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

doi:10.1007/978-3-540-71545-0_20

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

Databases (Former)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

9 Downloads (Pure)

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 language	English
Title of host publication	Adaptive Multimedia Retrieval
Subtitle of host publication	User, Context and Feedback
Editors	Stephane Marchand-Maillet, Eric Bruno, Andreas Nürnberger, Marcin Detyniecki
Place of Publication	London
Publisher	Springer
Pages	258-268
Number of pages	11
ISBN (Electronic)	978-3-540-71545-0
ISBN (Print)	978-3-540-71544-3
DOIs	https://doi.org/10.1007/978-3-540-71545-0_20
Publication status	Published - 2007
Event	4th International Workshop on Adaptive Multimedia Retrieval: User, Context and Feedback, AMR 2006 - Geneva, Switzerland Duration: 27 Jul 2006 → 28 Jul 2006 Conference number: 4

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	4398
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	4th International Workshop on Adaptive Multimedia Retrieval: User, Context and Feedback, AMR 2006
Abbreviated title	AMR
Country/Territory	Switzerland
City	Geneva
Period	27/07/06 → 28/07/06

Keywords

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

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10.1007/978-3-540-71545-0_20

Cite this

Ben Moussa, M., Pasch, M., Hiemstra, D., van der Vet, P., & Huibers, T. (2007). The Potential of User Feedback Through the Iterative Refining of Queries in an Image Retrieval System. In S. Marchand-Maillet, E. Bruno, A. Nürnberger, & M. Detyniecki (Eds.), Adaptive Multimedia Retrieval: User, Context and Feedback (pp. 258-268). Article 10.1007/978-3-540-71545-0_20 (Lecture Notes in Computer Science; Vol. 4398). Springer. https://doi.org/10.1007/978-3-540-71545-0_20

Ben Moussa, Maher ; Pasch, Marco ; Hiemstra, Djoerd et al. / The Potential of User Feedback Through the Iterative Refining of Queries in an Image Retrieval System. Adaptive Multimedia Retrieval: User, Context and Feedback. editor / Stephane Marchand-Maillet ; Eric Bruno ; Andreas Nürnberger ; Marcin Detyniecki. London : Springer, 2007. pp. 258-268 (Lecture Notes in Computer Science).

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title = "The Potential of User Feedback Through the Iterative Refining of Queries in an Image Retrieval System",

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{\textquoteright}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.",

keywords = "HMI-MR: MULTIMEDIA RETRIEVAL, Iterative user feedback, Information Retrieval, Image retrieval, Medical image retrieval",

author = "{Ben Moussa}, Maher and Marco Pasch and Djoerd Hiemstra and {van der Vet}, Paul and Theo Huibers",

year = "2007",

doi = "10.1007/978-3-540-71545-0_20",

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series = "Lecture Notes in Computer Science",

publisher = "Springer",

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editor = "Stephane Marchand-Maillet and Eric Bruno and Andreas N{\"u}rnberger and Marcin Detyniecki",

booktitle = "Adaptive Multimedia Retrieval",

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note = "4th International Workshop on Adaptive Multimedia Retrieval: User, Context and Feedback, AMR 2006, AMR ; Conference date: 27-07-2006 Through 28-07-2006",

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Ben Moussa, M, Pasch, M, Hiemstra, D, van der Vet, P & Huibers, T 2007, The Potential of User Feedback Through the Iterative Refining of Queries in an Image Retrieval System. in S Marchand-Maillet, E Bruno, A Nürnberger & M Detyniecki (eds), Adaptive Multimedia Retrieval: User, Context and Feedback., 10.1007/978-3-540-71545-0_20, Lecture Notes in Computer Science, vol. 4398, Springer, London, pp. 258-268, 4th International Workshop on Adaptive Multimedia Retrieval: User, Context and Feedback, AMR 2006, Geneva, Switzerland, 27/07/06. https://doi.org/10.1007/978-3-540-71545-0_20

The Potential of User Feedback Through the Iterative Refining of Queries in an Image Retrieval System. / Ben Moussa, Maher; Pasch, Marco; Hiemstra, Djoerd et al.
Adaptive Multimedia Retrieval: User, Context and Feedback. ed. / Stephane Marchand-Maillet; Eric Bruno; Andreas Nürnberger; Marcin Detyniecki. London: Springer, 2007. p. 258-268 10.1007/978-3-540-71545-0_20 (Lecture Notes in Computer Science; Vol. 4398).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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.

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Ben Moussa M, Pasch M, Hiemstra D, van der Vet P, Huibers T. The Potential of User Feedback Through the Iterative Refining of Queries in an Image Retrieval System. In Marchand-Maillet S, Bruno E, Nürnberger A, Detyniecki M, editors, Adaptive Multimedia Retrieval: User, Context and Feedback. London: Springer. 2007. p. 258-268. 10.1007/978-3-540-71545-0_20. (Lecture Notes in Computer Science). doi: 10.1007/978-3-540-71545-0_20

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

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Keywords

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