By Topic

Content-based comparison of image collections via distance measuring of self-organised maps

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

1 Author(s)
Da Deng ; Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand

Content-based image retrieval techniques have been under intensively research, mainly on extracting effective low level visual features for indexing and enabling fast query of individual images by feature matching over the indexing structure. In this paper, we propose to extend the content-based approach towards the problem of multimedia collection profiling and comparison. Our method is to carry out visual feature clustering using self-organised maps, and then apply distance measures on the generated feature maps to evaluate their similarity. A modified Hausdorff distance is defined over the feature maps and further verified in an experiment using four image collections. Some preliminary results are presented with a comparison of different distance measures obtained from profiles generated by two feature schemes.

Published in:

Multimedia Modelling Conference, 2004. Proceedings. 10th International

Date of Conference:

5-7 Jan. 2004