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    1.
    发明公开
    "An efficient low power motion estimation of a video frame sequence" 有权
    EffizienteNiedrigleistungsbewegungsschätzungfüreine Video-Vollbildsequenz

    公开(公告)号:EP1259079A2

    公开(公告)日:2002-11-20

    申请号:EP02008699.7

    申请日:2002-04-18

    CPC classification number: H04N19/53 H04N19/14 H04N19/194 H04N19/61

    Abstract: The present invention provides a system, method and computer program product for efficient low power motion estimation of a digital video image wherein processing requirements are reduced, the reduction being dependent on the content being processed. The method performs motion estimation of a current video image using a search window of previous video image. The method comprises as a first step the formation of the mean pyramids of the reference macroblock and the search area. This is followed by full search at the lowest resolution. The number of CMVs propagated to lower levels is dependent on the QADE of the current macroblock and the maximum distortion band obtained during training for that QADE value at that particular level. The process of training over a sequence is triggered at the beginning of every sequence. This training technique is required to determine the value of the maximum distortion band for all QADEs of the macroblocks, occurring over the training frames.

    Abstract translation: 本发明提供一种用于数字视频图像的有效低功率运动估计的系统,方法和计算机程序产品,其中减少了处理要求,所述减少取决于正在处理的内容。 该方法使用先前视频图像的搜索窗口来执行当前视频图像的运动估计。 该方法包括作为参考宏块和搜索区域的平均金字塔形成的第一步骤。 随后以最低分辨率进行全面搜索。 传播到较低级别的CMV的数量取决于当前宏块的QADE和在该特定级别的该QADE值的训练期间获得的最大失真频带。 在每个序列的开头触发序列训练的过程。 需要这种训练技术来确定在训练帧上发生的宏块的所有QADE的最大失真频带的值。

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