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Research . 2018
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Visual and audio analysis of movies video for emotion detection@ Emotional Impact of Movies task MediaEval 2018

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

Visual and audio analysis of movies video for emotion detection@ Emotional Impact of Movies task MediaEval 2018

Abstract

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.

Keywords

MediaEval, emotion detection, movies video, Visual and audio analysis, MediaEval, emotion detection, movies video, Visual and audio analysis

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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