On hierarchical multimedia information retrieval

Jia You, T. Dillon, J. Liu, E. Pissaloux

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)


This paper presents a data warehousing approach to hierarchical multimedia information retrieval. 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 databases to multimedia data warehouses 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 apply data aggregation techniques for decision support to speed up query processing and searching. In addition, the new system architecture is compared with a conventional database structure. Furthermore, a case study is presented to illustrate the development of a content-based image retrieval system for cyclone pattern recognition. We conclude that the proposed approach can be applied to other multimedia systems with effective data storage, retrieval and integration.
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Number of pages4
Publication statusPublished - 1 Jan 2001
Externally publishedYes
EventIEEE International Conference on Image Processing (ICIP) - Thessaloniki, Greece
Duration: 7 Oct 200110 Oct 2001


ConferenceIEEE International Conference on Image Processing (ICIP)

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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