Το work with title Automatic, context-of-capture based, categorization, structure detection and segmentation of news telecasts by Christodoulakis Stavros, Arne Jacobs, George T. Ioannidis, Martha Larson, Nektarios Moumoutzis is licensed under Creative Commons Attribution 4.0 International
Bibliographic Citation
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
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.