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Power-Efficient Sum of Absolute Differences Hardware Architecture Using Adder Compressors for Integer Motion Estimation Design

机译:使用加法器压缩机进行整数运动估计的高效节能绝对差硬件架构

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Sum of absolute differences (SAD) calculation is one of the most time-consuming operations of video encoders compatible with the high efficiency video coding standard. SAD hardware architectures employ an adder tree to accumulate the coefficients from absolute difference between two video blocks. This paper exploits different adder compressors structures into the SAD hardware architecture. The architectures were synthesized to 45-nm CMOS standard cells. Synthesis results show that SAD architecture using 8-2 compressor composed with 4-2 compressors and Kogge-Stone adder in the recombination line reduces power dissipation by 25.5% on average when compared with the SAD architecture using conventional adders from a state-of-the-art synthesis tool. Our throughput analysis shows that the designed SAD units are capable of encoding full HD (1920×1080) videos in real time at 30 frames/s.
机译:绝对差总和(SAD)计算是与高效视频编码标准兼容的视频编码器最耗时的操作之一。 SAD硬件体系结构采用加法器树来从两个视频块之间的绝对差中累积系数。本文在SAD硬件体系结构中采用了不同的加法器压缩器结构。架构被合成到45纳米CMOS标准单元。综合结果表明,与目前使用传统加法器的SAD架构相比,在重组线路中使用由4-2压缩机和Kogge-Stone加法器组成的8-2压缩机的SAD架构平均可将功耗降低25.5%。先进的综合工具。我们的吞吐量分析表明,设计的SAD单元能够以30帧/秒的速度实时编码全高清(1920×1080)视频。

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