25Mar 2017

MULTI-CHANNEL MEDIA ANNOTATION USING SOCIAL ACCESSIBILITY COMPUTING.

  • Department of Computer Science, School of Engineering and Technology, Pondicherry University,Puducherry, India.
  • Department of Management Studies, School of Management (DMS), Pondicherry University, Puducherry, India.
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Today, we are in modern world; it is changing at neck speed towards technology. Low vision persons make use of vision and other senses to understand and learn. Low vision means severe visual impairment; they cannot read the content at a normal viewing distance, even with the help of power glasses or with lenses, not with necessarily limited to distance vision. Carrying out of their daily activities is often a major problem. Activities that are previously taken for granted, such as dressing, eating, writing, travelling and simple communications or interacting with other people are hampered. One of the mobile applications was proposed to facilitate them, to identify and tell the things or information through voice by a social networking people using photos, videos or by sending portable document format [pdf] image which is to be uploaded by the low vision people. This will help them to identify things which are before them without interacting with their neighboring people so that they can proceed in a hopeful manner. This paper was proposed with a mobile application developed for low vision people.

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[Gayathri. S, Dinesh. K and Saranya. S (2017); MULTI-CHANNEL MEDIA ANNOTATION USING SOCIAL ACCESSIBILITY COMPUTING. Int. J. of Adv. Res. 5 (Mar). 957-965] (ISSN 2320-5407). www.journalijar.com

Gayathri. S
Pondicherry University

DOI:

Article DOI: 10.21474/IJAR01/3595      
DOI URL: https://dx.doi.org/10.21474/IJAR01/3595

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