Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258801
