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Motion-Compensated Frame Rate Up-Conversion—Part I: Fast Multi-Frame Motion Estimation

机译:运动补偿帧速率上转换-第一部分:快速多帧运动估计

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Motion-compensated frame rate up-conversion is used to convert video/film materials of low frame rates to a higher frame rate so that the materials can be displayed with smooth motion and high-perceived quality. It consists of two key elements: motion estimation and motion-compensated frame interpolation. It requires accurate motion trajectories to ensure quality results and low computational cost to ensure practical applications. This paper presents a novel motion estimation algorithm that combines the accuracy of maximum a posteriori probability (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. Experimental results show that the proposed algorithm provides motion trajectories that are much more accurate than those obtained using either the full-search BMA or hierarchical BMA alone. Also, it is much faster than the full-search BMA.
机译:运动补偿的帧速率上转换用于将低帧速率的视频/电影素材转换为更高的帧速率,以便可以流畅的运动和高品质的显示质量显示视频。它由两个关键元素组成:运动估计和运动补偿帧插值。它需要精确的运动轨迹以确保质量结果,并需要较低的计算成本来确保实际应用。本文提出了一种新颖的运动估计算法,该算法将最大后验概率(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。 MAP估计的优化是使用完全搜索执行的,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,所提出的算法所提供的运动轨迹比单独使用全搜索BMA或分层BMA获得的运动轨迹要精确得多。而且,它比完整搜索BMA快得多。

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