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

Ontology-based digital photo annotation using multi-source information

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

7 Author(s)
Yanmei Chai ; Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing ; Xiaoyan Zhu ; Sen Zhou ; Yiting Bian
more authors

The number of digital photos in the personal computer is exploding. In an effective photo management system, photo annotation is the most challenging task. The current photo annotation and management systems suffer from two crucial problems. One is the expression of semantic knowledge; the other is the way of photo annotation. Aiming at the former problem, this paper proposes to utilize ontology to organize the domain knowledge and provide formal, explicit and conceptual annotation. Meanwhile, a dual-level semi-automatic annotation approach is also proposed to resolve the latter problem. The rough annotation layer provides preliminary annotation by automatically extracting some semantic concepts from photo titles/texts, time concepts from EXIF metadata, and photo classification concepts from the result of face detection algorithms. The accurate annotation layer provides more detailed annotation by allowing users to modify, delete and add the annotation information freely. An ontology based photo management system OntoAlbum is implemented in this paper. Experimental results show that the proposed approach is very effective and promising.

Published in:

Computational Intelligence for Measurement Systems and Applications, 2009. CIMSA '09. IEEE International Conference on

Date of Conference:

11-13 May 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.