Motion-Based Video Representation for Scene Change Detection

  • Authors:

  • Chong-Wah Ngo;Ting-Chuen Pong;Hong-Jiang Zhang

  • Affiliations:

  • Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, People's Republic of China. cwngo@cs.cityu.edu.hk;Department of Computer Science, The Hong Kong University of Science & Technology, Clear Water Bay, Kowloon, Hong Kong, People's Republic of China. tcpong@cs.ust.hk;Microsoft Research Asia, 5/F Beijing Sigma Center, No. 49, ZhiChun Road, Haidian District, Beijing 100080, People's Republic of China. hjzhang@microsoft.com

  • Venue:
  • International Journal of Computer Vision
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we present a new framework to automatically group similar shots into one scene, where a scene is generally referred to as a group of shots taken place in the same site. Two major components in this framework are based on the motion characterization and background segmentation. The former component leads to an effective video representation scheme by adaptively selecting and forming keyframes. The later is considered novel in that background reconstruction is incorporated into the detection of scene change. These two components, combined with the color histogram intersection, establish our basic concept on assessing the similarity of scenes.