A hierarchical approach to content-based image retrieval

Jia You, K. H. Cheung, J. Liu

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

Abstract

This paper presents a new approach to content-based image retrieval by using dynamic indexing and guided search in a hierarchical structure, and extending data, mining and data warehousing techniques. The proposed algorithms include: a wavelet-based scheme far multiple image feature extraction, the extension of a conventional data warehouse and an image database to an image data warehouse for dynamic image indexing, an image data schema for hierarchical image representation and dynamic image indexing, a statistically based feature selection scheme to achieve flexible similarity measures, and a feature component code to facilitate query processing and guide the search for the best matching. A series of case studies are reported, which include a wavelet-based image color hierarchy, classification of satellite images, tropical cyclone pattern recognition, and personal identification.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Imaging Science, Systems and Technology, CISST
Pages127-133
Number of pages7
Publication statusPublished - 1 Dec 2003
EventProceedings of the International Conference on Imaging Science, Systems and Technology, CISST'03 - Las Vegas, NV, United States
Duration: 23 Jun 200326 Jun 2003

Conference

ConferenceProceedings of the International Conference on Imaging Science, Systems and Technology, CISST'03
CountryUnited States
CityLas Vegas, NV
Period23/06/0326/06/03

Keywords

  • Content-based image retrieval
  • Data mining
  • Feature extraction
  • Image data warehouse
  • Image indexing and search

ASJC Scopus subject areas

  • Engineering(all)

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