An integration of data mining and data warehousing for hierarchical multimedia information retrieval

This paper presents a new approach to multimedia information retrieval with data warehousing techniques. To tackle the key issues such as multimedia data representation, storage, integration, indexing, similarity measures, searching methods and query processing, the proposed algorithms allow one: 1) to extend the concepts of conventional data warehouse and multimedia database to multimedia data warehouse for effective data representation and storage; 2) to develop a multimedia starflake schema to integrate multiple data streams fear hierarchical data representation and indexing; 3) to introduce a dynamic similarity measurement scheme based on statistical feature selection criteria; 4) to apply data aggregation techniques for decision support to speed up query processing and searching. We conclude that the proposed approach can be applied to general multimedia systems with effective data storage, retrieval and integration.