公开(公告)号：US20030012282A1

公开(公告)日：2003-01-16

申请号：US10134662

申请日：2002-04-29

Applicant: STMicroelectronics Ltd.

Inventor： Paul Sathya Chelladurai ,  Arshad Ahmed ,  Soumitra Kumar Nandy

IPC: H04N007/12

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

Abstract: A method for efficient low power motion estimation of a digital video image is provided in which processing requirements are reduced based upon the content being processed. The method performs motion estimation of a current video image using a search window of a previous video image. The method may include forming mean pyramids of a reference macroblock and the search area and a full search at a lowest resolution. A number of candidate motion vectors (CMVs) propagated to lower levels may be dependent on a quantized average deviation estimate (QADE) of a current macroblock and the maximum distortion band obtained during training for that QADE value at that particular level. Training over a sequence may be triggered at the beginning of every sequence. This training technique may be used to determine the value of the maximum distortion band for all QADEs of the macroblocks occurring over the training frames.

Abstract translation: 提供了一种用于数字视频图像的有效低功率运动估计的方法，其中基于正在处理的内容来减少处理要求。 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。 该方法可以包括以最低分辨率形成参考宏块的平均金字塔和搜索区域和全搜索。 传播到较低级别的多个候选运动矢量（CMV）可以取决于当前宏块的量化平均偏差估计（QADE）和在该特定级别处针对该QADE值的训练期间获得的最大失真频带。 在序列开始时可能会触发序列的训练。 该训练技术可用于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。