Title

Semantic-Sensitive Classification for Large Image Library

Publication Type

Conference Proceeding Article

Publication Date

2005

Abstract

With advances in multimedia technology, image data with various formats is is becoming available at an explosive rate from various domain applications. How to efficiently organise and access them has been an extremely important issue and enjoying growing attention. In this paper, we present results from experimental studies investigating performance of image classification for a novel dimension reduction scheme with hybrid architecture. We demonstrate that not only can the method provide superior quality of classification accuracy with various machine learning based classifier but also substantially speed up training and categorisation process. Moreover, it is fairly robust against various kinds of visual distortions and noises.

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Management and Analytics

Publication

MMM 2005: Proceedings of the 11th International Multimedia Modelling Conference, 12-14 January, Melbourne, Australia (Poster Track)

First Page

340

Last Page

345

ISBN

9780769521640

Identifier

10.1109/MMMC.2005.66

Publisher

IEEE

City or Country

Melbourne, Australia

Additional URL

http://dx.doi.org/10.1109/MMMC.2005.66