Abstract
A novel scheme for break-segment detection and recognition in broadcasting video/audio based on client/server architecture is proposed, where breaksegments are referred to as segments inserted between or within main programs such as commercials, upcoming program announcements, head leader and closing credits of programs, etc. At the server-end, a break-segment database is initially generated and thereafter updated by results of repetition detection. The clients get the latest break-segment database from the server through network and recognize the break-segments in the database. For both repetition detection and recognition, only the audio signal is processed using the feature EEUPC and corresponding similarity measurement and matching algorithm, achieving much higher efficiency than current methods. Experimental results demonstrate high accuracy and efficiency of the proposed framework.
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© 2009 Springer-Verlag Berlin Heidelberg
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Wang, X., Li, X., Qian, Y., Yang, Y., Lin, S. (2009). Break-Segment Detection and Recognition in Broadcasting Video/Audio Based on C/S Architecture. In: Chien, BC., Hong, TP. (eds) Opportunities and Challenges for Next-Generation Applied Intelligence. Studies in Computational Intelligence, vol 214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92814-0_8
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DOI: https://doi.org/10.1007/978-3-540-92814-0_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-92813-3
Online ISBN: 978-3-540-92814-0
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