In 1992, the Web was invented by Tim Berners-Lee and Robert Cailliau at the European Laboratory for Particle Physics (CERN) as an application over the Internet using TCP/IP protocol as stated in the World Wide Web Consortium (WC3). Accessing local IS to process data is no longer appropriate in the revolution of distributed processing. Web environments are heterogeneous and portable. First, the Web was developed for textual publishing purposes. However, in parallel the rapid advances of related technology and the incredible growth of ubiquitous data, the Web has evolved from a static medium for information sharing into an interactive multimedia platform that includes video, sound, animation, with dynamic links. In the light of these advancements, Web accessibility and associated problems (eg. People with deafness), represent a serious obstacle that prohibits people with special needs from accessing telecommunication systems. The Deaf Community’ is almost a closed community that has its own language (i.e. sign language), customs and traditions. There is little research around the world investigating direct machine translation of sign language. To avoid machine translation and associated problems, this thesis built on current Web technology to integrate Signage Information into the Web environment. As part of this integration, it made use of an ‘Intermediary Signage Object’ rather than intermediate transmission of video-based sign language. Finally, this thesis provides a Sign Language Annotation tool. It generates an XML document in order to process signage object content. The Graphical Usage Interface (GUI) contains a display window that plays customized sign language clips according to the sign viewers’ preferences. The Signage Tool extends IBM VideoAnnEx Tool to include sign language attributes and related data. In addition, it has been developed for different types of users involved with the deaf community (i.e. hearing impairment, hard of hearing, and sign language interpreters.) / Master of Science (Hons.)
| Identifer | oai:union.ndltd.org:ADTP/189178 |
| Date | January 2005 |
| Creators | Aouf, Rashad, University of Western Sydney, College of Science, Technology and Environment, School of Computing and Information Technology |
| Source Sets | Australiasian Digital Theses Program |
| Language | English |
| Detected Language | English |
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