DocumentCode :
3057069
Title :
Scene retrieval with color moment invariant
Author :
Chen, Xiao ; Li, Jianxun ; Wu, Jiayun
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2010
fDate :
28-30 June 2010
Firstpage :
540
Lastpage :
544
Abstract :
In this paper, a novel scene retrieval method has been proposed. Under this framework, homogeneous color regions are detected and then described by color moment invariants. Different from most existing methods, color and spatial information are combined as the uniform descriptor to capture the image property. Moreover, the image descriptor in our method has alterable data structure, whose size is adaptive to the context of the image itself by a two-stage clustering technique. Experimental results show that this method has improved efficiency and robustness of color based image retrieval methods, without the cost of simplicity and compactness.
Keywords :
data structures; image colour analysis; image retrieval; color based image retrieval methods; color information; color moment invariant; data structure; homogeneous color regions; image descriptor; scene retrieval method; spatial information; two-stage clustering technique; Automation; Colored noise; Content based retrieval; Data structures; Image retrieval; Information retrieval; Layout; Lighting; Mechanical engineering; Noise robustness; color moment invariant; content based image retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics Automation and Mechatronics (RAM), 2010 IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-6503-3
Type :
conf
DOI :
10.1109/RAMECH.2010.5513137
Filename :
5513137
Link To Document :
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