A genetic algorithm for side information enhancement in distributed video coding

  • Authors:
  • Charles Yaacoub;Joumana Farah;Béatrice Pesquet-Popescu

  • Affiliations:
  • Faculty of Sciences and Computer Engineering, Holy-Spirit University of Kaslik, Jounieh, Lebanon and Signal and Image Processing Dept., Télécom ParisTech, Paris, France;Faculty of Sciences and Computer Engineering, Holy-Spirit University of Kaslik, Jounieh, Lebanon;Signal and Image Processing Dept., Télécom ParisTech, Paris, France

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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Abstract

This work aims at improving the quality of the side information in distributed video coding. Based on genetic algorithms, our proposed technique combines several frames, interpolated using previously developed methods, in a fusion-based approach. Simulation results show a significant improvement in the side information quality compared to other interpolation techniques available in the literature, which greatly improves the rate-distortion performance of a distributed video codec, where the gain in PSNR can reach 6dB.