Video telephony for the deaf: Analysis and development of an optimised video compression product

Proceedings of the ACM International Multimedia Conference and Exhibition

Volumn , Issue , 2002, Pages 650-652

  Muir, Laura J ^a   Richardson, Iain E G ^a  

^a ROBERT GORDON UNIVERSITY   (United Kingdom)

Author keywords

Eye movement tracking; Image content prioritisation; Sign language; Video conferencing; Video telephony

Indexed keywords

IMAGE QUALITY; MULTIMEDIA SYSTEMS; PRODUCT DEVELOPMENT; VIDEO CONFERENCING;

VIDEO TELEPHONY;

IMAGE COMPRESSION;

EID: 0037700744     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. ITU-T Q9/16, Draft Application Profile, Sign language and lip-reading real time conversation usage of low bit rate video communication, September 1998.
2. VETTER, S.L., August 2000. Video Communications for Deaf People, MSc Thesis, School of Electrical and Electronic Engineering, The Robert Gordon University.
3. HELSTROM,G., Delvert, J., November 1996. Quality Measurement for Video Communication of Sign Language. [www] http://www.omnitor.se/textversion/english/qualityonvideo.html.
4. HABILI, N., July 2001. Automatic Segmentation of the Face and Hands in Sign Language Video Sequences, Department of Electrical and Electronic Engineering, Adelaide University.
5. ITU, 2000. Methodology for the subjective assessment of the quality of television pictures, Recommendation ITU-T BT.500-10.