Title :
Finding similar patterns in large image databases
Author :
Picard, R.W. ; Kabir, T.
Author_Institution :
Media Lab., MIT, Cambridge, MA, USA
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.1993.319772
