Optimized receiver control in Interactive Multi-View Video Streaming Systems

Multiview applications endow final users with the possibility to freely navigate within 3D scenes with minimum-delay. High-quality rendering of the scene is enabled by transmitting multiple high-quality camera views, which can be used to synthesize additional virtual views to offer a smooth navigation in the scene. When network resources are limited, the set of camera views needs to be properly selected by the client. The right tradeoff between coding artifacts (reducing the quality of camera views) and virtual synthesis artifacts (reducing the number of camera views sent to users) has to be optimized. Existing client adaptation logic strategies usually fail to properly consider the content characteristics and the client navigation properties in the view selection problem. We therefore propose an optimal representation selection for interactive multiview HTTP adaptive streaming (HAS), with a complete problem formulation to select the optimal set of camera views that optimize the navigation quality experienced by the user while satisfying the bandwidth constraints. We show that our optimization problem is NP-hard and develop an effective solution based on a dynamic programming algorithm with polynomial time complexity. Simulation results show significant navigation quality improvement compared to two baseline multiview adaptation logic solutions. This confirms that adaptation logics have to consider both video content and interactivity level of the user in the representation selection strategy