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

Liu, Haiming; Uren, Victoria; Song, Dawei and Rüger, Stefan (2009). A four-factor user interaction model for content-based image retrieval. In: The 2nd International Conference on the Theory of Information Retrieval (ICTIR2009), 10-12 Sep 2009, Cambridge, UK.

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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.

Item Type: Conference Item
Copyright Holders: 2009 Springer-Verlag
Keywords: user interaction; relevance feedback; content-based image retrieval
Academic Unit/Department: Knowledge Media Institute
Mathematics, Computing and Technology > Computing & Communications
Mathematics, Computing and Technology
Item ID: 23839
Depositing User: Colin Smith
Date Deposited: 15 Oct 2010 14:14
Last Modified: 24 Feb 2016 14:51
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