An early CU partition mode decision algorithm in VVC based on variogram for virtual reality 360 degree videos

Abstract 360-degree videos have become increasingly popular with the application of virtual reality (VR) technology. To encode such kind of videos with ultra-high resolution, an efficient and real-time video encoder becomes a key requirement. The Versatile Video Coding (VVC) standard has good coding...

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Bibliographic Details
Main Authors: Mengmeng Zhang, Yan Hou, Zhi Liu
Format: Article
Language:English
Published: SpringerOpen 2023-05-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Online Access:https://doi.org/10.1186/s13640-023-00605-0
Description
Summary:Abstract 360-degree videos have become increasingly popular with the application of virtual reality (VR) technology. To encode such kind of videos with ultra-high resolution, an efficient and real-time video encoder becomes a key requirement. The Versatile Video Coding (VVC) standard has good coding performance. However, it has pretty high computational complexity which increasing the application cost of 360-degree videos. Among them, the decision of the quadtree with nested multi-type tree (QTMT) partitioning structure is one of the time-consuming procedures. In this paper, based on the characteristics of 360-degree video with Equirectangular projection (ERP) format, the empirical variogram combined with Mahalanobis distance is introduced to measure the difference between the horizontal and vertical directions of the CU, and a fast partition algorithm is proposed. The experimental results show that the algorithm saves 32.13% of the coding time with only an increase of 0.66% in BDBR.
ISSN:1687-5281