In this paper we show how the use of an automatic threshold selection technique can improve some critical video parsing operations. To this end, in the framework of an information-theoretic approach, we propose a technique based on entropy maximization. We also present an algorithm for detecting dissolves in Mpeg compressed videos, which demonstrates the reliability of the proposed technique. Experimental results are provided and discussed.

Automated threshold selection for the detection of dissolves in Mpeg video / G. Boccignone, M. De Santo, G. Percannella - In: Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on[s.l] : IEEE, 2000. - ISBN 0780365364. - pp. 1535-1538 (( Intervento presentato al 1. convegno International Conference on Multimedia and Expo tenutosi a New York nel 2000.

Automated threshold selection for the detection of dissolves in Mpeg video

G. Boccignone;
2000

Abstract

In this paper we show how the use of an automatic threshold selection technique can improve some critical video parsing operations. To this end, in the framework of an information-theoretic approach, we propose a technique based on entropy maximization. We also present an algorithm for detecting dissolves in Mpeg compressed videos, which demonstrates the reliability of the proposed technique. Experimental results are provided and discussed.
Engineering (all)
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/494303
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