Motion-Based Video Representation for Scene Change Detection

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

68 Scopus Citations
View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)127-142
Journal / PublicationInternational Journal of Computer Vision
Volume50
Issue number2
Publication statusPublished - Nov 2002

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 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.

Research Area(s)

  • Background reconstruction, Keyframe formation, Scene change detection, Spatio-temporal slice

Citation Format(s)

Motion-Based Video Representation for Scene Change Detection. / NGO, CHONG-WAH; PONG, TING-CHUEN; ZHANG, HONG-JIANG.
In: International Journal of Computer Vision, Vol. 50, No. 2, 11.2002, p. 127-142.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review