A Multi-user Oriented Live Free-viewpoint Video Streaming System Based On View Interpolation
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Abstract (arXiv)
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.
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6 of 17 references.
References · 6
- 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
- 2018MVSNet: Depth Inference for Unstructured Multi-view Stereocited by 788
- 2017Video Enhancement with Task-Oriented Flowcited by 619
- 2018Stereo Magnification: Learning View Synthesis using Multiplane Imagescited by 211
- 2018Context-aware Synthesis for Video Frame Interpolationcited by 153
- 2020FVV Live: A real-time free-viewpoint video system with consumer electronics hardwarecited by 2
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