A video quality assessment model based on the MPEG-7 descriptor

Masaharu Sato; Yuukou Horita

doi:10.1117/12.872282

24 January 2011 A video quality assessment model based on the MPEG-7 descriptor

Masaharu Sato, Yuukou Horita

Proceedings Volume 7867, Image Quality and System Performance VIII; 786711 (2011) https://doi.org/10.1117/12.872282
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

Our research is focused on examining the video quality assessment model based on the MPEG-7 descriptor. This model consists of two parts: "Frame Quality estimation processing" and "Video Quality estimation processing". The estimation of Video Quality in the proposed model uses five values (average value, worst value, best value, standard deviation and frame rate) from the estimation Frame Quality and the input video sequence. Two coding methods (WMV9 and H.264) are used to verify the proposed model's presumption accuracy. As a result, Video Quality estimation has a high presumption accuracy (correlation : 0.94, average error : 0.20, maximum error : 0.68 and outlier ratio : 0.23).

Citation Download Citation

Masaharu Sato and Yuukou Horita "A video quality assessment model based on the MPEG-7 descriptor", Proc. SPIE 7867, Image Quality and System Performance VIII, 786711 (24 January 2011); https://doi.org/10.1117/12.872282

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