Video annotation wiki for South African sign language

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dc.contributor.advisorConnan, James
dc.contributor.authorAdam, Jameel
dc.contributor.otherDept. of Computer Science
dc.contributor.otherFaculty of Science
dc.date.accessioned2013-09-09T10:59:43Z
dc.date.accessioned2024-10-30T14:00:46Z
dc.date.available2011/05/04 10:52
dc.date.available2011/05/04
dc.date.available2013-09-09T10:59:43Z
dc.date.available2024-10-30T14:00:46Z
dc.date.issued2011
dc.descriptionMasters of Scienceen_US
dc.description.abstractThe 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.en_US
dc.description.countrySouth Africa
dc.identifier.urihttps://hdl.handle.net/10566/16952
dc.language.isoenen_US
dc.publisherUniversity of the Western Capeen_US
dc.rights.holderUniversity of the Western Capeen_US
dc.subjectSign languageen_US
dc.subjectOptical pattern recognitionen_US
dc.subjectImage processingen_US
dc.subjectDigital videoen_US
dc.subjectSouth Africaen_US
dc.titleVideo annotation wiki for South African sign languageen_US
dc.typeThesisen_US

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