Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10192
Title: Frequency layered color indexing for content-based image retrieval
Authors: Qiu, G
Lam, KM 
Keywords: Color indexing
Content-based image retrieval
Human vision
Signal analysis
Issue Date: 2003
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on image processing, 2003, v. 12, no. 1, p. 102-113 How to cite?
Journal: IEEE transactions on image processing 
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.
URI: http://hdl.handle.net/10397/10192
ISSN: 1057-7149
EISSN: 1941-0042
DOI: 10.1109/TIP.2002.806228
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