학술논문

Rate-Distortion Optimization for 360-degree Image Considering Visual Attention
Document Type
Conference
Source
2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2020 Asia-Pacific. :1128-1131 Dec, 2020
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Distortion
Image coding
Visualization
Encoding
Bit rate
Two dimensional displays
Rate-distortion
Language
ISSN
2640-0103
Abstract
Nowadays, 360-degree image is emerging as a new way of experiencing immersive life. It offers users a free viewpoint experience. At the same time, the huge data amount of 360-degree image and video brings the need of efficient coding for this kind of content, in order to achieve real-time transmission, particularly for virtual/augmented reality application. Since only part of the scene is watched by the observer, compressing the whole scene with equal quality is probably inefficient. In this paper, visual attention is considered for 360-degree image coding. By referring to the saliency map of the 360-degree image, the distortion for the rate-distortion optimization (RDO) is modified to ensure better visual experience. The experimental results show that the viewport with higher interest will be rendered with higher quality, and significant bitrate reduction is achieved when the quality measurement is performed in these regions.