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MobileASL:: intelligibility of sign language video as constrained by mobile phone technology
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Source ACM SIGACCESS Conference on Computers and Accessibility archive
Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility table of contents
Portland, Oregon, USA
SESSION: Design challenges table of contents
Pages: 71 - 78  
Year of Publication: 2006
ISBN:1-59593-290-9
Authors
Anna Cavender  University of Washington, Seattle, Washington
Richard E. Ladner  University of Washington, Seattle, Washington
Eve A. Riskin  University of Washington, Seattle, Washington
Sponsors
ACM: Association for Computing Machinery
SIGACCESS: ACM Special Interest Group on Accessible Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

For Deaf people, access to the mobile telephone network in the United States is currently limited to text messaging, forcing communication in English as opposed to American Sign Language (ASL), the preferred language. Because ASL is a visual language, mobile video phones have the potential to give Deaf people access to real-time mobile communication in their preferred language. However, even today's best video compression techniques can not yield intelligible ASL at limited cell phone network bandwidths. Motivated by this constraint, we conducted one focus group and one user study with members of the Deaf Community to determine the intelligibility effects of video compression techniques that exploit the visual nature of sign language. Inspired by eyetracking results that show high resolution foveal vision is maintained around the face, we studied region-of-interest encodings (where the face is encoded at higher quality) as well as reduced frame rates (where fewer, better quality, frames are displayed every second). At all bit rates studied here, participants preferred moderate quality increases in the face region, sacrificing quality in other regions. They also preferred slightly lower frame rates because they yield better quality frames for a fixed bit rate. These results show promise for realtime access to the current cell phone network through signlanguage-specific encoding techniques.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Anna Cavender: colleagues
Richard E. Ladner: colleagues
Eve A. Riskin: colleagues