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Coordinated application of multiple description scalar quantization and error concealment for error-resilient MPEG video streaming

机译:多描述标量量化和错误隐藏在防错MPEG视频流中的协同应用

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Historically, multiple description coding (MDC) and postprocessing error concealment (ECN) algorithms have evolved separately. In this paper, we propose a coordinated application of multiple description scalar quantizers (MDSQ) and ECN, where the smoothness of the video signal helps to compensate for the loss of descriptions. In particular, we perform a reconstruction that is consistent with the data received at the decoder. When only a single description is available, the video is reconstructed in such a way that: 1) if we were to regenerate two descriptions (from the reconstructed video), one of them would be equivalent to the received description and 2) the reconstructed video is spatiotemporally smooth. Experimental results with several video sequences demonstrated a peak signal-to-noise ratio (PSNR) improvement of 0.9-2.8 dB for intracoded frames. The PSNR improvements for intercoded frames were negligible. However, for both cases, the visual improvements were much more striking than what the PSNR improvement suggested.
机译:从历史上看,多描述编码(MDC)和后处理错误隐藏(ECN)算法已经分别发展。在本文中,我们提出了多描述标量量化器(MDSQ)和ECN的协同应用,其中视频信号的平滑度有助于弥补描述的损失。特别地,我们执行与在解码器处接收到的数据一致的重构。当只有单个描述可用时,将以以下方式重建视频:1)如果我们要从重建的视频中重新生成两个描述,则其中一个将等效于接收到的描述,而2)重建的视频时空平滑。几个视频序列的实验结果表明,帧内编码帧的峰值信噪比(PSNR)提高了0.9-2.8 dB。互编码帧的PSNR改善可忽略不计。但是,对于这两种情况,视觉上的改进都比PSNR改进所建议的要明显得多。

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