Abstract
Recently, for audio-visual communication are utilized many video conference systems and video on demand systems. Also, new live streaming and e-Learning systems are implemented and used for education and learning. However, during operation of these systems, the participants or learner do not watch the video because they may have also other tasks. In this paper, we discuss the video scene segmentation for monitoring a learner, where the video is divided the video scenes using a frame correlation matrix according to the learner’s behavior.
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Sugita, K. (2024). A Video Scene Segmentation Approach for Learner Monitoring. In: Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing . 3PGCIC 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 189. Springer, Cham. https://doi.org/10.1007/978-3-031-46970-1_20
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DOI: https://doi.org/10.1007/978-3-031-46970-1_20
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