H. Kauniskangas, J. Sauvola, M. Pietkäinen and D. Doermann,
Content-Based Image Retrieval Using Composite Features,
In The 10th Scandinavian Conference on Image Analysis,
Lappeenranta, Finland, pp. 35-42, June 1997.
H. Kauniskangas, J. Sauvola, M. Pietkäinen and D. Doermann,
Content-Based Image Retrieval Using Composite Features,
In The 10th Scandinavian Conference on Image Analysis,
Lappeenranta, Finland, pp. 35-42, June 1997.In this paper, we demonstrate methods for content-based image retrieval problems using a specially designed retrieval architecture implemented within the `Intelligent Image Retrieval' system (IIR). The method consists of new image features in the retrieval context, including segmentation methods and use of image frames. They are combined in a unique way with color, texture, shape and localization information with a special data abstraction construction in a graphical user interface. The IIR system provides an efficient retrieval architecture utilizing a tailored query language, retrieval mechanisms and an object-oriented database enabling the use of complex data structures and relations needed for successful query processing. Functionality and performance of methods and architecture are illustrated with a series of tests using a database that consists of several hundred `scene' images.