Soft query in image retrieval systems

Cyrus Shahabi; Yi-Shin Chen

doi:10.1117/12.373477

20 December 1999 Soft query in image retrieval systems

Cyrus Shahabi, Yi-Shin Chen

Proceedings Volume 3964, Internet Imaging; (1999) https://doi.org/10.1117/12.373477
Event: Electronic Imaging, 2000, San Jose, CA, United States

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.

Citation Download Citation

Cyrus Shahabi and Yi-Shin Chen "Soft query in image retrieval systems", Proc. SPIE 3964, Internet Imaging, (20 December 1999); https://doi.org/10.1117/12.373477

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available