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Proceedings Paper

Compressed-domain document retrieval and analysis
Author(s): Omid E. Kia; David Scott Doermann; Rama Chellappa
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Paper Abstract

In this paper, we first describe a structural compression technique which has been designed to facilitate document text image storage, retrieval, and processing. This technique provides an efficient representation of textural images and lends itself to lossy compression, progressive transmission, direct access to sub-regions of the document and document processing in the compressed domain. We describe a data structure which can be used to efficiently store the compressed information, provide algorithms for creating and manipulating it, and present results of document processing on images compressed form the University of Washington database.

Paper Details

Date Published: 1 November 1996
PDF: 12 pages
Proc. SPIE 2916, Multimedia Storage and Archiving Systems, (1 November 1996); doi: 10.1117/12.257287
Show Author Affiliations
Omid E. Kia, Univ. of Maryland/College Park (United States)
David Scott Doermann, Univ. of Maryland/College Park (United States)
Rama Chellappa, Univ. of Maryland/College Park (United States)


Published in SPIE Proceedings Vol. 2916:
Multimedia Storage and Archiving Systems
C.-C. Jay Kuo, Editor(s)

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