Paper
5 December 2005 ARMDC with multipath transmission
Juan Zhao, Guang-xi Zhu
Author Affiliations +
Proceedings Volume 6022, Network Architectures, Management, and Applications III; 60223X (2005) https://doi.org/10.1117/12.636709
Event: Asia-Pacific Optical Communications, 2005, Shanghai, China
Abstract
This paper tackles the problem of robust video streaming over error-prone channels. A new MDC scheme-auto-resilient multiple-description coding (ARMDC) with optimized transmission strategy is proposed. ARMDC combines the individual benefits of MDC and LC, making little change to current standard encoders/decoders. More important, it can automatically perform error resilience at receiving end even if feedbacks are not received. Sample intervals of sub-bitstreams and coding of difference between common frames are considered carefully to acquire best ARMDC coding effect and to exactly rebuild corrupt frames without drift. A self-adapt coding and transmission system is then constructed, in which ARMDC is combined with multi-path transmission to efficiently confront the bad channel condition. Both bit-rate (R) and distortion (D) are calculated to minimize the value of Lagrangian formulation when the two technologies are applied respectively. A unitary-optimized operation of the whole system is then proposed after the R-D calculation. Basing on the operation, our system gain fine self-adaptation to the error-prone mobile channel. Experiment results show that the performance of our ARMDC with optimized multi-path selection system has better performance over other self-adapt systems.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Juan Zhao and Guang-xi Zhu "ARMDC with multipath transmission", Proc. SPIE 6022, Network Architectures, Management, and Applications III, 60223X (5 December 2005); https://doi.org/10.1117/12.636709
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KEYWORDS
Video

Data compression

Distortion

Error analysis

Computer programming

Forward error correction

Video processing

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