MUMIS - Advanced information extraction for multimedia indexing and searching

Thierry Declerck, H. Cunningham, H. Saggion, J. Kuper, D. Reidsma, P. Wittenburg

In: Proceedings of WIAMIS. International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS) 2003.


This paper describes the role advanced natural language processing (NLP) and especially information extraction (IE) can play for multimedia applications. As an example of such an application, we present an approach dealing with the automatic conceptual indexing of multimedia documents, which subsequently can be searched by semantic categories instead of key words. A novelty of the approach is to exploit multiple sources of information relating to video content. In the MUMIS scenario, the source of information consists in a rich range of textual and transcribed sources covering soccer games.

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz