Tagging web images for blind users.

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 web image automatic descriptors are largely done from the per...

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Bibliographic Details
Main Authors:	Misman, Ahmad Fatzilah, Blanchfield, Peter
Format:	Book Chapter
Language:	English
Published:	IIUM Press 2011
Subjects:	QA75 Electronic computers. Computer science T Technology (General)
Online Access:	http://irep.iium.edu.my/20136/ http://irep.iium.edu.my/20136/ http://irep.iium.edu.my/20136/1/Tagging_Web_Images_for_Blind_Users.pdf

id	iium-20136
recordtype	eprints
spelling	iium-201362012-07-22T07:52:06Z http://irep.iium.edu.my/20136/ Tagging web images for blind users. Misman, Ahmad Fatzilah Blanchfield, Peter QA75 Electronic computers. Computer science T Technology (General) 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 web image automatic descriptors are largely done from the perspective of the fields of the He!. the semantic web. the information retrieval or a hybrid approach. This paper however suggests that a solution is possible by adapting the web images resources considering the factors for web image's being used in developer's and blind user's perspectives. An effective and appropriate auto image tagger may consider this v IIUM Press 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/20136/1/Tagging_Web_Images_for_Blind_Users.pdf Misman, Ahmad Fatzilah and Blanchfield, Peter (2011) Tagging web images for blind users. In: Issues of human computer interactions and system developments. IIUM Press, Kuala Lumpur, pp. 41-49. ISBN 978-967-418-082-9 http://rms.research.iium.edu.my/bookstore/default.aspx
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 T Technology (General)
spellingShingle	QA75 Electronic computers. Computer science T Technology (General) Misman, Ahmad Fatzilah Blanchfield, Peter Tagging web images for blind users.
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 web image automatic descriptors are largely done from the perspective of the fields of the He!. the semantic web. the information retrieval or a hybrid approach. This paper however suggests that a solution is possible by adapting the web images resources considering the factors for web image's being used in developer's and blind user's perspectives. An effective and appropriate auto image tagger may consider this v
format	Book Chapter
author	Misman, Ahmad Fatzilah Blanchfield, Peter
author_facet	Misman, Ahmad Fatzilah Blanchfield, Peter
author_sort	Misman, Ahmad Fatzilah
title	Tagging web images for blind users.
title_short	Tagging web images for blind users.
title_full	Tagging web images for blind users.
title_fullStr	Tagging web images for blind users.
title_full_unstemmed	Tagging web images for blind users.
title_sort	tagging web images for blind users.
publisher	IIUM Press
publishDate	2011
url	http://irep.iium.edu.my/20136/ http://irep.iium.edu.my/20136/ http://irep.iium.edu.my/20136/1/Tagging_Web_Images_for_Blind_Users.pdf
first_indexed	2023-09-18T20:30:10Z
last_indexed	2023-09-18T20:30:10Z
_version_	1777408682669113344

Tagging web images for blind users.

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