Bayesian TV: Emergency Information Media by Automating Coverage, Distribution and Editing
Finished by March 31, 2013
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![Asanobu Kitamoto](../../researcher/2ki/image/kitamoto.gif)
Research Organization of Information and Systems, National Institute of Informatics, Digital Content and Media Sciences Research Division, Associate Professor
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![Abstract](../image/abstract.gif)
This project aims at making "Bayesian TV" for emergency information where real-time information is relevant. The TV is based on a temporal Bayesian model and automates coverage, distribution and editing. The present television system has a drawback on personalizing programs, while the present Web has a drawback on requiring an active information seeking process. Hence we design a "push" media that automatically provides relevant information using a television-like interface, and our goal is to start "Digital Typhoon TV" on the Web providing typhoon information to the general public.
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