基于时空相关的自适应运动估计算法

Jong-Hyun Lim, Hae-Wook Choi
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引用次数: 10

摘要

使用全搜索的块运动估计计算量很大。以前提出的快速搜索算法限制了搜索窗口的大小、序列的大小(通常是QCIF格式)和搜索位置。这些算法不适合具有较大运动或较大图像大小的序列。在本文中,我们提出了一种新的快速高效的块运动估计搜索算法,它比TSS和4SS在质量上有更好的性能和更少的计算时间。该算法基于基于距离准则的每个宏块选择一个自适应搜索窗口的思想,无需计算负担,每个宏块使用三个空间宏块和一个时间宏块。仿真结果表明,与TSS和4SS相比,图像质量更好,执行速度更快。因此,它可以很好地解决实时多媒体移动系统的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive motion estimation algorithm using spatial and temporal correlation
Block motion estimation using full search is computationally intensive. Previously proposed fast search algorithms limit the size of search window, the size of sequence (usually QCIF format) and search locations. These algorithms do not fit for sequences having large motion or larger picture size. In this paper, we present a new fast and efficient search algorithm for block motion estimation that produce better performance in quality than TSS and 4SS and less computational time. The proposed algorithm is based on the idea of selecting an adaptive search window per macro-block using 3 spatial macro-blocks and one temporal macro-block with the distance criterion without computational burden. The result of simulation shows not only better quality of pictures than that of TSS and 4SS, but also faster execution time. Therefore it can be good solution for the real time multimedia mobile systems.
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