Abstract
In this paper, we present an architecture of a system which aims to personalize the TV content to the viewer reactions. The focus of the paper is on a subset of this system which identifies moments of attentive focus in a non-invasive and continuous way. The attentive focus is used to dynamically improve the user profile by detecting which displayed media or links have drawn the user attention. Our method is based on the detection and estimation of face pose in 3D using a consumer depth camera. Two preliminary experiments were carried out to test the method and to show its link to viewer interest. This study is realized in the scenario of a TV with a second screen interaction (tablet, smartphone), a behaviour that has become common for spectators.
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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Leroy, J., Rocca, F., Mancaş, M., Gosselin, B. (2013). 3D Head Pose Estimation for TV Setups. In: Mancas, M., d’ Alessandro, N., Siebert, X., Gosselin, B., Valderrama, C., Dutoit, T. (eds) Intelligent Technologies for Interactive Entertainment. INTETAIN 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 124. Springer, Cham. https://doi.org/10.1007/978-3-319-03892-6_7
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DOI: https://doi.org/10.1007/978-3-319-03892-6_7
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