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The role of compressed document images in transmission and retrieval

  • University of Maryland, College Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Document images belong to a unique class of ima.ges where the information content is contained in the language represented by a series of symbols on the page, rather than in the visual objects themselves. For this reason, it is essential to preserve the fidelity of individual components when considering methods of compression. Likewise the component level structure should be a prime consideration when ordering information for lossy or progressive transmission. In this paper we refhe our work on document image compression as it applies to transmission and retrieval. We first overview the basic compression scheme, then describe a structural hierarchy whiclh provides desirable properties for transmission. We present the results of a rate distortion experiment and discuss the implications for network applications.

Original languageEnglish
Title of host publication1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997
EditorsYao Wang, Amy R. Reibman, B. H. Juang, Tsuhan Chen, Sun-Yuan Kung
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages331-336
Number of pages6
ISBN (Electronic)0780337808, 9780780337800
DOIs
StatePublished - 1997
Event1st IEEE Workshop on Multimedia Signal Processing, MMSP 1997 - Princeton, United States
Duration: Jun 23 1997Jun 25 1997

Publication series

Name1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997

Conference

Conference1st IEEE Workshop on Multimedia Signal Processing, MMSP 1997
Country/TerritoryUnited States
CityPrinceton
Period06/23/9706/25/97

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