Renjie Ding
ABSTRACT
Edge caching is a proven method to improve the quality of tile-based 360 video streaming services and ensure the user’s viewing experience. However, traditional caching solutions rarely explore 360 video content and users’ behavioral habits, and most of the research focus on modeling and simulation rather than practical deployment and evaluation within the applicable system. In this paper, we explore a region of interest (ROI) by analyzing the dataset about user behaviours from multiple perspectives and improving the spherical DBSCAN algorithm to capture more accurate ROI features. After this, we propose an entropy-weighted cache prioritization strategy based on ROI using the spatial relationship between ROI features and video tiles under CMP projection. To implement the caching strategy, we designed the framework of 360 video transmission based on ROI caching. Under real networks, the proposed ROI-based caching method’s hit ratio can be improved by 57.10 and 13.22 compared with randomCache and greedyCache, respectively. The improvement of delivery delay could reach up to 57.09 and 47.75. At the same time, the transmission delay and response delay can be reduced to nearly 10ms and 30ms, thus effectively ensuring the user’s viewing experience.
- [n. d.]. Introducing Meta: A Social Technology Company. https://about.fb.com/news/2021/10/facebook-company-is-now-meta/, since October 28, 2021.Google Scholar
- Yixuan Ban, Lan Xie, Zhimin Xu, Xinggong Zhang, Zongming Guo, and Yue Wang. 2018. Cub360: Exploiting cross-users behaviors for viewport prediction in 360 video adaptive streaming. In 2018 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 1–6.Google ScholarCross Ref
- Xavier Corbillon, Francesca De Simone, and Gwendal Simon. 2017. 360-degree video head movement dataset. In Proceedings of the 8th ACM on Multimedia Systems Conference. 199–204.Google ScholarDigital Library
- Mohammed S Elbamby, Cristina Perfecto, Mehdi Bennis, and Klaus Doppler. 2018. Edge computing meets millimeter-wave enabled VR: Paving the way to cutting the cord. In 2018 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 1–6.Google ScholarDigital Library
- Ramin Ghaznavi-Youvalari, Alireza Zare, Alireza Aminlou, Miska M Hannuksela, and Moncef Gabbouj. 2018. Shared coded picture technique for tile-based viewport-adaptive streaming of omnidirectional video. IEEE Transactions on Circuits and Systems for Video Technology 29, 10 (2018), 3106–3120.Google ScholarCross Ref
- Jian-Liang Lin, Ya-Hsuan Lee, Cheng-Hsuan Shih, Sheng-Yen Lin, Hung-Chih Lin, Shen-Kai Chang, Peng Wang, Lin Liu, and Chi-Cheng Ju. 2019. Efficient projection and coding tools for 360 video. IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9, 1 (2019), 84–97.Google ScholarCross Ref
- Anahita Mahzari, Afshin Taghavi Nasrabadi, Aliehsan Samiei, and Ravi Prakash. 2018. Fov-aware edge caching for adaptive 360 video streaming. In Proceedings of the 26th ACM international conference on Multimedia. 173–181.Google ScholarDigital Library
- Georgios Papaioannou and Iordanis Koutsopoulos. 2019. Tile-based caching optimization for 360 videos. In Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing. 171–180.Google ScholarDigital Library
- Stefano Petrangeli, Gwendal Simon, and Viswanathan Swaminathan. 2018. Trajectory-based viewport prediction for 360-degree virtual reality videos. In 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR). IEEE, 157–160.Google ScholarCross Ref
- Stefano Petrangeli, Gwendal Simon, and Viswanathan Swaminathan. 2018. Trajectory-based viewport prediction for 360-degree virtual reality videos. In 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR). IEEE, 157–160.Google ScholarCross Ref
- Silvia Rossi, Francesca De Simone, Pascal Frossard, and Laura Toni. 2019. Spherical clustering of users navigating 360 content. In ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 4020–4024.Google ScholarCross Ref
- Chenglei Wu, Zhihao Tan, Zhi Wang, and Shiqiang Yang. 2017. A dataset for exploring user behaviors in VR spherical video streaming. In Proceedings of the 8th ACM on Multimedia Systems Conference. 193–198.Google ScholarDigital Library
- Yan Ye and Jill Boyce. 2018. Algorithm descriptions of projection format conversion and video quality metrics in 360Lib Version 7. In 11th JVET Meeting of ITU-T SG, Vol. 16.Google Scholar
Index Terms
- 360 ROI EXPLORATION: REGION OF INTEREST EXPLORATION FOR CACHING IN VR PANORAMIC VIDEO TRANSMISSION
Recommendations
FoV-Aware Edge Caching for Adaptive 360° Video Streaming
MM '18: Proceedings of the 26th ACM international conference on MultimediaIn recent years, there has been growing popularity of Virtual Reality (VR), enabled by technologies like 360° video streaming. Streaming 360° video is extremely challenging due to high bandwidth and low latency requirements. Some VR solutions employ ...
Rough representation of a region of interest in medical images
This paper introduces the rough representation of a region of interest (ROI) in medical images. The main advantage of this method is its ability to represent inconsistency between the knowledge-driven shape and image-driven shape of a ROI using rough ...
Fast pedestrian detection based on region of interest and multi-block local binary pattern descriptors
Display Omitted We introduced a new ROI method, it decreases computational cost and improve detection speed.We improved the images edges within the candidate region using non-tensor product wavelet filter.We used full-body descriptor based on shapelet ...
Comments