Title :
Percentile blobs for image similarity
Author :
Howe, Nicholas R.
Author_Institution :
Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA
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;
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
DOI :
10.1109/IVL.1998.694503
