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Supporting video conference communication using a vision-based human facial synthesis approach
Linnaeus University, Faculty of Technology, Department of Media Technology. (Media Technology)
Linnaeus University, Faculty of Technology, Department of Media Technology. (Media Technology)ORCID iD: 0000-0003-2203-5805
Linnaeus University, Faculty of Technology, Department of Media Technology. (Media Technology)ORCID iD: 0000-0002-6937-345X
2015 (English)In: Proceedings of IEEEĀ SAI Intelligent Systems Conference (IntelliSys), 2015, London: IEEE conference proceedings, 2015, 807-812 p.Conference paper, Published paper (Refereed)
Abstract [en]

Facial expressions plays an important role in human communication. In many cases where anonymity is a high priority, the identity of a person needs to be hidden or replaced by another one. Recent advancements in facial expression analysis technology have been used in order to duplicate facial human expressions with an avatar. However, a 3D avatar does not convey the same feeling as a real human face does. This paper documents an exploratory study investigating how vision-based facial analysis can be used to match someones facial expressions and head movements with pre-recorded video segments of another person. As a result of these efforts the identity of that person can be replaced with another person in real-time for videoconference supported communication. The proposed technical solutions have been implemented to support real-t

Place, publisher, year, edition, pages
London: IEEE conference proceedings, 2015. 807-812 p.
Keyword [en]
avatars;emotion recognition;face recognition;teleconferencing;video communication;video signal processing;Video Conference Communication;avatar;facial expression analysis technology;videoconference supported communication;vision-based human facial synthesis approach;Avatars;Databases;Face;Real-time systems;Servers;Streaming media;Facial analysis;head motion analysis;video conference;video synthesis
National Category
Interaction Technologies Media Engineering
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-50757DOI: 10.1109/IntelliSys.2015.7361234ISI: 000378642300115ISBN: 978-1-4673-7606-8 (print)OAI: oai:DiVA.org:lnu-50757DiVA: diva2:912152
Conference
IEEE SAI Intelligent Systems Conference (IntelliSys), 2015
Available from: 2016-03-15 Created: 2016-03-15 Last updated: 2017-04-19Bibliographically approved

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Tewele, Mhretab KidaneYousefi, ShahrouzMilrad, Marcelo
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf