This week Ying Chen is presenting our work on evaluating and exploiting characteristics of user pose in VR at IEEE INFOCOM’22, in a paper and an accompanying demonstration:
VR Viewport Pose Model for Quantifying and Exploiting Frame Correlations presents the first statistical model of viewport pose in VR and develops the first analytically grounded algorithm that establishes which contents should be reused across the frames [PDF] [Code and data]
Demo: Pixel Similarity-Based Content Reuse in Edge-Assisted Virtual Reality showcases how adaptive cross-frame content reuse reduces bandwidth requirements in edge computing-supported VR [Demo abstract PDF] [Video of the demo]
