A four-factor user interaction model for content-based image retrieval
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.Citation
Liu, 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.297-304Publisher
Springer-Verlag Berlin HeidelbergAdditional Links
http://dl.acm.org/citation.cfm?id=1612371Type
Conference papers, meetings and proceedingsLanguage
enISBN
9783642044168ae974a485f413a2113503eed53cd6c53
10.1007/978-3-642-04417-5_29