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Preprocessing Phase in the PIETSI Project (Prediction of Time Evolution Images Using Intelligent Systems)

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Computer Aided Systems Theory - EUROCAST 2003 (EUROCAST 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2809))

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Abstract

We outline the PIETSI project, the core of which is an image prediction strategy, and discuss common preliminary image processing tasks that are relevant when facing problems such as: useless background, information overlapping (solvable if dissimilar coding is being used) and memory usage, which can be described as “marginal information efficiency”.

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References

  1. Egmont-Petersen, M., et al.: Image processing with neural networks – a review. Pattern recognition (2001)

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  3. Bors, G., Pitas, I.: Prediction and Tracking of Moving Objects in Image Sequences. IEEE Trans. on Image Processing 9(8) (2000)

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Author information

Authors and Affiliations

  1. Department of Applied Mathematics and Computer Sciences, University of Cantabria, Avda. de los Castros s/n, 39005, Santander, SPAIN

    J. L. Crespo, P. Bernardos, M. E. Zorrilla & E. Mora

Authors
  1. J. L. Crespo
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  2. P. Bernardos
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  3. M. E. Zorrilla
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  4. E. Mora
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Editor information

Editors and Affiliations

  1. Institute of Cybernetics, Universidad de Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz

  2. Systems Theory, Johannes Kepler University Linz, Altenbergerstrasse 69, A-4040, Linz, Austria

    Franz Pichler

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© 2003 Springer-Verlag Berlin Heidelberg

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Crespo, J.L., Bernardos, P., Zorrilla, M.E., Mora, E. (2003). Preprocessing Phase in the PIETSI Project (Prediction of Time Evolution Images Using Intelligent Systems). In: Moreno-Díaz, R., Pichler, F. (eds) Computer Aided Systems Theory - EUROCAST 2003. EUROCAST 2003. Lecture Notes in Computer Science, vol 2809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45210-2_59

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  • DOI: https://doi.org/10.1007/978-3-540-45210-2_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20221-9

  • Online ISBN: 978-3-540-45210-2

  • eBook Packages: Springer Book Archive

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