A Video Shot Boundary Detection Algorithm Based on Feature Tracking
- Xinbo GaoAffiliated withSchool of Electronic Engineering, Xidian Univ.
- , Jie LiAffiliated withSchool of Electronic Engineering, Xidian Univ.
- , Yang ShiAffiliated withSchool of Electronic Engineering, Xidian Univ.
Partitioning a video sequence into shots is the first and key step toward video-content analysis and content-based video browsing and retrieval. A novel video shot boundary detection algorithm is presented based on the feature tracking. First, the proposed algorithm extracts a set of corner-points as features from the first frame of a shot. Then, based on the Kalman filtering, these features are tracked with windows matching method from the subsequent frames. According to the characteristic pattern of pixels intensity changing between corresponding windows, the measure of shot boundary detection can be obtained to confirm the types of transitions and the time interval of gradual transitions. The experimental results illustrate that the proposed algorithm is effective and robust with low computational complexity.
KeywordsContent-based video retrieval shot boundary detection corner detection feature tracking Kalman filter
- A Video Shot Boundary Detection Algorithm Based on Feature Tracking
- Book Title
- Rough Sets and Knowledge Technology
- Book Subtitle
- First International Conference, RSKT 2006, Chongquing, China, July 24-26, 2006. Proceedings
- pp 651-658
- Print ISBN
- Online ISBN
- Series Title
- Lecture Notes in Computer Science
- Series Volume
- Series ISSN
- Springer Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- Additional Links
- Content-based video retrieval
- shot boundary detection
- corner detection
- feature tracking
- Kalman filter
- Industry Sectors
- eBook Packages
- Editor Affiliations
- 18. College of Computer Science and Technology, Chongqing, University of Posts and Telecommunication
- 19. Department of Electrical and Computer Engineering, University of Manitoba
- 20. Institute of Mathematics, Warsaw University
- 21. Department of Computer Science, University of Regina, Regina,
- Author Affiliations
- 22. School of Electronic Engineering, Xidian Univ., Xi’an, 710071, P.R. China
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