1995
@inproceedings{VeK1995,
vgclass = {refpap},
vgproject = {cbir},
author = {Asha Vellaikal and C.-C. Jay Kuo},
title = {Content-based image retrieval using multiresolution
histogram representation},
editor = {C.-C. Jay Kuo},
booktitle = {Digital Image Storage and Archiving Systems},
address = {Philadelphia, PA, USA},
volume = {2606},
series = {SPIE Proceedings},
pages = {312--323},
month = {October},
year = {1995},
abstract = {We present two new approaches based on color histogram
indexing for content-based retrieval of image databases. Since the high
computational complexity has been one of the main barriers towards the
use of similarity measures such as histogram intersection in large
databases, we propose a hierarchical indexing scheme where
computationally efficient features are used to subset the image before
more sophisticated techniques are applied for precise retrieval. The
use of histograms at different color resolutions as filtering and
matching features in a hierarchical scheme is studied. In the second
approach, a multiresolution representation of the histogram using the
indices and signs of its largest wavelet coefficients is examined.
Excellent results have been observed using the latter method.},
}