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Genetic motion search algorithm for video compression

机译:用于视频压缩的遗传运动搜索算法

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摘要

A new approach to block-based motion estimation for video compression, called the genetic motion search (GMS) algorithm, is introduced. It makes use of a natural processing concept called genetic algorithm (GA). In contrast to existing fast algorithms, which rely on the assumption that the matching error decreases monotonically as the search point moves closer to the global optimum, the GMS algorithm is not fundamentally limited by this restriction. Experimental results demonstrate that GMS is more robust than other algorithms in locating the global optimum and is computationally simpler than the full search algorithm. GMS is also suitable for VLSI implementation because of its regularity and high architectural parallelism.
机译:介绍了一种基于块的视频压缩运动估计新方法,称为遗传运动搜索(GMS)算法。它利用了称为遗传算法(GA)的自然处理概念。与现有的快速算法相反,后者依赖于这样的假设,即随着搜索点移近全局最优值,匹配误差会单调减少,而GMS算法从根本上不受此限制。实验结果表明,GMS在定位全局最优值方面比其他算法更强大,并且在计算上比完整搜索算法更简单。 GMS的规则性和高度的架构并行性也适合VLSI实现。

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