Improving CBIR by modelling the search process: a Bayesian approach
Item Type:Conference Paper
Citation:S.P. Wilson and Georgios Stefanou `Improving CBIR by modelling the search process: a Bayesian approach? in Proceedings of the European Signal Processing Conference, Firenze, Italy, 2006, pp 1-4
IMPROVING CONTENT-BASED.pdf (published (author copy) non peer-reviewed) 196.3Kb
In this paper we look at a simple image retrieval with relevance feedback scenario where we model simple properties of the search process. A content-based image retrieval method based on Bayesian inference is proposed that infers these search properties, as well as providing relevant images, from relevance feedback data. The approach is evaluated by performing searches for categories of image that invoke different emotional reactions.
Author: WILSON, SIMON PAUL
Type of material:Conference Paper
Availability:Full text available