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A Four-Factor User Interaction Model for Content-Based Image Retrieval

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Advances in Information Retrieval Theory (ICTIR 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5766))

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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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© 2009 Springer-Verlag Berlin Heidelberg

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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: Azzopardi, L., et al. Advances in Information Retrieval Theory. ICTIR 2009. Lecture Notes in Computer Science, vol 5766. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04417-5_29

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  • DOI: https://doi.org/10.1007/978-3-642-04417-5_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04416-8

  • Online ISBN: 978-3-642-04417-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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