Towards enhanced video access and recommendation through emotions
نویسندگان
چکیده
In this work we discuss an emotional classification of videos based on users physiological signals and video low-level processing. This kind of automatic user classification has the potential to increase the naturalness of interaction. Everyday the number of online videos and films is increasingly available. The emotional dimensions of videos require specific tools to enable video access and search through emotions. We will discuss video classification based on emotions and how user physiological signal from users can contribute to automatically classify videos and enhance a recommendation system based in emotions.
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