1997
@inproceedings{SmC1997a,
vgclass = {refpap},
vgproject = {cbir},
author = {John R. Smith and Shih-Fu Chang},
title = {Querying by color regions using the \emph{{V}isual{SEE}k} content-based visual query system},
editor = {M. T. Maybury},
booktitle = {Proceedings of the IJCAI Workshop on Intelligent Multimedia Information Retrieval},
year = {1997},
url = {ftp://ftp.ctr.columbia.edu/CTR-Research/advent/public/papers/96/smith96d.ps.gz},
abstract = {VisualSEEk is a highly functional image database
manipulation system that provides advanced tools for searching,
browsing and retrieving images. VisualSEEk is distinct from other
content-based image query systems in that the user may query for images
using both the visual properties of regions and their spatial layout.
Furthermore, the image analysis for region extraction is fully
automated. VisualSEEk uses a novel system for region extraction and
representation based upon color sets. Through a process of color set
back-projection, the system automatically extracts salient color
regions from images. This paper describes the implementation of the
color query system and examines its role for content-based visual query
in image and video databases. The next phase of the VisualSEEk
implementation will provide additional tools for querying by texture,
shape, embedded text and motion features.},
}