Nowadays the Quality of Experience of multimedia content is largely investigated in order to understand the overall acceptability of the content as perceived subjectively by the end user. In this paper, a non-invasive technique is adopted for estimating the heart rate of a subject while he is watching 3D contents, as a first step towards the ultimate goal of relating heart rate variations to the quality perceived by the observer in order to provide an effective tool for automatically evaluating the Quality of Experience. In order to validate the proposed approach, subjective tests have been performed and the achieved results are promising thus pushing to further investigate the correlation between emotions and the performed heart rate estimation.

Bonomi, M., Barreda Angeles, M., Battisti, F., Boato, G., Le Callet, P., Carli, M. (2016). Towards QoE estimation of 3D contents through non-invasive methods. In 3DTV-Conference (pp.1-4). IEEE Computer Society [10.1109/3DTV.2016.7548883].

Towards QoE estimation of 3D contents through non-invasive methods

BATTISTI, FEDERICA;CARLI, Marco
2016

Abstract

Nowadays the Quality of Experience of multimedia content is largely investigated in order to understand the overall acceptability of the content as perceived subjectively by the end user. In this paper, a non-invasive technique is adopted for estimating the heart rate of a subject while he is watching 3D contents, as a first step towards the ultimate goal of relating heart rate variations to the quality perceived by the observer in order to provide an effective tool for automatically evaluating the Quality of Experience. In order to validate the proposed approach, subjective tests have been performed and the achieved results are promising thus pushing to further investigate the correlation between emotions and the performed heart rate estimation.
9781509033133
9781509033133
Bonomi, M., Barreda Angeles, M., Battisti, F., Boato, G., Le Callet, P., Carli, M. (2016). Towards QoE estimation of 3D contents through non-invasive methods. In 3DTV-Conference (pp.1-4). IEEE Computer Society [10.1109/3DTV.2016.7548883].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/308024
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