Machine Learning for Multimedia Communications

Nikolaos Thomos1, Thomas Maugey2, Laura Toni3

  • 1School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK.

Summary

Machine learning significantly enhances multimedia transmission, improving compression and error concealment. However, these learning-based algorithms necessitate pipeline redesigns, posing research challenges.

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