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Erschienen in:
2005 | OriginalPaper | Buchkapitel
An Improved Algorithm for Anchor Shot Detection
verfasst von : M. De Santo, G. Percannella, C. Sansone, M. Vento
Erschienen in: Image Analysis and Processing – ICIAP 2005
Verlag: Springer Berlin Heidelberg
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Segmentation of news videos into stories is among key issues for achieving efficient treatment of news-based digital libraries. Indeed, anchor shot detection is a fundamental step for segmenting news into stories.
In this paper we present an improved algorithm for anchor shot detection. It is based on a graph theoretical clustering method and exploits the idea of the
cluster lifetime
for improving the performance. Moreover, a method for automatically fixing all the thresholds required by the original version of the algorithm is also proposed, so making it fully unsupervised.
The proposed algorithm has been tested on a database significantly wider than those typically used in the field, demonstrating its advantages with respect to the original version.