This paper addresses the fundamental issues of visual content representation and similarity
matching in content-based image retrieval and image databases in general. Simply stated …

In this paper we propose to revisit the well-known autoregressive model (AR) as a texture
representation model. We consider the AR model with causal neighborhoods. First, we will …

This paper addresses the fundamental issue of similarity in image databases. A new
similarity model is introduced based on Gower's coefficient of similarity. This similarity model …

In this paper, we show how the use of multiple content representations and their fusion can
improve the performance of content-based image retrieval systems. We consider the case of …

This paper proposes an interpretation of the estimated parameters of the autoregressive
model, used to model texture content of images, that corresponds to human perception. First …

In this paper we propose to revisit the well-known autoregressive model (AR) as a texture
representation model. We consider the AR model with causal neighborhoods. First, we will …

We present an approach based on multiple representations and multiple queries to tackle
the problem of invariance in the framework of content-based image retrieval. We consider …

Image retrieval is becoming an important research area with many applications in various
fields, in particular in image and multimedia databases and digital libraries. In this paper, we …