CurioView: TV recommendations related to content being viewed

We developed a new way of viewing TV, CurioView, which uses metadata and retrieval technology to satisfy viewers' curiosity by recommending wide-ranging video content related to the content the viewer is currently watching. We describe a general and expandable architecture that is based on CurioView's functions. The architecture can be applied flexibly, not just to TVs, but also to PCs and mobile terminals. We also report on the fundamental testing of a prototype system using this architecture.