Managing Gigabytes: Compressing and Indexing Documents and Images
Managing Gigabytes: Compressing and Indexing Documents and Images
Browsing through High Quality Document Images with DjVu
ADL '98 Proceedings of the Advances in Digital Libraries Conference
Efficient Conversion of Digital Documents to Multilayer Raster Formats
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
A Means for Achieving a High Degree of Compaction on Scan-Digitized Printed Text
IEEE Transactions on Computers
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Online access to complex compound documents with client side search and browsing capability is one of the key requirements of effective content management. "DjVu" (D茅j脿 Vu) is a highly efficient document image compression methodology, a file format, and a delivery platform that, when considered together, has shown to effectively address these issues [1]. Originally developed for scanned color documents, the DjVu technology was recently expanded to electronic documents. The small file sizes and very efficient document browsing make DjVu a compelling alternative to such document interchange formats as PostScript or PDF. In addition, DjVu offers a uniform viewing experience for electronic or scanned original documents, on any platform, over any connection speed, which is ideal for digital libraries and electronic publishing. This paper describes the basics of DjVu encoding, with emphasis on the particular challenges posed by electronic sources. The DjVu Virtual Printer Driver we implemented as "Universal DjVu Converter" is then introduced. Basic performance statistics are given, and enterprise workflow applications of this technology are highlighted.