Share Email Print
cover

Proceedings Paper

Soft query in image retrieval systems
Author(s): Cyrus Shahabi; Yi-Shin Chen
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We explore the use of soft computing and user defined classifications in multimedia database systems for content- based queries to obtain the members of a class is a fixed set. With multimedia databases, however, an object may belong to different classes with different probabilities. In addition, alternative users may classify objects differently due to subjectivity of human perception on multimedia objects. In order to remedy for this situation, we propose a unified model that captures both conventional techniques and soft memberships. We implemented the model by extending the traditional database query capabilities such that the result of a query depends on the user who submits the query. We compared our proposed system with conventional image retrieval systems and observed a significant margin of improvement in matching the user expectations.

Paper Details

Date Published: 20 December 1999
PDF: 12 pages
Proc. SPIE 3964, Internet Imaging, (20 December 1999); doi: 10.1117/12.373477
Show Author Affiliations
Cyrus Shahabi, Univ. of Southern California (United States)
Yi-Shin Chen, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 3964:
Internet Imaging
Giordano B. Beretta; Raimondo Schettini, Editor(s)

© SPIE. Terms of Use
Back to Top