1996
@article{CaO1996,
vgclass = {refpap},
vgproject = {cbir},
author = {Chad Carson and Virginia E. Ogle},
title = {Storage and Retrieval of Feature Data for a Very Large
Online Image Collection},
journal = {IEEE Computer Society Bulletin of the Technical Committee
on Data Engineering},
volume = {19},
number = {4},
pages = {19--27},
month = {December},
year = {1996},
abstract = {As network connectivity has continued its explosive growth
and as storage devices have become smaller, faster, and less expensive,
the number of online digitized images has increased rapidly. Successful
queries on large, heterogeneous image collections cannot rely on the
use of text matching alone. In this paper we describe how we use image
analysis in conjunction with an object relational database to provide
both textual and content-based queries on a very large collection of
digital images. We discuss the effects of feature computation,
retrieval speed, and development issues on our feature storage
strategy.},
}