Framework design on video coding system for error-prone heterogeneous network

Weiming Shen; Yanwen Chong; Jinshen Xiao; Deren Li

doi:10.1117/12.523263

18 January 2004 Framework design on video coding system for error-prone heterogeneous network

Weiming Shen, Yanwen Chong, Jinshen Xiao, Deren Li

Proceedings Volume 5308, Visual Communications and Image Processing 2004; (2004) https://doi.org/10.1117/12.523263
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

This paper describes the complete procedure of framework design on a video coding system for error-prone heterogeneous network environment. First of all, system requirements are analyzed and the targets of system design are emphasized on three categories: 1. improve video performance under the constraints of network bandwidth and computational complexity; 2. provide error robust mechanism when packet loss occur; 3. add capability of layered video coding for heterogenous network transmission. Then, ITU-T H.263+ recommendation is introduced, especially about its 16 optional enhanced coding modes: feature, effect and benefit. System design on mode selection is somewhat a trade-off, one hand is improvement on subjective quality of video or other system targets, the other hand is influence on time delay and complexity (computational load, data dependency, ease of implementation, etc.). Five enhanced coding modes are preferred in strong reason for our purpose: Advanced INTRA Coding mode, Deblocking Filter mode, Modified Quantization mode, Slice Structured mode and Temporal, SNR and Spatial Scalability mode. At last, some useful and important system elements beyond H.263+ recommendation are discussed: RTP packetization, error concealment and error tracking. Application shows that all the targets are easily reached by the implementation based on this design.

Citation Download Citation

Weiming Shen, Yanwen Chong, Jinshen Xiao, and Deren Li "Framework design on video coding system for error-prone heterogeneous network", Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); https://doi.org/10.1117/12.523263

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