并行实现全搜索块匹配算法的运动估计

P. Baglietto, M. Maresca, A. Migliaro, M. Migliardi
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引用次数: 25

摘要

在大多数视频压缩算法中,尤其是在MPEG和H.261标准中,运动估计是一项关键技术。最常用的技术是基于全搜索块匹配算法,该算法计算量大,需要使用专用架构来获得实时性能。我们提出了一种全搜索块匹配算法的并行实现方法,该算法适用于大规模并行架构的实现,从大规模SIMD计算机到专用处理器阵列,在asic中实现。虽然第一种可选方案可用于实现高性能编码器,但第二种可选方案对于低成本视频压缩设备特别具有吸引力。本文介绍了全搜索块匹配算法的并行实现方法,以及该方法在ASIC上的实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parallel implementation of the full search block matching algorithm for motion estimation
Motion estimation is a key technique in most algorithms for video compression and particularly in the MPEG and H.261 standards. The most frequently used technique is based on a Full Search Block Matching Algorithm which is highly computing intensive and requires the use of special purpose architectures to obtain real-time performance. We propose an approach to the parallel implementation of the Full Search Block Matching Algorithm which is suitable for implementation on massively parallel architectures ranging from large scale SIMD computers to dedicated processor arrays realized in ASICs. While the first alternative can be used for the implementation of high performance coders the second alternative is particularly attractive for low cost video compression devices. This paper describes the approach proposed for the parallel implementation of the Full Search Block Matching Algorithm and the implementation of such an approach in an ASIC.
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