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Framework and Application of Live Video Streaming as a Virtual Reality Gaming Technology: A Study of Function and Performance

机译:实时视频流作为虚拟现实游戏技术的框架和应用:功能与性能研究

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Live video streaming of outdoor and built environment could be a source of scenarios generations for training games, especially when scenarios are on real-time dynamics of the environment. Such so-called live virtual reality (LVR) is, among other things, one of the most recent gaming technologies. There is an increasing need for effective solutions that can be utilized to process videos in attempts to gain desirable result, as the requirement of video quality is becoming higher and higher. The issue at the core of real-time transcoding is to control the right combination of transmission bitrate and resolution. This work aims to develop a prototypical workflow for dewarping videos from fisheye camera to the cloud and re-stream it to a client. This prototype is used for testing combinations of bitrate and resolution in various living scenarios of indoor, outdoor and street traffic environments. The study of performance is enabled by KTH students who supply feedbacks about quality of experience. Comments of observers prove the promising use of LVR in training and education games. The results reveal that the combination of bitrate 3.5-4.5 Mbps and resolution 720p is best suited for transmission in order to avoid noticeable lagging.
机译:户外和建筑环境的实时视频流可能是培训游戏的场景代来源,特别是当场景在环境的实时动态时。这些所谓的现场虚拟现实(LVR)是其中之一,其中最近的游戏技术之一。随着视频质量的要求变得越来越高,越来越需要用于处理试图获得所需结果的视频的有效解决方案。实时转码核心的问题是控制传输比特率和分辨率的正确组合。这项工作旨在开发从Fisheye摄像头到云端的揭穿视频的原型工作流程并将其重新流到客户端。该原型用于在室内,室外和街道交通环境的各种生活场景中测试比特率和分辨率的组合。对绩效的研究是由犹太学生提供有关经验质量的反馈。观察者的评论证明了利用LVR在培训和教育游戏中使用。结果表明,比特率3.5-4.5 Mbps和分辨率720p的组合最适合传输,以避免显着的滞后。

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