4.6 Article

Scalable Multicast for Live 360-Degree Video Streaming Over Mobile Networks

期刊

IEEE ACCESS
卷 10, 期 -, 页码 38802-38812

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3165657

关键词

Streaming media; Unicast; Bandwidth; Video coding; Servers; Quality of experience; Licenses; Virtual reality; 360-degree video; scalable video coding; quality of experience

资金

  1. Vingroup Innovation Foundation (VINIF) [VINIF.2020.DA03]
  2. Japan Society for the Promotion of Science (JSPS) [22K12299]

向作者/读者索取更多资源

A novel framework is proposed in this paper for live 360-degree video streaming to multiple users over mobile networks, utilizing Scalable Video Coding and multicast. The framework splits 360-degree video into tiles, each encoded into multiple layers, to maximize the overall Quality of Experience for users. Experimental results show significant improvement in viewport quality compared to state-of-the-art methods.
Thanks to its ability to provide immersive experience to users, 360-degree video has become one of the key enablers of Virtual Reality. However, the huge data size of 360-degree video poses a challenging problem for live streaming of this special type of video over resource-constrained networks. In this paper, we propose a novel framework for live 360-degree video streaming to multiple users over mobile networks. Our proposed framework jointly utilizes Scalable Video Coding and multicast to deliver 360 video to users in a bandwidth-efficient manner. In particular, 360-degree video is split into small parts called tiles, each is encoded into multiple layers using Scalable Video Encoding. The proposed framework then selects suitable tile layers to maximize the overall Quality of Experience of all users. To support real-time adaptation, we design a Linear Regression-based algorithm to estimate the weights of tiles of individual users. In addition, an efficient algorithm for deciding the suitable tile layers and their transmission modes is proposed. Experimental results show that the proposed method can significantly improve the average viewport quality compared to state-of-the-art methods.

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