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Mining Multimedia Databases A multimedia database systems stores and manages a large collections of multimedia objects, such as audio data, image data, video data, sequence data, and hyper text data, text markups and linkages. Similarity search – Find pairs of branches with similar sales patterns – find medical cases similar to Smith's – Find pairs of sensor series that move in sync Several approaches have been proposed and studied for similarity-based retrieval in image data bases, based on the following signature Color histogram based signature Multifeature composed signature Wavelet based signature Wavelet-based signature with region-based granularity Mining associations in Multimedia Data Associations between image content and non image content feature Associations among image contents that are not related to spatial relationships Associations among image contents related to spatial relation ships • Rule discovery – Clusters (of patients; of customers; ...) – Forecasting (total sales for next year?) – Outliers (eg., fraud detection) Knowledge Discovery in Multimedia Databases Find patterns in primarily unstructured data Machine learning where a case library replaces the training set Information Modes Data segmentation Multimedia data are divided into logical interconnected segments (objects) Pattern extraction Mining and analysis procedures should reveal some relations between objects on the different level Knowledge representation Incorporated linked patterns Information model – dynamic structure