Skip to main content
SpringerLink
Log in

Supporting Ubiquitous Collaboration with Real-Time Facial Animation

  • Conference paper
Computer Supported Cooperative Work in Design IV (CSCWD 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5236))

  • 1429 Accesses

Abstract

Exchanging facial video is an efficient way for collaborative awareness. However, collaboration systems are migrating from the traditional circuit-switched environments and local-area-networks (LANs) to Internet and wireless networks. Video-based communication faces new challenges such as low bandwidth, limited computational power, etc. In this paper, we present the two dimensional (2D) facial animation, which is a new visual communication way to support expression awareness for mobile embedded sites. The related prototype system was developed and experiments were carried out. Results show that 2D facial animation provides novel visual communication to collaborative participants and improves emotion awareness in ubiquitous collaborative environment.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Yamasaki, T., Matsubara, Y., Matsushita, F., Hizume, H., Akaguma, S.: Distance Learning by Video Conference System. In: Proceedings of the IFIP TC3 Seventh IFIP World Conference on Networking the Learner, pp. 59–66. Kluwer, B.V. Press (2001)

    Google Scholar 

  2. Kauff, P., Schreer, O.: An Immersive 3D Video-Conferencing System Using Shared Virtual Team User Environments. In: Proceedings of the 4th International Conference on Collaborative Virtual Environments, pp. 105–112. ACM Press, Bonn (2000)

    Google Scholar 

  3. Wolfer, T.A., Carney, M., Ward, J.: Acquiring and Implementing Videoconferencing Technology to Enhance the Field Work Experience. Journal of Technology in Human Services, 43–63 (2002)

    Google Scholar 

  4. Song, M., Bu, J., Chen, C., Li, N.: Audio-Visual based Emotion Recognition-A New Approach. In: Proceedings of IEEE conference on Computer Vision and Pattern Recognition, vol. 2, pp. II-1020–II1025 (2004)

    Google Scholar 

  5. Bu, J., Song, M., Chen, C.: 3D Facial Animation with Emotions – An AV based Approach. In: Proceedings of Computer Animation and Social Agents 2004, Switzerland, pp. 9–17 (2004)

    Google Scholar 

  6. Lien, J., Kanade, T., Li, C., Cohn, J.F.: Detection, Tracking, and Classification of Action Units in Facial Expresssion. IEEE Journal of Robotics and Autonomous Systems, Special Issue: Face Expression in Human-Robot Interaction, Systems 31, 131–146 (2000)

    Article  Google Scholar 

  7. Pardas, M., Bonafonte, A.: Facial Animation Parameters Extraction and Expression Detection Using HMM. Signal processing: Image Communication 17, 675–688 (2002)

    Google Scholar 

  8. Tao, H., Huang, T.S.: Visual Estimation and Compression of Facial Motion Parameters-Elements of a 3D Model-Based Video Coding System. International Journal of Computer Vision 50(2), 111–125 (2002)

    Article  MATH  Google Scholar 

  9. Cohen, I., Cozman, F.G., Sebe, N., Cirelo, M.C., Huang, T.S.: Semi-supervised Learning of Classifiers: Theory, Algorithms for Bayesian Network Classifiers and Application to Human-Computer Interaction. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, p. 2994 (2004)

    Google Scholar 

  10. Cohen, I., Sebe, N., Chen, L., Garg, A., Huang, T.S.: Facial Expression Recognition from Video Sequences Temporal and Static Modeling. Computer Vision and Image Understanding. Special Issue on Face Recognition & Facial Expression Recognition from Video Sequences Temporal and Static Modeling 91(1-2), 160–187 (2003)

    Google Scholar 

  11. Bhatti, M.W., Wang, Y., Guan, L.: A Neural Network Approach for Human Emotion Recognition in Speech. In: Proceedings of IEEE International Conference on Multimedia and Expo, vol. 1, pp. 423–426 (2000)

    Google Scholar 

  12. Lien, J.J.J., Kanade, T., Cohn, J.F., Subtly, C.C.L.: Different Facial Expression Recognition and Expression Intensity Estimation. In: Proceedings of IEEE CVPR 1998, pp. 853–859 (1998)

    Google Scholar 

  13. Cohen, I., Sebe, N., Cozman, F.G., Cirelo, M.C., Huang, T.S.: Learning Bayesian Network Classifiers for Facial Expression Recognition with both Labeled and Unlabeled data. In: Proceedings of IEEE CVPR 2003, pp. 595–601 (2003)

    Google Scholar 

  14. Chuang, E.S., DeDeshpande, H., Bregler, C.: Expression Space Learning. In: Proceedings of the Pacific Conference on Computer Graphics and Applications 2002, pp. 68–77 (2002)

    Google Scholar 

  15. Mase, K.: Recongnition of Facial Expression from Optical Flow. IEICE Transactions E74, 3474–3483 (1991)

    Google Scholar 

  16. Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active Appearance Models. In: Proceedings of European Conference on Computer Vision 1998, vol. 2, pp. 484–498. Springer, Heidelberg (1998)

    Google Scholar 

  17. Covell, M., Brgler, C.: Eigen-Points. In: Proceedings of IEEE ICIP 1996, pp. 471–474 (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Computer and Information Engineering, Zhejiang Gongshang Univerisity, Hangzhou, P.R. China

    Bo Jiang

Authors
  1. Bo Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Integrated Manufacturing Technologies Institute, National Research Council Canada, N6G 4X8, London, Ontario, Canada

    Weiming Shen

  2. School of Information Systems, Faculty of Business University of Southern Queensland, Toowoomba, Queensland, Australia

    Jianming Yong

  3. Faculty of Information & Communication Technologies, Swinburne University of Technology Hawthorn, PO Box 218, 3122, Melbourne, Australia

    Yun Yang

  4. Université de Technologie de Compiègne, Centre de Recherches de Royallieu, 60205, Compiègne, France

    Jean-Paul A. Barthès

  5. Department of Computer Science and Engineering, Southeast University, Nanjing, P.R. China

    Junzhou Luo

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jiang, B. (2008). Supporting Ubiquitous Collaboration with Real-Time Facial Animation. In: Shen, W., Yong, J., Yang, Y., Barthès, JP.A., Luo, J. (eds) Computer Supported Cooperative Work in Design IV. CSCWD 2007. Lecture Notes in Computer Science, vol 5236. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92719-8_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-92719-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92718-1

  • Online ISBN: 978-3-540-92719-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation