Many viewers are becoming curious about the surroundings of a camera when it has taken a video in a location interesting to the viewer. Because of this curiosity, video technology has been made to create 360-degree videos, in which a viewer can watch a video and interact with it to view the area surrounding the camera itself. Using a Facebook 360 Camera, high-level research is being done to learn which set of parameters given during the rendering process provides a better Quality of Experience (QoE) to the viewer. With better QoE, images in the video can be displayed more clearly and more accurately. During the research, different combinations of render settings are documented to keep track of which render settings have been used, and to keep documentation of which render settings have provided better video quality. Along with learning which combination of render settings provide better QoE, research will include the use of image quality metrics for comparisons of 360-degree video quality. These metrics are Peak Signal to Noise Ratio (PSNR) and Spherical PSNR (S-PSNR).
Aquino, Denisse and Loui, Alexander
"Rendering and Analysis of Omnidirectional Videos using a Facebook 360 Camera,"
Frameless: Vol. 2
, Article 11.
Available at: https://scholarworks.rit.edu/frameless/vol2/iss1/11