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2D/3D Model-Based Facial Video Coding/Decoding at Ultra-Low Bit-Rate

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Book cover Advances in Multimedia Modeling

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7733))

Abstract

For facial video coding/decoding in mobile communication, a 2D/3D model-based system was proposed: (1)Online appearance model and cylinder head model were combined to track 3D facial motion in particle filter; (2)3D facial animation was produced combining parameterized model and muscular model; (3)3D hair was synthesized by hair detection and 3D hair model; (4)3D coding/decoding of foreground and 2D coding/decoding of background were stitched. At ultra-low bit-rate, the object experiment confirmed the advantage between coding efficiency and decoding quality of it, and the between subjects experiment indicated the suitability of subjective face identification by it.

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References

  1. Liu, Y.C., et al.: A virtual teleconferencing system based on face detection and 3d animation in a low bandwidth environment. JIST 20(4), 323–332 (2010)

    MathSciNet  Google Scholar 

  2. Wang, M., Hong, R., et al.: Movie2comics: Towards a lively video content presentation. IEEE Trans. on Multimedia 14(3), 858–870 (2012)

    Article  Google Scholar 

  3. Zhang, W., Wang, Q., Tang, X.: Real Time Feature Based 3-D Deformable Face Tracking. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol. 5303, pp. 720–732. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  4. Wang, Q., et al.: Real-time bayesian 3-d pose tracking. TCSVT 16(12), 1533–1541 (2006)

    Google Scholar 

  5. Cascia, M.L., et al.: Fast, reliable head tracking under varying illumination: an approach based on registration of texture mapped 3d models. TPAMI 22(4), 322–336 (2000)

    Article  Google Scholar 

  6. Ahlberg, J.: Model-based coding: Extraction, coding, and evaluation of face model parameters. PhD thesis, Linköping University, Sweden (2002)

    Google Scholar 

  7. Matthews, I., et al.: 2d vs. 3d deformable face models: Representational power, construction, and real-time fitting. IJCV 75(1), 93–113 (2007)

    Article  Google Scholar 

  8. Jepson, A.D., et al.: Robust online appearance models for visual tracking. TPAMI 25(10), 1296–1311 (2003)

    Article  Google Scholar 

  9. Lui, Y.M., et al.: Adaptive appearance model and condensation algorithm for robust face tracking. TSMC 40(3), 437–448 (2010)

    Google Scholar 

  10. Dornaika, F., Davoine, F.: Simultaneous facial action tracking and expression recognition in the presence of head motion. IJCV 76(3), 257–281 (2008)

    Article  Google Scholar 

  11. Zhou, S., et al.: Visual tracking and recognition using appearance-adaptive models in particle filters. TIP 13(11), 1491–1506 (2004)

    Google Scholar 

  12. Wen, Z., Huang, T.S.: Capturing subtle facial motions in 3d face tracking. In: ICCV (2003)

    Google Scholar 

  13. Xiao, J., et al.: Robust full-motion recovery of head by dynamic templates and registration techniques. IJIST 13, 85–94 (2003)

    Google Scholar 

  14. Fidaleo, D., Medioni, G.G., Fua, P., Lepetit, V.: An Investigation of Model Bias in 3D Face Tracking. In: Zhao, W., Gong, S., Tang, X. (eds.) AMFG 2005. LNCS, vol. 3723, pp. 125–139. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  15. Parke, F.I., Waters, K.: Computer facial animation. Wellesley (1996)

    Google Scholar 

  16. Blanz, V., et al.: Reanimating faces in images and video. Computer Graph (2003)

    Article  Google Scholar 

  17. Wang, W.M., et al.: A physically-based modeling and simulation framework for facial animation. In: ICIG (2009)

    Google Scholar 

  18. Marcos, S., Bermejo, J.G.G., Zalama, E.: A realistic facial animation suitable for human-robot interfacing. In: ICIRS (2008)

    Google Scholar 

  19. Ward, K., et al.: A survey on hair modeling: styling, simulation, and rendering. TVCG 13(2), 213–234 (2007)

    Google Scholar 

  20. Eisert, P., et al.: Model-aided coding: a new approach to incorporate facial animation into motion-compensated video coding. TCSVT 10(3), 344–358 (2000)

    Google Scholar 

  21. Balc, K., et al.: Xface open source project and smil-agent scripting language for creating and animating embodied conversational agents. In: ICM (2007)

    Google Scholar 

  22. Kampmann, M.: Automatic 3-d face mode adaption for model-based coding of videophone sequences. TCSVT 12(3), 172–182 (2002)

    Google Scholar 

  23. Grassberger, P.: The pruned-enriched rosenbluth method: simulations of theta polymers of chain length up to 1, 000, 000. Physical Review E 56, 3682–3693 (1997)

    Article  Google Scholar 

  24. Yacoob, Y., Davis, L.S.: Detection and analysis of hair. TPAMI 28(7), 1164–1169 (2006)

    Article  Google Scholar 

  25. Levin, A., et al.: Spectral matting. In: CVPR (2007)

    Google Scholar 

  26. Kanade, T., et al.: Comprehensive database for facial expression analysis. In: International Conference on AFGR (2000)

    Google Scholar 

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Yu, J., Wang, Z., Cao, Y. (2013). 2D/3D Model-Based Facial Video Coding/Decoding at Ultra-Low Bit-Rate. In: Li, S., et al. Advances in Multimedia Modeling. Lecture Notes in Computer Science, vol 7733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35728-2_2

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  • DOI: https://doi.org/10.1007/978-3-642-35728-2_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35727-5

  • Online ISBN: 978-3-642-35728-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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