A New Content-Based Image Retrieval

Author

Zhang, Zhen-hua ; Quan, Yong ; Li, Wen-Hui ; Guo, Wu

Author_Institution

Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

4013

Lastpage

4018

Abstract

Color features are important to pictures and they are easy to calculate. Therefore, the features are widely used in content-based image retrieval (CBIR). A color histogram describes the frequency of colors in images. It won´t change with the variations of pictures´ geometry, so it is a widely used feature for image indexing although it has some shortcomings. In this paper, we propose a new color space quantization arithmetic and a new histogram similarity function with respect to the shortcoming and make a prototype system for image indexing. The experiments show that the new color image retrieval algorithm is effective and robust

Keywords

content-based retrieval; data compression; database indexing; feature extraction; image coding; image colour analysis; image retrieval; color image retrieval algorithm; color space quantization arithmetic; content-based image retrieval; histogram similarity function; image color feature; image color histogram; image indexing; picture geometry; Arithmetic; Color; Content based retrieval; Frequency; Geometry; Histograms; Image retrieval; Indexing; Prototypes; Quantization; Color feature; Color histogram; Content-based image retrieval; HSV color space;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258801

Filename

4028774