Automatic partitioning of full-motion video
Multimedia Systems
Video parsing and browsing using compressed data
Multimedia Tools and Applications
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Automatic Video Indexing and Full-Video Search for Object Appearances
Proceedings of the IFIP TC2/WG 2.6 Second Working Conference on Visual Database Systems II
A feature-based algorithm for detecting and classifying production effects
Multimedia Systems
Scene Break Detection: A Comparison
RIDE '98 Proceedings of the Workshop on Research Issues in Database Engineering
Image Stabilization by Features Tracking
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Rapid scene analysis on compressed video
IEEE Transactions on Circuits and Systems for Video Technology
Performance characterization of video-shot-change detection methods
IEEE Transactions on Circuits and Systems for Video Technology
Shot-boundary detection: unraveled and resolved?
IEEE Transactions on Circuits and Systems for Video Technology
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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