  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.
