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Joint watermarking and progressive geometric compression of 3D meshes

Published: 17 June 2013 Publication History

Abstract

With the ever-increasing development of digital technologies and digital 3D models, the question of 3D mesh protection has becoming more and more important. One of the problems in digital watermarking is to decide how to embed in a 3D mesh as many bits of information as possible while ensuring that the hidden information can be correctly retrieved after 3D mesh compression. This paper describes a hybrid watermarking/compression system, adapted to semi-regular 3D meshes. The central contribution is to integrate blind watermarking, to geometric progressive compression algorithm. The latter consists on semi-regular wavelet transform and zerotree coding approach. The proposed embedding method operates in the discrete wavelet transform domain using dither modulation principal. This work shows the ability of joint watermarking/compression scheme to guarantee watermark robustness against compression attacks while inducing a low quality degradation.

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cover image ACM Conferences
IH&MMSec '13: Proceedings of the first ACM workshop on Information hiding and multimedia security
June 2013
242 pages
ISBN:9781450320818
DOI:10.1145/2482513
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 17 June 2013

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Author Tags

  1. 3D compression
  2. blind watermarking
  3. dither modulation
  4. semi-regular 3D meshes
  5. wavelet transform

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IH&MMSec '13 Paper Acceptance Rate 27 of 74 submissions, 36%;
Overall Acceptance Rate 128 of 318 submissions, 40%

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