Affective ranking of movie scenes using physiological signals and content analysis
Mohammad Soleymani, Guillaume Chanel, Joep J. M. Kierkels, Thierry Pun · 2008
In this paper, we propose an approach for affective ranking of movie scenes based on the emotions that are actually felt by spectators. Such a ranking can be used for characterizing the affective, or emotional, content of video clips. The ranking can for instance help determine which video clip from a database elicits, for a given user, the most joy. This in turn will permit video indexing and retrieval based on affective criteria corresponding to a personalized user affective profile.