Video quality assessment using neural network based on multi-feature extraction

Susu Yao; Weisi Lin; Zhongkang Lu; EePing Ong; Xiao Kang Yang

doi:10.1117/12.510050

23 June 2003 Video quality assessment using neural network based on multi-feature extraction

Susu Yao, Weisi Lin, Zhongkang Lu, EePing Ong, Xiao Kang Yang

Author Affiliations +

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.510050
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

Abstract

In this paper, we propose a new video quality evaluation method based on multi-feature and radial basis function neural network. Multi-feature is extracted from a degraded image sequence and its reference sequence, including error energy, activity-masking and luminance-masking as well as blockiness and blurring features. Based on these factors we apply a radial basis function neural network as a classifier to give quality assessment scores. After training with the subjective mean opinion scores (MOS) data of VQEG test sequences, the neural network model can be used to evaluate video quality with good correlation performance in terms of accuracy and consistency measurements.

Citation Download Citation

Susu Yao, Weisi Lin, Zhongkang Lu, EePing Ong, and Xiao Kang Yang "Video quality assessment using neural network based on multi-feature extraction", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.510050

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