Compressed-domain document retrieval and analysis

Omid E. Kia; David Scott Doermann; Rama Chellappa

doi:10.1117/12.257287

1 November 1996 Compressed-domain document retrieval and analysis

Omid E. Kia, David Scott Doermann, Rama Chellappa

Proceedings Volume 2916, Multimedia Storage and Archiving Systems; (1996) https://doi.org/10.1117/12.257287
Event: Photonics East '96, 1996, Boston, MA, United States

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.

Citation Download Citation

Omid E. Kia, David Scott Doermann, and Rama Chellappa "Compressed-domain document retrieval and analysis", Proc. SPIE 2916, Multimedia Storage and Archiving Systems, (1 November 1996); https://doi.org/10.1117/12.257287

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