Broadcasters are demonstrating interest in systems that ease the process of annotation the huge amount of live and archived video materials. Exploitation of such assets is considered a key method for the improvement of production quality, and sport videos are one of the most marketable assets. In particular, in Europe, soccer is one of the most relevant sport types. This paper deals with detection and recognition of soccer highlights, using an approach based on temporal logic models.

Automatic interpretation of soccer video for highlights extraction and annotation / Jurgen Assfalg; Marco Bertini; Carlo Colombo; Alberto Del Bimbo; Walter Nunziati. - STAMPA. - (2003), pp. 769-773. (Intervento presentato al convegno ACM Symposium on Applied Computing (SAC) nel 2003).

Automatic interpretation of soccer video for highlights extraction and annotation

BERTINI, MARCO;COLOMBO, CARLO;DEL BIMBO, ALBERTO;
2003

Abstract

Broadcasters are demonstrating interest in systems that ease the process of annotation the huge amount of live and archived video materials. Exploitation of such assets is considered a key method for the improvement of production quality, and sport videos are one of the most marketable assets. In particular, in Europe, soccer is one of the most relevant sport types. This paper deals with detection and recognition of soccer highlights, using an approach based on temporal logic models.
2003
Proc. of the ACM Symposium on Applied Computing (SAC)
ACM Symposium on Applied Computing (SAC)
2003
Jurgen Assfalg; Marco Bertini; Carlo Colombo; Alberto Del Bimbo; Walter Nunziati
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/348244
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