Comparison of temporal pooling methods for estimating the quality of complex video sequences

Ann Marie Rohaly; Jiuhuai Lu; Norman R. Franzen; Mihir K. Ravel

doi:10.1117/12.348443

19 May 1999 Comparison of temporal pooling methods for estimating the quality of complex video sequences

Ann Marie Rohaly, Jiuhuai Lu, Norman R. Franzen, Mihir K. Ravel

Proceedings Volume 3644, Human Vision and Electronic Imaging IV; (1999) https://doi.org/10.1117/12.348443
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

Many models of image quality have been developed to predict the visibility of differences between pairs of still images. Various methods have been suggested for combining predictions generated for individual frames of a video sequence. To explore this issue, we have compared the objective quality predictions of three temporal pooling methods against viewer ratings of perceived video quality. The subjective data were obtained from a large group of viewers in an experiment performed by Cable Television Laboratories, Inc., that utilized extended-duration video sequences containing material of significant complexity. Objective quality measures obtained for each field of the sequences were pooled using three simple methods: histogram, Minkowski summation and exponentially-weighted Minkowski summation. The results demonstrated that, for sequence durations on the order of 1 min, the three pooling methods have similar ability to predict overall perceived video quality.

Citation Download Citation

Ann Marie Rohaly, Jiuhuai Lu, Norman R. Franzen, and Mihir K. Ravel "Comparison of temporal pooling methods for estimating the quality of complex video sequences", Proc. SPIE 3644, Human Vision and Electronic Imaging IV, (19 May 1999); https://doi.org/10.1117/12.348443

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

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