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Image/Video Compression with Artificial Neural Networks

  • Conference paper
Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living (IWANN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5518))

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Abstract

Both Information Compression and Parallel Processing are key issues nowadays. And both are our framework for our proposal. Our purpose was to accomplish an exhaustive study about patterns recognition using backpropagation neural networks with multilayer perceptron topology for its subsequent application to image and video compression. The mathematical study of learning algorithms and construction of neural nets encompassed the greater part of our time for this study. The next step was to design the most appropriate neural net for our objective through the paradigm of the oriented-object programming.

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Author information

Authors and Affiliations

  1. Departamento de Lenguajes y sistemas informáticos, UPSAM, Madrid, Spain

    Daniel Zapico Palacio, Rubén González Crespo, Gloria García Fernández & Ignacio Rodríguez Novelle

Authors
  1. Daniel Zapico Palacio
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  2. Rubén González Crespo
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  3. Gloria García Fernández
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  4. Ignacio Rodríguez Novelle
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Editor information

Editors and Affiliations

  1. Graduate School of Engineering, Osaka Prefecture University, Osaka, Japan

    Sigeru Omatu

  2. Department of Informatics / CCTC, University of Minho, Braga, Portugal

    Miguel P. Rocha

  3. MAmI Research Lab, University of Castilla-La Mancha,, Ciudad Real, Spain

    José Bravo

  4. Department of Informatics, University of Vigo, Ourense, Spain

    Florentino Fernández

  5. Grupo de Investigación GICAP, Área de Lenguajes Higher Polytechnic School, Universidad de Burgos, Burgos, Spain

    Emilio Corchado

  6. Higher Polytechnic School, University of Burgos, Burgos, Spain

    Andrés Bustillo

  7. Department of Informatics, University of Salamanca, Salamanca, Spain

    Juan M. Corchado

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© 2009 Springer-Verlag Berlin Heidelberg

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Palacio, D.Z., Crespo, R.G., Fernández, G.G., Novelle, I.R. (2009). Image/Video Compression with Artificial Neural Networks. In: Omatu, S., et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02481-8_47

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  • DOI: https://doi.org/10.1007/978-3-642-02481-8_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02480-1

  • Online ISBN: 978-3-642-02481-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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