Paper
27 December 2000 DjVu document browsing with on-demand loading and rendering of image components
Yann Le Cun, Leon Bottou, Andrei Erofeev, Patrick Haffner, Bill Riemers
Author Affiliations +
Proceedings Volume 4311, Internet Imaging II; (2000) https://doi.org/10.1117/12.411887
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
Abstract
Image-based digital documents are composed of multiple pages, each of which may be composed of multiple components such as the test, pictures background, and annotations. We describe the image structure and software architecture that allows the DjVu system to load and render the required components on demand while minimizing the bandwidth requirements, and the memory requirements in the client. DjVu document files are merely a list of enriched URLs that point to individual files (or file elements) that contain image components. Image components include :text images, background images, shape dictionaries shared by multiple pages, OCRed text, and several types of annotations. A multithreaded software architecture with smart caching allows individual components to be loaded and pre-decoded and rendered on-demand. Pages are pre-fetched or loaded on demand, allowing users to randomly access pages without downloading the entire document, and without the help of a byte server. Components that are shared across pages (e.g. shape dictionaries, or background layers) are loaded as required and cached. This greatly reduces the overall bandwidth requirements. Shared dictionaries allow 40% typical file size reduction for scanned bitonal documents at 300dpi. Compression ratios on scanned US patents at 300dpi are 5.2 to 10.2 times higher than GroupIV with shared dictionaries and 3.6 to 8.5 times higher than GroupIV without shared dictionaries.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yann Le Cun, Leon Bottou, Andrei Erofeev, Patrick Haffner, and Bill Riemers "DjVu document browsing with on-demand loading and rendering of image components", Proc. SPIE 4311, Internet Imaging II, (27 December 2000); https://doi.org/10.1117/12.411887
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image compression

Wavelets

Image segmentation

Associative arrays

Image processing

Internet

Zoom lenses

RELATED CONTENT


Back to Top