Designing for semantic access: A video browsing system

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 in teractive inspection of the result set by the user. In this paper, we descr ibe a MM-DBMS that we extended with the following components: Our retrieval engine calculates relevance values for the results of a conceptual query b y feature aggregation on video shot granularity to offer conceptual, conten t-based access. To reduce startup delays within sessions, our admission con trol module admits only complete browsing sessions, if required resources, which are heuristically predicted from query results, are available. In add ition, our intelligent client buffer strategy employs the retrieval relevan ce values to enable flexible user interactions during browsing.