An ASIP approach for motion estimation reusing resources for H.264 intra prediction

Ingoo Heo, Sanghyun Park, Jinyong Lee, Y. Paek
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引用次数: 6

Abstract

For high video quality and high compression rate, H.264, the latest standard of video compression, is widely used. Motion estimation is well known application that reduces temporal redundancy and the most computation-intensive part of the standard. In order to improve the performance of motion estimation, various approaches were suggested, such as novel motion estimation algorithms, Application Specific Integrated Circuit(ASIC)s and Application Specific Instruction set Processor(ASIP)s. Among them, ASIP approach became popular because it can narrow the gap between ASICs and General Purpose programmable Processors (GPP) in terms of performance, power, cost and flexibility. ASIP gains flexibility since it is based on programmable processor, and reasonable performance by adding application specific instructions. In this paper, we introduce an ASIP for motion estimation inherited from our previous ASIP for H.264 intra prediction [5]. The proposed ASIP design shows sufficient throughput for QCIF format using Three Step Search(TSS) algorithm and little area increase about 11% compared to [5] while H.264 intra prediction is still enabled.
基于H.264帧内预测资源复用的运动估计ASIP方法
为了实现高视频质量和高压缩率,最新的视频压缩标准H.264得到了广泛的应用。运动估计是众所周知的减少时间冗余的应用,也是标准中计算量最大的部分。为了提高运动估计的性能,提出了多种方法,如新的运动估计算法、专用集成电路(ASIC)和专用指令集处理器(ASIP)。其中,ASIP方法之所以受到欢迎,是因为它可以缩小asic与通用可编程处理器(GPP)在性能、功耗、成本和灵活性方面的差距。ASIP由于基于可编程处理器而获得灵活性,并通过添加特定于应用程序的指令而获得合理的性能。在本文中,我们引入了一种运动估计的ASIP,继承了之前的H.264帧内预测的ASIP。所提出的ASIP设计在启用H.264帧内预测的情况下,使用三步搜索(TSS)算法对QCIF格式显示了足够的吞吐量,并且与[5]相比面积增加了11%左右。
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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