The Semantic Media Explorer combines the latest media analysis processes, such as automatic scene segmentation, intelligent character recognition, and the ability to recognize genres and faces in videos. As a result, it provides optimal access to video content. This new kind of multimedia search offers users enhanced support with semantically enhanced metadata and intuitive user interfaces. The information extracted via the media analysis is correlated using semantic information so that users can identify new links and “rummage around” in the multimedia content. In developing the Semantic Media Explorer, the HPI researchers are using highly efficient processes to process the huge volumes of data in the Future SOC Lab’s new high-performance computers.