A CBIR method based on color-spatial feature

Author

Lei, Zhang ; Fuzong, Lin ; Bo, Zhang

Author_Institution

Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China

Volume

1

fYear

1999

fDate

1999

Firstpage

166

Abstract

Along with the analysis of color features in the hue, saturation and value (HSV) space, a new dividing method to quantize the color space into 36 non-uniform bins is introduced in this paper. Based on this quantization method we propose a color-spatial method to include several spatial features of the colors in an image for retrieval. These features are area and position, which mean the zero-order and the first-order moments, respectively. Experiments on an image database of 838 images show that the algorithm performs well in precision and adaptability

Keywords

content-based retrieval; feature extraction; image colour analysis; quantisation (signal); CBIR method; HSV space; algorithm; area; color space quantization; color-spatial feature; color-spatial method; computational complexity; content-based image retrieval; experiments; first-order moment; hue; image database; nonuniform bins; position; saturation; value; zero-order moment; Computer science; Content based retrieval; Histograms; Image analysis; Image color analysis; Image retrieval; Intelligent systems; Laboratories; Quantization; Space technology;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 99. Proceedings of the IEEE Region 10 Conference

Conference_Location

Cheju Island

Print_ISBN

0-7803-5739-6

Type

conf

DOI

10.1109/TENCON.1999.818376

Filename

818376