In this paper we present a novel system for content-based retrieval and classification of cultural relic images. First, the images are normalized to achieve rotation, translation a...
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...
Human emotions can provide an essential clue in searching images in an image database. The paper presents our approach to content based image retrieval systems which takes into acc...
Katarzyna Agnieszka Olkiewicz, Urszula Markowska-K...
There is considerable research in the field of content-based medical image retrieval; however, few of the current systems investigate the relationship between the radiologists’...
Robert Kim, Grace Dasovich, Runa Bhaumik, Richard ...
In this paper, we present a long term learning system for content based image retrieval over a network. Relevant feedback is used among different sessions to learn both the simila...