Hierarchical clustering for image databases

Author

Bhatia, Sanjiv K.

Author_Institution

Dept. of Math. & Comput. Sci., Missouri Univ., St. Louis, MO

fYear

2005

fDate

22-25 May 2005

Lastpage

6

Abstract

The organization of an image database is one of the important issues in efficient storage and retrieval of images. Most of the existing image databases are based on flat structures, with the possibility of an index into the database that can help in narrowing down the images to be searched. In this paper, the author presents a technique to create a hierarchical data structure based on the clustering approach such that a user can select or discard a number of images for subsequent operations. The presented technique is based on application of wavelet analysis to scale the images in hierarchy, and can take advantage of the structure of compressed images in the JPEG 2000 standard

Keywords

data compression; data structures; image coding; pattern clustering; visual databases; wavelet transforms; JPEG 2000 standard; hierarchical clustering; hierarchical data structure; image compression; image databases; image retrieval; image storage; wavelet analysis; Data structures; Image analysis; Image coding; Image databases; Image retrieval; Image storage; Indexes; Information retrieval; Transform coding; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Electro Information Technology, 2005 IEEE International Conference on

Conference_Location

Lincoln, NE

Print_ISBN

0-7803-9232-9

Type

conf

DOI

10.1109/EIT.2005.1626987

Filename

1626987