Abstract
This demo presents a complete system that automatically structures TV streams on the fly. The objective is to precisely and automatically determine the start and the end of each broadcasted TV program. The extracted programs can then be stored in a database to be used in novel services such as TV-on-Demand. The system performs on-the-fly detection of inter-programs using a reference database of inter-programs, as well as an offline detection and classification of repeated sequences. This offline phase allows us to automatically detect inter-programs as repeated sequences. The macro-segmentation is performed using the online and the offline results of inter-program detection as well as metadata, when available, in order to label extracted programs. The demo shows results on large real TV streams.
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Manson, G., Naturel, X., Berrani, SA. (2009). Online Macro-segmentation of Television Streams. In: Huet, B., Smeaton, A., Mayer-Patel, K., Avrithis, Y. (eds) Advances in Multimedia Modeling . MMM 2009. Lecture Notes in Computer Science, vol 5371. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92892-8_23
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DOI: https://doi.org/10.1007/978-3-540-92892-8_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-92891-1
Online ISBN: 978-3-540-92892-8
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