中文版 | English
题名

Cache and Delivery of VR Video over Named Data Networking

作者
通讯作者Lei, Kai
DOI
发表日期
2018
ISSN
2159-4228
ISBN
978-1-5386-5980-9
会议录名称
页码
280-285
会议日期
15-19 April 2018
会议地点
Honolulu, HI, United states
出版地
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者
摘要
Virtual Reality (VR) may fundamentally change the way of human interaction with cyberspace, and VR video streaming is key to create an immersive VR experience. However, the delivery of VR video requires high spatial and temporal fidelity contents and strict low-latency, which causes that VR video streaming requires much larger bandwidth compared to traditional 2D videos. In this paper, we design and implement a VR video delivery system over Named Data Networking (NDN), which can be regarded as a future network architecture. We study the namespace design of video data, dynamic streaming switch of VR video, pipeline design of Interests. Besides, we also propose an integrating hotspot-based and popularity-based cache policy to cache the contents which are most likely to be requested. The experimental result shows that our proposed method can significantly reduce the transmission delay of VR video and enhance user experiences.
关键词
学校署名
其他
语种
英语
相关链接[来源记录]
收录类别
资助项目
Shenzhen Key Fundamental Research Projects[JCYJ20170412150946024]
WOS研究方向
Engineering ; Telecommunications
WOS类目
Engineering, Electrical & Electronic ; Telecommunications
WOS记录号
WOS:000450157700111
EI入藏号
20183105634661
EI主题词
Network architecture ; Pipelines ; Virtual reality
EI分类号
Pipe, Piping and Pipelines:619.1 ; Computer Software, Data Handling and Applications:723
来源库
Web of Science
全文链接https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8406938
引用统计
被引频次[WOS]:5
成果类型会议论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/24666
专题南方科技大学
作者单位
1.Peking Univ, SECE, Shenzhen 518055, Peoples R China
2.Kandao Technol, Shenzhen, Peoples R China
3.Southern Univ Sci & Technol, Shenzhen 518055, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Yi,Jiang, Xiaoke,Wang, Yi,et al. Cache and Delivery of VR Video over Named Data Networking[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:280-285.
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