Efficient Hardware Design for the VVC Affine Motion Compensation Exploiting Multiple Constant Multiplication

Marcello M. Muñoz, Denis Maass, Murilo R. Perleberg, Luciano Agostini, M. Porto
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Abstract

The Affine Motion Estimation (AME) is a new and high-complexity task of the Versatile Video Coding (VVC) standard. The AME requires the Affine Motion Compensation (MC) to be performed for 4$\times$ 4 subblocks, where one among 156-tap interpolation filters was adopted to interpolate each sample of the 4$\times$ 4 subblock according to the motion vector relative to this subblock. This work presents two dedicated hardware implementations for the Affine MC of the VVC standard, the first focusing on the reduction of power dissipation and the second on the area requirement. The ASIC synthesis results of these architectures for TSMC 40nm standard cells show an area requirement of 54. 43k gates and power dissipation of 12. 8mW for the power efficient variant, while for the hardware efficient, the area requirement is 21. 91k gates and power dissipation of 14.41mW.
利用多常数乘法实现VVC仿射运动补偿的高效硬件设计
仿射运动估计(AME)是通用视频编码(VVC)标准中一项新的高复杂度任务。AME要求对4$\times$ 4子块执行仿射运动补偿(MC),其中156个抽头中的一个根据相对于该子块的运动向量对4$\times$ 4子块的每个样本进行插值。本工作提出了VVC标准仿射MC的两种专用硬件实现,第一个侧重于降低功耗,第二个侧重于面积要求。这些架构在台积电40nm标准晶片上的ASIC合成结果显示,所需面积为54。43k栅极,功耗12。功率高效型为8mW,而硬件高效型的面积要求为21。91k栅极,功耗14.41mW。
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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