Video decomposition techniques are fundamental tools for allowing effective video browsing and re-using. In this work, we consider the problem of segmenting broadcast videos into coherent scenes, and propose a scene detection algorithm based on hierarchical clustering, along with a very fast state-of-the-art shot segmentation approach. Experiments are performed to demonstrate the effectiveness of our algorithms, by comparing against recent proposals for automatic shot and scene segmentation.
CITATION STYLE
Baraldi, L., Grana, C., & Cucchiara, R. (2015). Shot and scene detection via hierarchical clustering for re-using broadcast video. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9256, pp. 801–811). Springer Verlag. https://doi.org/10.1007/978-3-319-23192-1_67
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