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Automatic, context-of-capture based, categorization, structure detection and segmentation of news telecasts

Christodoulakis Stavros, Arne Jacobs, George T. Ioannidis, Martha Larson, Nektarios Moumoutzis

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/0C4F67BB-ABA9-464A-BBF6-D310ED320123
Έτος 2007
Τύπος Πλήρης Δημοσίευση σε Συνέδριο
Άδεια Χρήσης
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Βιβλιογραφική Αναφορά A. Jacobs, G. T. Ioannidis,M. Larson ,S. Christodoulakis, N. Moumoutzis , "Automatic, context-of-capture based, categorization, structure detection and segmentation of news telecasts ",in 2007 First Intern. DELOS Conf., pp.278-287.doi :10.1007/978-3-540-77088-6_27 https://doi.org/10.1007/978-3-540-77088-6_27
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The objective of the work reported here is to provide an automatic, context-of-capture categorization, structure detection and segmentation of news broadcasts employing a multimodal semantic based approach. We assume that news broadcasts can be described with context-free grammars that specify their structural characteristics. We propose a system consisting of two main types of interoperating units: The recognizer unit consisting of several modules and a parser unit. The recognizer modules (audio, video and semantic recognizer) analyze the telecast and each one identifies hypothesized instances of features in the audiovisual input. A probabilistic parser analyzes the identifications provided by the recognizers. The grammar represents the possible structures a news telecast may have, so the parser can identify the exact structure of the analyzed telecast.

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