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Fast Multi-Frame Motion Estimation for Video Processing

机译:用于视频处理的快速多帧运动估计

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摘要

Motion estimation is being utilized more and more in video post-production and display for a wide range of applications. These applications require accurate motion trajectories at low computational cost. This paper presents a novel motion estimation algorithm that combines the accuracy of MAP estimation with the speed of hierarchical block-matching algorithm (BMA). This MAP estimation uses three consecutive pictures, instead of the conventional two, and one previously estimated motion field to exploit the temporal correlation between motion fields and to determine motion in occluded areas. The optimization of the MAP estimation is performed using full search and implemented by means of look-up tables. The full search ensures that the optimization converges to the global minimum, while the look-up tables dramatically reduce the computational cost. Experiment results show that the proposed algorithm provides motion trajectories that are much more accurate than those obtained using the full-search BMA and hierarchical BMA. It is much faster than the full-search BMA, but slower than the hierarchical BMA.
机译:运动估计在视频后生产和显示器中正在使用越来越多的应用。这些应用需要以低计算成本计算精确的运动轨迹。本文提出了一种新的运动估计算法,其与分层块匹配算法(BMA)的速度相结合的映射估计。该地图估计使用三个连续的图片,而不是传统的两个,以及一个先前估计的运动字段以利用运动场之间的时间相关性并确定在封闭区域中的运动。使用完全搜索和通过查找表实现地图估计的优化。完整搜索可确保优化会聚到全局最小值,而查找表显着降低了计算成本。实验结果表明,该算法提供了运动轨迹,比使用全搜索BMA和分层BMA获得的运动轨迹。它比全搜索BMA快得多,但比分层BMA慢。

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