By Topic

A study of image retrieval by anchoring

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Natsev, A. ; IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA ; Smith, J.R.

Anchoring is a technique for representing objects by their distances to a few well chosen anchors, or vantage points. It can be used in content-based image retrieval for computing image similarity as a function of distances to a fixed set of representative images. Since the number of anchors is usually small, this leads to a reduced dimensionality for similarity searching, enables efficient indexing, and avoids potentially expensive similarity computations in the original feature domain, while guaranteeing lack of false dismissals. Anchoring is therefore surprisingly simple, yet effective, and flavors of it have seen application in speech recognition, audio classification, protein homology detection, and shape matching. In this paper, we describe the anchoring technique in some detail and study its properties, both from an empirical and an analytical standpoint. In particular, we investigate issues in baseline distance selection, anchor selection, and number of anchors. We compare different approaches and evaluate performance of different parameter settings. We also propose two new anchor selection heuristics which may overcome some of the drawbacks of the currently used greedy selection methods.

Published in:

Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on  (Volume:2 )

Date of Conference:

2002