Exploration of Multimedia Databases
Today's scientific, commercial, and entertainment applications produce large amount of multimedia data. In order to get insight into these data, new exploration models are needed. Aiming at reflecting the user's perception, we develop new content-based similarity models based on adaptable distance functions, novel relevance feedback concepts that allow exploring comprehensive multimedia databases, and new interactive visualization techniques to make the exploration process more accessible and more intuitive for the user. These models are computationally expensive and we develop new methods for efficient query processing.