In the paper we deal with automatic detection of anchoring segments in a collection of TV programmes. The anchoring segments are intended to be further used as a basis for subsequent hyperlinking to another related video segments.
The anchoring segments are therefore supposed to be fetching for the users of the collection. Using the hyperlinks, the users can easily navigate through the collection and find more information about the topic of their interest.
We present two approaches, one based on metadata, the second one based on frequencies of proper names and numbers contained in the segments. Both approaches proved to be helpful for different aspects of anchoring problem: the segments which contain a large number of proper names and numbers are interesting for the users, while the segments most similar to the video description are highly informative.