Learning-Based Fast Intra Mode Decision for 360-Degree Video Coding with Texture Awareness

This paper aims to reduce the complexity of coding 360-degree videos using VVC. Since 360-degree video undergoes horizontal stretching and exhibits flat, horizontal texture characteristics in the bipolar region after projection to the ERP format, we propose a novel fast intra mode decision (FIMD) algorithm for 360-degree video, which is based on our previously proposed lightweight neural network [1] (LNN).