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...
| Main Authors: | , |
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| Format: | Book Chapter |
| Language: | English |
| Published: |
IIUM Press
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/20136/ http://irep.iium.edu.my/20136/1/Tagging_Web_Images_for_Blind_Users.pdf |
| _version_ | 1848778519368171520 |
|---|---|
| author | Misman, Ahmad Fatzilah Blanchfield, Peter |
| author_facet | Misman, Ahmad Fatzilah Blanchfield, Peter |
| author_sort | Misman, Ahmad Fatzilah |
| building | IIUM Repository |
| collection | Online Access |
| 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 |
| first_indexed | 2025-11-14T15:03:10Z |
| format | Book Chapter |
| id | iium-20136 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:03:10Z |
| publishDate | 2011 |
| publisher | IIUM Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |
| spellingShingle | QA75 Electronic computers. Computer science T Technology (General) Misman, Ahmad Fatzilah Blanchfield, Peter Tagging web images for blind users. |
| title | 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_short | Tagging web images for blind users. |
| title_sort | tagging web images for blind users. |
| topic | QA75 Electronic computers. Computer science T Technology (General) |
| 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 |