A fast motion estimation algorithm by using Immune Quantum Algorithm

Liu Zhen, Shi Jin-ming, Bai Zhongying, Zhao Jin-yan
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Abstract

In this paper, a novel fast multi-mode motion estimation algorithm by using immune quantum algorithm is proposed. By the judgement of the motion style according to he correlation of the motion vector. the type of searching modes can be choosed adaptively. In the slow-motion mode, CDS method can be used directly. In the exquisite motion mode, a combined IQA/CDS search strategy is utilized. Firstly, the IQA method is used to search the appropriate best motion vector in the combined search strategy, which can synthesizes the character of block motion estimation and that of global search, no prone to premature and high convergence speed. Then the CDS method is used to search global best motion vector in the region around the appropriate motion vector. Experimental results show that the algorithm can speed up the process of motion estimation effectively.
基于免疫量子算法的快速运动估计算法
本文提出了一种基于免疫量子算法的快速多模运动估计算法。根据运动矢量的相关性判断运动风格。搜索模式的类型可以自适应选择。在慢动作模式下,可以直接使用CDS方法。在精细运动模式下,采用IQA/CDS联合搜索策略。首先,利用IQA方法在组合搜索策略中搜索合适的最佳运动向量,综合了块运动估计和全局搜索的特点,不容易出现早熟,收敛速度快;然后使用CDS方法在合适的运动向量周围区域搜索全局最优运动向量。实验结果表明,该算法能有效加快运动估计的速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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