首页> 外文会议>International Conference on Signal Processing and Multimedia Applications >Search Range Adjustment and Motion Vector Prediction for Fast Motion Estimation - Using Neighbouring Motion Vectors and Distortions for Adjustment of a Search Range and a Starting Point
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Search Range Adjustment and Motion Vector Prediction for Fast Motion Estimation - Using Neighbouring Motion Vectors and Distortions for Adjustment of a Search Range and a Starting Point

机译:用于快速运动估计的搜索范围调整和运动矢量预测 - 使用相邻运动矢量和失真进行调整搜索范围和起始点

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The block matching algorithm has been widely used for motion estimation, but it suffers from heavy computational complexity. Many researchers in video processing area have proposed fast motion estimation algorithms by adopting various ways to reduce its complexity. In this paper, we introduce a conventional method controlling a search range and defining a new starting point, and also discuss our proposed method which supplements previous work by using neighbouring block's motion vectors and distortions. Consequently, we obtained remarkable performance about 80 times faster than full search and 2.6 times faster than conventional algorithm with small video quality improvement in terms of PSNR. Therefore, the proposed method can be applied for real-time video processing applications.
机译:块匹配算法已广泛用于运动估计,但它受到重大计算复杂性。视频处理区域中的许多研究人员通过采用各种方式来提出快速运动估计算法来降低其复杂性。在本文中,我们介绍了一种控制搜索范围并定义新起点的传统方法,并且还讨论了通过使用相邻块的运动向量和失真来补充先前的工作的所提出的方法。因此,我们的表现比完全搜索快80倍,比PSNR的视频质量改善的速度更快了2.6倍。因此,可以应用所提出的方法用于实时视频处理应用程序。

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