No-reference jerkiness evaluation method for multimedia communications

M. Carli; D. Guida; A. Neri

doi:10.1117/12.644621

17 January 2006 No-reference jerkiness evaluation method for multimedia communications

M. Carli, D. Guida, A. Neri

Author Affiliations +

Proceedings Volume 6059, Image Quality and System Performance III; 605914 (2006) https://doi.org/10.1117/12.644621
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

In this contribution, we present an objective assessment method for the evaluation, without reference, of the degradation of the video quality induced by the reduction of the temporal resolution. The assessment of the jerkiness perceived by a human observer is performed by feeding a multilayer neural network with the statistical distributions of the kinematics data (speed, acceleration and jerk of objects on the image plane) evaluated on a video shot. To identify the neural network (architecture and parameters) that best fit the human behavior, a subjective experiment has been performed. Validation of the model on the test set indicate a good match between the Mean Opinion Score (MOS) and the jerkiness indicator computed by the neural network.

Citation Download Citation

M. Carli, D. Guida, and A. Neri "No-reference jerkiness evaluation method for multimedia communications", Proc. SPIE 6059, Image Quality and System Performance III, 605914 (17 January 2006); https://doi.org/10.1117/12.644621

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