1997
@inproceedings{ORC1997,
vgclass = {refpap},
vgproject = {cbir},
author = {Michael Ortega and Yong Rui and Kaushik Chakrabarti and
Sharad Mehrotra and Thomas S. Huang},
title = {Supporting Similarity Queries in {MARS}},
booktitle = {Proceedings of The Fifth ACM International Multimedia Conference ({ACM} {M}ultimedia 97)},
address = {Seattle, WA, USA},
pages = {403--413},
month = {November~9--13},
year = {1997},
url = {http://www.research.microsoft.com/~yongrui/ps/acm97.ps.Z},
abstract = {To address the emerging needs of applications that require
access to and retrieval of multimedia objects, we are developing the
Multimedia Analysis and Retrieval System (MARS) in our group at the
University of Illinois [HMR96]. In this paper, we concentrate on the
retrieval subsystem of MARS and its support for content-based queries
over image databases. Content-based retrieval techniques have been
extensively studied for textual documents in the area of automatic
information retrieval [SM83,CCH92]. This paper describes how these
techniques can be adapted for ranked retrieval over image databases.
Specifically, we discuss the ranking and retrieval algorithms developed
in MARS based on the Boolean retrieval model and describe the results
of our experiments that demonstrate the effectiveness of the developed
model for image retrieval.},
}