The DOI matches its Crossref record; 14 of the 15 references it cites were found in a registry or an index.
Optimizing 360 video delivery over cellular networks
Abstract
As an important component of the virtual reality (VR) technology, 360-degree videos provide users with panoramic view and allow them to freely control their viewing direction during video playback. Usually, a player displays only the visible portion of a 360 video. Thus, fetching the entire raw video frame wastes bandwidth. In this paper, we consider the problem of optimizing 360 video delivery over cellular networks. We first conduct a measurement study on commercial 360 video platforms. We then propose a cellular-friendly streaming scheme that delivers only 360 videos' visible portion based on head movement prediction. Using viewing data collected from real users, we demonstrate the feasibility of our approach, which can reduce bandwidth consumption by up to 80% based on a trace-driven simulation.
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“It is worth mentioning that viewpointdependent streaming can be obtained using online transcoding operations, such as using foveate-based encoding [287], or by spatially tiling the video [288].”
From QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey (2020) · cites this paper as [288]
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“In these approaches, viewport-dependent solutions [287], [288] have been proposed for 360 video streaming, because they can reduce the bandwidth required to stream the video.”
From QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey (2020) · cites this paper as [288]
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Citations
Cites
Image Alignment and Stitching: A Tutorial
Szeliski, R. (2007) · Foundations and Trends® in Computer Graphics and Vision · doi:10.1561/0600000009 · Cited by 1,596
A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP
Yin, X., Jindal, A., Sekar, V., & Sinopoli, B. (2015) · ACM Special Interest Group on Data Communication · doi:10.1145/2785956.2787486 · Cited by 1,030
A buffer-based approach to rate adaptation
Huang, T.-Y., Ramesh Johari, B., McKeown, N., Trunnell, M., & Watson, M. (2014) · ACM SIGCOMM Conference (SIGCOMM) · doi:10.1145/2619239.2626296 · Cited by 1,007
A close examination of performance and power characteristics of 4G LTE networks
Huang, J., Qian, F., Gerber, A., Mao, Z. M., Sen, S. B., & Spatscheck, O. (2012) · International Conference on Mobile Systems, Applications, and Services · doi:10.1145/2307636.2307658 · Cited by 996
Self-citationImproving fairness, efficiency, and stability in HTTP-based adaptive video streaming with FESTIVE
Jiang, J., Sekar, V., & Zhang, H. (2012) · ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT) · doi:10.1145/2413176.2413189 · Cited by 694
A real-time interactive multi-view video system
Lou, J., Cai, H., & Jiang, L. (2005) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1101149.1101173 · Cited by 142
Xie, X., Zhang, X., Kumar, S., & Li, L. E. (2015) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/2789168.2790118 · Cited by 134
A scheduling framework for adaptive video delivery over cellular networks
Chen, J., Mahindra, R., Khojastepour, M. A., Rangarajan, S., & Chiang, M. (2013) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/2500423.2500433 · Cited by 127
Donahoo Michael, J., & Calvert, K. L. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374540-8.00009-2 · Cited by 119
Using crowd-sourced viewing statistics to save energy in wireless video streaming
Hoque, M. A., Siekkinen, M., & Nurminen, J. K. (2013) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/2500423.2500427 · Cited by 69
An End-to-End Measurement Study of Modern Cellular Data Networks
Xu, Y., Wang, Z., Leong, W. K., & Leong, B. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-04918-2_4 · Cited by 49
Your reactions suggest you liked the movie
Bao, X., Fan, S., Varshavsky, A., Li, K., & Choudhury, R. R. (2013) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2493432.2493440 · Cited by 35
Fast generation of dynamic and multi-resolution 360° panorama from video sequences
Zhu, Z., Xu, G., Riseman, E. M., & Hanson, A. R. (2003) · IEEE International Conference on Multimedia Computing and Systems (ICMCS) · doi:10.1109/mmcs.1999.779237 · Cited by 34
Coding and replication co-design for interactive multiview video streaming
Huang, H., Zhang, B., Chan, S.-H. G., Cheung, G., & Pascal Frossard, B. (2012) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2012.6195701 · Cited by 20
Research works printed but not linked: 1
- M. Belshe , R. Peon , and M. Thomson . Hypertext Transfer Protocol Version 2 (HTTP/2). RFC 7540 , 2015 . M. Belshe, R. Peon, and M. Thomson. Hypertext Transfer Protocol Version 2 (HTTP/2). RFC 7540, 2015.
Cited by
Sorted by citations
Toward Low-Latency and Ultra-Reliable Virtual Reality
Elbamby, M. S., Perfecto, C., Bennis, M., & Doppler, K. (2018) · IEEE Network · doi:10.1109/mnet.2018.1700268 · Cited by 565
Edge Assisted Real-time Object Detection for Mobile Augmented Reality
Liu, L., Li, H., & Gruteser, M. (2019) · The 25th Annual International Conference on Mobile Computing and Networking · doi:10.1145/3300061.3300116 · Cited by 552
Viewport-adaptive navigable 360-degree video delivery
Corbillon, X., Simon, G., Devlic, A., & Chakareski, J. (2017) · 2017 IEEE International Conference on Communications (ICC) · doi:10.1109/icc.2017.7996611 · Cited by 341
Qian, F., Han, B., Xiao, Q., & Gopalakrishnan, V. (2018) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/3241539.3241565 · Cited by 286
Self-citation360-Degree Video Head Movement Dataset
Corbillon, X., Francesca, D. S., & Simon, G. (2017) · ACM Multimedia Systems Conference (MMSys) · doi:10.1145/3083187.3083215 · Cited by 285
Metadata
- Authors
- Qian, F., Ji, L., Han, B., & Gopalakrishnan, V.
- Affiliations
- Indiana University (US)
- AT&T (United States) (US)
- Venue
- Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges
- Publisher
- ACM
- Published
- 2016-10-03
- Pages
- 1-6
- OpenAlex
- W2523094016
- Cited by
- 402
- References
- 15
- Citations by year
- 2026: 11 · 2025: 20 · 2024: 23 · 2023: 28 · 2022: 41 · 2021: 41 · 2020: 60 · 2019: 71 · 2018: 64 · 2017: 41 · 2016: 2
- FWCI
- 20.59
- Type
- conference paper
- Language
- en
- Open access
- closed
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
- Physical Sciences › Computer Science › Computer Networks and Communications › Caching and Content Delivery
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
- Keywords
- 360-degree video, video streaming, cellular networks, bandwidth reduction, virtual reality, measurement study
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