1996
@inproceedings{SmC1996a,
vgclass = {refpap},
vgproject = {cbir},
author = {John R. Smith and Shih-Fu Chang},
title = {Tools and techniques for color image retrieval},
booktitle = {Storage \& Retrieval for Image and Video Databases IV},
address = {San Jose, CA, USA},
volume = {2670},
series = {IS\&T/SPIE Proceedings},
pages = {426--437},
month = {March},
year = {1996},
url = {ftp://ftp.ctr.columbia.edu/CTR-Research/advent/public/papers/96/smith96b.ps.gz},
abstract = {The growth of digital image and video archives is
increasing the need for tools that effectively filter and efficiently
search through large amounts of visual data. Towards this goal we
propose a technique by which the color content of images and videos is
automatically extracted to form a class of meta-data that is easily
indexed. The color indexing algorithm uses the back-projection of
binary color sets to extract color regions from images. This technique
provides for both the automated extraction of regions and
representation of their color content. It overcomes some of the
problems with color histogram techniques such as high-dimensional
feature vectors, spatial localization, indexing and distance
computation. We present the binary color set back-projection technique
and discuss its implementation in the \emph{VisualSEEk} content-based
image/video retrieval system for the \emph{World Wide Web}. We also
evaluate the retrieval effectiveness of the color set back-projection
method and compare its performance to other color image retrieval
methods.},
}