1997
@article{SmC1997b,
vgclass = {refpap},
vgproject = {cbir},
author = {John R. Smith and Shih-Fu Chang},
title = {Visually Searching the Web for Content},
journal = {IEEE Multimedia Magazine},
volume = {4},
number = {3},
pages = {12--20},
month = {summer},
year = {1997},
url = {ftp://ftp.ctr.columbia.edu/CTR-Research/advent/public/papers/96/smith96e.ps},
abstract = {We describe a prototype visual information system for
searching for images and v ideos on the World�Wide Web. New visual
information in the form of images, graphics, animations and vide os is
being published on the Web at an incredible rate. However, cataloging
this visual data is beyond the ca pabilities of current text�based Web
search engines. The key to cataloging it is the marriage of text�based
proce ssing and content�based visual analysis of the images and videos.
In this paper, we describe a complete system by which visual
information on the Web is (1) collected by automated agents, (2)
processed in both text and visual feature domains, (3) catalogued and
(4) indexed for fast search and retrieval. We introduce an image and
video search engine which utilizes both text�based navigation and
content�based technology for searching v isually through the catalogued
images and videos. Finally, we provide an initial evaluation based upon
the cata loging of over one half million images and videos collected
from the Web.},
}