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GOP-based channel rate allocation using genetic algorithm for scalable video streaming over error-prone networks

机译:使用遗传算法的基于GOP的信道速率分配,用于易错网络上的可伸缩视频流

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In this paper, we address the problem of unequal error protection (UEP) for scalable video transmission over wireless packet-erasure channel. Unequal amounts of protection are allocated to the different frames (I- or P-frame) of a group-of-pictures (GOP), and in each frame, unequal amounts of protection are allocated to the progressive bit-stream of scalable video to provide a graceful degradation of video quality as packet loss rate varies. We use a genetic algorithm (GA) to quickly get the allocation pattern, which is hard to get with other conventional methods, like hill-climbing method. Theoretical analysis and experimental results both demonstrate the advantage of the proposed algorithm.
机译:在本文中,我们解决了通过无线数据包擦除信道进行可伸缩视频传输的不平等错误保护(UEP)问题。不平等的保护量被分配给一组图片(GOP)的不同帧(I或P帧),并且在每个帧中,不平等的保护量被分配给可伸缩视频的逐行比特流,随着丢包率的变化,视频质量会适度下降。我们使用遗传算法(GA)快速获取分配模式,这是其他常规方法(例如爬山方法)很难获得的。理论分析和实验结果均证明了该算法的优势。

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