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High Performance Architecture of Motion Estimation Algorithm for Video Compression

机译:用于视频压缩的运动估计算法的高性能体系结构

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Motion estimation (ME) is a highly computationally intensive operation in video compression. Efficient ME architectures are proposed in the literature. This paper presents an efficient low computational complexity systolic architecture for full search block matching ME (FSBME) algorithm. The proposed architecture is based on one-bit transform-based full search (FS) algorithm. The proposed ME hardware architectures perform FS ME for four macroblocks (MBs) in parallel. The proposed hardware architecture is implemented in VHDL. The FSBME hardware consumes 34% of the slices in a Xilinx Vertex XC6vlx240T FPGA device with a maximum frequency of 133MHz and is capable of processing full high de definition (HD) (1920 x 1080) frames at a rate of 60 frames per second.
机译:运动估计(ME)是视频压缩中计算量很大的操作。文献中提出了一种有效的ME体系结构。本文提出了一种用于全搜索块匹配ME(FSBME)算法的高效,低计算复杂度的脉动体系结构。所提出的体系结构基于基于一位变换的全搜索(FS)算法。提出的ME硬件体系结构并行执行四个宏块(MB)的FS ME。拟议的硬件体系结构在VHDL中实现。在最高频率为133MHz的Xilinx Vertex XC6vlx240T FPGA器件中,FSBME硬件消耗了34%的条带,并且能够以每秒60帧的速率处理完整的高清(HD)(1920 x 1080)帧。

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