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An optimized adaptive streaming framework for interactive immersive video experiences

机译:针对交互式沉浸式视频体验的优化自适应流媒体框架

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This paper describes how optimized streaming strategies, based on MPEG-DASH, can be employed to power a new generation of interactive applications based on immersive video. The latter encompasses ultra-high-resolution, omnidirectional and panoramic video. The goal is to deliver experiences that are made up of multiple videos of short duration, which can be joined at run-time in an order defined through user interactions. Applications of the technology are widespread, ranging from virtual walkthroughs to interactive storytelling, the former of which will be featured in detail. The main technological challenges tackled in this paper are to deliver these experiences in a seamless fashion, at the highest quality level allowed by network conditions and on a wide range of platforms, including the Web. Besides these, the paper focuses on the two-tier software architecture of the proposed framework, as well as a short evaluation to substantiate the validity of the proposed solutions.
机译:本文介绍了如何基于MPEG-DASH的优化流策略可用于为基于沉浸式视频的新一代交互式应用程序提供支持。后者包括超高分辨率,全向和全景视频。目标是提供由多个持续时间短的视频组成的体验,这些体验可以在运行时以通过用户交互定义的顺序加入。该技术的应用广泛,从虚拟演练到交互式讲故事,将在其中详细介绍前者。本文解决的主要技术挑战是以无缝的方式,在网络条件和包括Web在内的各种平台上以最高质量级别提供这些体验。除这些以外,本文着重于所提出框架的两层软件体系结构,以及简短的评估以证实所提出解决方案的有效性。

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