A Fast Intra Mode Selection Algorithm Based on CU Size for Virtual Reality 360∘ Video

Author:

Guan Xiaohan1,Xu Cai1,Zhang Mengmeng1,Liu Zhi1ORCID,Yue Wen2,Mao Fuqi3

Affiliation:

1. North China University of Technology, Beijing 100144, P. R. China

2. China University of Geosciences, Beijing, P. R. China

3. North China University of Technology, University of Geosciences, Beijing, P. R. China

Abstract

Virtual Reality (VR) 360 video is spherical, and has ultra-high definition. It is time-consuming to code it using High Efficient Video Coding (HEVC) directly. In this paper, a fast intra mode selection algorithm based on Coding Unit (CU) size is proposed for VR 360 video in Cubemap projection (CMP) format. A redefined mode selection strategy for two-stage Rough mode decision (RMD) is designed based on different depth CUs to reduce coding time during intra prediction process. The experimental results show that the proposed algorithm brings 27.70% saving in average coding time at the cost of only 0.8% Bjontegaard delta rate increase in All-Intra mode.

Funder

the National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Great Wall Scholar Project of Beijing Municipal Education Commission

Beijing Youth Talent Project

Beijing Municipal Education Commission General Program

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

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