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An Improved Fast Affine Motion Estimation Based on Edge Detection Algorithm for VVC
Symmetry ( IF 2.2 ) Pub Date : 2020-07-08 , DOI: 10.3390/sym12071143
Weizheng Ren , Wei He , Yansong Cui

As a newly proposed video coding standard, Versatile Video Coding (VVC) has adopted some revolutionary techniques compared to High Efficiency Video Coding (HEVC). The multiple-mode affine motion compensation (MM-AMC) adopted by VVC saves approximately 15%-25% Bjontegaard Delta Bitrate (BD-BR), with an inevitable increase of encoding time. This paper gives an overview of both the 4-parameter affine motion model and the 6-parameter affine motion model, analyzes their performances, and proposes improved algorithms according to the symmetry of iterative gradient descent for fast affine motion estimation. Finally, the proposed algorithms and symmetric MM-AMC flame of VTM-7.0 are compared. The results show that the proposed algorithms save 6.65% total encoding time on average, which saves approximately 30% encoding time of affine motion compensation.

中文翻译:

一种改进的基于边缘检测算法的 VVC 快速仿射运动估计

作为新提出的视频编码标准,与高效视频编码(HEVC)相比,通用视频编码(VVC)采用了一些革命性的技术。VVC采用的多模仿射运动补偿(MM-AMC)节省了大约15%-25%的Bjontegaard Delta Bitrate(BD-BR),编码时间不可避免地增加。本文概述了4参数仿射运动模型和6参数仿射运动模型,分析了它们的性能,并根据迭代梯度下降的对称性提出了用于快速仿射运动估计的改进算法。最后,将所提出的算法与 VTM-7.0 的对称 MM-AMC 火焰进行比较。结果表明,所提算法平均节省了6.65%的总编码时间,比仿射运动补偿节省了约30%的编码时间。
更新日期:2020-07-08
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