On hierarchical content-based image retrieval by dynamic indexing and guided search

Jia You, Qin Li

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

4 Citations (Scopus)


This paper presents a new approach to contentbased 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 for 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 waveletbased image color hierarchy, classification of satellite images, tropical cyclone pattern recognition, and personal identification using multi-level palmprint and face features.
Original languageEnglish
Title of host publicationProceedings of the 2009 8th IEEE International Conference on Cognitive Informatics, ICCI 2009
Number of pages8
Publication statusPublished - 17 Nov 2009
Event2009 8th IEEE International Conference on Cognitive Informatics, ICCI 2009 - Kowloon, Hong Kong, Hong Kong
Duration: 15 Jun 200917 Jun 2009


Conference2009 8th IEEE International Conference on Cognitive Informatics, ICCI 2009
Country/TerritoryHong Kong
CityKowloon, Hong Kong


  • Content-based image retrieval
  • Data mining
  • Image classification
  • Image data warehouse
  • Image indexing
  • Similarity measures
  • Wavelet transform

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems
  • Software

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