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Sports Image Classification through Bayesian Classifier

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Current Topics in Artificial Intelligence (TTIA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3040))

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Abstract

Most documents on the web today contain image as well as text data. So far, classification of images has been dependent on the annotation. For the more efficient and accurate classification, not only textual data but also image contents should be considered. In this paper, we propose a novel method for classifying specific image data; sports images. The proposed method is based on the Bayesian framework and employs four important color features to exploit the properties of sports images.

This research was supported by University IT Research Center Project

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© 2004 Springer-Verlag Berlin Heidelberg

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Jung, Y., Hwang, E., Kim, W. (2004). Sports Image Classification through Bayesian Classifier. In: Conejo, R., Urretavizcaya, M., Pérez-de-la-Cruz, JL. (eds) Current Topics in Artificial Intelligence. TTIA 2003. Lecture Notes in Computer Science(), vol 3040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25945-9_54

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  • DOI: https://doi.org/10.1007/978-3-540-25945-9_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22218-7

  • Online ISBN: 978-3-540-25945-9

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