Semantic exploration of lecture videos

E-Learning is rapidly changing the way that universities and corporations offer education and training. In recent years, the acquisition and distribution of rich media content has been largely automated, However, existing applications are functionally and visually static and remain organized around the delivery media, rather than the knowledge representation and learning tasks of the student. The innovative approach of this system is the extraction of semantically meaningful structures in the lecture combined with text analysis to support task based queries. In this demonstration we will show this combination of pedagogical and content descriptions leads to novel forms of visualization and exploration of course lectures. System capabilities and semantic analysis technologies applied to lecture content obtained from a graduate level SMA (Singapore-MIT Alliance) distance education course will also be presented.