1997
@inproceedings{MDM1997,
vgclass = {refpap},
vgproject = {cbir},
author = {W. Y. Ma and Yining Deng and B. S. Manjunath},
title = {Tools for texture- and color-based search of images},
editor = {Bernice E. Rogowitz and Thrasyvoulos N. Pappas},
booktitle = {Human Vision and Electronic Imaging II},
address = {San Jose, CA},
volume = {3016},
series = {SPIE Proceedings},
pages = {496--507},
month = {February},
year = {1997},
abstract = {Currently there are quite a few image retrieval systems
that use color and texture as features to search images. However, by
using global features these methods retrieve results that often do not
make much perceptual sense. It is necessary to constrain the feature
extraction within homogeneous regions, so that the relevant information
within these regions can be well represented. This paper describes our
recent work on developing an image segmentation algorithm which is
useful for processing large and diverse collections of image data. A
compact color feature representation which is more appropriate for
these segmented regions is also proposed. By using the color and
texture features and a region-based search, we achieve a very good
retrieval performance compared to the entire image search.},
}