DocumentCode
2031580
Title
Finding similar patterns in large image databases
Author
Picard, R.W. ; Kabir, T.
Author_Institution
Media Lab., MIT, Cambridge, MA, USA
Volume
5
fYear
1993
fDate
27-30 April 1993
Firstpage
161
Abstract
Automated searching through large sets of images to find a pattern ´similar to this one´ is considered. A key recognition method is evaluated on a library of almost 1000 images, based on the entire Brodatz texture album. The features used for searching rely on a significant improvement to the traditional Karhunen-Loeve (KL) transform which makes it shift-invariant. Results are shown for a variety of false alarm rates and for different subsets of KL features.<>
Keywords
image recognition; image texture; search problems; very large databases; visual databases; Brodatz texture album; Karhunen-Loeve transform; automated searching; false alarm rates; large image databases; similar patterns;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location
Minneapolis, MN, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.1993.319772
Filename
319772
Link To Document