Giving order to image queries

Jonathon S. Hare; Patrick A. S. Sinclair; Paul H. Lewis; Kirk Martinez

doi:10.1117/12.767182

28 January 2008 Giving order to image queries

Jonathon S. Hare, Patrick A. S. Sinclair, Paul H. Lewis, Kirk Martinez

Proceedings Volume 6820, Multimedia Content Access: Algorithms and Systems II; 682005 (2008) https://doi.org/10.1117/12.767182
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

Users of image retrieval systems often find it frustrating that the image they are looking for is not ranked near the top of the results they are presented. This paper presents a computational approach for ranking keyworded images in order of relevance to a given keyword. Our approach uses machine learning to attempt to learn what visual features within an image are most related to the keywords, and then provide ranking based on similarity to a visual aggregate. To evaluate the technique, a Web 2.0 application has been developed to obtain a corpus of user-generated ranking information for a given image collection that can be used to evaluate the performance of the ranking algorithm.

Citation Download Citation

Jonathon S. Hare, Patrick A. S. Sinclair, Paul H. Lewis, and Kirk Martinez "Giving order to image queries", Proc. SPIE 6820, Multimedia Content Access: Algorithms and Systems II, 682005 (28 January 2008); https://doi.org/10.1117/12.767182

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