1997
@inproceedings{KSP1997,
vgclass = {refpap},
vgproject = {cbir},
author = {H. Kauniskangas and J. Sauvola and M. Pietk\"{a}inen and
D. Doermann},
title = {Content-Based Image Retrieval Using Composite Features},
booktitle = {The 10th Scandinavian Conference on Image Analysis},
address = {Lappeenranta, Finland},
pages = {35--42},
month = {June},
year = {1997},
abstract = {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.},
}