Personalized adaptation and presentation of annotated videos for mobile applications

Personalized multimedia content which suites user preferences and the usage environment, and as a result improves the user experience, gains more importance. In this paper, we describe an architecture for personalized video adaptation and presentation for mobile applications which is guided by automatically generated annotations. By including this annotation information, more intelligent adaptation techniques can be realized which only reduce the quality of unimportant regions in case a bit rate reduction is necessary. Furthermore, presentation layers are added to enable advanced multimedia viewers to optimally present the interesting parts of a video in case the user wants to zoom in. This architecture is the result of collaborative research done in the EU FP6 IST INTERMEDIA project.

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