Supervised Biometric System Using Multimodal Compression Scheme

  • Wafa Chaabane
  • Régis Fournier
  • Amine Naït-ali
  • Julio Jacobo
  • Marta Mejail
  • Marcelo Mottalli
  • Heitor Ramos
  • Alejandro C. Frery
  • Leonardo Viana
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7441)

Abstract

This work is a part of a project supported by STIC Am-Sud where the main objective is to design an intelligent vision system to protect children from some critical information accessible from the Internet, from some videos or from some video games that are related to violence, wars, pornography, etc. Considered definitively not appropriate for their age, such multimedia contains can significantly offend young people. More specifically, in this paper, we are interested in discussing a general concept of a supervised biometric system that is controlled by specific tags embedded in video frames through a multimodal compression. Using a spiral insertion scheme, specific frequencies (TAGs) are compressed jointly with video frames in the region of insertion and then extracted for supervision purpose. The multimodal compression is considered here because it allows high-level robustness regarding the bitrates and down-sampling.

Keywords

Face recognition biometrics Intelligent system Lossy compression Multimodal Compression 

References

  1. 1.
  2. 2.
    Zhao, W., Chellapa, R., Phillips, P.: Face recognition: a literature survey. ACM Computing Surveys 35(4), 399–458 (2003)CrossRefGoogle Scholar
  3. 3.
    Turk, M., Pentland, A.: Eigenfaces For Recognition. Journal of Cognitive Neuroscience 3, 71–86 (1991)CrossRefGoogle Scholar
  4. 4.
    Naït-ali, A., Zeybek, E., Drouot, X.: Introduction to Multimodal Compression of Biomedical data. book: Advanced Biosignal Processing, pp. 353–375. Springer (2009)Google Scholar
  5. 5.
    Fournier, R., Nait-ali, A., Zeybek, E.H.: A novel supervised model for multimodal compression. Journal of Signal and Information Processing (in press, 2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Wafa Chaabane
    • 1
  • Régis Fournier
    • 1
  • Amine Naït-ali
    • 1
  • Julio Jacobo
    • Marta Mejail
      • Marcelo Mottalli
        • Heitor Ramos
          • 2
        • Alejandro C. Frery
          • 2
        • Leonardo Viana
          • 2
        1. 1.LiSSi. Biometrics Research GroupUniversité Paris-Est Créteil (UPEC)France
        2. 2.Universidade Federal de AlagoasBrazil

        Personalised recommendations