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Describing and Assessing Image Descriptions for Visually Impaired Web Users with IDAT

  • Julius T. Nganji
  • Mike Brayshaw
  • Brian Tompsett
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 179)

Abstract

People with visual impairments, particularly blind people face alot of difficulties browsing the web with assistive technologies such as screen readers, when websites do not conform to accessibility standards and are thus inaccessible. HTML is the basic language for website design but its ALT attribute on the IMG element does not adequately capture comprehensive image semantics and description in a way that can be accurately interpreted by screen readers, hence blind people do not usually get the complete description of the image. Most of the problems however arise from web designers and developers not including a description of an image or not comprehensively describing these images to people with visual impairments. In this paper, we propose the use of the Image Description Assessment Tool (IDAT), a Java-based tool containing some proposed heuristics for assessing how well an image description matches the real content of the image on the web. The tool also contains a speech interface which can enable a visually impaired individual to listen to the description of an image that has been uploaded unto the system.

Keywords

Resource Description Framework Disable People Assistive Technology Weighting Score Image Description 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors would like to thank the Department of Computer Science, University of Hull, UK for funding that enabled this research to be carried out and presented. Many thanks to the anonymous reviewers of this paper for their comments and to Shawulu H. Nggada for his insightful comments on refining and improving IDAT.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Julius T. Nganji
    • 1
  • Mike Brayshaw
    • 2
  • Brian Tompsett
    • 2
  1. 1.Distributed Reliable Intelligent Systems (DRIS) Lab, Department of Computer ScienceUniversity of HullHullUnited Kingdom
  2. 2.Department of Computer ScienceUniversity of HullHullUnited Kingdom

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