Zero shot prediction of video quality using intrinsic video statistics

Anish Mittal; Michele A. Saad; Alan C. Bovik

doi:10.1117/12.2036162

25 February 2014 Zero shot prediction of video quality using intrinsic video statistics

Anish Mittal; Michele A. Saad; Alan C. Bovik

Author Affiliations +

Proceedings Volume 9014, Human Vision and Electronic Imaging XIX; 90140R (2014) https://doi.org/10.1117/12.2036162
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

We propose a no reference (NR) video quality assessment (VQA) model. Recently, ‘completely blind’ still picture quality analyzers have been proposed that do not require any prior training on, or exposure to, distorted images or human opinions of them. We have been trying to bridge an important but difficult gap by creating a ‘completely blind’ VQA model. The principle of this new approach is founded on intrinsic statistical regularities that are observed in natural vidoes. This results in a video ‘quality analyzer’ that can predict the quality of distorted videos without any external knowledge about the pristine source, anticipated distortions or human judgments. Hence, the model is zero shot. Experimental results show that, even with such paucity of information, the new VQA algorithm performs better than the full reference (FR) quality measure PSNR on the LIVE VQA database. It is also fast and efficient. We envision that the proposed method is an important step towards making real time monitoring of ‘completely blind’ video quality feasible.

Citation Download Citation

Anish Mittal, Michele A. Saad, Alan C. Bovik, "Zero shot prediction of video quality using intrinsic video statistics", Proc. SPIE 9014, Human Vision and Electronic Imaging XIX, 90140R (25 February 2014); doi: 10.1117/12.2036162; https://doi.org/10.1117/12.2036162

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years