Abstract
In order to support the demands of fast and precise TV categorization for a personalized Electronic Programming Guide (EPG), the authors propose a new multidimensional taxonomy for the TV content. In addition to being much more lightweight in nature than the approach proposed by TV Anytime, with this method, a much more streamlined format is generated, which attempts to balance sensitive and detailed categorization criteria with computer efficiency in order to fulfill the demands of the recommender system. Furthermore, the authors propose a mechanism to obtain a quick and efficient real-time comparison of specific TV content with an alternative system called TV content fingerprinting
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Recuenco, J., Rojo, N., Bueno, D. (2008). A New Approach for a Lightweight Multidimensional TV Content Taxonomy: TV Content Fingerprinting. In: Tscheligi, M., Obrist, M., Lugmayr, A. (eds) Changing Television Environments. EuroITV 2008. Lecture Notes in Computer Science, vol 5066. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69478-6_12
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DOI: https://doi.org/10.1007/978-3-540-69478-6_12
Publisher Name: Springer, Berlin, Heidelberg
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