Hichem Sahli

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This paper presents our system design for the Audio-Visual Emotion Challenge ($AV^{+}EC$ 2015). Besides the baseline features, we extract from audio the functionals on low-level descriptors (LLDs) obtained via the YAAFE toolbox, and from video the Local Phase Quantization from Three Orthogonal Planes (LPQ-TOP) features. From the physiological signals, we(More)
We describe a model-based method for the automatic extraction of linear features, like roads and paths, from aerial images. The paper combines and extends two earlier approaches for road detection in SAR satellite images, and presents the modi cations needed for the application domain of airborne image analysis, together with representative results.
We propose a new classification method for vector-valued images, based on (i) a causal Markovian model, defined on the hierarchy of a multiscale region adjacency tree (MRAT), and (ii) a set of non-parametric dissimilarity measures that express the data likelihoods. The image classification is treated as a hierarchical labeling of the MRAT, using a finite(More)
In this paper, we address the problem of the detection and identification of surface-laid and shallowly buried landmines from measured infrared images. A three-dimensional thermal model has been developed to study the effect of the presence of landmines in the thermal signature of the bare soil. Based on this model, a target identification procedure is(More)
We present a new framework for the hierarchical segmentation of color images. The proposed scheme comprises a nonlinear scale-space with vector-valued gradient watersheds. Our aim is to produce a meaningful hierarchy among the objects in the image using three image components of distinct perceptual significance for a human observer, namely strong edges,(More)
Conversational systems play an important role in scenarios without a keyboard, e.g., talking to a robot. Communication in human-robot interaction (HRI) ultimately involves a combination of verbal and non-verbal inputs and outputs. HRI systems must process verbal and non-verbal observations and execute verbal and non-verbal actions in parallel, to interpret(More)
A multi-resolution segmentation approach for color images is proposed. The scale space is generated using the Perona-Malik diffusion approach and the watershed algorithm is employed to produce the regions in each scale. The dynamics of contours and the relative entropy of color regions distribution are estimated as region dissimilarity features across the(More)
One of the primary challenges of Mine Action Programs is organizing and analysing the vast amounts of landmine incidents and other information required to make informed policy decisions for implementing Mine Action Activities, such as victim assistance, landmine impact, landmine clearance, etc. With this in mind, this study aims at mapping the spatial(More)