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Global motion estimation from randomly selected motion vector groups and GM/LM based applications - Springer

机译:从随机选择的运动向量组和基于GM / LM的应用程序中进行全局运动估计-Springer

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摘要

Fast global motion estimation has been paid much attention in video compression and analysis. In this paper, a global motion estimation method is proposed by randomly selected motion vector groups in the compression domain directly. It is carried out by refining the centroid of the global motion parameters corresponding to the motion vector groups. Simulation results on different global motions show its effectiveness and robustness against noise and motion vector loss. Finally, two applications, namely the text occluded region recovery and the error concealment, are presented using the global motion/local motion information. Experimental results show the effectiveness of the proposed method.
机译:快速的全局运动估计已在视频压缩和分析中引起了广泛关注。本文提出了一种直接在压缩域中随机选择运动矢量组的全局运动估计方法。它是通过优化与运动矢量组相对应的全局运动参数的质心来执行的。不同全局运动的仿真结果表明了其对噪声和运动矢量损失的有效性和鲁棒性。最后,使用全局运动/局部运动信息来呈现两个应用,即文本遮挡区域恢复和错误隐藏。实验结果表明了该方法的有效性。

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