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Partial distortion based computation-constraint motion estimation

机译:基于局部失真的计算约束运动估计

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摘要

Recently, the rapid development of wireless networks and multimedia communication techniques provide solutions to achieve watching digital videos on hand-held devices. Motion estimation (ME), the most important part of video coding, has been used to increase the effectiveness of video compression. However, the computations of motion estimation could be failed in limited computing environments even using the fast algorithms. Therefore, the traditional ME algorithms cannot directly applied to the hand-held devices. In this paper, we propose a partial distortion scheme that sacrifice little visual quality for hand-held devices in a given computation constraint condition. We also analyze various computation-aware based block matching algorithms and present an efficient method to compute the motion vectors. The proposed method significantly reduces the requirement of computation power in computing motion vectors while the number of search points needed is only 25% of the conventional method.
机译:近来,无线网络和多媒体通信技术的快速发展提供了实现在手持设备上观看数字视频的解决方案。运动估计(ME)是视频编码中最重要的部分,已用于提高视频压缩的有效性。但是,即使在使用快速算法的情况下,运动估计的计算也可能在有限的计算环境中失败。因此,传统的ME算法无法直接应用于手持设备。在本文中,我们提出了一种局部失真方案,该方案在给定的计算约束条件下为手持设备牺牲了很少的视觉质量。我们还分析了各种基于计算的块匹配算法,并提出了一种有效的方法来计算运动矢量。所提出的方法大大降低了计算运动矢量所需的计算能力,而所需的搜索点数量仅为传统方法的25%。

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