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.
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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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Baraldi, L., Grana, C., Cucchiara, R. (2016). Analysis and Re-Use of Videos in Educational Digital Libraries with Automatic Scene Detection. In: Calvanese, D., De Nart, D., Tasso, C. (eds) Digital Libraries on the Move. IRCDL 2015. Communications in Computer and Information Science, vol 612. Springer, Cham. https://doi.org/10.1007/978-3-319-41938-1_16
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DOI: https://doi.org/10.1007/978-3-319-41938-1_16
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