KEYWORDS: Video, Computer programming, Distortion, Data compression, Video compression, Video coding, Video processing, Receivers, Lithium, Standards development
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.
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.
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