In this paper we address the problem of classifying images, by exploiting global features that describe color and illumination properties, and by using the statistical learning pa...
We present a robust method for time-frequency model estimation. It involves a robust Leclerc's estimator to ensure robustness w.r.t. noise and interferences present in timefr...
Ronan Fablet, Abdessalam Benzinou, Christian Donca...
We discuss a novel statistical framework for image segmentation based on nonparametric clustering. By employing the mean shift procedure for analysis, image regions are identified...
In this work, we study the extraction of semantic objects from still images. We combine different ideas to extract them in a structured manner together with a perceptual metric th...
An error-resilient coding scheme is proposed for the transmission of images over unreliable channels. Forward Error Correction is used in conjunction with the error-resilient sour...
Nikolaos Thomos, Nikolaos V. Boulgouris, Michael G...