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Point Cloud Video Streaming: Challenges and Solutions
IEEE NETWORK ( IF 6.8 ) Pub Date : 2021-09-15 , DOI: 10.1109/mnet.101.2000364
Zhi Liu , Qiyue Li , Xianfu Chen , Celimuge Wu , Susumu Ishihara , Jie Li , Yusheng Ji

Volumetric video (or hologram video), the medium for representing natural content in VR/AR/MR, is presumably the next generation of video technology and a typical use case for 5G and beyond wireless communications. To realize volumetric video applications, efficient volumetric video streaming is in critical demand. This article responds to the challenges of and proposes solutions to wireless transmission systems of point cloud video, which is the most popular and favored way to represent volumetric media and significantly differs from the other types of videos. In particular, we first introduce point cloud video technology and its applications, and then discuss the challenges of and solutions to point cloud video streaming, including encoding, tiling, viewing angle prediction, decoding, quality assessment and transmission optimization. Furthermore, we explain a prototype of a MPEG DASH-based point cloud video streaming system as a preliminary study, along with more simulation results to verify its performance. Finally, we identify future research directions for providing high-quality point cloud video streaming.

中文翻译:


点云视频流:挑战和解决方案



体积视频(或全息视频)是在 VR/AR/MR 中表示自然内容的媒介,可能是下一代视频技术,也是 5G 及其他无线通信的典型用例。为了实现体积视频应用,高效的体积视频流至关重要。本文应对点云视频无线传输系统的挑战并提出解决方案,点云视频是表示体积媒体的最流行和最受青睐的方式,与其他类型的视频有显着不同。特别是,我们首先介绍点云视频技术及其应用,然后讨论点云视频流的挑战和解决方案,包括编码、平铺、视角预测、解码、质量评估和传输优化。此外,我们还解释了基于 MPEG DASH 的点云视频流系统的原型作为初步研究,并提供了更多仿真结果来验证其性能。最后,我们确定了提供高质量点云视频流的未来研究方向。
更新日期:2021-09-15
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