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Analysis and Re-Use of Videos in Educational Digital Libraries with Automatic Scene Detection

  • Lorenzo BaraldiEmail author
  • Costantino Grana
  • Rita Cucchiara
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 612)

Abstract

The advent of modern approaches to education, like Massive Open Online Courses (MOOC), made video the basic media for educating and transmitting knowledge. However, IT tools are still not adequate to allow video content re-use, tagging, annotation and personalization. In this paper we analyze the problem of identifying coherent sequences, called scenes, in order to provide the users with a more manageable editing unit. A simple spectral clustering technique is proposed and compared with state-of-the-art results. We also discuss correct ways to evaluate the performance of automatic scene detection algorithms.

Keywords

Scene detection Performance evaluation Spectral clustering 

Notes

Acknowledgments

This work was carried out within the project “Città educante” (ctn01_00034_393801) of the National Technological Cluster on Smart Communities cofunded by the Italian Ministry of Education, University and Research - MIUR.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Lorenzo Baraldi
    • 1
    Email author
  • Costantino Grana
    • 1
  • Rita Cucchiara
    • 1
  1. 1.Dipartimento di Ingegneria “Enzo Ferrari”Università Degli Studi di Modena e Reggio EmiliaModenaItaly

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