Abstract
Recently, people require “personalized” web service like information retrieval system that can treat user’s subjective request. On the other hand, there is huge number of digital multimedia contents on the web. People can browse them easily but it’s difficult to find the contents people want to get with their subjective requests. A way to materialize personalized contents retrieval system using multimedia contents on the web and user’s subjective requests is making personal index. This paper shows a proposal of Kansei Description Inference System, how to make Kansei description, and its examples are shown. Kansei description is able to be a part of MPEG-7 format metadata.
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References
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Yoshida, K. (2003). A Proposal of Kansei Description for Multimedia Contents. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_63
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DOI: https://doi.org/10.1007/978-3-540-45226-3_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40804-8
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