改进的菱形搜索算法

Yun Cheng, Xine You, M. Xiao, Minlei Xiao
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引用次数: 4

摘要

DS (Diamond Search)是最著名的运动估计算法之一。通过分析DS的特点,发现可以更有效地改进DS。提出了一种改进的钻石搜索(MDS)算法。首先,MDS采用小菱形搜索模式(SDSP)判断最小块失真(MBD)点是否为初始搜索中心;如果MBD点不在搜索中心,则在下一步搜索中使用简化大菱形搜索模式(SLDSP)。如果MBD点不在半径为1像素的圆形区域内,则继续使用SLDSP定位运动矢量较大的最佳匹配块,直到搜索中心成为MBD点。最后采用SDSP对运动矢量进行细化。实验结果表明,在相同的编码效率下,MDS与DS相比可以大大加快运动估计过程,特别是对于那些运动矢量简单且缓慢的视频序列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Modified Diamond Search algorithm
DS (Diamond Search) is one of the most famous motion estimation algorithms. By analyzing the characteristics of DS, it is found that DS can be improved more efficiently. A Modified Diamond Search (MDS) algorithm is proposed in this paper. Firstly, MDS employs Small Diamond Search Pattern(SDSP) to judge if the MBD(Minimum Block Distortion) point is the initial search center. If the MBD point does not locate at the search center, Simplified Large Diamond Search Pattern(SLDSP) will be used in the next search step. If the MBD point is not within the circular area with a radius of one pixel, SLDSP will be employed continually to locate the best matching block with large motion vector until the search center become the MBD point. Finally SDSP will be adopted to refine the motion vector. Experimental results show that MDS can speed up the motion estimation process greatly under the same encoding efficiency compared to DS, especially for those video sequences with simple and slow motion vectors.
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