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

On fuzzy clustering and content based access to networked video databases

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)
Joshi, A. ; Dept. of Comput. Sci., Missouri Univ., Columbia, MO, USA ; Auephanwiriyakul, S. ; Krishnapuram, R.

Video databases and video on demand represent an important application of the evolving global information infrastructure. However, video querying involves a lot of user interaction and feedback based query refinement, which can generate large traffic volumes on the network if full video segments are sent. To aid in efficient video browsing, search and retrieval across the network, we need to find good compact representations for long video sequences. Representative frames (Rframes) provide such a representation. Extant algorithms use scene change detection to segment video into shots and pick Rframes. However, scene change detection techniques fail badly in presence of gradual scene changes which are quite prevalent in most videos. We present another way of finding Rframes using fuzzy clustering without dealing with any scene change detection algorithms. Fuzzy clusters provide a more natural approach to this problem since membership of a frame in some particular scene is not binary. This allows us to handle gradual scene changes. We report on our approach, present preliminary experimental results, and discuss ongoing work

Published in:

Research Issues In Data Engineering, 1998. 'Continuous-Media Databases and Applications'. Proceedings., Eighth International Workshop on

Date of Conference:

23-24 Feb 1998

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.