Abstract
Users of browsing applications often have vague information needs which can only be described in conceptual terms. Therefore, a video browsing system must accept conceptual queries for preselection and offer mechanisms for interactive inspection of the result set by the user. We describe a MM-DBMS that we extended with the following components. The retrieval engine calculates relevance values for the results of a conceptual query by feature aggregation on video shot granularity to offer conceptual, content based access. An intelligent client buffer strategy employs these relevance values to enable flexible user interactions during browsing. The admission control module admits whole browsing sessions by predicting required resources from query results to reduce startup delays within a session.
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