October 17, 2018 Working paper Open Access

Batziou Elissavet; Michail Emmanouil; Avgerinakis Konstantinos; Vrochidis Stefanos; Patras Ioannis; Kompatsiaris Ioannis

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    <subfield code="a">&lt;p&gt;This work reports the methodology that CERTH-ITI team developed so as to recognize the emotional impact that movies have to its viewers in terms of valence/arousal and fear. More Specifically,deep convolutional neural networks and several machine learning techniques are utilized to extract visual features and classify them based on the predicted model, while audio features are also taken into account in the fear scenario, leading to highly accurate recognition rates.&lt;/p&gt;</subfield>
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