Automatic partitioning of full-motion video
Multimedia Systems
A feature-based algorithm for detecting and classifying production effects
Multimedia Systems
A Unified Approach to Temporal Segmentation of Motion JPEG and MPEG Compressed Video
ICMCS '95 Proceedings of the International Conference on Multimedia Computing and Systems
A Rotation and Translation Invariant Algorithm for Cut Detection Using Bipartite Graph Matching
ISM '08 Proceedings of the 2008 Tenth IEEE International Symposium on Multimedia
A unified model for techniques on video-shot transition detection
IEEE Transactions on Multimedia
A Formal Study of Shot Boundary Detection
IEEE Transactions on Circuits and Systems for Video Technology
Linear Transition Detection as a Unified Shot Detection Approach
IEEE Transactions on Circuits and Systems for Video Technology
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This paper addresses transition detection which consists in identifying the boundary between consecutive shots. In this work, we propose an approach to cope with transition detection in which we define and use a new dissimilarity measure based on the size of the maximum cardinality matching calculated using a bipartite graph with respect to a sliding window. The experiments have used two video datasets which presents a variety of different video genres with 3079 transitions. Our method achieves performance measures similar to the best results found in the literature with a much simpler classification approach.