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Robust error concealment for visual communications in burst-packet-loss networks

机译:突发数据包丢失网络中可视通信的鲁棒错误隐藏

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Compressed video sequences are very vulnerable to channel disturbances when they are transmitted through the burst-packet-loss networks such as a wireless channel. An effective solution for packet loss is to perform concealment at the receiver. Most of the spatial and/or temporal concealment methods estimate the true motion vector (MV) associated with a missing block by using the MV's of the adjacent blocks. However, these methods cannot conceal effectively the missing blocks, since the neighboring blocks can be easily lost by the burst packet losses destroying a large area of coded video. In this paper, we present a robust error concealment method of estimating the true MV of the missing block by using the bidirectional motion tracking technique within neighboring frames of a damaged frame. This motion tracking technique uses the linear trajectory feature of the image block in the forward and backward prediction directions. Experimental results sow that the proposed algorithm has superior subjective and objective video quality than conventional error concealment methods in the burst-packet-loss environments.
机译:当压缩视频序列通过突发分组丢失网络(例如无线信道)传输时,非常容易受到信道干扰。丢包的有效解决方案是在接收方进行隐藏。大多数空间和/或时间隐藏方法通过使用相邻块的MV来估计与丢失块相关的真实运动矢量(MV)。但是,这些方法不能有效地掩盖丢失的块,因为相邻的块很容易由于突发分组丢失而破坏,从而破坏了大范围的编码视频。在本文中,我们提出了一种健壮的错误隐藏方法,该方法通过在损坏帧的相邻帧内使用双向运动跟踪技术来估计丢失块的真实MV。这种运动跟踪技术使用图像块在向前和向后预测方向上的线性轨迹特征。实验结果表明,所提出的算法在突发数据包丢失的环境中比传统的错误隐藏方法具有更好的主观和客观视频质量。

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