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Application of Genetic Algorithm to Hexagon-Based Motion Estimation

机译:遗传算法在基于六边形的运动估计中的应用

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摘要

With the improvement of science and technology, the development of the network, and the exploitation of the HDTV, the demands of audio and video become more and more important. Depending on the video coding technology would be the solution for achieving these requirements. Motion estimation, which removes the redundancy in video frames, plays an important role in the video coding. Therefore, many experts devote themselves to the issues. The existing fast algorithms rely on the assumption that the matching error decreases monotonically as the searched point moves closer to the global optimum. However, genetic algorithm is not fundamentally limited to this restriction. The character would help the proposed scheme to search the mean square error closer to the algorithm of full search than those fast algorithms. The aim of this paper is to propose a new technique which focuses on combing the hexagon-based search algorithm, which is faster than diamond search, and genetic algorithm. Experiments are performed to demonstrate the encoding speed and accuracy of hexagon-based search pattern method and proposed method.
机译:随着科学技术的进步,网络的发展以及高清电视的发展,音频和视频的需求变得越来越重要。取决于视频编码技术将是实现这些要求的解决方案。运动估计消除了视频帧中的冗余,在视频编码中起着重要的作用。因此,许多专家致力于这些问题。现有的快速算法依赖于这样的假设,即随着搜索点移近全局最优值,匹配误差会单调减少。但是,遗传算法从根本上不限于此限制。该特征将有助于所提出的方案搜索均方误差,而不是那些快速算法,该均方误差更接近于全搜索算法。本文的目的是提出一种新技术,着重于结合比菱形搜索更快的基于六边形的搜索算法和遗传算法。实验证明了基于六边形的搜索模式方法和提出的方法的编码速度和准确性。

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