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RSVP: Ridiculously Scalable Video Playback on Clustered Tiled Displays

机译:RSVP:在群集的平铺显示器上可笑地扩展视频播放

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This paper introduces a distributed approach for playback of video content at resolutions of 4K (digital cinema) and well beyond. This approach is designed for scalable, high-resolution, multi-tile display environments, which are controlled by a cluster of machines, with each node driving one or multiple displays. A preparatory tiling pass separates the original video into a user definable n-by-m array of equally sized video tiles, each of which is individually compressed. By only reading and rendering the video tiles that correspond to a given node's viewpoint, the computation power required for video playback can be distributed over multiple machines, resulting in a highly scalable video playback system. This approach exploits the computational parallelism of the display cluster while only using minimal network resources in order to maintain software-level synchronization of the video playback. While network constraints limit the maximum resolution of other high-resolution video playback approaches, this algorithm is able to scale to video at resolutions of tens of millions of pixels and beyond. Furthermore the system allows for flexible control of the video characteristics, allowing content to be interactively reorganized while maintaining smooth playback. This approach scales well for concurrent playback of multiple videos and does not require any specialized video decoding hardware to achieve ultra-high resolution video playback.
机译:本文介绍了一种以4K(数字电影)及更高分辨率播放视频内容的分布式方法。此方法设计用于可伸缩的高分辨率多平铺显示环境,该环境由一簇机器控制,每个节点驱动一个或多个显示。预备平铺通道将原始视频分离为用户可定义的n-m大小相等的视频图块阵列,每​​个图块均被单独压缩。通过仅读取和渲染与给定节点的视点相对应的视频图块,可以将视频播放所需的计算能力分布在多台机器上,从而实现高度可伸缩的视频播放系统。此方法利用显示群集的计算并行性,而仅使用最少的网络资源以维持视频播放的软件级同步。尽管网络限制限制了其他高分辨率视频播放方法的最大分辨率,但该算法仍能够以数千万像素甚至更高的分辨率扩展到视频。此外,该系统允许对视频特性进行灵活控制,从而可以在保持流畅播放的同时对内容进行交互式重组。此方法可很好地扩展以同时播放多个视频,并且不需要任何专门的视频解码硬件即可实现超高分辨率的视频播放。

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