Audio-visual emotion recognition in video clips

This paper presents a multimodal emotion recognition system, which is based on the analysis of audio and visual cues. From the audio channel, Mel-Frequency Cepstral Coefficients, Filter Bank Energies and prosodic features are extracted. For the visual part, two strategies are considered. First, faci...

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Bibliographic Details

Main Authors:	Fatemeh Noroozi, Marina Marjanovic, Angelina Njegus, Sergio Escalera, Gholamreza Anbarjafari
Format:	Default Article
Published:	2017
Subjects:	Artificial intelligence not elsewhere classified Information systems not elsewhere classified Multimodal emotion recognition Classifier fusion Data fusion Convolutional neural networks
Online Access:	https://hdl.handle.net/2134/37902
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