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Efficient motion estimation using multiple log searching and adaptive search windows

机译:使用多个日志搜索和自适应搜索窗口的高效运动估计

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Most current standards for video compression employ block matching motion compensation to reduce temporal redundancy, although they do not specify how the block matching is to be implemented. Exhaustive search gives the optimal compressed video signal quality for block matching but at the expense of high computational complexity. This computation can be decreased by well-known reduced search techniques, such as log search, but this can be at the expense of reduced signal to noise ratio. This paper presents two techniques which maintain signal quality close to that of full search but with significant savings in computation. The first technique employs multiple searches focused on the predominant small motion vectors combined with pixel decimation to reduce comparisons. The second dynamically adjusts the search window size to avoid wasting search effort on areas where it is considered unlikely that the optimal motion vector will be found.
机译:最新的视频压缩标准采用块匹配的运动补偿以减少时间冗余,尽管它们未指定要实现块匹配的方式。详尽的搜索为块匹配提供了最佳的压缩视频信号质量,但以牺牲高计算复杂性为代价。通过众所周知的降低的搜索技术,例如日志搜索,可以减少该计算,但这可以是以减少信噪比的代价。本文呈现了两种技术,将信号质量保持在完全搜索的信号质量,但在计算中具有大量节省。第一技术采用聚焦在主要的小型运动矢量上的多个搜索与像素抽取组合以减少比较。第二个动态调整搜索窗口大小,以避免在将找到最佳运动向量的区域上浪费搜索工作。

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