A. Stent and H. Guo (USA)
Human Computer Interfaces, Multimedia Communication Systems, Collaborative Systems and Applications
A number of Multimedia Presentation Systems have been built for technical documentation, traffic management sys tems, educational software and other applications. How ever, these systems use handwritten presentation planning operators, which limits their flexibility. In this paper we describe a new data-driven approach to multimedia pre sentation planning. We present algorithms for acquiring presentation plan operators from Web pages, and for using these operators to generate multimedia presentations. We also show how to use machine learning to adapt multimedia presentation planning to human presentation preferences.
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