Flare: Practical Viewport-Adaptive 360-Degree Video Streaming for Mobile Devices
Flare: Practical Viewport-Adaptive 360-Degree Video Streaming for Mobile Devices
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DOI：
10.1145/3241539.3241565
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发表时间：
2018-10
期刊：
影响因子：
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通讯作者：
Feng Qian;B. Han;Q. Xiao;V. Gopalakrishnan
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作者：
Feng Qian;B. Han;Q. Xiao;V. Gopalakrishnan
Flare是一个实用的系统，用于在商用移动的设备上流式传输360度视频。它采用自适应视口方法，只获取全景场景中覆盖观众即将感知的部分。我们进行了一项IRB批准的用户研究，收集了130名不同用户的头部运动轨迹，以了解如何设计Flare的视口预测机制。然后，我们开发新的在线算法，确定哪些空间部分获取和相应的质量。我们还创新了流媒体管道中的其他组件，例如解码和服务器端传输。通过广泛的评估（在WiFi上播放约400小时，在LTE上播放约100小时），我们表明Flare在现实环境中显着提高了QoE。与非视口自适应方法相比，Flare在WiFi上的质量水平提高了18倍，并在LTE上实现了高带宽减少（高达35%）和视频质量增强（高达4.9倍）。
Flare is a practical system for streaming 360-degree videos on commodity mobile devices. It takes a viewport-adaptive approach, which fetches only portions of a panoramic scene that cover what a viewer is about to perceive. We conduct an IRB-approved user study where we collect head movement traces from 130 diverse users to gain insights on how to design the viewport prediction mechanism for Flare. We then develop novel online algorithms that determine which spatial portions to fetch and their corresponding qualities. We also innovate other components in the streaming pipeline such as decoding and server-side transmission. Through extensive evaluations (~400 hours' playback on WiFi and ~100 hours over LTE), we show that Flare significantly improves the QoE in real-world settings. Compared to non-viewport-adaptive approaches, Flare yields up to 18x quality level improvement on WiFi, and achieves high bandwidth reduction (up to 35%) and video quality enhancement (up to 4.9x) on LTE.