Compression and Key Feature Extraction for Video Transmission

  • Esteban Tobias Bayro Kaiser
  • Eduardo Correa-Arameda
  • Eduardo Bayro-Corrochano
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5856)

Abstract

This paper presents a gray scale image compression method using the Wavelet Transform and key feature detection for mobile phone video transmission. The major contribution of this work is to show the application of the wavelet transform in image compression and to add a new method to reduce redundant information in video transmission which is key feature detection. An algorithm is designed in Matlab to accomplish this task using a face to face video.

Keywords

Image processing Compression Wavelet transform Key feature extraction Face to face video 

References

  1. 1.
    Ravyse, I., Sahli, H.: Facial analysis and synthesis. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds.) ACIVS 2006. LNCS, vol. 4179, pp. 810–820. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  2. 2.
    Nixon, M., Aguado, A.: Feature Extraction and Image Processing, 1st edn. Elsevier Ltd., Amsterdam (2002)Google Scholar
  3. 3.
    Gonzalez, R., Woods, R.: Digital Image Processing using Matlab, 1st edn. Pearson Prentice hall, London (2004)Google Scholar
  4. 4.
  5. 5.
    Usevitch, B.E.: A tutorial on modern lossy wavelet image compression: Foundations of jpeg 2000. IEEE Signal Processing Magazine 18, 22–35 (2001)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Esteban Tobias Bayro Kaiser
    • 1
  • Eduardo Correa-Arameda
    • 1
  • Eduardo Bayro-Corrochano
    • 2
  1. 1.Escuela universitaria de ingeniería eléctrica y electrónica AricaUniversity of TarapacáChile
  2. 2.Departamento de Ingeniería Eléctrica y Ciencias de la ComputaciónCINVESTAV, Unidad GuadalajaraMéxico

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