"September, 2002" / Bibliography: p. 175-190. / 190 p. : ill. (some col.), plates (some col.) ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / In this thesis, a methodology is devised for the segmentation of the face and hands in sign language video sequences. As well as an improved coding performance, the content-based representation of video data would allow other functionalities, such as improved error-robustness and scalability. / Thesis (Ph.D.)--University of Adelaide, School of Electrical and Electronic Engineering, 2002
| Identifer | oai:union.ndltd.org:ADTP/263549 |
| Date | January 2002 |
| Creators | Habili, Nariman |
| Source Sets | Australiasian Digital Theses Program |
| Language | en_US |
| Detected Language | English |
Page generated in 0.0017 seconds