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...

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Main Authors: Misman, Ahmad Fatzilah, Blanchfield, Peter
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
Online Access:http://irep.iium.edu.my/21792/
http://irep.iium.edu.my/21792/
http://irep.iium.edu.my/21792/1/adapting_web_images_for_blind_people.pdf
id iium-21792
recordtype eprints
spelling iium-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 Conference or Workshop Item 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
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Misman, Ahmad Fatzilah
Blanchfield, Peter
Adapting web images for blind people
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.
format Conference or Workshop Item
author Misman, Ahmad Fatzilah
Blanchfield, Peter
author_facet Misman, Ahmad Fatzilah
Blanchfield, Peter
author_sort Misman, Ahmad Fatzilah
title Adapting web images for blind people
title_short 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_sort adapting web images for blind people
publishDate 2011
url http://irep.iium.edu.my/21792/
http://irep.iium.edu.my/21792/
http://irep.iium.edu.my/21792/1/adapting_web_images_for_blind_people.pdf
first_indexed 2023-09-18T20:33:15Z
last_indexed 2023-09-18T20:33:15Z
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