A multi-stage approach for anchor shot detection

Authors:
L. D’Anna;G. Marrazzo;G. Percannella;C. Sansone;M. Vento
Affiliations:
Dip. di Ingegneria dell’Informazione ed Ingegneria Elettrica, Università degli Studi di Salerno, Fisciano (SA), Italy;Dip. di Ingegneria dell’Informazione ed Ingegneria Elettrica, Università degli Studi di Salerno, Fisciano (SA), Italy;Dip. di Ingegneria dell’Informazione ed Ingegneria Elettrica, Università degli Studi di Salerno, Fisciano (SA), Italy;Dipartimento di Informatica e Sistemistica, Università degli Studi di Napoli “Federico II”, Napoli, Italy;Dip. di Ingegneria dell’Informazione ed Ingegneria Elettrica, Università degli Studi di Salerno, Fisciano (SA), Italy
Venue:
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Year:
2006

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Abstract

In this paper we present a novel algorithm for anchor shot detection (ASD). ASD is a fundamental step for segmenting news video into stories that is among key issues for achieving efficient treatment of news-based digital libraries. The proposed algorithm creates a set of audio/video templates of anchorperson shots in an unsupervised way, then classifies shots by comparing them to the templates. Audio similarity is evaluated by means of a new index and helps to achieve better performance than a pure video approach. The method has been tested on a wide database and compared with other state-of-the-art algorithms, demonstrating its effectiveness with respect to them.