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Frame Error Concealment Using Pixel Correlation in Overlapped Motion Compensation Regions

机译:在重叠运动补偿区域中使用像素相关性掩盖帧错误

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In low bit-rate video transmission, the payload of a single packet can often contain a whole coded frame due to the high compression ratio in both spatial and temporal domains of most modern video coders. Thus, the loss of a single packet not only causes the loss of a whole frame, but also produces error propagation into subsequent frames. In this paper, we propose a novel whole frame error concealment algorithm which reconstructs the first of the subsequent frames instead of the current lost frame to suppress the effects of error propagation. In the proposed algorithm, we impose a constraint which uses side match distortion (SMD) and overlapped region difference (ORD) to estimate motion vectors between the target reconstructed frame and its reference frame. SMD measures the spatial smoothness connection between a block and its neighboring blocks. ORD is defined as the difference between the correlated pixels which are predicted from one reference pixel. Experimental results show that the proposed algorithm effectively suppresses error propagation and significantly outperforms other conventional techniques in terms of both peak signal-to-noise ratio performance and subjective visual quality.
机译:在低比特率视频传输中,由于大多数现代视频编码器的空间和时间域中的压缩率都很高,因此单个数据包的有效载荷通常可以包含整个编码帧。因此,单个分组的丢失不仅导致整个帧的丢失,而且还导致错误传播到后续帧中。在本文中,我们提出了一种新颖的全帧错误隐藏算法,该算法可重建后续帧中的第一个而不是当前丢失的帧,以抑制错误传播的影响。在提出的算法中,我们施加了一个约束,该约束使用侧面匹配失真(SMD)和重叠区域差异(ORD)来估计目标重构帧与其参考帧之间的运动矢量。 SMD测量块及其相邻块之间的空间平滑度连接。 ORD被定义为根据一个参考像素预测的相关像素之间的差异。实验结果表明,该算法在峰值信噪比性能和主观视觉质量上均能有效地抑制误差传播,并明显优于其他传统技术。

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