Frequency layered color indexing for content-based image retrieval

Guoping Qiu, Kin Man Lam

Research output: Journal article publicationJournal articleAcademic researchpeer-review

26 Citations (Scopus)

Abstract

Image patches of different spatial frequencies are likely to have different perceptual significance as well as reflect different physical properties. Incorporating such concept is helpful to the development of more effective image retrieval techniques. In this paper, we introduce a method which separates an image into layers, each of which retains only pixels in areas with similar spatial frequency characteristics and uses simple low-level features to index the layers individually. The scheme associates indexing features with perceptual and physical significance thus implicitly incorporating high level knowledge into low level features. We present a computationally efficient implementation of the method, which enhances the power and at the same time retains the simplicity and elegance of basic color indexing. Experimental results are presented to demonstrate the effectiveness of the method.
Original languageEnglish
Pages (from-to)102-113
Number of pages12
JournalIEEE Transactions on Image Processing
Volume12
Issue number1
DOIs
Publication statusPublished - 1 Jan 2003

Keywords

  • Color indexing
  • Content-based image retrieval
  • Human vision
  • Signal analysis

ASJC Scopus subject areas

  • Software
  • Medicine(all)
  • Computer Graphics and Computer-Aided Design

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