Abstract
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 for 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.
| Original language | English |
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| Title of host publication | Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001 |
| Pages | 373-376 |
| Number of pages | 4 |
| Publication status | Published - 1 Dec 2001 |
| Event | 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001 - Hong Kong, Hong Kong Duration: 2 May 2001 → 4 May 2001 |
Conference
| Conference | 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001 |
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| Country/Territory | Hong Kong |
| City | Hong Kong |
| Period | 2/05/01 → 4/05/01 |
Keywords
- Data warehouse
- Feature extraction
- Indexing and search
- Multimedia information retrieval
- Similarity measurement
ASJC Scopus subject areas
- General Computer Science