Mixed variables modeling method to estimate network video quality

Hiroaki Ikeda; Takeshi Yoshida; Tomoko Kashima

doi:10.1117/12.510053

23 June 2003 Mixed variables modeling method to estimate network video quality

Hiroaki Ikeda, Takeshi Yoshida, Tomoko Kashima

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.510053
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

Abstract

This paper describes a model to estimate human subjective video quality scores based on a framework of double-ended with a full reference system or end-to-end network video systems where sending video and receiving videos are available. The model incorporates multi-dimensional and multi-variables all of which are objectively measurable. Its aim is to estimate subjective score in the difference mean opinion score between a reference video and corresponding degraded videos. The model is developed based on an application of the multivariable analysis and trained by a set of a priori known relationship between physically obtainable parameters and corresponding subjective score. The paper describes how the model incorporates a mathematical algorithm as an executable programme module, and in what degree the model can be applicable in order to account actual examples of video pairs for both training video set used and foreign video sets. Referring to an application of the developed model to a set of foreign videos, it reports the capability of the model to different quality range. In addition to the worked results, some issues for further study are highlighted.

Citation Download Citation

Hiroaki Ikeda, Takeshi Yoshida, and Tomoko Kashima "Mixed variables modeling method to estimate network video quality", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.510053

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