Video Data Compression Using Multilayer Perceptrons

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

Summary

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.

Keywords

Entropy Expense Extractor 

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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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