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首页> 外文会议>Broadband Multimedia Systems and Broadcasting, 2009. BMSB '09 >Fast multi-frame motion estimation for video processing
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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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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：在视频后期制作和显示中，越来越多的运动估计被越来越多的应用。这些应用需要以低计算成本获得准确的运动轨迹。本文提出了一种新颖的运动估计算法，该算法将MAP估计的准确性与分层块匹配算法（BMA）的速度相结合。该MAP估计使用三个连续的图片而不是传统的两个图片和一个先前估计的运动场来利用运动场之间的时间相关性并确定被遮挡区域中的运动。使用完全搜索执行MAP估计的优化，并通过查找表来实现。完全搜索可确保优化收敛到全局最小值，而查找表则可大大降低计算成本。实验结果表明，该算法提供的运动轨迹比使用全搜索BMA和分层BMA获得的运动轨迹精确得多。它比完全搜索BMA快得多，但比分层BMA慢。

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