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Shot and Scene Detection via Hierarchical Clustering for Re-using Broadcast Video

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.


Citation:

Baraldi, Lorenzo; Grana, Costantino; Cucchiara, Rita "Shot and Scene Detection via Hierarchical Clustering for Re-using Broadcast Video" Computer Analysis of Images and Patterns. Part I, vol. 9256, Valletta, Malta, pp. 801 -811 , 2-4 September 2015, 2015 DOI: 10.1007/978-3-319-23192-1_67

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