Using Regions of Interest for Adaptive Image Retrieval
Authors
Michael Springmann, Heiko Schuldt
Type
In Proceedings
Date
2008/10
Appears in
Second International Workshop on Adaptive Information Retrieval (AIR 2008)
Location
London, UK
Abstract
Content-based image retrieval mainly follows a Query-by-Example approach and therefore requires well selected examples to start an initial search. This position paper describes how Regions of Interest (ROI) can be used to better adapt the system to the user's information needs. In particular, it highlights how novel input devices such as Interactive Paper or TabletPCs can be used to capture much more details about what the user is precisely looking for already at the time the query is defined or when relevance feedback is specified.
Staff members