Title :
Therapeutic video tagging model
Author :
Maringanti, H.B. ; Asawa, K. ; Agarwal, Nishant ; Agarwal, Rohit
Author_Institution :
CSE/IT Dept., Jaypee Inst. of Inf. Technol., Noida, India
fDate :
Oct. 30 2012-Nov. 2 2012
Abstract :
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.
Keywords :
biomedical optical imaging; emotion recognition; medical image processing; neurophysiology; patient treatment; psychology; video communication; extreme emotional state; therapeutic video tagging model; user emotional state; video categorization; video content analysis; 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;
Conference_Titel :
Information and Communication Technologies (WICT), 2012 World Congress on
Conference_Location :
Trivandrum
Print_ISBN :
978-1-4673-4806-5
DOI :
10.1109/WICT.2012.6409126
