Cart (Loading....) | Create Account
Close category search window

Discrete-time self-similar systems and stable distributions: applications to VBR video modeling

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Narasimha, R. ; Electr. Eng. Dept., Rochester Inst. of Technol., NY, USA ; Rao, R.M.

This paper investigates the application of discrete-time statistically self-similar systems to modeling variable-bit rate (VBR) video traces. Potential application to classifying scenes in VBR video is explored. The work is motivated by the fact that while VBR video has been characterized as self-similar by various researchers, models based on self-similarity considerations have not been previously studied. This paper also shows that using heavy-tailed inputs these models can be used to match both the scene density time-series autocorrelation as well as its marginal distribution.

Published in:

Signal Processing Letters, IEEE  (Volume:10 ,  Issue: 3 )

Date of Publication:

March 2003

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.