Adaptive motion estimation search window size for HEVC standard

H. Kibeya, Fatma Belghith, Mohamed Ali Ben Ayed, N. Masmoudi
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引用次数: 1

Abstract

Recently standardized by the Joint Video Team (JVT) of ITU-T Video Coding Experts Group (VCEG) and ISO/IEC Moving Picture Experts Group (MPEG), the High Efficiency Video Coding (HEVC) was adopted to replace the H264/AVC with better compression performance that facilitates video transmission and storage while maintaining the same reconstructed video quality. This excellent coding efficiency is performed through an exhaustive algorithm for mode decision that requires a huge computational complexity. To accelerate the encoding process, fast motion estimation (ME) algorithms are proposed in this paper. Firstly, according to statistical results of the motion vector difference prediction distribution, an adaptive search range selection algorithm based on a depth level is presented. In addition, several motion estimation search patterns were designed to reduce the calculation redundancy of motion estimation process. Experimental results show that the proposed algorithm schemes can save the ME time up to 88% while upholding almost the same rate-distortion performances.
自适应运动估计搜索窗口大小HEVC标准
最近,ITU-T视频编码专家组(VCEG)和ISO/IEC运动图像专家组(MPEG)联合视频小组(JVT)对HEVC (High Efficiency Video Coding)进行了标准化,采用HEVC (High Efficiency Video Coding)取代H264/AVC,其压缩性能更好,便于视频传输和存储,同时保持相同的重构视频质量。这种出色的编码效率是通过一种需要巨大计算复杂度的模式决策穷举算法来实现的。为了加速编码过程,本文提出了快速运动估计算法。首先,根据运动矢量差预测分布的统计结果,提出了一种基于深度层次的自适应搜索范围选择算法;此外,设计了几种运动估计搜索模式,以减少运动估计过程中的计算冗余。实验结果表明,在保持几乎相同的率失真性能的情况下,所提出的算法可以节省高达88%的ME时间。
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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