Joint Rate and FoV adaptation in immersive video streaming-Reference-Cited by-同舟云学术

Joint Rate and FoV adaptation in immersive video streaming

Published:2018-08-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 Morning Workshop on Virtual Reality and Augmented Reality Network
language:
Short-container-title:

Author:

He Dongbiao¹,Westphal Cedric²,Garcia-Luna-Aceves J. J.²

Affiliation:

1. Tsinghua University, Beijing China

2. University of California, Santa Cruz, Santa Cruz, CA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3229625.3229630

Reference19 articles.

1. Characterization of 360-degree Videos

2. NGMN Alliance. 2015. NGMN 5G White Paper. https://www.ngmn.org/uploads/media/NGMN_5G_White_Paper_V1_0.pdf. (Feb. 2015). NGMN Alliance. 2015. NGMN 5G White Paper. https://www.ngmn.org/uploads/media/NGMN_5G_White_Paper_V1_0.pdf. (Feb. 2015).

3. Stephen Cass and Charles Choi. 2015. Google Glass HoloLens and the Real Future of Augmented Reality. In IEEE Spectrum. Stephen Cass and Charles Choi. 2015. Google Glass HoloLens and the Real Future of Augmented Reality. In IEEE Spectrum.

4. VR/AR Immersive Communication

5. Jacob Chakareski Ridvan Aksu Xavier Corbillon Gwendal Simon and Viswanathan Swaminathan. 2018. Viewport-Driven Rate-Distortion Optimized 360° Video Streaming. arXiv preprint arXiv:1803.08177 (2018). Jacob Chakareski Ridvan Aksu Xavier Corbillon Gwendal Simon and Viswanathan Swaminathan. 2018. Viewport-Driven Rate-Distortion Optimized 360° Video Streaming. arXiv preprint arXiv:1803.08177 (2018).

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