In this paper, an effective content-based visual image retrieval system is presented. This system consists of two main components: visual content extraction and indexing, and quer...
Abstract. This paper presents an interactive content-based image retrieval framework--uInteract, for delivering a novel four-factor user interaction model visually. The four-factor...
Haiming Liu 0002, Srdan Zagorac, Victoria S. Uren,...
The proliferation of content-based image retrieval techniques has highlighted the need to understand the relationship between image clustering based on low-Ievel imagefeatures and...
This paper presents a novel visual approach to evaluate, in a fast and effective way, the development of new image feature extraction techniques concerning content-based image ret...
We present an automated Image Annotation system called I-Tag which uses both visual and textual information of the images and recommends relevant tags for them. The automatic gene...