In this paper, we present a new method for content based images retrieval. It relies on the
use of an image decomposition model based on PDE to split an image into two components …

An image and object search and retrieval algorithm is devised that combines color and
spatial information. Spatial characteristics are described in terms of Wiskott's jets …

Over the last decade, storage of non text-based data in databases has become an
increasingly important trend in information management. Image in particular, has been …

Due to the need to search large databases of images, image classifiers have been
developed to sort images not only by subject matter, but also into several more general …

Data mining, which is defined as the process of extracting previously unknown knowledge,
and detecting intersecting patterns from a massive set of data, has been a very active …

Two similarity measures to compare whole and parts of images are proposed. These
measures consider the color, shape and texture properties of image segments as well as …

An algorithm for segmentation of facial regions in video sequences is discussed in this
paper. The algorithm is mainly based upon skin selection and edge detection techniques …

This paper introduces an automatic video object extraction algorithm based on color
segmentation. The algorithm focuses on extracting human skin-tone regions in a video …

La thématique de ces travaux de thèse est la recherche d'images par le contenu et plus
précisément l'apport des méthodes bas niveau. Après avoir discuté des différentes …

A novel local structure based image retrieval (ALSBIR) approach is proposed in this thesis to
build a general framework for object/image retrieval. It performs speedy interpretation of …