DocumentCode
698737
Title
Category pruning in image databases using segmentation and distance maps
Author
Sumengen, Baris ; Manjunath, B.S.
Author_Institution
ECE Dept., UC, Santa Barbara, CA, USA
fYear
2005
fDate
4-8 Sept. 2005
Firstpage
1
Lastpage
4
Abstract
A novel framework for pruning a category of images is proposed in this paper. We assume no prior information about the contents or semantics of the images. Our framework discovers consistencies and knowledge about the spatial relations of the categories unsupervised using iterative image segmentation and spatial grouping. A measure for deciding how well an image fits to a category is proposed and the effectiveness of this measure is investigated.
Keywords
data mining; image segmentation; iterative methods; visual databases; category pruning; distance maps; image databases; iterative image segmentation; knowledge discovery; spatial grouping; spatial relations; Histograms; Image color analysis; Image databases; Image segmentation; Satellites; Semantics; Web sites;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2005 13th European
Conference_Location
Antalya
Print_ISBN
978-160-4238-21-1
Type
conf
Filename
7078331
Link To Document