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Abstract: The objective of this paper is to propose an efficient model-based bit allocation process optimizing the performances of a wavelet coder for semiregular meshes. More precisely, this process should compute the best quantizers for the wavelet coefficient subbands that minimize the reconstructed mean square error, for one specific target bitrate. In order to design a fast and low complex allocation process, we propose an approximation of the reconstructed mean square error relative to the coding... (Update)
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BibTeX entry: (Update)
@article{ payan_tvcg_06,
author = {F. Payan and M. Antonini},
title = {Mean Square Error Approximation for Wavelet-based Semiregular Mesh Compression,
journal = {Transactions on Visualization and Computer Graphics (TVCG)},
editor = {IEEE}, year = 2006, volume = 12, issue=4, month = {July/August},
url = {citeseer.ist.psu.edu/payan06mean.html} }
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3 Geometry compression of normal meshes using rate-distortion .. (context) - Lavu, Choi et al. - 2003
2 Mse approximation for model-based compression of multiresolu.. - Payan, Antonini - 2005
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