Intelligent 3D video avatar for immersive telecommunication

Sang Yup Lee, Ig Jae Kim, Sang C. Ahn, Myo Taeg Lim, Hyoung Gon Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Immersive telecommunication is a new challenging field that enables a user to share a virtual space with remote participants. The main objective is to offer rich communication modalities, as similar as those used in the face-to-face meetings like gestures, gaze awareness, realistic images, and correct sound direction. Moreover, natural full body interaction is presented as a tangible interface where people meet the cyber space. As a result, the user can be immersed and has interaction with virtual objects including remote participants. This would overcome the limitations both of the conventional video-based telecommunication and also the VR-based collaborative virtual environment approaches.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages726-735
Number of pages10
Volume3809 LNAI
DOIs
Publication statusPublished - 2005 Dec 1
Event18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence - Sydney, Australia
Duration: 2005 Dec 52005 Dec 9

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3809 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence
CountryAustralia
CitySydney
Period05/12/505/12/9

    Fingerprint

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Lee, S. Y., Kim, I. J., Ahn, S. C., Lim, M. T., & Kim, H. G. (2005). Intelligent 3D video avatar for immersive telecommunication. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3809 LNAI, pp. 726-735). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3809 LNAI). https://doi.org/10.1007/11589990_75