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Content Provider | Springer Nature Link |
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Author | Kia, Omid E. Doermann, David S. |
Copyright Year | 1998 |
Abstract | Document images belong to a unique class of images where the information is embedded in the language represented by a series of symbols on the page rather than in the visual objects themselves. Since these symbols tend to appear repeatedly, a domain-specific image coding strategy can be designed to facilitate enhanced compression and retrieval. In this paper we describe a coding methodology that not only exploits component-level redundancy to reduce code length but also supports efficient data access. The approach identifies and organizes symbol patterns which appear repeatedly. Similar components are represented by a single prototype stored in a library and the location of each component instance is coded along with the residual between it and its prototype. A representation is built which provides a natural information index allowing access to individual components. Compression results are competitive and compressed-domain access is superior to competing methods. Applications to network-related problems have been considered, and show promising results. |
Starting Page | 121 |
Ending Page | 135 |
Page Count | 15 |
File Format | |
ISSN | 09225773 |
Journal | Journal of Signal Processing Systems |
Volume Number | 20 |
Issue Number | 1-2 |
Language | English |
Publisher | Kluwer Academic Publishers |
Publisher Date | 1998-10-01 |
Publisher Place | Boston |
Access Restriction | Subscribed |
Subject Keyword | Signal, Image and Speech Processing Circuits and Systems Electrical Engineering Image Processing and Computer Vision Pattern Recognition Computer Imaging, Vision, Pattern Recognition and Graphics |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Information Systems Electrical and Electronic Engineering |
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