Adaptive dynamic programming for auto-resilient video streaming

Juan Zhao; Xingmei Li

doi:10.1117/12.751394

14 November 2007 Adaptive dynamic programming for auto-resilient video streaming

Juan Zhao, Xingmei Li

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67905E (2007) https://doi.org/10.1117/12.751394
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Wireless video transmission encounters higher error rate than in wired network, which introduces distortion into the error-sensitive compressed data, reducing the quality of the playback video. Therefore, to ensure the end-to-end quality, wireless video needs a transmission system including both efficient source coding scheme and transmission technology against the influence of the channel error. This paper tackles a dynamic programming algorithm for robust video streaming over error-prone channels. An auto-resilient multiple-description coding with optimized transmission strategy has been proposed. Further study is done on the computational complexity of rate-distortion optimized video streaming and a dynamic programming algorithm is considered. Experiment results show that video streaming with adaptive dynamic programming gains better playback video quality at the receiver when transmitted through error-prone mobile channel.

Citation Download Citation

Juan Zhao and Xingmei Li "Adaptive dynamic programming for auto-resilient video streaming", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67905E (14 November 2007); https://doi.org/10.1117/12.751394

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