer simulation that the proposed NC video multicast scheme enables heterogenous receiving according to their capacity constraints. But it needs special designing to improve the video transmission performance when applying network coding.

Paper Details

Date Published: 13 September 2008
PDF: 8 pages
Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 70730J (13 September 2008); doi: 10.1117/12.795665
Show Author Affiliations
Hui Wang, Univ. of Southern California, Los Angeles (United States)
C.-C. Jay Kuo, Univ. of Southern California, Los Angeles (United States)

Published in SPIE Proceedings Vol. 7073:
Applications of Digital Image Processing XXXI
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top