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
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;
Conference_Titel :
Signal Processing Conference, 2005 13th European
Conference_Location :
Antalya
Print_ISBN :
978-160-4238-21-1
