Research proposal: Machine Learning-based Strategies for Streaming and Experiencing 3DoF Virtual Reality

Abstract

This paper contains the research proposal of Quentin Guimard that was presented at the MMSys 2022 doctoral symposium. The development of 360° videos experienced in virtual reality (VR) is hindered by network, cybersickness, and content perception challenges. Many levers have already been proposed to address these challenges, but separately. This PhD thesis intends to jointly address these issues by dynamically controlling levers and making quality decisions, with a view to improving the VR streaming experience. This paper describes the steps necessary to the building of such approach, by separating work that has already been achieved over the course of this PhD from tasks that are still left to do. First results are also presented.