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Personalized video summarization based exclusively on user preferences

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2020) 12036 LNCS 305-311
DOI: 10.1007/978-3-030-45442-5_38
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Abstract

We propose a recommender system to detect personalized video summaries, that make visual content interesting for the subjective criteria of the user. In order to provide accurate video summarization, the video segmentation provided by the users and the features of the video segments’ duration are combined using a Synthetic Coordinate based Recommendation system.

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Panagiotakis, C., Papadakis, H., & Fragopoulou, P. (2020). Personalized video summarization based exclusively on user preferences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12036 LNCS, pp. 305–311). Springer. https://doi.org/10.1007/978-3-030-45442-5_38

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