| Autor: |
Batziou, E., Michail, E., Avgerinakis, K., Vrochidis, S., Ioannis Patras, Kompatsiaris, I. |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
Scopus-Elsevier |
| DOI: |
10.5281/zenodo.3491643 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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