A high performance VLSI architecture for Fast Two-Step Search algorithm for sub-pixel motion estimation

S. K. Chatterjee, I. Chakrabarti
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引用次数: 2

Abstract

This paper proposes a parallel architecture for Fast Two-Step Search algorithm, which is used in sub-pixel motion estimation with reduced complexity. As frequent data access is necessary to execute the algorithm which involves interpolation, an architecture efficient in terms of the memory bandwidth is suitable for implementing the algorithm. In the present paper, an architecture based on an intelligent memory configuration has been proposed for the implementation of Fast Two-Step Search algorithm for half-pixel motion estimation. The proposed architecture is based upon nine processing elements (PEs) accompanied with the use of intelligent data arrangement and memory configuration. The proposed architecture is designed to be used as part of H.264 video coding. The architecture, which has been synthesized under Synopsys Design Vision environment, can work at a frequency up to 90 MHz while consuming a power of approximately 459 mW. The proposed architecture provides the solution for realtime low bit rate video applications.
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一种用于亚像素运动估计的快速两步搜索算法的高性能VLSI架构
本文提出了一种并行结构的快速两步搜索算法,该算法用于亚像素运动估计,降低了算法的复杂度。由于执行涉及插值的算法需要频繁的数据访问,因此在内存带宽方面效率高的架构适合于实现该算法。本文提出了一种基于智能存储器配置的结构,用于实现半像素运动估计的快速两步搜索算法。所提出的体系结构基于九个处理元素(pe),并使用智能数据排列和内存配置。所提出的架构被设计为H.264视频编码的一部分。该架构是在Synopsys Design Vision环境下合成的,可以在高达90 MHz的频率下工作,功耗约为459 mW。所提出的架构为实时低比特率视频应用提供了解决方案。
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