Author
Kara, Burak, Akçay, Mehmet Necmettin, Beğen, Ali Cengiz, Ahsan, S., Curcio, I. D. D., Aksu, E. B.
Publication Date
2023-04-01
Publication Place
-
IEEE
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
1070-986X
Record ID
98de088b-f224-4c37-b7fc-f9d0d1904d2d
Library Location
Computer Science
Date
2023-04-01
Sample Text
Measuring quality accurately and quickly (preferably in real time) when streaming 360° videos is essential to enhance the user experience. Most quality-of-experience metrics have primarily used viewport quality as a simple surrogate for such experiences at a given time. While this baseline approach has been later augmented by some researchers using pupil and gaze tracking, head tracking has not been considered in enough detail. This article tackles whether head motions can influence the perception of 360° videos. Inspired by the latest research, this article conceptualizes a head-motion-aware metric for measuring viewport quality. A comparative study against existing head-motion-unaware metrics reveals sizeable differences. Motivated by this, we invite the community to research this topic further and substantiate the new metric's validity.
DOI
10.1109/MMUL.2022.3215089
Cilt
30
