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Frame Based Redundant-Macro-Block Error Resilient in Scalable Video Coding

机译:可伸缩视频编码中基于帧的冗余宏块错误恢复

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In this paper, a redundant macro block coding with texture-based selective boundary matching algorithm (RMB-TSBMA) is introduced to improve the video quality. Different from texture-based selective boundary matching algorithm (TSBMA), the algorithm is more suitable for frame based recovery. The RMB coding encodes the information of some essential blocks. When a frame gets lost, we can first decode RMBs, and then neighboring MBs with TSBMA, so that the RMBs can provide the correct position for boundary matching to get better visual quality. The influences of the RMB number, and the reordering method are also discussed. Compared to the other algorithms, the proposed RMB-TSBMA performs better than conventional method of temporal direct mode (TDM) by over 3dB PSNR at the packet loss rate 10%.
机译:本文介绍了一种基于纹理的选择性边界匹配算法(RMB-TSBMA)的冗余宏块编码,以提高视频质量。与基于纹理的选择性边界匹配算法(TSBMA)不同,该算法更适合于基于帧的恢复。 RMB编码对一些基本块的信息进行编码。当帧丢失时,我们可以先解码RMBs,然后再使用TSBMA解码相邻的MB,这样RMBs可以为边界匹配提供正确的位置,从而获得更好的视觉质量。还讨论了人民币数量的影响以及重新排序的方法。与其他算法相比,所提出的RMB-TSBMA在丢包率为10%时性能优于传统的时间直接模式(TDM),性能超过3dB PSNR。

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