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

Jia You, King Hong Cheung, James Liu, Linong Guo

Research output: Journal article publicationConference articleAcademic researchpeer-review

2 Citations (Scopus)


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 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 wavelet-based image color hierarchy, classification of satellite images, tropical cyclone pattern recognition, and personal identification using multi-level palmprint and face features.
Original languageEnglish
Pages (from-to)559-570
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 1 Dec 2004
EventStorage and Retrieval Methods and Applications for Multimedia 2004 - San Jose, CA, United States
Duration: 20 Jan 200422 Jan 2004


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

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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