A four-factor user interaction model for content-based image retrieval
http://data.open.ac.uk/oro/23839
is a Article , Academic article

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Dataset Open Research Online
At The 2nd International Conference on the Theory of Information Retrieval (ICTIR2009)
Date 2009
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Status Peer reviewed
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  • http://data.open.ac.uk/oro/document/11207
  • http://data.open.ac.uk/oro/document/18208
  • http://data.open.ac.uk/oro/document/24949
  • http://data.open.ac.uk/oro/document/6252
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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Label 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.
Title A four-factor user interaction model for content-based image retrieval