Share Email Print

Proceedings Paper

Case for image querying through image spots
Author(s): Peter Bosch; Arjen P. de Vries; Niels Nes; Martin Kersten
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

We present an image spot query technique as an alternative for content-based image retrieval based on similarity over feature vectors. Image spots are selective parts of a query image designated by users as highly relevant for the desired answer set. Compared to traditional approaches, our technique allows users to search image databases for local characteristics rather than global features. When a user query is presented to our search engine, the engine does not impose any policy of its own on the answer set; it performs an exact match based on the query terms against the database. Semantic higher concepts such as weighing the relevance of query terms, is left to the user as a task while refining their query to reach the desired answer set. Given the hundreds of feature terms involved in query spots, refinement algorithms are to be encapsulated in separate applications, which act as an intermediary between our search engine and the users.

Paper Details

Date Published: 1 January 2001
PDF: 11 pages
Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); doi: 10.1117/12.410937
Show Author Affiliations
Peter Bosch, Ctr. voor Wiskunde en Informatica (Netherlands)
Arjen P. de Vries, Ctr. voor Wiskunde en Informatica (Netherlands)
Niels Nes, Ctr. voor Wiskunde en Informatica (Netherlands)
Martin Kersten, Ctr. voor Wiskunde en Informatica (Netherlands)

Published in SPIE Proceedings Vol. 4315:
Storage and Retrieval for Media Databases 2001
Minerva M. Yeung; Chung-Sheng Li; Rainer W. Lienhart, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?