8-bit partial sums of 16 luminance values for fast block motion estimation

C. Duanmu, M. Ahmad, M. Swamy
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引用次数: 2

Abstract

Fast block motion estimation algorithms are needed for real-time implementations of video coding standards due to the high computational complexity of the full-search algorithm for block motion estimation. In this paper, an algorithm using 8-bit partial sums of 16 luminance values for a fast block motion estimation is proposed. The technique of using the partial sums is employed to reduce the computational complexity of not only the full-search algorithm but also some of the fast block motion estimation algorithms while maintaining their accuracy. Furthermore, it is shown that the byte-type data-parallelism on an SIMD architecture can be utilized to access and process these partial sums concurrently to accelerate the process of motion estimation. Simulation results are presented to demonstrate that the use of the partial sums can accelerate the execution of the full-search, three-step search, and four-step search algorithms on an SIMD architecture significantly.
用于快速块运动估计的16个亮度值的8位部分和
由于块运动估计的全搜索算法计算量大,需要快速的块运动估计算法来实时实现视频编码标准。本文提出了一种基于16个亮度值的8位部分和的快速块运动估计算法。利用部分和技术不仅可以降低全搜索算法的计算量,还可以降低一些快速块运动估计算法的计算量,同时保持其准确性。此外,SIMD架构上的字节型数据并行性可用于并发访问和处理这些部分和,以加快运动估计的过程。仿真结果表明,在SIMD架构下,使用部分和可以显著加快全搜索、三步搜索和四步搜索算法的执行速度。
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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