Abstract
The analysis of user behaviors in large video databases is an emergent problem. The growing importance of video in every day life (e.g., movie production) is linked to the importance of video usage. To cope with the abundance of available videos, users of these videos need intelligent software systems that fully utilize the rich source information hidden in user behaviors on large video databases to retrieve and navigate through videos. In this chapter, we present a framework for video usage mining to generate user profiles on a video search engine in the context of movie production.
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Mongy, S., Bouali, F., Djeraba, C. (2007). Analyzing User’s Behavior on a Video Database. In: Petrushin, V.A., Khan, L. (eds) Multimedia Data Mining and Knowledge Discovery. Springer, London. https://doi.org/10.1007/978-1-84628-799-2_23
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DOI: https://doi.org/10.1007/978-1-84628-799-2_23
Publisher Name: Springer, London
Print ISBN: 978-1-84628-436-6
Online ISBN: 978-1-84628-799-2
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