Shot Boundary Detection Using a Global Decision Tree in Ubiquitous Environment

  • Authors:

  • Shin Seong-Yoon;Gao Cheng;Baek Seong-Eun;Sang-Joon Park;Shin Jung-Hoon;Rhee Yang-Won

  • Affiliations:

  • Dept. of Computer and Information Engineering, Kunsan Natl. Univ., Kunsan City, South Korea 573-701;Dept. of Computer and Information Engineering, Kunsan Natl. Univ., Kunsan City, South Korea 573-701;Dept. of Computer and Information Engineering, Kunsan Natl. Univ., Kunsan City, South Korea 573-701;Dept. of Computer and Information Engineering, Kunsan Natl. Univ., Kunsan City, South Korea 573-701;College of Engineering Division of Applied Systems Engineering, Chonbuk Natl. Univ., Jeonju City, South Korea 561-756;Dept. of Computer and Information Engineering, Kunsan Natl. Univ., Kunsan City, South Korea 573-701

  • Venue:
  • ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II
  • Year:
  • 2008

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Abstract

Role of video in Ubiquitous environment is growing. This paper presents a shot boundary detection method based on the global decision tree that allows for extraction of boundaries of high variations occurring due to camera breaks from frame difference values. For a start, difference values between frames are calculated through local X2-histogram and normalization. Next, the distances between difference values are calculated through normalization. After the global threshold distance is computed based on the distances between the difference values calculated, a comparison between the distance value for two adjacent frames and the global threshold distance is performed to detect shot boundaries.