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Proceedings Paper

Data representation and handling for large image browsing
Author(s): Omid E. Kia; Alexandre Schaff; Jaakko J. Sauvola
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Paper 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.

Paper Details

Date Published: 5 October 1998
PDF: 10 pages
Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); doi: 10.1117/12.325836
Show Author Affiliations
Omid E. Kia, National Institute of Standards and Technology (United States)
Alexandre Schaff, National Institute of Standards and Technology (United States)
Jaakko J. Sauvola, Univ. of Oulu (Finland)


Published in SPIE Proceedings Vol. 3527:
Multimedia Storage and Archiving Systems III
C.-C. Jay Kuo; Shih-Fu Chang; Sethuraman Panchanathan, Editor(s)

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