Joint Source-Channel Rate-Distortion Optimization for H.264 Video Coding Over Error-Prone Networks

For a typical video distribution system, the video contents are first compressed and then stored in the local storage or transmitted to the end users through networks. While the compressed videos are transmitted through error-prone networks, error robustness becomes an important issue. In the past y...

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Bibliographic Details
Published in:IEEE transactions on multimedia Vol. 9; no. 3; pp. 445 - 454
Main Authors: Yuan Zhang, Yuan Zhang, Wen Gao, Wen Gao, Yan Lu, Yan Lu, Qingming Huang, Qingming Huang, Debin Zhao, Debin Zhao
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.04.2007
Institute of Electrical and Electronic Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Applied sciences
Approximation error
Artificial intelligence
Coding
Compressed
Computational modeling
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Decoding
Distortion
Error resilience
Estimates
Exact sciences and technology
H.264/MPEG-4 AVC
Lagrange multiplier
Mathematical models
Networks
Optimization
Optimization methods
Pattern recognition. Digital image processing. Computational geometry
Pixels
rate distortion optimization
Rate-distortion
Recursive estimation
Robustness
Software
Testing
Video coding
Video compression
Video coding
Multimedia
Averaging method
Coding errors
Optimization method
Video signal
Rate distortion theory
rate distortion optimization
H.264/MPEG-4 AVC
Image compression
Decoding
Computational complexity
Modeling
Optimization
Image coding
Lagrange multiplier
Optimal code
Approximation error
Robustness
Transmission loss
Error resilience
Content analysis
ISSN:1520-9210, 1941-0077
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Summary:For a typical video distribution system, the video contents are first compressed and then stored in the local storage or transmitted to the end users through networks. While the compressed videos are transmitted through error-prone networks, error robustness becomes an important issue. In the past years, a number of rate-distortion (R-D) optimized coding mode selection schemes have been proposed for error-resilient video coding, including a recursive optimal per-pixel estimate (ROPE) method. However, the ROPE-related approaches assume integer-pixel motion-compensated prediction rather than subpixel prediction, whose extension to H.264 is not straightforward. Alternatively, an error-robust R-D optimization (ER-RDO) method has been included in H.264 test model, in which the estimate of pixel distortion is derived by simulating decoding process multiple times in the encoder. Obviously, the computing complexity is very high. To address this problem, we propose a new end-to-end distortion model for R-D optimized coding mode selection, in which the overall distortion is taken as the sum of several separable distortion items. Thus, it can suppress the approximation errors caused by pixel averaging operations such as subpixel prediction. Based on the proposed end-to-end distortion model, a new Lagrange multiplier is derived for R-D optimized coding mode selection in packet-loss environment by taking into account of the network conditions. The rate control and complexity issues are also discussed in this paper
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ISSN:1520-9210
1941-0077
DOI:10.1109/TMM.2006.887989