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

Jia You, Tharam Dillon, James Liu

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

6 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
Pages373-376
Number of pages4
Publication statusPublished - 1 Dec 2001
Event2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001 - Hong Kong, Hong Kong
Duration: 2 May 20014 May 2001

Conference

Conference2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
CountryHong Kong
CityHong Kong
Period2/05/014/05/01

Keywords

  • Data warehouse
  • Feature extraction
  • Indexing and search
  • Multimedia information retrieval
  • Similarity measurement

ASJC Scopus subject areas

  • Computer Science(all)

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