Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
In this paper, we presentan approach to clustering images for efficient retrieval using relative entropy. We start with the assumption that visual features are represented by prob...
The modeling of the human visual attention into a computational attention model leads to the split of visual features into several independent channels. Then, a difficult problem ...
Christel Chamaret, Jean-Claude Chevet, Olivier Le ...
Medical visual information retrieval has been a very active research area over the past ten years as an increasing amount of images is produced digitally and made available in the ...
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...