ct In recent years, the use of streamed digital video as a teaching and learning resource has become an increasingly attractive option for many educators as an innovation which expands the range of learning resources available to students by moving away from static text-and-graphic resources towards a video-rich learning environment. Streamed video is already widely used in some universities and it is mostly being used for transmitting unenhanced recordings of live lectures. What we are proposing is a way of enriching this video streaming scenario in the eLearning context. We want to extract information from the video and the correlated materials and make them searchable. Thus, the aim of this thesis is to create a semantically searchable collection of video lectures. In the literature, surprisingly little information can be found about speech and document retrieval in combination with lecture recording. There are interesting examples of e-lecture creation and delivery e.g. [5], audio ...