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A hierarchical algorithm with fast convergence spiral search pattern for block matching in motion estimation

机译:运动估计中块匹配的具有快速收敛螺旋搜索模式的分层算法

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In a video encoding process, motion estimation (ME) has an important effect, because it approximately takes 60% to 80% of computation in the total computation complexity of video coding. ME is usually applied to reduce the redundancy that exists between successive frames of a video sequence. The motion vector (MV) obtained through this process represent the movement of objects between the frames. One of the most efficient and well-known ME techniques is block matching algorithm (BMA). BMAs have been widely used in several video coding standards. There are various BMAs which try to reduce the number of computations in order to speed up the video encoding process. Here, a block matching ME algorithm called hierarchical algorithm with fast convergence spiral search (HAFCSS) is developed with the intention of reducing the computational complexity while maintaining the visual quality. This is implemented in MATLAB with different video sequences having different motion content. The proposed method provides a better speed improvement of 9% to 45% with reduced number of search points.
机译:在视频编码过程中,运动估计(ME)具有重要作用,因为在视频编码的总计算复杂度中,运动估计(ME)大约需要60%到80%的计算量。 ME通常用于减少视频序列的连续帧之间存在的冗余。通过此过程获得的运动矢量(MV)表示对象在帧之间的运动。块匹配算法(BMA)是最有效和众所周知的ME技术之一。 BMA已被广泛用于几种视频编码标准中。有各种各样的BMA试图减少计算量,以加快视频编码过程。在此,为了在保持视觉质量的同时降低计算复杂度的目的,开发了称为快速收敛螺旋搜索的分层算法(HAFCSS)的块匹配ME算法。这是在MATLAB中用具有不同运动内容的不同视频序列实现的。所提出的方法在减少搜索点数量的情况下可将速度提高9%到45%。

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