Motion-Based Video Representation for Scene Change Detection
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 127-142 |
Journal / Publication | International Journal of Computer Vision |
Volume | 50 |
Issue number | 2 |
Publication status | Published - Nov 2002 |
Link(s)
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.
In: International Journal of Computer Vision, Vol. 50, No. 2, 11.2002, p. 127-142.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review