Audience real-time bio-signal-processing-based computational intelligence model for narrative scene editing

Narrative scene editing is carried out by directors as an eidetic technique. Continuity editing is a style of editing used in film making to make films as realistic as possible for the audience. While non-continuity editing (e.g., flashbacks, jump cuts, montages, etc.) is also a critical factor that reflects the character of a director, most scenes demand continuity editing to maximize the audience’s narrative immersion. In this paper, we present an algorithm for continuity editing that determines the size of a shot (field of view) by evaluating the psychical distance between the characters and viewers via the measurement of electrodermal activity (or the galvanic skin response). The use of this continuity editing algorithm is expected to result in more audience-friendly videos by reflecting the level of identification between the actors and the audience.