Quadtree-Structured Motion Estimation Based on Phase Correlation
Quadtree-Structured Motion Estimation Based on Phase Correlation
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DOI：
10.1109/ispacs.2006.364693
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
Kiyohiro Uemura;Masaaki Ikehara
中科院分区：
文献类型：
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作者：
Kiyohiro Uemura;Masaaki Ikehara
本文提出了一种新的基于相位相关性的四叉树结构运动估计方法。在传统的视频编码方案（如 MPEG 系列/H.26x）中，它们使用块匹配（BM）运动补偿和频率变换。但传统BM方法在运动补偿部分的问题是计算量大。我们的目标是减少计算时间并提出一种新颖的四叉树结构相位相关运动估计。相位相关法比 BM 法计算效率更高。四叉树层次结构不仅减少了运动补偿误差，还减少了计算复杂度。通过一些例子，与最小化平方差和（SSD）的 BM 方法相比，我们提出的方法提供了良好的压缩性能并减少了计算时间
This paper proposes a new quadtree-structured motion estimation method based on a phase correlation . In the conventional video coding scheme like MPEG series/H.26x, they use block-matching (BM) motion compensation and the frequency transform. But the problem of the conventional BM method in the part of motion compensation is the computational demanding task. We aim to reduce the computational times and present a novel quadtree-structured phase correlation motion estimation. Phase correlation method is very computationally efficient than the BM method. Quadtree hierarchy scheme reduces not only motion compensated errors but also the computational complexity. Through some examples, our proposed method provides a good compression performance and reduction of computational times as compared to BM method that minimizes sum of squared difference (SSD)