| Citation: | LI Jie, FENG Ransheng, YANG Yangzhao, et al. QoE driven adaptation for VR video capturing and transmission[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(12): 2385-2392. doi: 10.13700/j.bh.1001-5965.2019.0364(in Chinese)
|
In virtual reality (VR) video streaming media transmission, how to further improve user's quality of experience (QoE) under bandwidth-constrained conditions is a huge challenge. In order to improve resource utilization rate and user QoE, a multi-user QoE-driven uplink and downlink joint VR video streaming media adaptive acquisition and transmission system is proposed, which is different from the traditional VR video wireless transmission system. The proposed system considers the uplink transmission part. The video server selects code rate and allocates resources based on the rate adaptation based on the bandwidth information of the uplink channel and the downlink channel and the real-time view information of the user. In addition, we define the problem of QoE-driven rate selection and resource allocation to maximize the QoE value of all users across the system. Finally, we propose an optimal adaptive rate selection algorithm combining the KKT condition and the branch and bound method. The experimental results show that the system can effectively improve the QoE value of the total system users, improve the system performance by 14.27% based on the average uplink allocation, and improve the performance of the VR video rate adaptive algorithm by 23.47%.
| [1] |
Cisco.Cisio visual networking index: Forecast and methodology 2016-2021[R].San Jose: Cisco, 2016.
|
| [2] |
ZHAO T, LIU Q, CHEN C W.QoE in video transmission:A user experience-driven strategy[J].IEEE Communications Surveys Tutorials, 2017, 19(1):285-302. doi: 10.1109/COMST.2016.2619982
|
| [3] |
LI J, FENG R S, LIU Z, et al.Modeling QoE of virtual reality video transmission over wireless networks[C]//Proceedings of the 2018 IEEE Global Communications Conference (GLOBECOM).Piscataway, NJ: IEEE Press, 2018: 1-7.
|
| [4] |
LIU C, KAN N, ZOU J, et al.Server-side rate adaptation for multi-user 360-degree video streaming[C]//Proceedings of the 25th IEEE International Conference on Image Processing(ICIP).Piscataway, NJ: IEEE, 2018: 3264-3268.
|
| [5] |
SODAGAR I.The MPEG-DASH standard for multimedia streaming over the internet[J].IEEE Multimedia, 2011, 18(4):62-67. doi: 10.1109/MMUL.2011.71
|
| [6] |
GUO C J, YING C, LIU Z.Optimal multicast of tiled 360 VR video[J].IEEE Wireless Communications Letters, 2019, 8(1):145-148. doi: 10.1109/LWC.2018.2864151
|
| [7] |
LIU Y, XU M, LI C, et al.A novel rate control scheme for panoramic video coding[C]//Proceedings of the 2017 IEEE International Conference on Multimedia and Expo(ICME).Piscataway, NJ: IEEE Press, 2017: 691-696. https://www.researchgate.net/publication/319569940_A_novel_rate_control_scheme_for_panoramic_video_coding
|
| [8] |
XU Z, BAN Y, ZHANG K, et al.Tile-based QoE-driven http/2 streaming system for 360 video[C]//Proceedings of the 2018 IEEE International Conference on Multimedia Expo Workshops(ICMEW).Piscataway, NJ: IEEE Press, 2018: 1-4. https://www.researchgate.net/publication/329317914_Tile-Based_Qoe-Driven_Http2_Streaming_System_For_360_Video
|
| [9] |
QIAN F, HAN B, XIAO Q, et al.Flare: Practical viewport-adaptive 360-degree video streaming for mobile devices[C]//Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (MobiCom).New York: ACM, 2018: 99-114.
|
| [10] |
CORBILLON X, DEVLIC A, SIMON G, et al.Optimal set of 360-degree videos for viewport-adaptive streaming[C]//Proceedings of the 25th ACM International Conference on Multimedia.New York: ACM, 2018: 943-951. https://www.researchgate.net/publication/320542094_Optimal_Set_of_360-Degree_Videos_for_Viewport-Adaptive_Streaming
|
| [11] |
GHOSH A, VANEET A, FENG Q.A rate adaptation algorithm for tile-based 360-degree video streaming[EB/OL].(2017-04-26)[2019-09-21].https://arxiv.org/abs/1704.08215.
|
| [12] |
XIE L, XU Z, BAN Y, et al.360ProbDASH: Improving QoE of 360 video streaming using tile-based HTTP adaptive streaming[C]//Proceedings of the 25th ACM International Conference on Multimedia.New York: ACM, 2017: 315-323.
|
| [13] |
HUNG Y, WANG C, HWANG R.Optimizing social welfare of live video streaming services in mobile edge computing[J/OL].IEEE Transactions on Mobile Computing(2019-02-26)[2019-09-21].https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8653413.
|
| [14] |
ZHANG L, SUN L, WANG W, et al.Unlocking the door to mobile social VR:Architecture, experiments and challenges[J].IEEE Network, 2018, 32(1):160-165. doi: 10.1109/MNET.2017.1700014
|
| [15] |
KIM H J, SON Y S, KIM J T.KKT-conditions based resource allocation algorithm for DASH streaming service over LTE[C]//2018 IEEE International Conference on Consumer Electronics(ICCE).Piscataway, NJ: IEEE Press, 2018: 1-3.
|
| [16] |
XU M, LI C, WANG Z L, et al.Visual quality assessment of panoramic video[EB/OL].(2019-01-15)[2019-07-01].https://arxiv.org/abs/1709.06342v1.
|
Figures(7) / Tables(2)
Copyright © Journal of Beijing University of Aeronautics and Astronautics
Address: Editorial Department of Journal of Beijing University of Aeronautics and Astronautics, 37 Xueyuan Road, Haidian District, Beijing Post Code: 100191 Email: jbuaa@buaa.edu.cn
Supported by:
Beijing Renhe Information Technology Co., Ltd.
DownLoad:
