IEEE 3333.1.1-2024

This standard establishes various traditional and deep learning-based methods for visual saliency prediction, visual contents analysis, and subjective assessments for quantifying the visual discomfort and quality of experience (QoE) of 3D image and video.



Revision Standard - Active. As the supply and demand for 3D technologies grows, the development of accurate quality assessment techniques is necessary to develop the industries of the 3D display devices and signal processing engines. Underlying principles and statistical characteristics of 3D contents based on human visual system (HVS) are described in this standard. In addition, the reliable 3D subjective assessment methodology that covers the characteristics of human perception, display mechanism, and viewing environment is introduced in this document.