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

Resource usage prediction for groups of dynamic image-processing tasks using Markov 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

3 Author(s)
Albers, R. ; Eindhoven Univ. of Technol., Eindhoven ; Suijs, E. ; de With, P.H.N.

With the introduction of dynamic image processing, such as in image analysis, the computational complexity has become data dependent and memory usage irregular. Therefore, the possibility of runtime estimation of resource usage would be highly attractive and would enable quality-of-service (QoS) control for dynamic image-processing applications with shared resources. A possible solution to this problem is to characterize the application execution using model descriptions of the resource usage. In this paper, we attempt to predict resource usage for groups of dynamic image-processing tasks based on Markov-chain modeling. As a typical application, we explore a medical imaging application to enhance a wire mesh tube (stent) under X-ray fluoroscopy imaging during angioplasty. Simulations show that Markov modeling can be successfully applied to describe the resource usage function even if the flow graph dynamically switches between groups of tasks. For the evaluated sequences, an average prediction accuracy of 97% is reached with sporadic excursions of the prediction error up to 20-30%.

Published in:

Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on

Date of Conference:

19-24 April 2009

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.