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A Low-Power Motion Estimation Architecture for HEVC Based on a New Sum of Absolute Difference Computation

机译:基于新绝对差计算的新总和的HEVC低功率运动估计架构

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High-efficiency video coding (HEVC) poses a considerable challenge to hardware implementation due to its complexity. Mobile devices are powered by batteries that are limited in capacity. Therefore, reducing the power consumption arising from the implementation of sophisticated coding tools in HEVC is an especially important issue for mobile devices. In particular, motion estimation (ME) is the major contributor to the power consumption of the encoder and the calculation of the sum of absolute difference (SAD) for ME consumes more than 50% of the total ME power. In this paper, a low-power motion estimation VLSI architecture is proposed based on a novel method of calculating the SAD. By reusing the calculation, the computation complexity and, hence, the power consumption are reduced. A low-power systolic processing elements array and a novel memory hierarchy are developed, which enable real-time processing of 8K resolution video with only half of the power consumption when compared with the state-of-the-art design.
机译:高效视频编码(HEVC)由于其复杂性而对硬件实现构成了相当大的挑战。移动设备由电池供电,电池受限于容量。因此,降低了在HEVC中实现了精致的编码工具所产生的功耗是移动设备的特别重要问题。特别是,运动估计(ME)是编码器的功耗的主要贡献者以及对我的绝对差(SAD)的计算的计算消耗总量的50%以上。本文基于计算悲伤的新方法,提出了一种低功率运动估计VLSI架构。通过重新计算计算,计算复杂性,因此,减少了功耗。开发了一种低功率的收缩处理元件阵列和新型存储层,它能够与最先进的设计相比,仅具有仅有功耗的一半的8K分辨率视频的实时处理。

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