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Adaptive joint source and channel optimization using packet loss visibility model

机译:使用丢包可见性模型的自适应联合源和信道优化

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In this paper, we proposed an adaptive weighting for joint source and channel rate-distortion optimization. The weighting is adjusted based on some measurements of MSE in previous encoded MB. The resulting videos for source loss and channel loss perform better than our prior work; the proposed method has higher winning rate over H.264 standard with the rate being 93.66%. Another novelty is that the proposed method does not require prior knowledge about the performance of different weightings, and the optimal weighting can be found adaptively.
机译:在本文中,我们提出了一种自适应权重,用于联合源和信道速率失真优化。基于先前编码的MB中MSE的一些测量值来调整权重。由此产生的源丢失和频道丢失视频的效果要比我们之前的工作更好;与H.264标准相比,该方法获胜率更高,达93.66%。另一个新颖之处在于,所提出的方法不需要关于不同加权的性能的先验知识,并且可以自适应地找到最佳加权。

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