Skip to main content

MPEG-4 Face and Body Animation Coding Applied to HCI

  • Chapter
Real-Time Vision for Human-Computer Interaction

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. ISO/IEC 14496-1 IS (MPEG-4). Information Technology — Coding of audio-visual objects, Part 1: Systems. www.iso.org

    Google Scholar 

  2. ISO/IEC 14496-2 IS (MPEG-4). Information Technology — Coding of audio-visual objects, Part 2: Visual. www.iso.org

    Google Scholar 

  3. H P Graf et al. Multimodal system for locating heads and faces. Proc Int Conf on Automatic Face and Gesture Recognition, 1996

    Google Scholar 

  4. G Hovden and N Ling. Optimizing facial animation parameters for MPEG-4. IEEE Trans on Consumer Electronics, pp 1354–1359, 2003.

    Google Scholar 

  5. P Ekman et al. Emotions Inside Out. Annals of the New York Academy of Sciences, 2003.

    Google Scholar 

  6. P Ekman et al. (Editors). What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS). Oxford University Press, 1997.

    Google Scholar 

  7. M S Bartlett. Face Image Analysis by Unsupervised Learning. Kluwer, 2001.

    Google Scholar 

  8. E D Petajan. Automatic lipreading to enhance speech recognition. PhD Thesis, University of Illinois at Urbana-Champaign, 1984.

    Google Scholar 

  9. E D Petajan. Automatic lipreading to enhance speech recognition. Proc Globecom Telecommunications Conference, 1984.

    Google Scholar 

  10. C Bregler et al. A hybrid approach to bimodal speech recognition. Proc Annual Asilomar Conf on Signals, Systems, and Computers, 1994.

    Google Scholar 

  11. P L Silsbee and A C Bovik. Medium vocabulary audiovisual speech recognition. In: A J Rubio Ayuso and J M Lopez Soler (Editors). New Advances and Trends in Speech Recognition and Coding. Springer-Verlag, 1995.

    Google Scholar 

  12. A Adjoudani and C Benoit. Audio-visual speech recognition compared across two architectures. Proc Eurospeech, 1995

    Google Scholar 

  13. J Luettin et al. Active shape models for visual speech feature extraction. In: D G Stork and M Hennecke (Editors). Speechreading by Humans and Machines: Models, Systems, and Applications. Springer-Verlag, 1996.

    Google Scholar 

  14. A J Goldschen et al. Continuous optical automatic speech recognition, Proc Asilomar Conf on Signals, Systems, and Computers, 1994.

    Google Scholar 

  15. J F Baldwin et al. Automatic computer lip-reading using fuzzy set theory. Proc AVSP, 1999.

    Google Scholar 

  16. J R Movellan and P Mineiro. A diffusion network approach to visual speech recognition. Proc AVSP, 1999.

    Google Scholar 

  17. P Niyogi et al. Feature based representation for audio-visual speech recognition. Proc AVSP, 1999.

    Google Scholar 

  18. B Talle and A Wichert. Audio-visual sensor fusion with neural architectures. Proc AVSP, 1999.

    Google Scholar 

  19. A Senior et al., On the use of visual information for improving audio-based speaker recognition. Proc AVSP, 1999.

    Google Scholar 

  20. G Fries et al. A tool for designing MPEG-4 compliant expressions and animations on VRML cartoon faces. Proc AVSP, 1999.

    Google Scholar 

  21. M Escher et al. User interactive MPEG-4 compatible facial animation system. Proc IWSNHC3DI, 1999.

    Google Scholar 

  22. N Grammalidis et al. Three-dimensional facial adaptation for MPEG-4 talking heads. J Applied Signal Proc, pp 1005–1020, 2002.

    Google Scholar 

  23. A Raouzaiou et al. Parameterized facial expression synthesis based on MPEG-4. J Applied Signal Proc, pp 1021–1038, 2002.

    Google Scholar 

  24. C Tolga et al. Efficient modeling of virtual humans in MPEG-4. Proc ICME, 2000.

    Google Scholar 

  25. I Pandzic and R Forchheimer. MPEG-4 Facial Animation: The Standard, Implementation and Applications. John Wiley and Sons, 2002.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer Science+Business Media, Inc.

About this chapter

Cite this chapter

Petajan, E. (2005). MPEG-4 Face and Body Animation Coding Applied to HCI. In: Kisačanin, B., Pavlović, V., Huang, T.S. (eds) Real-Time Vision for Human-Computer Interaction. Springer, Boston, MA. https://doi.org/10.1007/0-387-27890-7_15

Download citation

  • DOI: https://doi.org/10.1007/0-387-27890-7_15

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-27697-7

  • Online ISBN: 978-0-387-27890-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics