Abstract
This paper outlines a simple and practical technique for detecting logos characterizing a broadcast station in TV Programme. Traditional detecting algorithms such as feature extraction and template matching has been applied in many applications. However the limitation of these method cannot recognize the transparent logo effectively. More sophisticated learning-based methods have been address these issues, but they typically involve very high computational complexity. We present an automatic TV logo detection method based statistical property of video sequences. Different other approaches, a transparency factor is introduced firstly in this paper. It is a symbol that responses the level of TV logo transparency and indispensability as a part of the logo information. Combined with the statistical property of video sequences, the logo information can be obtained and detected clearly. Experimental results show that the proposed method not only simple, but gives performs well.
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© 2012 Springer-Verlag Berlin Heidelberg
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Fan, T., Peng, J., Zhao, H., Wang, G. (2012). An Automatic TV LOGO Detecting Method. In: Zhang, W., Yang, X., Xu, Z., An, P., Liu, Q., Lu, Y. (eds) Advances on Digital Television and Wireless Multimedia Communications. Communications in Computer and Information Science, vol 331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34595-1_33
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DOI: https://doi.org/10.1007/978-3-642-34595-1_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34594-4
Online ISBN: 978-3-642-34595-1
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