1998
@inproceedings{KSS1998,
vgclass = {refpap},
vgproject = {cbir},
author = {Omid E. Kia and Alexandre Schaff and Jaakko J. Sauvola},
title = {Data Representation and Handling for Large Image
Browsing},
editor = {C.-C. Jay Kuo and Shih-Fu Chang and Sethuraman
Panchanathan},
booktitle = {Multimedia Storage and Archiving Systems III (VV02)},
address = {Boston, Massachusetts, USA},
volume = {3527},
series = {SPIE Proceedings},
pages = {37--46},
month = {November},
year = {1998},
note = {(SPIE Symposium on Voice, Video and Data Communications)},
abstract = {In this paper we present results of work done on large
image browsing. Advances in compression and transmission have allowed
efficient usage of storage and transmission resources; however, much
work needs to be done in order to integrate such concepts in the
processing and handling of data. One such problem is image browsing.
Large images, in order of hundreds of Megabytes to Gigabytes exist that
not only strain storage resources of some computers but make
transmission almost impossible for dialup networks or even some digital
networks. By exploiting the fact that receiving nodes need to only view
limited regions of the image, a data organization and handling
mechanism is devised to serve the appropriate data in a timely fashion.
A wavelet-based approach is pursued with desirable compression and
progressive characteristics along with scalar and spatial access to
pixel data.},
}