Enhancing large image database indexing and retrieval performance through integrating database structure with image features
by Mohammad A. Al-Jarrah, Faruq A. Al-Omari
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 9, No. 1, 2010

Abstract: In this paper, a two-dimensional hash table structure based on image discriminator measure is proposed to design an image database indexing and retrieval system. Unlike many other techniques such as R-tree, FastMap, MetricMap and SparseMap where a false query result could happen, the results of a query of our proposed system can retrieve exactly same results as if we using full search for the query image in the image database. Henceforth, the designed system outperforms existing systems that are based on sequential search, OMNI-family and R-tree structures in terms of number of operations and precision.

Online publication date: Sat, 03-Jul-2010

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Systems Technologies and Applications (IJISTA):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com