A four-factor user interaction model for content-based image retrieval

Haiming Liu; Victoria Uren; Dawei Song; Stefan Rüger

doi:10.1007/978-3-642-04417-5

A four-factor user interaction model for content-based image retrieval

Haiming Liu, Victoria Uren, Dawei Song, Stefan Rüger

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques in most existing CBIR systems still lack satisfactory user interaction although some work has been done to improve the interaction as well as the search accuracy. In this paper, we propose a four-factor user interaction model and investigate its effects on CBIR by an empirical evaluation. Whilst the model was developed for our research purposes, we believe the model could be adapted to any content-based search system.

Original language	English
Title of host publication	Advances in information retrieval theory
Subtitle of host publication	second international conference on the theory of information retrieval, ICTIR 2009 Cambridge, UK, September 10-12, 2009 proceedings
Editors	Leif Azzopardi, Gabriella Kazai, Stephen Robertson, Stefan Rüger, Milad Shokouhi, Dawei Song, Emine Yilmaz
Place of Publication	Berlin (DE)
Publisher	Springer
Pages	297-304
Number of pages	8
Volume	5766
ISBN (Electronic)	978-3-642-04417-5
ISBN (Print)	978-3-642-04416-8
DOIs	https://doi.org/10.1007/978-3-642-04417-5
Publication status	Published - 2009
Event	2nd International Conference on the Theory of Information Retrieval - Cambridge, United Kingdom Duration: 10 Sept 2009 → 12 Sept 2009

Publication series

Name	Lecture notes in computer science
Publisher	Springer
Volume	5766
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on the Theory of Information Retrieval
Abbreviated title	ICTIR 2009
Country/Territory	United Kingdom
City	Cambridge
Period	10/09/09 → 12/09/09

Access to Document

10.1007/978-3-642-04417-5

Cite this

Liu, H., Uren, V., Song, D., & Rüger, S. (2009). A four-factor user interaction model for content-based image retrieval. In L. Azzopardi, G. Kazai, S. Robertson, S. Rüger, M. Shokouhi, D. Song, & E. Yilmaz (Eds.), Advances in information retrieval theory: second international conference on the theory of information retrieval, ICTIR 2009 Cambridge, UK, September 10-12, 2009 proceedings (Vol. 5766, pp. 297-304). (Lecture notes in computer science; Vol. 5766). Springer. https://doi.org/10.1007/978-3-642-04417-5

Liu, Haiming ; Uren, Victoria ; Song, Dawei et al. / A four-factor user interaction model for content-based image retrieval. Advances in information retrieval theory: second international conference on the theory of information retrieval, ICTIR 2009 Cambridge, UK, September 10-12, 2009 proceedings. editor / Leif Azzopardi ; Gabriella Kazai ; Stephen Robertson ; Stefan Rüger ; Milad Shokouhi ; Dawei Song ; Emine Yilmaz. Vol. 5766 Berlin (DE) : Springer, 2009. pp. 297-304 (Lecture notes in computer science).

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abstract = "In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques in most existing CBIR systems still lack satisfactory user interaction although some work has been done to improve the interaction as well as the search accuracy. In this paper, we propose a four-factor user interaction model and investigate its effects on CBIR by an empirical evaluation. Whilst the model was developed for our research purposes, we believe the model could be adapted to any content-based search system.",

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Liu, H, Uren, V, Song, D & Rüger, S 2009, A four-factor user interaction model for content-based image retrieval. in L Azzopardi, G Kazai, S Robertson, S Rüger, M Shokouhi, D Song & E Yilmaz (eds), Advances in information retrieval theory: second international conference on the theory of information retrieval, ICTIR 2009 Cambridge, UK, September 10-12, 2009 proceedings. vol. 5766, Lecture notes in computer science, vol. 5766, Springer, Berlin (DE), pp. 297-304, 2nd International Conference on the Theory of Information Retrieval, Cambridge, United Kingdom, 10/09/09. https://doi.org/10.1007/978-3-642-04417-5

A four-factor user interaction model for content-based image retrieval. / Liu, Haiming; Uren, Victoria; Song, Dawei et al.
Advances in information retrieval theory: second international conference on the theory of information retrieval, ICTIR 2009 Cambridge, UK, September 10-12, 2009 proceedings. ed. / Leif Azzopardi; Gabriella Kazai; Stephen Robertson; Stefan Rüger; Milad Shokouhi; Dawei Song; Emine Yilmaz. Vol. 5766 Berlin (DE): Springer, 2009. p. 297-304 (Lecture notes in computer science; Vol. 5766).

Research output: Chapter in Book/Published conference output › Conference publication

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AU - Song, Dawei

AU - Rüger, Stefan

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N2 - In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques in most existing CBIR systems still lack satisfactory user interaction although some work has been done to improve the interaction as well as the search accuracy. In this paper, we propose a four-factor user interaction model and investigate its effects on CBIR by an empirical evaluation. Whilst the model was developed for our research purposes, we believe the model could be adapted to any content-based search system.

AB - In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques in most existing CBIR systems still lack satisfactory user interaction although some work has been done to improve the interaction as well as the search accuracy. In this paper, we propose a four-factor user interaction model and investigate its effects on CBIR by an empirical evaluation. Whilst the model was developed for our research purposes, we believe the model could be adapted to any content-based search system.

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Liu H, Uren V, Song D, Rüger S. A four-factor user interaction model for content-based image retrieval. In Azzopardi L, Kazai G, Robertson S, Rüger S, Shokouhi M, Song D, Yilmaz E, editors, Advances in information retrieval theory: second international conference on the theory of information retrieval, ICTIR 2009 Cambridge, UK, September 10-12, 2009 proceedings. Vol. 5766. Berlin (DE): Springer. 2009. p. 297-304. (Lecture notes in computer science). doi: 10.1007/978-3-642-04417-5

A four-factor user interaction model for content-based image retrieval

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A four-factor user interaction model for content-based image retrieval

Abstract

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Supervising Doctoral Students

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