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Role Grades Classification and Community Clustering at Character-net

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(11), pp.169-178
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Seung Bo Park 1 조근식 1

1인하대학교

Accredited

ABSTRACT

There are various approaches that retrieve information from video. However, previous approaches have considered just object information and relationship between objects without story information to retrieve contents. To retrieve exact information at video, we need analyzing approach based on characters and community since these are body of story proceeding. Therefore, this paper describes video information retrieval methodology based on character information. Characters progress story to form relationship through conversations. We can analyze the relationship between characters in a story with the methods that classifies role grades and clusters communities of characters. In this paper, for these, we propose the Character-net and describe how to classify role grades and cluster communities at Character-net. And we show this method to be efficient.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.