LOPEZ , Stéphanie

One daunting challenge of Content Based Image Retrieval systems is the requirement of annotated databases. To limit the burden of annotation, this thesis proposes a system of image annotation based on gaze data. The purpose is to classify a small set of images according to a target category (binary classification) in order to classify a set of...

International audience

International audience

With the maturity of machine learning methods to provide satisfying Content-Based Image Retrieval systems (CBIR), research focus has recently turned back towards visual saliency analysis. The goal in these works is to extract even more efficient visual features than the existing ones. However, analyzing visual saliency is critically dependent...

Retrieving specific categories of images among billions ofimages usually requires an annotation step. Unfortunately,keywords-based techniques suffer from the semantic gap ex-isting between a semantic concept and its digital representa-tion. Content Based Image Retrieval (CBIR) systems tacklethis issue simply considering semantic proximities can...