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FUSION SCHEMES FOR MULTIVIEW DISTRIBUTED VIDEO CODING

机译:用于多视图分布式视频编码的融合方案

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Distributed video coding performances strongly depend on the side information quality, built at the decoder. In multi-view schemes, correlations in both time and view directions are exploited, obtaining in general two estimations that need to be merged. This step, called fusion, greatly affects the performance of the coding scheme; however, the existing methods do not achieve acceptable performances in all cases, especially when one of the estimations is not of good quality, since in this case they are not able to discard it. This paper provides a detailed review of existing fusion methods between temporal and inter-view side information, and proposes new promising techniques. Experimental results show that these methods have good performances in a variety of configurations.
机译:分布式视频编码性能在很大程度上取决于在解码器上建立的辅助信息质量。在多视图方案中,利用了在时间和视图方向上的相关性,通常获得了需要合并的两个估计。此步骤称为融合,极大地影响了编码方案的性能。但是,现有方法在所有情况下都无法达到可接受的性能,尤其是其中一种估计的质量不好时,因为在这种情况下,它们无法将其丢弃。本文详细介绍了现有的时间和视图间辅助信息融合方法,并提出了新的有前途的技术。实验结果表明,这些方法在各种配置下均具有良好的性能。

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