Emotion-based character clustering for managing story-based contents: a cinemetric analysis

Title
Emotion-based character clustering for managing story-based contents: a cinemetric analysis
Author(s)
정재은유은순[유은순]박승보[박승보]
Keywords
VIDEO
Issue Date
201307
Publisher
SPRINGER
Citation
MULTIMEDIA TOOLS AND APPLICATIONS, v.65, no.1, pp.29 - 45
Abstract
Stories in digital content (e.g., movies) are usually developed using many kinds of relationships among the characters. In order to efficiently manage such contents, we want to exploit a social network (called Character-net) extracted from the stories. Since scripts are composed of several elements (i.e., scene headings, character names, dialogs, actions, etc.), we focus on analyzing interactions (e.g., dialog) among the characters to build such a social network. Most importantly, these relationships between minor and major characters can be abstracted and clustered into similar scenes. Thereby, in this paper, we propose a novel method that can cluster characters using their emotional similarity. If a minor character has a similar emotion vector tothe main character, then the minor character can be classified as a tritagonist who helps the main character. Conversely, this minor character may be clustered into another group and denoted as an antagonist. Additionally, we show the efficiency of our proposed method by experiment in this paper.
URI
http://hdl.handle.net/YU.REPOSITORY/29400http://dx.doi.org/10.1007/s11042-012-1133-x
ISSN
1380-7501
Appears in Collections:
공과대학 > 컴퓨터공학과 > Articles
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