DocumentCode
2991830
Title
Image Retrieval Based on Color Saliency Histogram
Author
Yunqi Lei ; Zhenxiang Shi ; Xutuan Jiang ; Qingmin Li ; Dongjie Chen
Author_Institution
Dept. of Comput. Sci., Xiamen Univ., Xiamen, China
fYear
2009
fDate
18-20 Jan. 2009
Firstpage
1
Lastpage
4
Abstract
A new image retrieval method based on color saliency histogram is proposed. Two features of a given image, the radius entropy and angle entropy, are defined and used to describe the spatial distribution of color, then, combining the entropies with the color coherence value, the saliency of each kind of color is calculated. After that, the color saliency histogram is built for image retrieval. Experimental results show that the proposed method is feasible and more effective.
Keywords
image colour analysis; image retrieval; angle entropy; color coherence value; color saliency histogram; image retrieval method; radius entropy; spatial distribution; Belts; Computer science; Content based retrieval; Feature extraction; Histograms; Image retrieval; Image segmentation; Information entropy; Information retrieval; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5272-9
Type
conf
DOI
10.1109/CNMT.2009.5374807
Filename
5374807
Link To Document