Empirical analysis of deep learning networks for affective video tagging

Multimedia Tools and Applications, pp. 18611-18626, 2020.

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Keywords:
Affective video tagging Deep learning CNN Emotion classification Video analysis

Abstract:

This paper presents, a thorough evaluation of popular deep learning models to analyze and classify electroencephalogram (EEG) data for characterizing human affective states for video content tagging and retrieval. We use two pre-trained convolutional neural network (CNN) models AlexNet and GoogLeNet, and a Long Short Term Memory (LSTM) mo...More

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