A novel no-reference objective stereoscopic video quality assessment method based on visual saliency analysis

Xinyan Yang; Wei Zhao; Long Ye; Qin Zhang

doi:10.1117/12.2281778

21 July 2017 A novel no-reference objective stereoscopic video quality assessment method based on visual saliency analysis

Xinyan Yang, Wei Zhao, Long Ye, Qin Zhang

Author Affiliations +

Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104203S (2017) https://doi.org/10.1117/12.2281778
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China

Abstract

This paper proposes a no-reference objective stereoscopic video quality assessment method with the motivation that making the effect of objective experiments close to that of subjective way. We believe that the image regions with different visual salient degree should not have the same weights when designing an assessment metric. Therefore, we firstly use GBVS algorithm to each frame pairs and separate both the left and right viewing images into the regions with strong, general and week saliency. Besides, local feature information like blockiness, zero-crossing and depth are extracted and combined with a mathematical model to calculate a quality assessment score. Regions with different salient degree are assigned with different weights in the mathematical model. Experiment results demonstrate the superiority of our method compared with the existed state-of-the-art no-reference objective Stereoscopic video quality assessment methods.

Citation Download Citation

Xinyan Yang, Wei Zhao, Long Ye, and Qin Zhang "A novel no-reference objective stereoscopic video quality assessment method based on visual saliency analysis ", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104203S (21 July 2017); https://doi.org/10.1117/12.2281778

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