DocumentCode
2127837
Title
Percentile blobs for image similarity
Author
Howe, Nicholas R.
Author_Institution
Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA
fYear
1998
fDate
35967
Firstpage
78
Lastpage
83
Abstract
We present a new algorithm called PBSIM for computing image similarity, based upon a novel method of extracting bloblike features from images. In tests on a classification task using a data set of over 1000 images, PBSIM shows significantly higher accuracy than algorithms based upon color histograms, as well as previously reported results for another approach based upon bloblike features
Keywords
feature extraction; image classification; image matching; visual databases; PBSIM algorithm; color histograms; feature extraction; image classification; image database; image similarity; percentile blobs; Computer science; Feature extraction; Focusing; Histograms; Image databases; Image processing; Image retrieval; Read only memory; Spatial databases; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Content-Based Access of Image and Video Libraries, 1998. Proceedings. IEEE Workshop on
Conference_Location
Santa Barbara, CA
Print_ISBN
0-8186-8544-1
Type
conf
DOI
10.1109/IVL.1998.694503
Filename
694503
Link To Document