2004
@article{DaR2004,
vgclass = {refpap},
vgproject = {cbir},
author = {M. Das and E. M. Riseman},
title = {{FOCUS}: A system for searching for multi-colored objects in
a diverse image database},
journal = {Computer Vision and Image Understanding (special issue on Colour for Image Indexing and Retrieval)},
volume = {94},
number = {1--3},
pages = {168--192},
month = {April/June},
year = {2004},
url = {http://dx.doi.org/10.1016/j.cviu.2003.10.018},
abstract = {We describe a new multi-phase, color-based image retrieval
system (FOCUS) which is capable of identifying multi-colored query
objects in an image in the presence of significant, interfering
backgrounds. The query object may occur in arbitrary sizes,
orientations, and locations in the database images. Scale and rotation
invariant color features have been developed to describe an image, such
that the matching process is fast even in the case of complex images.
The first phase of processing matches the query object color with the
color content of an image computed as the peaks in the color histogram
of the image. The second phase matches the spatial relationships
between color regions in the image with the query using a spatial
proximity graph (SPG) structure designed for the purpose. Processing at
coarse granularity is preferred over pixel-level processing to produce
simpler graphs, which significantly reduces computation time during
matching. The speed of the system and the small storage overhead make
it suitable for use in large databases with online user interfaces.
Test results with multi-colored query objects from man-made and natural
domains show that FOCUS is quite effective in handling interfering
backgrounds and large variations in scale. The experimental results on
a database of diverse images highlights the capabilities of the
system.},
}