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

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.

• Type: Journal
• Year: 2015
• Where: CAIP
• Authors: Lorenzo Baraldi, Costantino Grana, Rita Cucchiara
• Keywords: CAIP 2015, Image Analysis