Abstract
Recently, commercialization of 360° video streaming service and various studies are being conducted in a mobile environment. It also makes 360° video streaming service through a mobile cloud available. The mobile cloud can easily provide characteristics of the terminal and existing features of the cloud service, such as contents and service of the application, in the mobile environment. Using this function, it is applied to 360° video streaming services in mobile environment. Unlike the conventional filming method which only shows the angle that camera operator intended, 360° videos can display the direction desired by the viewer in real time by recording a view in every direction at the same time. By displaying the real-time 3D image information to the user, the viewer can have more realistic contents and interactive experience. 360° video typically has a resolution of 4 k or more, which causes network load in mobile streaming. The adaptive HTTP streaming service currently provides 360 resolution video streams in proportion to their bandwidth. However, this method is not responsible for the quality of the video. Therefore, we propose a high-quality video streaming method with low network load in mobile environment. 360 video is divided into FoV (field of view) and non-FoV, and the image is transmitted with high quality for FoV and low quality for non-FoV. In this paper, we propose a method of FoV on the background frame (FBF) differentiated from the existing Http adaptive streaming method. It is possible to view high resolution video in a mobile environment while maintaining a regular level of video quality even in a non-viewing area.
Similar content being viewed by others
References
Tan, J., Bai, G., & Shen, H. (2011). ECBRP: An efficient cluster-based routing protocol for real-time multimedia streaming in MANETs. Wireless Personal Communications, 61(2), 283–302.
Wang, Y., Chen, R., & Wang, D. C. (2015). A survey of mobile cloud computing applications: Perspectives and challenges. Wireless Personal Communications, 80(4), 1607–1623.
Sorial, W., Lynch, E., & Vincent, A. (1999). Joint transcoding of multiple MPEG video bitstreams. In Proceedings of the IEEE international symposium on circuits systems (pp. 251–254).
Jinwook, J., & Kyungko, J. (2016). High resolution 360 degree video generation system using multiple cameras. Journal of Korea Multimedia Society, 19(8), 1329–1336.
Hosseini, M., & Swaminathan, V. (2016). Adaptive 360 VR video streaming based on MPEG-DASH SRD. In IEEE international symposium on IEEE multimedia (ISM) (pp. 407–408).
Corbillon, X., Simon, G., Devlic, A., & Chakareski, J. (2017). Viewport-adaptive navigable 360-degree video delivery. In 2017 IEEE international conference on communications (ICC) (pp. 1–7). IEEE.
Liu, C., Bouazizi, I., & Gabbouj, M. (2011). Rate adaptation for adaptive HTTP streaming. In Proceedings of the second annual ACM conference on Multimedia systems (pp. 169–174).
Lai, C. F., Chao, H. C., Lai, Y. X., & Wan, J. (2013). Cloud-assisted real-time transrating for http live streaming. IEEE Wireless Communications, 20(3), 62–70.
Kim, H. S., et al. (2018). HLS-based 360 VR using spatial segmented adaptive streaming. In 2018 IEEE international conference on consumer electronics (ICCE). IEEE.
Sen, S., Dey, J. K., Kurose, J. F., Stankovic, J. A. & Towsley, D. (1997). Streaming CBR transmission of VBR stored video. In Proceedings of the SPIE symposium on voice video and data communications, Dallas, TX (pp. 26–36).
Apple. (2018). HLS authoring specification for apple devices. https://developer.apple.com/documentation/http_live_streaming/hls_authoring_specification_for_apple_devices.
Han, D., Han, J., Im, Y., Kwak, M., Kwon, T. & Choi, Y. (2013). MASERATI: Mobile adaptive streaming based on environmental and contextual information. In Proceedings of the 8th ACM international workshop on wireless network testbeds, experimental evaluation & characterization (pp. 33–40).
DVB—Digital Video Broadcasting, 2014. https://www.dvb.org/resources/public/scene/dvb-scene44.pdf.
Han, B., Zhang, X., Qi, Y., Gao, Y., & Tang, D. (2012). QoE model based optimization for streaming media service considering equipment and environment factors. Wireless Personal Communications, 66(3), 595–612.
Pitas, C. N., Fertis, A. G., & Panagopoulos, A. D. (2015). End-to-end multimedia quality estimation with robust optimization in real-world mobile computing networks. Wireless Personal Communications, 84(4), 2363–2383.
Vranjes, M., Rimac-Drlje, S., & Zagar, D. (2007). Objective video quality metrics. In 2007 IEEE ELMAR.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Cho, S., Kim, D., Kim, C. et al. 360-Degree Video Traffic Reduction Using Cloud Streaming in Mobile. Wireless Pers Commun 105, 635–654 (2019). https://doi.org/10.1007/s11277-018-5984-y
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-018-5984-y