DocumentCode
3167748
Title
Content-based image retrieval using combination features
Author
Yuncheng, Du ; Gao Hui ; Wang Hongwei ; Shuicai, Shi
Author_Institution
Chinese Inf. Process. Res. Center, Beijing Inf. Sci. & Technol. Univ., Beijing, China
fYear
2010
fDate
29-30 Oct. 2010
Firstpage
659
Lastpage
662
Abstract
Image retrieval based on single feature is already quite mature, how to use these single features effectively is the key issue in improving the effect of the image retrieval. We often use the combination features to solve the problem. In this paper, we use the dynamic weight to combination these single features. Experimental results show that the algorithm using dynamic weight can accurately and efficiently retrieve the target image compared with using the method of using fixed weight. The method using the dynamic weight effectively improves the image retrieval accuracy.
Keywords
content-based retrieval; image retrieval; combination features; content-based image retrieval; dynamic weight; fixed weight; image retrieval accuracy; Education; Image edge detection; Image segmentation; Shape; Multi-features image retrieval; dynamic weight; fixed weight;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-6935-2
Type
conf
DOI
10.1109/ICAIE.2010.5641032
Filename
5641032
Link To Document