A four-factor user interaction model for content-based image retrieval
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AbstractIn 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.
CitationLiu, H., Uren, V., Song, D. and Ruger, S. (2009) 'A Four-factor User Interaction Model for Content-Based Image Retrieval', ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory, pp.297-304
PublisherSpringer-Verlag Berlin Heidelberg
TypeConference papers, meetings and proceedings