视频编码中的自适应运动估计块匹配算法

Mohamed Ghoniem, A. Haggag, Yuzhen Li, Jianming Lu, T. Yahagi, Sekiya Lab
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引用次数: 5

摘要

在大多数基于块的视频编码系统中,快速块匹配算法(BMAs)使用原点作为初始搜索中心,可能无法很好地跟踪运动。为了提高快速运动跟踪搜索算法的精度,本文提出了一种新的自适应运动跟踪搜索算法。基于运动块的空间相关性,自适应选择反映当前块运动趋势的预测起始搜索点。它不存在被局部最小值所困的问题,其特点是在一步中找到大多数运动向量。与全步搜索和三步搜索等六种基于块的搜索算法相比,新算法的平均PSNR与全步搜索非常接近,但平均搜索时间比三步搜索快
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 Block Matching Algorithms for Video Coding
In most block-based video coding systems, the fast block matching algorithms (BMAs) use the origin as the initial search center, which may not track the motion very well. To improve the accuracy of the fast BMAs, a new adaptive motion tracking search algorithm is proposed in this paper. Based on the spatial correlation of motion blocks, a predicted starting search point, which reflects the motion trend of the current block, is adaptively chosen. It does not have the problem of being trapped by local minimum, and is characterized by finding the majority motion vector in one step. When compared with six other block-based search algorithms including the full-search and three-step-search, the new algorithm has an average PSNR very close to that of full search, yet an average search time faster than the three step-search
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