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Optimizing 360 video delivery over cellular networks

Authors:

Vijay GopalakrishnanAuthors Info & Claims

ATC '16: Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges

Pages 1 - 6

https://doi.org/10.1145/2980055.2980056

Published: 03 October 2016 Publication History

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.

References

[1]

2015 Speedtest results for U.S. ISPs and Mobile Networks. http://www.speedtest.net/awards/us.

[2]

Augmented/Virtual Reality revenue forecast revised to hit $120 billion by 2020. http://goo.gl/Lxf4Sy.

[3]

Facebook Surround 360. https://facebook360.fb.com/facebook-surround-360/.

[4]

Google Cardboard. https://vr.google.com/cardboard/index.html.

[5]

mitmproxy. https://mitmproxy.org/.

[6]

Next-generation video encoding techniques for 360 video and VR. https://goo.gl/DvYivQ.

[7]

OpenTrack: head tracking software. https://github.com/opentrack/opentrack.

[8]

Under the hood: Building 360 video. https://code.facebook.com/posts/1638767863078802.

[9]

YouTube Live encoder settings, bitrates and resolutions. https://support.google.com/youtube/answer/2853702.

[10]

YouTube live in 360 degrees encoder settings. https://support.google.com/youtube/answer/6396222.

[11]

X. Bao, S. Fan, A. Varshavsky, K. A. Li, and R. R. Choudhury. Your Reactions Suggest You Liked the Movie: Automatic Content Rating via Reaction Sensing. In UbiComp, 2013.

Digital Library

[12]

M. Belshe, R. Peon, and M. Thomson. Hypertext Transfer Protocol Version 2 (HTTP/2). RFC 7540, 2015.

[13]

J. Chen, R. Mahindra, M. A. Khojastepour, S. Rangarajan, and M. Chiang. A Scheduling Framework for Adaptive Video Delivery over Cellular Networks. In MobiCom, 2013.

Digital Library

[14]

M. A. Hoque, M. Siekkinen, and J. K. Nurminen. Using Crowd-Sourced Viewing Statistics to Save Energy in Wireless Video Streaming. In Mobicom, 2013.

Digital Library

[15]

H. Huang, B. Zhang, S.-H. G. Chan, G. Cheung, and P. Frossard. Coding and Replication Co-Design for Interactive Multiview Video Streaming. In INFOCOM, 2012.

[16]

J. Huang, F. Qian, A. Gerber, Z. M. Mao, S. Sen, and O. Spatscheck. A Close Examination of Performance and Power Characteristics of 4G LTE Networks. In Mobisys, 2012.

Digital Library

[17]

T.-Y. Huang, R. Johari, N. McKeown, M. Trunnell, and M. Watson. A Buffer-Based Approach to Rate Adaptation: Evidence from a Large Video Streaming Service. In SIGCOMM, 2014.

Digital Library

[18]

J. Jiang, V. Sekar, and H. Zhang. Improving Fairness, Efficiency, and Stability in HTTP-based Adaptive Video Streaming with FESTIVE. In CoNEXT, 2012.

Digital Library

[19]

J.-G. Lou, H. Cai, and J. Li. A real-time interactive multi-view video system. In ACM Multimedia, 2005.

Digital Library

[20]

R. Szeliski. Image Alignment and Stitching: A Tutorial. Technical Report MSR-TR-2004-92, Microsoft Research.

[21]

X. Xie, X. Zhang, S. Kumar, and L. E. Li. piStream: Physical Layer Informed Adaptive Video Streaming Over LTE. In MobiCom, 2015.

Digital Library

[22]

Y. Xu, Z. Wang, W. K. Leong, and B. Leong. An End-to-End Measurement Study of Modern Cellular Data Networks. In PAM, 2014.

Digital Library

[23]

X. Yin, A. Jindal, V. Sekar, and B. Sinopoli. A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP. In SIGCOMM, 2015.

Digital Library

[24]

Z. Zhu, G. Xu, E. M. Riseman, and A. R. Hanson. Fast generation of dynamic and multi-resolution 360° panorama from video sequences. In IEEE Intl. Conf. on Multimedia Computing and Systems, 1999.

Digital Library

Cited By

Mamakou IKarafotias GGkourdoglou GLoumos GKargas AVaroutas D(2024)Developing a Multitasking Augmented Reality Application for Theatrical and Cultural ContentHeritage10.3390/heritage70701697:7(3578-3596)Online publication date: 5-Jul-2024
https://doi.org/10.3390/heritage7070169
Viet Hung NThanh Lam TThanh Binh TMarshal AThu Huong T(2024)Efficient Deep Learning-Based Viewport Estimation for 360-Degree Video StreamingAdvances in Science, Technology and Engineering Systems Journal10.25046/aj0903059:3(49-61)Online publication date: May-2024
https://doi.org/10.25046/aj090305
Su WLi YChen HMa Z(2024)Compass: A Prefetching Framework with Viewport Patching for 360° Video StreamingProceedings of the 2024 SIGCOMM Workshop on Emerging Multimedia Systems10.1145/3672196.3673396(45-51)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3672196.3673396
Show More Cited By

Index Terms

Optimizing 360 video delivery over cellular networks
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Virtual reality
2. Networks
  1. Network protocols
    1. Application layer protocols
  2. Network types
    1. Mobile networks

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Published In

cover image ACM Other conferences

ATC '16: Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges

October 2016

51 pages

ISBN:9781450342490

DOI:10.1145/2980055

Conference Chairs:
Mahesh K. Marina
University of Edinburgh, UK
,
Ulas C. Kozat
Huawei R&D

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 October 2016

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MobiCom'16

MobiCom'16: The 22nd Annual International Conference on Mobile Computing and Networking

October 3 - 7, 2016

New York, New York City

Acceptance Rates

ATC '16 Paper Acceptance Rate 7 of 11 submissions, 64%;

Overall Acceptance Rate 24 of 51 submissions, 47%

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Cited By

Mamakou IKarafotias GGkourdoglou GLoumos GKargas AVaroutas D(2024)Developing a Multitasking Augmented Reality Application for Theatrical and Cultural ContentHeritage10.3390/heritage70701697:7(3578-3596)Online publication date: 5-Jul-2024
https://doi.org/10.3390/heritage7070169
Viet Hung NThanh Lam TThanh Binh TMarshal AThu Huong T(2024)Efficient Deep Learning-Based Viewport Estimation for 360-Degree Video StreamingAdvances in Science, Technology and Engineering Systems Journal10.25046/aj0903059:3(49-61)Online publication date: May-2024
https://doi.org/10.25046/aj090305
Su WLi YChen HMa Z(2024)Compass: A Prefetching Framework with Viewport Patching for 360° Video StreamingProceedings of the 2024 SIGCOMM Workshop on Emerging Multimedia Systems10.1145/3672196.3673396(45-51)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3672196.3673396
Huang XYin MXia ZXiao R(2024)VirtualNexus: Enhancing 360-Degree Video AR/VR Collaboration with Environment Cutouts and Virtual ReplicasProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676377(1-12)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676377
Xu MZhou YChen Y(2024)A Monte Carlo Tree Search-Based Routing Scheme With VR Video QoE Guarantees in SDNs2024 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC57260.2024.10570673(1-5)Online publication date: 21-Apr-2024
https://doi.org/10.1109/WCNC57260.2024.10570673
Chakareski JKhan M(2024)Live 360° Video Streaming to Heterogeneous Clients in 5G NetworksIEEE Transactions on Multimedia10.1109/TMM.2024.338291026(8860-8873)Online publication date: 2024
https://doi.org/10.1109/TMM.2024.3382910
Tan XWang SXu XZheng QYang JChen S(2024)DACOD360: Deadline-Aware Content Delivery for 360-Degree Video Streaming Over MEC NetworksIEEE Transactions on Multimedia10.1109/TMM.2023.332143926(4168-4182)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2023.3321439
Li ZZhong PHuang JGao FWang J(2024)Achieving QoE Fairness in Bitrate Allocation of 360° Video StreamingIEEE Transactions on Multimedia10.1109/TMM.2023.327728626(1169-1178)Online publication date: 2024
https://doi.org/10.1109/TMM.2023.3277286
Bi SChen HLi XWang SWu YQian L(2024)A Two-Stage Deep Reinforcement Learning Framework for MEC-Enabled Adaptive 360-Degree Video StreamingIEEE Transactions on Mobile Computing10.1109/TMC.2024.344320023:12(14313-14329)Online publication date: Dec-2024
https://doi.org/10.1109/TMC.2024.3443200
Wang YLi JLi ZShang SLiu Y(2024)Synergistic Temporal-Spatial User-Aware Viewport Prediction for Optimal Adaptive 360-Degree Video StreamingIEEE Transactions on Broadcasting10.1109/TBC.2024.337411970:2(453-467)Online publication date: Jun-2024
https://doi.org/10.1109/TBC.2024.3374119
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