360 Video Streaming
Although 360 videos are becoming popular, streaming them over wireless networks is still challenging. A key reason for this problem is that a lot of the data downloaded is not seen by the viewer and is, therefore, wasted. In this project, we combine state-of-the-art computer vision techniques and bitrate adaptation algorithms to make streaming over wireless networks feasible. By integrating our technique with an off-the-shelf 360 video player, we show that significant data savings can be made without much loss of user Quality of Experience.
Papers Published
- TNSM 2021
- WACV 2021
- INFOCOM 2020
- IFIP Networking 2019
Collaborators Involved
- Sohee Kim Park, Stony Brook University
- Mallesham Dasari, Stony Brook University
- Zhibo Yang, Stony Brook University
- Samir R. Das, Stony Brook University
- Dimitris Samaras, Stony Brook University