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.

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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About

• Item ORO ID
• 23839
• Item Type
• Conference or Workshop Item
• Keywords
• user interaction; relevance feedback; content-based image retrieval
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
  Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
• Copyright Holders
• © 2009 Springer-Verlag
• Depositing User
• Colin Smith