Point Cloud Video Streaming: Challenges and Solutions

Zhi Liu, Qiyue Li, Xianfu Chen, Celimuge Wu, Susumu Ishihara, Jie Li, Yusheng Ji

Research output: Contribution to journalArticleScientificpeer-review

74 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)202-209
Number of pages8
JournalIEEE Network
Volume35
Issue number5
DOIs
Publication statusPublished - 1 Sept 2021
MoE publication typeA1 Journal article-refereed

Keywords

  • streaming media
  • three-dimensional displays
  • encoding
  • decoding
  • cameras
  • wireless communication
  • complexity theory
  • cloud computing

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