Video Data Compression Using Multilayer Perceptrons

  • Sergio Carrato
Conference paper
Part of the Perspectives in Neural Computing book series (PERSPECT.NEURAL)


In this paper, we present a neural network-based approach to the problem of video compression. In particular, an MPEG-like encoder is proposed, in which a novel scheme is proposed for a very low cost motion compensation of the frames which lie in between I or P frames. To code the error information of the inter coded frames, several multilayer perceptron are utilised, which operate on both two- and three-dimensional data.

Simulation results are also presented, which show the peculiar characteristics of the proposed approach.


Hide Layer Motion Vector Hide Node Image Compression Motion Compensation 
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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Copyright information

© Springer-Verlag London Limited 1998

Authors and Affiliations

  • Sergio Carrato
    • 1
  1. 1.D.E.E.I.University of TriesteTriesteItaly

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