Adapting web images for blind people
One way to remedy the gap that evidently exists between the image element on the web and the web user who is visually blind is by redefining connection between the image and the abundant element of the web itself i.e. text. Studies on the exploitation are done largely related to the fields like the...
Main Authors: | , |
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Format: | Proceeding Paper |
Language: | English |
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2011
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Online Access: | http://irep.iium.edu.my/21792/1/adapting_web_images_for_blind_people.pdf |
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author | Misman, Ahmad Fatzilah Blanchfield, Peter |
author_facet | Misman, Ahmad Fatzilah Blanchfield, Peter |
author_sort | Misman, Ahmad Fatzilah |
collection | IIUM |
description | One way to remedy the gap that evidently exists between the image element on the web and the web user who is visually blind is by redefining connection between the image and the abundant element of the web itself i.e. text. Studies on the exploitation are done largely related to the fields like the HCI, the semantic web, the information retrieval or even a new hybrid approach. However, often many see the problem from the perspective of the third party. This position paper posits that the problem can also be seen from the fundamental reasons for an image being on a web page without neglecting the connection that develops from the web user's perspective. Effective and appropriate image tagging may consider this view. |
first_indexed | 2024-03-05T23:01:03Z |
format | Proceeding Paper |
id | oai:generic.eprints.org:21792 |
institution | International Islamic University Malaysia |
language | English |
last_indexed | 2024-03-13T18:45:31Z |
publishDate | 2011 |
record_format | dspace |
spelling | oai:generic.eprints.org:217922012-02-29T01:08:42Z http://irep.iium.edu.my/21792/ Adapting web images for blind people Misman, Ahmad Fatzilah Blanchfield, Peter QA75 Electronic computers. Computer science One way to remedy the gap that evidently exists between the image element on the web and the web user who is visually blind is by redefining connection between the image and the abundant element of the web itself i.e. text. Studies on the exploitation are done largely related to the fields like the HCI, the semantic web, the information retrieval or even a new hybrid approach. However, often many see the problem from the perspective of the third party. This position paper posits that the problem can also be seen from the fundamental reasons for an image being on a web page without neglecting the connection that develops from the web user's perspective. Effective and appropriate image tagging may consider this view. 2011 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/21792/1/adapting_web_images_for_blind_people.pdf Misman, Ahmad Fatzilah and Blanchfield, Peter (2011) Adapting web images for blind people. In: WEBIST 2011, Proceedings of the 7th International Conference on Web Information Systems and Technologies, 6-9 May 2011, Noordwijkerhout, Netherlands. http://www.webist.org/Abstracts/2011/WEBIST_2011_Abstracts.htm#Area7FullPapers |
spellingShingle | QA75 Electronic computers. Computer science Misman, Ahmad Fatzilah Blanchfield, Peter Adapting web images for blind people |
title | Adapting web images for blind people |
title_full | Adapting web images for blind people |
title_fullStr | Adapting web images for blind people |
title_full_unstemmed | Adapting web images for blind people |
title_short | Adapting web images for blind people |
title_sort | adapting web images for blind people |
topic | QA75 Electronic computers. Computer science |
url | http://irep.iium.edu.my/21792/1/adapting_web_images_for_blind_people.pdf |
work_keys_str_mv | AT mismanahmadfatzilah adaptingwebimagesforblindpeople AT blanchfieldpeter adaptingwebimagesforblindpeople |