Abstract
This paper presents an effective and efficient detection and recognition of scoreboard caption method for baseball videos. The method first identifies the scoreboard type using template matching and then extracts the caption region of each type. Next it recognizes the extracted caption utilizing a novel digit recognition scheme which is constructed by a simple neural network classifier. It results in a much simpler method with significantly higher recognition rate over that of the universal OCR scheme. Experimental results demonstrate the effectiveness of the proposed method and indicate that it identifies twelve scoreboard types correctly and recognizes scoreboard caption over 98%.
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© 2008 Springer-Verlag Berlin Heidelberg
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Hsieh, CH., Huang, CP., Hung, MH. (2008). Detection and Recognition of Scoreboard for Baseball Videos. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_43
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DOI: https://doi.org/10.1007/978-3-540-87442-3_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87440-9
Online ISBN: 978-3-540-87442-3
eBook Packages: Computer ScienceComputer Science (R0)