In the paper the problem of the recognition of trademarks placed on banners which are visible during a sport television broadcast is described and experimentally investigated. It constitutes the second stage of the process of the analysis of the banners, e.g. in order to estimate the time that a particular banner is visible and can exert influence on the customers' behaviour. Banners placed near a play field during football matches were analysed. For this task four algorithms were selected and tested, namely the UNL shape descriptor combined with the Partial Point Matching Algorithm, the Contour Sequence Moments, the UNL-Fourier descriptor and the Point Distance Histogram. Amongst them the best result was obtained when using the UNL + PPMA approach. The average efficiency of this method was equal to 84%. © 2011 Springer-Verlag.
CITATION STYLE
Frejlichowski, D. (2011). Recognition of trademarks during sport television broadcasts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6754 LNCS, pp. 380–388). https://doi.org/10.1007/978-3-642-21596-4_38
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