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