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Proceedings Paper

Robust video transmission using adaptive bit allocation
Author(s): Wei-Ying Kung; Chang-Su Kim; Robert Ku; C.-C. Jay Kuo
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Paper Abstract

A jointly designed source-channel coding technique that protects video signals against transmission errors is proposed in this work. We develop a low-complexity source model which can estimate the bitrate and the quantization error for each packet. Also, the channel distortion is estimated based on the packet importance and the packet loss rate. The packet importance is measured as the mean square error between the error-free reconstruction and the concealed reconstruction, and the packet loss rate is determined by channel conditions. According to the informed channel condition, the encoder adaptively assigns the quantization parameter and the channel code rate to each packet so that the expected mean square error due to source and channel distortions is minimized subject to a constraint on the overall bitrate. Simulation results show that the proposed adaptive system provides acceptable image quality even in a high bit error rate environment.

Paper Details

Date Published: 4 January 2002
PDF: 12 pages
Proc. SPIE 4671, Visual Communications and Image Processing 2002, (4 January 2002); doi: 10.1117/12.453070
Show Author Affiliations
Wei-Ying Kung, Univ. of Southern California (United States)
Chang-Su Kim, Univ. of Southern California (South Korea)
Robert Ku, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 4671:
Visual Communications and Image Processing 2002
C.-C. Jay Kuo, Editor(s)

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