Stephan Repp

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Searching multimedia data in particular audiovisual data is still a challenging task to fulfill. The number of digital video recordings has increased dramatically as recording technology has become more affordable and network infrastructure has become easy enough to provide download and streaming solutions. But, the accessibility and traceabil-ity of its(More)
In this paper, we present a general architecture and a new retrieval method for an educational system that is based on a knowledge base of existing recorded lectures. The extraction of metadata from the multimedia resources is one of the main parts of this paper. The recorded lectures are transcripted by an out-of-the-box speech recognition software. The(More)
This paper describes our <i>e-librarian service</i> that understands students' complete questions in natural language and retrieves very few but pertinent <i>learning objects</i>, i.e., short multimedia documents. The system is based on three key components: the formal representation of a domain ontology, a mechanism to automatically identify learning(More)
The number of digital video recordings has increased dramatically. The idea of recording lectures, speeches, and other academic events is not new. But, the accessibility and traceability of its content for further use is rather limited. Searching multimedia data, in particular audiovisual data, is still a challenging task to overcome. We describe and(More)
In the past decade, we have witnessed a dramatic increase in the availability of online academic lecture videos. There are technical problems in the use of recorded lectures for learning: the problem of easy access to the multimedia lecture video content and the problem of finding the semantically appropriate information very quickly. The first step to a(More)