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2009
Springer

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

9 years 1 months ago
A Four-Factor User Interaction Model for Content-Based Image Retrieval
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. Key words: User interaction, Relevance feedback, Content-based image retrieval
Haiming Liu 0002, Victoria S. Uren, Dawei Song, St
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where ICTIR
Authors Haiming Liu 0002, Victoria S. Uren, Dawei Song, Stefan M. Rüger
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