In order to improve the retrieval accuracy of content-based image retrieval systems, research
focus has been shifted from designing sophisticated low-level feature extraction algorithms …

Interests to accurately retrieve required images from databases of digital images are
growing day by day. Images are represented by certain features to facilitate accurate …

Data mining has been traditionally applied to well-structured data. With the explosion of
multimedia data methods—videos, audios, images, and Web pages, many researchers have …

In this paper an effective dynamic video summarisation algorithm is presented using audio-
visual features extracted from videos. Audio, colour and motion features are dynamically …

Content-based image retrieval (CBIR) research is currently faced with the so called
the'semantic gap'problem. CBIR researchers work at the near end of the gap, applying …

The goal of this paper is to describe an exploration system for large image databases in
order to help the user understand the database as a whole, discover hidden relationships …

An improved method, device and computer program product for enabling a system to learn,
categorize and search items such as images and video clips according to their semantic …

In this paper, we present two image clustering techniques to automatically group color
images that correlate with semantic concepts. This work goes towards satisfying the ever …

Image indexing and retrieval became an interesting field of research nowadays due to the
lack of advanced methodologies to index and retrieve images and to the existence of huge …

Ce travail de recherche entre dans le cadre des systèmes de recherche d'images par le
contenu, en particulier la recherche par la texture. Le but de ce travail est de permettre à …