10.25394/PGS.7784525.v1
Stephen A. Stamm
Stephen A.
Stamm
Assessing Image Quality Impact of View Bypass in Cloud Rendering
Purdue University Graduate School
2019
graphics
view bypass
cloud rendering
SSIM
WebRTC
Unity
video streaming
cloud gaming
mobile
Computer Communications Networks
Video Communications
2019-05-15 14:47:46
Thesis
https://hammer.purdue.edu/articles/thesis/Assessing_Image_Quality_Impact_of_View_Bypass_in_Cloud_Rendering/7784525
<p>The accessibility and flexibility of mobile devices make them
an advantageous platform for gaming, but there are hardware limitations that
impede the rendering of high-quality graphics. Rendering complex graphics on a
mobile device typically results in a delayed image, also known as latency, and is a great discomfort for users of any
real-time rendering experience. This study tests the image stream optimization
View Bypass within a cloud gaming architecture, surpassing this imposing
limitation by processing the high-quality game render on a remote computational
server. A two sample for
means test is performed to determine significance between two treatments:
the control group without the View Bypass algorithm and the experimental group
rendering with the View Bypass algorithm. A SSIM index score is calculated
comparing the disparity between the remote server image output and the final
mobile device image output after optimizations have been performed. This score
indicates the overall image structural integrity difference between the two
treatments and determines the quality and effectiveness of the tested
algorithm.</p>