Sciweavers

Share
AMR
2006
Springer

The Potential of User Feedback Through the Iterative Refining of Queries in an Image Retrieval System

9 years 7 months ago
The Potential of User Feedback Through the Iterative Refining of Queries in an Image Retrieval System
Inaccurate or ambiguous expressions in queries lead to poor results in information retrieval. We assume that iterative user feedback can improve the quality of queries. To this end we developed a system for image retrieval that utilizes user feedback to refine the user's search query. This is done by a graphical user interface that returns categories of images and requires the user to choose between them in order to improve the initial query in terms of accuracy and unambiguousness. A user test showed that, although there was no improvement in search time or required search restarts, iterative user feedback can indeed improve the performance of an image retrieval system in terms of user satisfaction. 1 Motivation One problem of image retrieval is that users utilize inaccurate or ambiguous expressions in their queries. If a user has an image of a three story building in mind but just types in "house", the system will probably give results that satisfy the query but not th...
Maher Ben Moussa, Marco Pasch, Djoerd Hiemstra, Pa
Added 13 Oct 2010
Updated 13 Oct 2010
Type Conference
Year 2006
Where AMR
Authors Maher Ben Moussa, Marco Pasch, Djoerd Hiemstra, Paul E. van der Vet, Theo W. C. Huibers
Comments (0)
books