1998
@inproceedings{JKX1998,
vgclass = {refpap},
vgproject = {cbir},
author = {Jesse S. Jin and Ruth Kurniawati and Guangyu Xu and
Xuesheng Bai},
title = {Using Browsing to Improve Content-Based Image Retrieval},
editor = {C.-C. Jay Kuo and Shih-Fu Chang and Sethuraman
Panchanathan},
booktitle = {Multimedia Storage and Archiving Systems III (VV02)},
address = {Boston, Massachusetts, USA},
volume = {3527},
series = {SPIE Proceedings},
pages = {101--109},
month = {November},
year = {1998},
note = {(SPIE Symposium on Voice, Video and Data Communications)},
abstract = {Many content-based methods have been proposed to retrieve
images from multimedia databases, Current index structures, such as
R${}^*$-tree, SS-tree and SS${}^+$-tree, have a large overlapping area
among their nodes, especially at the high level of the indexing tree.
The overlapping area causes the search engine to compare a large
number of nodes and hence, it is very inefficient to retrieve at very
high levels of the index tree. We present a scheme to combine browsing
with retrieval in searching for images. The browser uses the
content-based index structure of image databases. It provides users
with a visual tool to narrow the search quickly to a small region and
to avoid a large number of comparisons. Combined with retrieval, it
produces a very efficient content-based retrieval method.},
}