Fixed attribute-length linear quadtree representations for storing similar images

Tsong-Wuu Lin

doi:10.1117/12.290348

6 October 1997 Fixed attribute-length linear quadtree representations for storing similar images

Tsong-Wuu Lin

Proceedings Volume 3229, Multimedia Storage and Archiving Systems II; (1997) https://doi.org/10.1117/12.290348
Event: Voice, Video, and Data Communications, 1997, Dallas, TX, United States

Abstract

The pictures to be processed are consecutive images in many applications such as computer graphics, image processing, and geographic information systems. These consecutive images form a gradually changing data set. A large amount of memory space is required for storing these images if the similarity relation among them is ignored. Based on the linear quadtree structures and overlapping concepts, a fixed attribute-length quadtree representation is proposed for storing a sequence of similar binary images. Unfortunately, it is inefficient when the overlapping percentages of images are high. We modify its representation to eliminate the drawback. The modified structures work well and their space reductions are greater than the overlapping percentage of these consecutive images. Experiments will be made to compare our representation with other overlapping structures. From the experiments, our representation is shown to be better than other representations.

Citation Download Citation

Tsong-Wuu Lin "Fixed attribute-length linear quadtree representations for storing similar images", Proc. SPIE 3229, Multimedia Storage and Archiving Systems II, (6 October 1997); https://doi.org/10.1117/12.290348

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available