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

Maher Ben Moussa, Marco Pasch, Djoerd Hiemstra, Paul van der Vet, Theo Huibers

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

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.
Original languageEnglish
Title of host publicationAdaptive Multimedia Retrieval
Subtitle of host publicationUser, Context and Feedback
EditorsStephane Marchand-Maillet, Eric Bruno, Andreas Nürnberger, Marcin Detyniecki
Place of PublicationLondon
PublisherSpringer
Pages258-268
Number of pages11
ISBN (Electronic)978-3-540-71545-0
ISBN (Print)978-3-540-71544-3
DOIs
Publication statusPublished - 2007
Event4th International Workshop on Adaptive Multimedia Retrieval: User, Context and Feedback, AMR 2006 - Geneva, Switzerland
Duration: 27 Jul 200628 Jul 2006
Conference number: 4

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume4398
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Workshop

Workshop4th International Workshop on Adaptive Multimedia Retrieval: User, Context and Feedback, AMR 2006
Abbreviated titleAMR
CountrySwitzerland
CityGeneva
Period27/07/0628/07/06

Keywords

  • HMI-MR: MULTIMEDIA RETRIEVAL
  • Iterative user feedback
  • Information Retrieval
  • Image retrieval
  • Medical image retrieval

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