Film editing: new levers to improve VR streaming

Savino Dambra, Giuseppe Samela, L. Sassatelli, R. Pighetti, R. Aparicio-Pardo, A. Pinna-Dery
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引用次数: 25

Abstract

Streaming Virtual Reality (VR), even under the mere form of 360° videos, is much more complex than for regular videos because to lower the required rates, the transmission decisions must take the user's head position into account. The way the user exploits her/his freedom is therefore crucial for the network load. In turn, the way the user moves depends on the video content itself. VR is however a whole new medium, for which the film-making language does not exist yet, its "grammar" only being invented. We present a strongly inter-disciplinary approach to improve the streaming of 360° videos: designing high-level content manipulations (film editing) to limit and even control the user's motion in order to consume less bandwidth while maintaining the user's experience. We build an MPEG DASH-SRD player for Android and the Samsung Gear VR, featuring FoV-based quality decision and a replacement strategy to allow the tiles' buffers to build up while keeping their state up-to-date with the current FoV as much as bandwidth allows. The editing strategies we design have been integrated within the player, and the streaming module has been extended to benefit from the editing. Two sets of user experiments enabled to show that editing indeed impacts head velocity (reduction of up to 30%), consumed bandwidth (reduction of up to 25%) and subjective assessment. User's attention driving tools from other communities can hence be designed in order to improve streaming. We believe this innovative work opens up the path to a whole new field of possibilities in defining degrees of freedom to be wielded for VR streaming optimization.
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电影剪辑:改进VR流媒体的新杠杆
流媒体虚拟现实(VR),即使只是360°视频的形式,也比普通视频复杂得多,因为为了降低所需的速率,传输决策必须考虑到用户的头部位置。因此,用户利用其自由的方式对网络负载至关重要。反过来,用户的移动方式取决于视频内容本身。然而,虚拟现实是一种全新的媒介,它的电影制作语言还不存在,它的“语法”只是被发明出来。我们提出了一种强有力的跨学科方法来改善360°视频的流:设计高级内容操作(电影编辑)来限制甚至控制用户的运动,以便在保持用户体验的同时消耗更少的带宽。我们为Android和三星Gear VR构建了一个MPEG DASH-SRD播放器,具有基于FoV的质量决策和替换策略,允许贴图的缓冲区建立,同时在带宽允许的情况下保持当前FoV的最新状态。我们设计的编辑策略已经集成到播放器中,并且流媒体模块已经扩展到从编辑中受益。两组用户实验表明,编辑确实会影响头部速度(减少多达30%)、消耗的带宽(减少多达25%)和主观评估。因此,可以设计来自其他社区的用户注意力驱动工具,以改善流媒体。我们相信这项创新的工作为定义VR流媒体优化所使用的自由度开辟了一条全新的可能性领域。
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