Therapeutic video tagging model

The present work aims to develop a model to categorize and tag videos according to the emotion elicited by them on the viewer by video content analysis. Recommend videos according to the current emotional state of the user in order to prevent him/her from entering into an extreme emotional state.

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Bibliographische Detailangaben
Hauptverfasser:	Maringanti, H. B., Asawa, K., Agarwal, N., Agarwal, R.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Communications technology Decision support systems Dimensional Emotional Model. 2-D Emotional Space Ekman's list of Emotions Emotions Low-level Features Therapeutic Tool Valence Arousal Model Video
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Beschreibung
Zusammenfassung:	The present work aims to develop a model to categorize and tag videos according to the emotion elicited by them on the viewer by video content analysis. Recommend videos according to the current emotional state of the user in order to prevent him/her from entering into an extreme emotional state.
DOI:	10.1109/WICT.2012.6409126