Shot and scene detection via hierarchical clustering for re-using broadcast video

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Abstract

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.

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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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