Networked VR/AR/360-degree applications play a major role in the envisioned 5G Internet. Current 360-degree systems are inefficient in bandwidth utilization and data management leading to degradation in the user experience. The entire 360-degree view is fetched regardless of users’ head movement and direction. Improvement of 360-degree immersive video delivery requires a better understanding of the system, network, and client aspects.
We are looking to evaluate user head movement patterns in 360-degree video. In addition, we look to understand and predict not only which video quality to send to the user but also which direction (or tile) to send at every time step.
As part of the project, students will explore how network quality and head movement affect video delivery efficiency. In addition, they will evaluate how changes in video quality and mixing video quality affect user experience.
Experience with networks, webservers and video preferred. Coding languages required include C and Python.
If interested, please send a brief summary of your qualifications to Craig Gutterman ([email protected]).
Direct Supervisor: Craig Gutterman
Position Dates: 5/15/2018 - 8/10/2018
Hours per Week: 30
Paid Position: Yes
Positions Available: 2
Qualifications: Python, C
Eligibility: Freshman, Sophomore, Junior, Senior, Master's