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Shot Type Detecting System using Face Detection

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2012, 17(9), pp.49-56
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

BAEK, Yeong Tae 1 Seung Bo Park 2

1김포대학교
2경희대학교

Accredited

ABSTRACT

In this paper, we propose the method that decides the shot types using face detection technique. The shot types, such as close-up shot, medium shot, and long shot, can be applied as useful information for understanding narrative structure of movies. The narrative structure of movie is builded by characters. Also their mental and emotional changes become inextricably bound up with them of narrative. The shot types are decided by distance between character and camera. If put together above them, shot types can be found by using detection technique of face size of characters and understand narrative of movie. To do this, we propose the methodology to detect shot type by face detecting and implement the system to do it. Additionally, we evaluate the performance of the system. The implementation system has been evaluated as 95% for close-up shot detection and 90% for medium shot detection, while 53.3% is just detected for long shots.

Citation status

* References for papers published after 2022 are currently being built.

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