By Topic

Analysis and Modelling of No-Reference Video Quality Assessment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yuan Tian ; Changchun Inst. of Opt., Chinese Acad. of Sci., Changchun ; Ming Zhu

Video processing system may introduce some amounts of distortions in the video signal. It is crucial to measure the video quality blindly for most image processing applications which could not obtain the original image. Different video quality assessment (VQA) methods are analysis in this paper. A state of art in the field of no-reference (NR) VQA is presented. Finally, an ideal NR VQA model is proposed.

Published in:

Computer and Automation Engineering, 2009. ICCAE '09. International Conference on

Date of Conference:

8-10 March 2009