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Emerging Applications

  • Konstantinos N. Plataniotis
  • Anastasios N. Venetsanopoulos
Part of the Digital Signal Processing book series (DIGSIGNAL)

Abstract

Multimedia data processing refers to a combined processing of multiple data streams of various types. Recent advances in hardware, software and digital signal processing allow for the integration of different data streams which may include voice, digital video, graphics and text within a single platform. A simple example may be the simultaneous use of audio, video and closed-caption data for content-based searching and browsing of multimedia databases or the merging of vector graphics, text, and digital video. This rapid development is the driving force behind the convergence of the computing, telecommunications, broadcast, and entertainment technologies. The field is developing rapidly and emerging multimedia applications, such as intelligent visual search engines, multimedia databases, Internet/mobile audio-visual communication, and desktop video-conferencing will all have a profound impact on modern professional life, health care, education, and entertainment.

Keywords

Membership Function Color Space Facial Image Facial Region Fuzzy Membership Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Musmann, H.G., Hotter, M., Ostermann, J. (1989): Object-oriented analysissynthesis coding of moving objects. Signal Processing: Image Communications, 1 (2), 117–138.CrossRefGoogle Scholar
  2. 2.
    Hotter, M. (1990): Object-oriented analysis-synthesis coding based on moving two-dimensional objects. Signal Processing: Image Communications, 2 (4), 409–428.CrossRefGoogle Scholar
  3. 3.
    Herodotou, N., Plataniotis, K.N., Venetsanopoulos, A.N., (1998): A color segmentation scheme for object-based video coding. in Proceedings, IEEE Symposium on Advances in Signal Filtering and Signal Processing, I, 25–30.Google Scholar
  4. 4.
    Chiariglione, L. (1997): MPEG and multimedia communications. IEEE Transactions on Circuits and Systems for Video Technology, 7 (1), 5–18.CrossRefGoogle Scholar
  5. 5.
    Eleftheriadis, A., Jacquin, A. (1995): Automatic face location detection for model-assisted rate control in H.261-compatible coding of video. Signal Processing: Image Communication, 7 (4), 435–455.CrossRefGoogle Scholar
  6. 6.
    Reinders, M.J.T., van Beek, P.J.L., Sankur, B., van der Lubbe, J.C.A. (1995): Facial feature localization and adaptation of a generic face model for modelbased coding. Signal Processing: Image Communication, 7 (1), 57–74.CrossRefGoogle Scholar
  7. 7.
    Jain, A.K., Vailaya, A. (1996): Image retrieval using color and shape. Pattern Recognition, 29 (8), 1233–1244.CrossRefGoogle Scholar
  8. 8.
    Uchiyama, T., Arbib, M.A. (1994): Color image segmentation using competitive learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16 (12), 1197–1206.CrossRefGoogle Scholar
  9. 9.
    Lee, C.H., Kim, J.S., Park, K.H. (1996): Automatic human face location in a complex background using motion and color information. Pattern Recognition, 29 (11), 1877–1889.CrossRefGoogle Scholar
  10. 10.
    Foley, J., van Dam, A., Feiner, S., Hughes, J. (1990): Computer Graphics, Principles and Applications. Addison-Wesley, N.Y.Google Scholar
  11. 11.
    Chang, T.C., Huang, T.S., Novak, C. (1994): Facial feature extraction from color images. in Proceedings, 12th International Conference on Pattern Recognition, 3, 39–43.Google Scholar
  12. 12.
    Herodotou, N., Venetsanopoulos, A.N. (1997): Image segmentation for facial image coding of videophone sequences. in Proceedings, 13th International Conference on Digital Signal Processing, 1, 233–236.CrossRefGoogle Scholar
  13. 13.
    N. Herodotou, N., Plataniotis, K.N., Venetsanopoulos, A.N. (1999): Automatic location and tracking of the facial region in color video sequences. Signal Processing: Image Communications, 14 (5), 359–388.CrossRefGoogle Scholar
  14. 14.
    Carlotto, M.J. (1987): Histogram analysis using a scale-space approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 9 (1), 121–129.CrossRefGoogle Scholar
  15. 15.
    Gong, Y., Sakauchi, M. (1995): Detection of regions matching specified chromatic features. Computer Vision and Image Understanding, 61 (2), 263–269.CrossRefGoogle Scholar
  16. 16.
    Serra, J. (1982): Image Analysis and Mathematical Morphology. Academic Press, New York, N.Y.MATHGoogle Scholar
  17. 17.
    Herodotou, N., Plataniotis, K.N., Venetsanopoulos, A.N., (1999): A fuzzy based face tracking scheme. Computational Intelligence and Applications, Mastorakis N. (ed.), 272–276, Word Scientific Press.Google Scholar
  18. 18.
    Herodotou, N., Plataniotis, K.N., Venetsanopoulos, A.N., (1999): Automatic location and tracking of the facial region in color video sequeneces. Signal Processing: Image Communications, 14 (5), 359–388.CrossRefGoogle Scholar
  19. 19.
    Zimmermann, H.J., P. Zysno, P. (1980): Latent connectives in human decision making. Fuzzy Sets and Systems, 4, 37–51.CrossRefMATHGoogle Scholar
  20. 20.
    Plataniotis, K.N., Androutsos, D., Venetsanopoulos, A.N. (1997): Multichannel filters for image processing, Signal Processing: Image Communications, 9 (2), 143–158.CrossRefGoogle Scholar
  21. 21.
    Prabhakaran, B. (1997): Multimedia Database Management Systems, Kluwer Academic Publishers, Massachusetts.CrossRefGoogle Scholar
  22. 22.
    Herodotou, N., Plataniotis, K.N., Venetsanopoulos, A.N., (1998): A color segmentation and classification scheme for facial image and video retrieval. in Proceedings, IX European Signal Processing Conference, 3, 1721–1724.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Konstantinos N. Plataniotis
    • 1
  • Anastasios N. Venetsanopoulos
    • 1
  1. 1.Department of Electrical & Computer EngineeringUniversity of TorontoTorontoCanada

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