Optimization of interactive live free viewpoint multiview video streaming bandwidth

Abstract

. Free Viewpoint Multiview Video TV (FTV) allows a user to pan horizontally within a video field of view. Interactive live FTV allows a user to experience being live at a soccer game with the interactive capability to freely look from side-to-side. Current efforts to commercialize interactive live FTV have failed due to a lack of standardization and unacceptably high real-world DVB (Direct Video Broadcast) system bandwidth requirements. In this paper, we provide a solution called OLFVmv (Optimized Live Free Viewpoint Multiview Video) that applies adaptive prediction of future video content requirements based on past viewer behavior, thereby dramatically reducing system bandwidth requirements. To expand, OLFVmv entails algorithms and a system architecture that allows for the intelligent segmentation and prioritization of video content based on video compression layering combined with viewer behavior statistics. Based on our positive results, we show that system operators can practically implement OLFVmv into existing systems.