Conference Paper

Using Self-Organizing Maps to Support Video Navigation.

DOI: 10.1007/11840817_42 In proceeding of: ICANN (1)

ABSTRACT Content-based video navigation is an efficient method for browsing video information. A common approach is to cluster shots
into groups and visualize them afterwards. In this paper, we present a prototype that follows in general this approach. Unlike
existing systems, the clustering is based on a growing self-organizing map algorithm. We focus on studying the applicability
of SOMs for video navigation support. We ignore the temporal aspect completely during the clustering, but we project the grouped
data on an original time bar control afterwards. This complements our interface by providing – at the same time – an integrated
view of time and content based information. The aim is to supply the user with as much information as possible on one single
screen, without overwhelming him. Special attention is also given to the interaction possibilities which are hierarchically
organized.

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