Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
9-2000
Abstract
We present a new ly developed scheme for automatical ly partitioning videos into scenes. A scene is general ly referred to as a group of shots taken place in the same site. In this paper, we first propose a motion annotation algorithm based on the analysis of spatiotemporal image volumes. The algorithm characterizes the motions within shots by extracting and analyzing the motion trajectories encoded in the temporal slices of image volumes. A motion-based keyframe computing and selection strategy is thus proposed to compactly represent the content of shots. With these techniques, we further present a scene change detection algorithm by measuring the similarity of the representative keyframes in shots.
Discipline
Graphics and Human Computer Interfaces | Theory and Algorithms
Research Areas
Intelligent Systems and Optimization
Publication
Proceedings 15th International Conference on Pattern Recognition, ICPR-2000, Barcelona, Spain, September 3-7
Volume
15
First Page
827
Last Page
830
ISBN
1051-4651
Identifier
10.1109/ICPR.2000.905535
Publisher
IEEE
City or Country
Barcelona, Spain
Citation
1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.