1999
@inproceedings{MBM1999,
vgclass = {refpap},
vgproject = {cbir},
author = {Moghaddam, Baback and Biermann, Henning and Margaritis, Dimitris},
title = {Defining Image Content with Multiple Regions of Interest},
booktitle = {IEEE Workshop on Content-based Access of Image and Video
Libraries (CBAIVL'99)},
address = {Fort Collins, Colorado, USA},
pages = {89--93},
month = {June~22},
year = {1999},
url = {http://www.merl.com/reports/TR99-10/TR99-10.ps},
abstract = {With the proliferation of multimedia, the web and digital
imaging, there now exists a high demand for intelligent tools for image
management; most importantly indexing and retrieval -- commonly
referred to as ``query-by-image-content''. Existing systems often make
use of global attributes such as overall color distributions which
ignore the actual composition of the image in terms of internal
structures. In this paper we present an experimental image retrieval
system designed and based on the principle that it is the user who is
most qualified to specify the ``content'' in an image and not the
computer. Consequently, the user is asked to provide salient
``regions-of-interest'' (ROIs) and to specify the importance of their
relative spatial relationships in the query image. Our technique leads
to acceptable retrievals (equal if not better than global-based
searches) and provides an intuitive interface and more flexibility in
specifying image content.},
}