This paper addresses face diarization in videos, that is, deciding which face appears and
when in the video. To achieve this face-track clustering task, we propose a hierarchical …

In this article, we propose a new video object retrieval system. Our approach is based on a
Spatio-Temporal data representation, a dedicated kernel design and a statistical learning …

This paper presents an actor video retrieval system based on face video-tubes extraction
and representation with sets of temporally coherent features. Visual features, SIFT points …

Huge amount of video data is being generated every day, with enormous growth of security
and surveillance system. It is immensely challengeable for researcher to search and retrieve …

Résumé Cette thèse traite de l'identification des locuteurs et des visages dans les journaux
télévisés. L'identification est effectuée à partir des noms affichés à l'écran dans les …

Huge amount of video data is being generated every day, with enormous growth of security
and surveillance system. It is immensely challengeable for researcher to search and retrieve …

Huge amount of video data is being generated every day, with enormous growth of security
and surveillance system. It is immensely challengeable for researcher to search and retrieve …

Résumé Dans cette thèse, nous proposons un nouveau système de recherche par le
contenu de catégories sémantiques d'objets vidéo. A partir des séquences vidéo, nous …