Bit Allocation for Spatio-temporal Wavelet Coding of Animated Semi-regular Meshes

  • Authors:
  • Aymen Kammoun;Frédéric Payan;Marc Antonini

  • Affiliations:
  • Laboratoire I3S (UMR 6070 CNRS-Université de Nice - Sophia Antipolis), Sophia Antipolis, France 06903;Laboratoire I3S (UMR 6070 CNRS-Université de Nice - Sophia Antipolis), Sophia Antipolis, France 06903;Laboratoire I3S (UMR 6070 CNRS-Université de Nice - Sophia Antipolis), Sophia Antipolis, France 06903

  • Venue:
  • MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
  • Year:
  • 2009

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Abstract

In this paper, we propose a compression scheme for animated semi-regular meshes. This scheme includes a spatio-temporal wavelet filtering to exploit the coherence both in time and space. In order to optimize the quantization of both spatial and temporal wavelet coefficients, the proposed compression scheme also includes a model-based bit allocation. The experimental results show that this approach significantly improves the compression performances, when comparing with previous similar approaches.