RSVP:在集群平铺显示上不可伸缩的视频播放

J. Kimball, K. Ponto, T. Wypych, F. Kuester
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引用次数: 2

摘要

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。这种方法是为可扩展的、高分辨率的、多块显示环境而设计的,这些环境由一组机器控制,每个节点驱动一个或多个显示。一个预备平铺通道将原始视频分割成用户可定义的n × m大小相等的视频平铺数组,每个平铺都被单独压缩。通过仅读取和呈现与给定节点的视点相对应的视频块,视频播放所需的计算能力可以分布在多台机器上,从而形成高度可扩展的视频播放系统。这种方法利用了显示集群的计算并行性,同时只使用最小的网络资源,以保持视频播放的软件级同步。虽然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,但该算法能够扩展到数千万像素甚至更高分辨率的视频。此外,该系统允许灵活地控制视频特性,允许在保持平稳播放的同时交互式地重新组织内容。这种方法可以很好地扩展多个视频的并发播放,并且不需要任何专门的视频解码硬件来实现超高分辨率的视频播放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RSVP: Ridiculously Scalable Video Playback on Clustered Tiled Displays
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.
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