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

Audience real-time bio-signal-processing-based computational intelligence model for narrative... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

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

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Publisher
Springer US
Copyright
Copyright © 2016 by Springer Science+Business Media New York
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-016-4144-1
Publisher site
See Article on Publisher Site

Abstract

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.

Journal

Multimedia Tools and ApplicationsSpringer Journals

Published: Nov 18, 2016

References

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