Liu, Haiming, Uren, Victoria, Song, Dawei and Rüger, Stefan
A Four-Factor User Interaction Model for Content-Based Image Retrieval.
Advances in Information Retrieval Theory.
Lecture Notes in Computer Science, 5766
Springer Verlag, Berlin, Heidelberg, pp. 297-304.
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.
Uncontrolled Keywords (separate with ;):
Content-based image retrieval; Relevance feedback; User interaction