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arXiv · 1704.06444

FISF: Better User Experience using Smaller Bandwidth for Panoramic Virtual Reality Video

Lun Wang·Damai Dai·Jie Jiang·Tong Yang·Xiaoke Jiang·Zekun Cai·Yang Li·Xiaoming Li
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Abstract

The panoramic video is widely used to build virtual reality (VR) and is expected to be one of the next generation Killer-Apps. Transmitting panoramic VR videos is a challenging task because of two problems: 1) panoramic VR videos are typically much larger than normal videos but they need to be transmitted with limited bandwidth in mobile networks. 2) high-resolution and fluent views should be provided to guarantee a superior user experience and avoid side-effects such as dizziness and nausea. To address these two problems, we propose a novel interactive streaming technology, namely Focus-based Interactive Streaming Framework (FISF). FISF consists of three parts: 1) we use the classic clustering algorithm DBSCAN to analyze real user data for Video Focus Detection (VFD); 2) we propose a Focus-based Interactive Streaming Technology (FIST), including a static version and a dynamic version; 3) we propose two optimization methods: focus merging and prefetch strategy. Experimental results show that FISF significantly outperforms the state-of-the-art. The paper is submitted to Sigcomm 2017, VR/AR Network on 31 Mar 2017 at 10:44:04am EDT.

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Lun Wang, Damai Dai, Jie Jiang, Tong Yang, Xiaoke Jiang, Zekun Cai, Yang Li, Xiaoming Li. 2017-04-21. FISF: Better User Experience using Smaller Bandwidth for Panoramic Virtual Reality Video. https://arxiv.org/abs/1704.06444

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