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Summarizing multimodal documents in popular media for people with visual impairments

Summarizing multimodal documents in popular media for people with visual impairments Summarizing Multimodal Documents in Popular Media for People with Visual Impairments Charles F. Greenbacker Dept. of Computer and Information Sciences University of Delaware Newark, Delaware, USA charlieg@cis.udel.edu Abstract People without visual impairments often skim a document and look at the graphics it contains before deciding whether to read it in detail. While this is easy for sighted people, it is far more challenging for people with visual impairments, especially since the graphical content is largely inaccessible. We propose to increase the universal accessibility of articles in popular media containing both text and graphical elements for people with visual impairments by automatically generating an abstractive summary of the entire multimodal document. Our goal is to enable users to quickly access the high-level content of a multimodal document, and to decide whether to commit to reading the full article. Motivation Articles in popular media such as magazines and newspapers frequently contain graphical content in addition to the document text. These graphics often convey a message that is not repeated in the article text. For example, an article entitled •The Black Gender Gap – in the March 3, 2003 issue of Newsweek described the professional achievements of black women. It included http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGACCESS Accessibility and Computing Association for Computing Machinery

Summarizing multimodal documents in popular media for people with visual impairments

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References (8)

Publisher
Association for Computing Machinery
Copyright
Copyright © 2012 by ACM Inc.
ISSN
1558-2337
DOI
10.1145/2140446.2140449
Publisher site
See Article on Publisher Site

Abstract

Summarizing Multimodal Documents in Popular Media for People with Visual Impairments Charles F. Greenbacker Dept. of Computer and Information Sciences University of Delaware Newark, Delaware, USA charlieg@cis.udel.edu Abstract People without visual impairments often skim a document and look at the graphics it contains before deciding whether to read it in detail. While this is easy for sighted people, it is far more challenging for people with visual impairments, especially since the graphical content is largely inaccessible. We propose to increase the universal accessibility of articles in popular media containing both text and graphical elements for people with visual impairments by automatically generating an abstractive summary of the entire multimodal document. Our goal is to enable users to quickly access the high-level content of a multimodal document, and to decide whether to commit to reading the full article. Motivation Articles in popular media such as magazines and newspapers frequently contain graphical content in addition to the document text. These graphics often convey a message that is not repeated in the article text. For example, an article entitled •The Black Gender Gap – in the March 3, 2003 issue of Newsweek described the professional achievements of black women. It included

Journal

ACM SIGACCESS Accessibility and ComputingAssociation for Computing Machinery

Published: Jan 1, 2012

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