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Efficient Frame Error Concealment Using Bilateral Motion Estimation For Low Bit-rate Video Transmission

机译:针对低比特率视频传输使用双边运动估计的有效帧错误掩盖

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摘要

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. Thus, the loss of a single packet can lead to the loss of a whole video frame. In this paper, we propose a novel error concealment algorithm that can effectively reconstruct the lost frame and protect the quality of video streams from the degradation caused by propagation errors. The proposed algorithm employs a bilateral motion estimation scheme where the weighted sum of the received motion vectors (MVs) in the neighboring frames is utilized to construct the MV field for the concealed frame. Unlike the conventional algorithms, the proposed scheme does not produce any overlapped pixel and hole region in the reconstructed frame. The proposed algorithm can be applied not only to the case of single frame loss but also adaptively extended to the case of multiframe loss. Experimental results show that the proposed algorithm outperforms other conventional techniques in terms of both peak signal-to-noise ratio (PSNR) performance and subjective visual quality.
机译:在低比特率视频传输中,由于在时域和空域中都具有较高的压缩率,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,单个分组的丢失会导致整个视频帧的丢失。在本文中,我们提出了一种新颖的错误隐藏算法,该算法可以有效地重建丢失的帧,并保护视频流的质量免受传播错误导致的质量下降。所提出的算法采用双边运动估计方案,其中在相邻帧中接收的运动矢量(MV)的加权和被用来构造隐藏帧的MV字段。与常规算法不同,所提出的方案在重构帧中不会产生任何重叠的像素和孔区域。所提出的算法不仅可以应用于单帧丢失的情况,而且可以自适应地扩展到多帧丢失的情况。实验结果表明,该算法在峰值信噪比(PSNR)性能和主观视觉质量方面均优于其他常规技术。

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