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Illustration de l'actualité : PhD defense Shuo Zheng : Accounting for Channel Constraints in Joint Source-Channel Video Coding Schemes

PhD defense Shuo Zheng : Accounting for Channel Constraints in Joint Source-Channel Video Coding Schemes

mardi
5
février
2019

PhD Comics : I'm defending my thesis, Mom !

10:00, amphi Opale

Jury

  • François-Xavier Coudoux, Université Polytechnique Hauts-de-France, Reviewer
  • Aline Roumy, INRIA Rennes, Reviewer
  • Jean-Marie Gorce, INSA Lyon, Examiner
  • Marc Leny, Ektacom, Examiner
  • Michèle Wigger, TélécomParitech, Examiner
  • Marco Cagnazzo, TélécomParisTech, Thesis supervisor
  • Michel Kieffer, Université de Paris-sud, Thesis co-supervisor

Abstract

SoftCast based Linear Video Coding (LVC) schemes have been emerged in the last decade as a quasi analog joint-source-channel alternative to classical video coding schemes. Theoretical analyses have shown that analog coding is better than digital coding in a multicast scenario when the channel signal-to-noise ratios (C-SNR) dier among receivers. LVC schemes provide in such context a decoded video quality at dierent receivers proportional to their C-SNR.
This thesis considers rst the channel precoding and decoding matrix design problem for
LVC schemes under a per-subchannel power constraint. Such constraint is found, e.g., on Power Line Telecommunication (PLT) channels and is similar to per-antenna power constraints in multi-antenna transmission system. An optimal design approach is proposed, involving a multi-level water lling algorithm and the solution of a structured Hermitian Inverse Eigenvalue problem. Three lower-complexity alternative suboptimal algorithms are also proposed. Extensive experiments show that the suboptimal algorithms perform closely to the optimal one and can reduce signicantly the complexity. The precoding matrix design in multicast situations also has been considered.