Low-complexity multiple description coding of video based on 3D block transforms

  • Authors:

  • Andrey Norkin;Atanas Gotchev;Karen Egiazarian;Jaakko Astola

  • Affiliations:

  • Institute of Signal Processing, Tampere University of Technology, Tampere, Finland;Institute of Signal Processing, Tampere University of Technology, Tampere, Finland;Institute of Signal Processing, Tampere University of Technology, Tampere, Finland;Institute of Signal Processing, Tampere University of Technology, Tampere, Finland

  • Venue:
  • EURASIP Journal on Embedded Systems
  • Year:
  • 2007

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Abstract

The paper presents a multiple description (MD) video coder based on three-dimensional (3D) transforms. Two balanced descriptions are created from a video sequence. In the encoder, video sequence is represented in a form of coarse sequence approximation (shaper) included in both descriptions and residual sequence (details) which is split between two descriptions. The shaper is obtained by block-wise pruned 3D-DCT. The residual sequence is coded by 3D-DCT or hybrid, LOT+DCT, 3D-transform. The coding scheme is targeted to mobile devices. It has low computational complexity and improved robustness of transmission over unreliable networks. The coder is able to work at very low redundancies. The coding scheme is simple, yet it outperforms some MD coders based on motion-compensated prediction, especially in the low-redundancy region. The margin is up to 3 dB for reconstruction from one description.