1997
@inproceedings{STL1997,
vgclass = {refpap},
vgproject = {cbir},
author = {Stan Sclaroff and Leonid Taycher and La Cascia, Marco},
title = {Image{R}over: a Content-based Browser for the World Wide
Web},
booktitle = {IEEE Workshop on Content-Based Access of Image and Video
Libraries},
address = {San Juan, Puerto Rico},
pages = {2--9},
month = {June},
year = {1997},
abstract = {ImageRover is a search by image content navigation tool
for the world wide web. To gather images expediently, the system
utilizes a distributed fleet of WWW robots running on different
computers. The image robots gather information about the images they
find, computing the appropriate image decompositions and indices, and
store this extracted information in vector form for searches based on
image content. At search time, users can iteratively guide the search
through the extraction of relevant examples. Search performance is made
efficient through the use of an approximate, optimized k-d tree
algorithm. The system employs a novel relevance feedback algorithm that
selects the distance metrics appropriate for a particular query.},
}