On the complexity and accuracy of motion estimation using Lie operators

M. Nalasani, W. D. Pan
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引用次数: 6

Abstract

Conventional motion estimation algorithms in video coding consider only translations, which can be readily characterized by displacement motion vectors. We might be able to achieve more accurate motion estimation by enlarging the search windows, at the expense of drastically increased computational complexity. Alternatively, we could also increase the accuracy of motion estimation by taking into account potential non-translation motions of objects in a video scene, without increasing the search window size. In this paper, we conduct a comparative study on the computational complexity of these two methods. We demonstrate that our motion estimation method based on the Lie operators can significantly increase the accuracy of motion estimation, while requiring much lower complexity than the method of enlarged search windows.
李氏算子运动估计的复杂性和精度
传统的视频编码运动估计算法只考虑平移,这可以很容易地用位移运动向量来表征。我们可以通过扩大搜索窗口来获得更精确的运动估计,但代价是计算复杂度的急剧增加。或者,我们也可以在不增加搜索窗口大小的情况下,通过考虑视频场景中物体的潜在非平移运动来提高运动估计的准确性。本文对这两种方法的计算复杂度进行了比较研究。研究表明,基于李氏算子的运动估计方法可以显著提高运动估计的精度,同时比放大搜索窗口的方法复杂度低得多。
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