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Media Accessibility for Low-Vision Users in the MPEG-21 Multimedia Framework

Published: 01 August 2007 Publication History

Abstract

Ethical and legal requirements have made accessibility a crucial feature in any information systems. This paper presents a content adaptation framework, based on the MPEG-21 standard, to help low-vision users have better accessibility to visual contents. We first present an overview of MPEG-21 Digital Item Adaptation (DIA) and the low-vision description tool which enables interoperable content adaptation. This description tool lists seven low-vision symptoms, namely loss of fine detail, lack of contrast, central vision loss, peripheral vision loss, hemianopia, light sensitivity, and need of light. Then we propose a systematic contrast-enhancement method to improve the content visibility for low-vision users, focusing on the first two symptoms. The effectiveness of the low-vision description tool and our adaptation framework is verified by some experiments with an adaptation test-bed. The major advantages of the proposed approach include 1) support of a wide range of low-vision conditions, and 2) customized content adaptation to specific characteristics of each user.

References

[1]
America Foundation for the Blind, “Blindness and low vision,” http://www.afb.org/
[2]
“Web contents accessibility guidelines 1.0,” W3C Recommendation,May 1999.
[3]
C. Hofstader, “Internet accessibility: Beyond disability,” IEEE Computer, vol.37, no.9, pp.103–105, Sept. 2004.
[4]
ISO/IEC 21000-7, “Information technology — Multimedia framework — Part 7: DIA,” 2004.
[5]
S.J. Yang, T.C. Thang, and Y.M. Ro, “Content adaptation for visual impairment in MPEG-21,” Proc. SPIE Electronic Imaging, vol.5292, pp.80–89, Jan. 2004.
[6]
J. Nam, T.C. Thang, J. Song, Y.M. Ro, and J.W. Hong, “Report on CE for visual impairment,” ISO/IEC JTC1/SC29/WG11 m8958, Shanghai, China, Oct. 2002.
[7]
P. Lennie and S.B. Van Hemel, Visual Impairments: Determining Eligibility for Social Security Benefits, National Academy Press, Washington DC, 2002.
[8]
E. Peli, “Contrast in complex images,” J. Opt. Soc. America A, vol.7, pp.2032–2040, 1990.
[9]
E. Peli, R.B. Goldstein, G.M. Young, C.L. Trempe, and S.M. Buzney, “Image enhancement for the visually impaired: Simulations and experimental results,” Invest. Ophthalmol. Vis. Sci., vol.32, no.8, pp.2337–2350, 1991.
[10]
E. Peli, “Limitations of image enhancement for the visually impaired,” Optometry & Vision Science, vol.69, no.1, pp.15–24, 1992.
[11]
A. Vetro, “MPEG-21 digital item adaptation: Enabling universal multimedia access,” IEEE Multimedia, vol.11, no.1, pp.84–87, 2004.
[12]
Lighthouse International, “What the world looks like to people with low vision,” http://www.lighthouse.org
[13]
J. Ferwerda, S.N. Pattanaik, P. Shirley, and D.P. Greenberg, “A model of visual adaptation for realistic image synthesis,” Proc. SIGGRAPH'96, pp.249–258, New Orleans, Aug. 1996.
[14]
J. Tang, E. Peli, and S. Acton, “Image enhancement using a contrast measure in the compression domain,” IEEE Signal Process. Lett., vol.10, no.10, pp.289–292, Oct. 2003.
[15]
M.I. Sezan, A.M. Tekalp, and R. Schaetzing, “Automatic anatomically selective image enhancement in digital chest radiography,” IEEE Trans. Med. Imaging, vol.8, no.2, pp.154–162, June 1989.
[16]
T.-L. Ji, M.K. Sundareshan, and H. Roehrig, “Adaptive image contrast enhancement based on human visual properties,” IEEE Trans. Med. Imaging, vol.13, no.4, pp.573–586, Dec. 1994.
[17]
A. Polesel, G. Ramponi, and V.J. Mathews, “Image enhancement via adaptive unsharp masking,” IEEE Trans. Image Process., vol.9, no.3, pp.505–510, March 2000.
[18]
P.G. Barten, “The SQRI method: A new method for the evaluation of visible resolution on a display,” Proc. SID, vol.21, no.3, pp.253–262, 1987.
[19]
T.C. Thang, Y.J. Jung, and Y.M. Ro, “Effective adaptation of multimedia documents with modality conversion,” EURASIP Signal Processing: Image Communication Journal, vol.20, no.5, pp.413–434, June 2005.
[20]
Y.J. Jung, T.C. Thang, J. Lee, and Y.M. Ro, “Visual media adaptation system for active media,” Proc. Int. Conf. on Imaging Sci., Syst., and Tech., vol.2, pp.405–409, Las Vegas, 2003.

Cited By

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  • (2008)Towards iTV accessibilityProceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments10.1145/1389586.1389626(1-6)Online publication date: 16-Jul-2008

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Published In

cover image IEICE - Transactions on Information and Systems
IEICE - Transactions on Information and Systems  Volume E90-D, Issue 8
August 2007
191 pages
ISSN:0916-8532
EISSN:1745-1361
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Oxford University Press, Inc.

United States

Publication History

Published: 01 August 2007

Author Tags

  1. MPEG-21
  2. accessibility
  3. content adaptation
  4. low vision

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  • (2008)Towards iTV accessibilityProceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments10.1145/1389586.1389626(1-6)Online publication date: 16-Jul-2008

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