A Multi-user Oriented Live Free-viewpoint Video Streaming System Based On View Interpolation
This work addresses the problem of computational complexity and multi-user support in immersive video streaming, representing an incremental improvement over conventional systems.
The paper tackles the challenge of real-time free-viewpoint video streaming for multiple users by introducing a CNN-based view interpolation algorithm and a multi-user oriented system architecture, achieving pleasant immersive experience with low latency.
As an important application form of immersive multimedia services, free-viewpoint video(FVV) enables users with great immersive experience by strong interaction. However, the computational complexity of virtual view synthesis algorithms poses a significant challenge to the real-time performance of an FVV system. Furthermore, the individuality of user interaction makes it difficult to serve multiple users simultaneously for a system with conventional architecture. In this paper, we novelly introduce a CNN-based view interpolation algorithm to synthesis dense virtual views in real time. Based on this, we also build an end-to-end live free-viewpoint system with a multi-user oriented streaming strategy. Our system can utilize a single edge server to serve multiple users at the same time without having to bring a large view synthesis load on the client side. We analyze the whole system and show that our approaches give the user a pleasant immersive experience, in terms of both visual quality and latency.