Title

Storage And Management Of Similar Images

Keywords

Generic Quad-Tree; Image comparison; Image processing application; Image representation; Operations on quad-trees; Optimization of memory space

Abstract

Numerical images are becoming more and more important and an increasing emphasis on multimedia applications has resulted in large volumes of images. However, images need a large memory space to be stored, so their efficient storage and retrieval generate challenges to the database community. This paper proposes a new algorithm for an efficient storage of sets of images. It is based on a version approach used in databases. It shows how to store and operate on similar images; two images are defined as similar if the quad-trees encoding them have only few different nodes. A data structure called Generic Quad-Tree (GQT) is proposed. It optimizes the memory space required to store similar images and allows an efficient navigation among them. An Image Tree stores the ancestors and descendants of an image, like a version hierarchy. Using the Image Tree, the Generic Quad-Tree allows an image to share common parts with its ancestors and descendants. The GQT approach and some algorithms for reading, modifying or removing images from the Generic Quad-Tree are described. Examples using black and white images and gray scale images are presented.

Publication Date

1-1-2000

Publication Title

Journal of the Brazilian Computer Society

Volume

6

Issue

3

Number of Pages

13-25

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1590/S0104-65002000000100003

Socpus ID

44449100426 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/44449100426

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