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,...
Content-based image retrieval is a fairly new discipline. Yet research in this field has highlighted many approaches that show good performance in specific subproblems using singl...
Maria Grazia Albanesi, Marco Ferretti, Alessandro ...
Abstract. Nowadays, multimedia documents composed of text and images are increasingly used, thanks to the Internet and the increasing capacity of data storage. It is more and more ...
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
This paper conducts an empirical evaluation of MPEG-7 visual part of experimentation model (XM) color descriptors in a challenging problem of content-based retrieval of semantic i...