Adaptive coarse-to-fine quantization for optimizing rate-distortion of progressive mesh compression - Archive ouverte HAL
Communication Dans Un Congrès Année : 2009

Adaptive coarse-to-fine quantization for optimizing rate-distortion of progressive mesh compression

Résumé

We propose a new connectivity-based progressive compression approach for triangle meshes. The key idea is to adapt the quantization precision to the resolution of each intermediate mesh so as to optimize the rate-distortion trade-off. This adaptation is automatically determined during the encoding process and the overhead is efficiently encoded using geometrical prediction techniques. We also introduce an optimization of the geometry coding by using a bijective discrete rotation. Results show that our approach delivers a better rate-distortion behavior than both connectivity-based and geometry-based compression state of the art methods
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Dates et versions

hal-01437771 , version 1 (17-01-2017)

Identifiants

  • HAL Id : hal-01437771 , version 1

Citer

Ho Lee, Guillaume Lavoué, Florent Dupont. Adaptive coarse-to-fine quantization for optimizing rate-distortion of progressive mesh compression. Vision, Modeling, and Visualization Workshop(VMV), Nov 2009, Braunschweig, Germany. pp.73-82. ⟨hal-01437771⟩
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