Rachid Oulad Haj Thami

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In this paper, we propose a video summarization algorithm by multiple extractions of key frames in each shot. This algorithm is based on the <i>k-medoid</i> clustering algorithms to find the best representative frame for each video shot. This algorithm, which is applicable to all types of descriptors, consists of extracting key frames by similarity(More)
In this article, we propose a general computational model for the extraction of symmetry features of Islamic geometrical patterns' (IGP) images. We describe IGP images using the discrete symmetry groups theory. Our model contains the three following steps. (1) By noting that these patterns fall into three major categories, we begin our indexation process by(More)
distribution de ce contenu visuel représente des variables linguistiques, c.-à-d. "l'occurrence est maximale" et "la distribution est maximale". L'occurrence et la distribution représentent deux ensembles flous qui nécessitent une détermination de leur fonction d'appartenance. Dans notre proposition, nous segmentons les séquences vidéo en plans (shots)(More)