SocialSensor will develop a new framework for enabling real-time multimedia indexing and search in the Social Web. The project will move beyond conventional text-based indexing and retrieval models by mining and aggregating user inputs and content over multiple social networking sites. Social Indexing will incorporate information about the structure and activity of the users' social network directly into the multimedia analysis and search process. Furthermore, it will enhance the multimedia consumption experience by developing novel user-centric media visualization and browsing paradigms. The resulting multimedia search system will be showcased and evaluated in two use cases: (a) news, involving professional news editors, journalists and casual readers, benefiting from the improved capabilities of SocialSensor for discovering new interesting social content and integrating it in the news creation and delivery lifecycle, and (b) infotainment, providing new multimedia search tools and unique media consumption experiences to attendants of large events (e.g. festivals).
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