Grants and Contributions:

Title:

New video quality detection and evaluation algorithms for ultra-high-definition video content based_x000D_ on signal processing and machine learning

Agreement Number:

EGP

Agreement Value:

$25,000.00

Agreement Date:

Mar 7, 2018 -

Organization:

Natural Sciences and Engineering Research Council of Canada

Location:

Ontario, CA

Reference Number:

GC-2017-Q4-01981

Agreement Type:

Grant

Report Type:

Grants and Contributions

Additional Information:

Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).

Recipient's Legal Name:

Zhang, Xiao-Ping (Ryerson University)

Program:

Engage Grants for universities

Program Purpose:

SSIMWAVE is a high tech company that provides cutting-edge objective video quality assessment (VQA)x000D
products for broadcasters, streamers, and content creators by modeling and measuring viewer experience atx000D
every stage of the digital video distribution system. We intend to develop a set of algorithms based on machinex000D
learning including deep learning and signal processing technologies to evaluate ultra-high-definition (UHD) 4Kx000D
video content quality. The outcome will not only provide a practical tools to discriminate the 4K videox000D
contents, but also potential provide a preliminary quality and experience evaluation of advantages of 4Kx000D
contents over existing lower resolution video content.