Abstract
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.
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De Santo, M., Percannella, G., Sansone, C., Vento, M. (2005). An Improved Algorithm for Anchor Shot Detection. In: Roli, F., Vitulano, S. (eds) Image Analysis and Processing – ICIAP 2005. ICIAP 2005. Lecture Notes in Computer Science, vol 3617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553595_83
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DOI: https://doi.org/10.1007/11553595_83
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28869-5
Online ISBN: 978-3-540-31866-8
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