Video annotation wiki for South African sign language

Masters of Science === The SASL project at the University of the Western Cape aims at developing a fully automated translation system between English and South African Sign Language (SASL). Three important aspects of this system require SASL documentation and knowledge. These are: recognition of SAS...

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Bibliographic Details
Main Author: Adam, Jameel
Other Authors: Connan, James
Language:en
Published: University of the Western Cape 2013
Subjects:
Online Access:http://hdl.handle.net/11394/2029
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-uwc-oai-etd.uwc.ac.za-11394-20292017-08-02T04:00:13Z Video annotation wiki for South African sign language Adam, Jameel Connan, James Dept. of Computer Science Faculty of Science Sign language Optical pattern recognition Image processing Digital video South Africa Masters of Science The SASL project at the University of the Western Cape aims at developing a fully automated translation system between English and South African Sign Language (SASL). Three important aspects of this system require SASL documentation and knowledge. These are: recognition of SASL from a video sequence, linguistic translation between SASL and English and the rendering of SASL. Unfortunately, SASL documentation is a scarce resource and no official or complete documentation exists. This research focuses on creating an online collaborative video annotation knowledge management system for SASL where various members of the community can upload SASL videos to and annotate them in any of the sign language notation systems, SignWriting, HamNoSys and/or Stokoe. As such, knowledge about SASL structure is pooled into a central and freely accessible knowledge base that can be used as required. The usability and performance of the system were evaluated. The usability of the system was graded by users on a rating scale from one to five for a specific set of tasks. The system was found to have an overall usability of 3.1, slightly better than average. The performance evaluation included load and stress tests which measured the system response time for a number of users for a specific set of tasks. It was found that the system is stable and can scale up to cater for an increasing user base by improving the underlying hardware. South Africa 2013-09-09T10:59:43Z 2011/05/04 10:52 2011/05/04 2013-09-09T10:59:43Z 2011 Thesis http://hdl.handle.net/11394/2029 en University of the Western Cape University of the Western Cape
collection NDLTD
language en
sources NDLTD
topic Sign language
Optical pattern recognition
Image processing
Digital video
South Africa
spellingShingle Sign language
Optical pattern recognition
Image processing
Digital video
South Africa
Adam, Jameel
Video annotation wiki for South African sign language
description Masters of Science === The SASL project at the University of the Western Cape aims at developing a fully automated translation system between English and South African Sign Language (SASL). Three important aspects of this system require SASL documentation and knowledge. These are: recognition of SASL from a video sequence, linguistic translation between SASL and English and the rendering of SASL. Unfortunately, SASL documentation is a scarce resource and no official or complete documentation exists. This research focuses on creating an online collaborative video annotation knowledge management system for SASL where various members of the community can upload SASL videos to and annotate them in any of the sign language notation systems, SignWriting, HamNoSys and/or Stokoe. As such, knowledge about SASL structure is pooled into a central and freely accessible knowledge base that can be used as required. The usability and performance of the system were evaluated. The usability of the system was graded by users on a rating scale from one to five for a specific set of tasks. The system was found to have an overall usability of 3.1, slightly better than average. The performance evaluation included load and stress tests which measured the system response time for a number of users for a specific set of tasks. It was found that the system is stable and can scale up to cater for an increasing user base by improving the underlying hardware. === South Africa
author2 Connan, James
author_facet Connan, James
Adam, Jameel
author Adam, Jameel
author_sort Adam, Jameel
title Video annotation wiki for South African sign language
title_short Video annotation wiki for South African sign language
title_full Video annotation wiki for South African sign language
title_fullStr Video annotation wiki for South African sign language
title_full_unstemmed Video annotation wiki for South African sign language
title_sort video annotation wiki for south african sign language
publisher University of the Western Cape
publishDate 2013
url http://hdl.handle.net/11394/2029
work_keys_str_mv AT adamjameel videoannotationwikiforsouthafricansignlanguage
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