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
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;
Conference_Titel :
Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5272-9
DOI :
10.1109/CNMT.2009.5374807
