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Visualization of multidimensional data on distributed mobile devices using interactive video streaming techniques

机译:使用交互式视频流技术在分布式移动设备上可视化多维数据

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Remote visualization of large datasets has been a challenge for distributed systems for a long time. This challenge is getting even bigger when visualization refers to devices with limited capabilities, like CPU and GPU power, number of RAM or screen size. In this paper we present a distributed system we have developed for interactive visualization of remote datasets on variety of modern mobile devices, including laptops, tablets and phones. In our system all the data are rendered on dedicated servers, compressed on-the-fly using a video codec and pushed to client as a single video stream. Based on this model we have taken off most of the computational power from client's devices, leaving them with a video decompression. We were also able to achieve very high frame rates and video quality, dynamically adapted to device capabilities and current network bandwidth of a client. Our system can be used with almost any kind of data, including 2D, 3D and even animated 3D data. All of them are being processed in real time based on user inputs, with minor latency, allowing interactive visualization. At the end of this paper we also present some preliminary results of system performance gained using sample, multidimensional medical datasets.
机译:长期以来,大型数据集的远程可视化一直是分布式系统的挑战。当可视化指的是功能受限的设备(例如CPU和GPU功能,RAM数量或屏幕尺寸)时,这一挑战将变得更大。在本文中,我们介绍了一个分布式系统,该系统已开发用于交互式可视化各种现代移动设备(包括笔记本电脑,平板电脑和电话)上的远程数据集。在我们的系统中,所有数据都呈现在专用服务器上,使用视频编解码器进行即时压缩,并作为单个视频流推送到客户端。基于此模型,我们已从客户端设备中释放了大部分计算能力,使它们具有视频解压缩功能。我们还能够实现非常高的帧速率和视频质量,可以动态地适应设备功能和客户端当前的网络带宽。我们的系统可用于几乎所有类型的数据,包括2D,3D甚至是动画3D数据。所有这些都基于用户输入实时处理,并具有较小的延迟,从而可以进行交互式可视化。在本文的最后,我们还介绍了使用样本多维医学数据集获得的系统性能的一些初步结果。

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