Jansen van Rensburg, Bianca, Bors, Adrian Gheorghe orcid.org/0000-0001-7838-0021, Puech, William et al. (1 more author) (2023) Simultaneous Watermarking and Draco 3D Object Compression Method. In: IEEE International Conference on Image Processing (ICIP). IEEE , Kuala Lumpur, Malayesia , pp. 725-729.
Abstract
In our present society, 3D objects play an increasingly important role in many different domains, especially with the development of meta environments. Many applications demand large 3D objects, which makes their compression a requirement. Meanwhile, 3D objects are also exposed to various security problems during online storage and transmission. Consequently, security aspects such as copyright and authentication are essential for 3D objects. In this paper, we propose a simultaneous 3D object watermarking and compression method based on Draco. A watermarking step is integrated within Draco, Google's 3D compression method, which is rapidly being universally adopted as standard. The proposed method enables a large bit embedding rate, which can be used for copyright information. The proposed method is also, to the best of our knowledge, the first watermarking method for 3D objects compressed with Draco. Index Terms-3D object watermarking, Draco, 3D object compression, 3D object security, multimedia security.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | ©IEEE 2023. This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 20 Dec 2024 12:30 |
Last Modified: | 01 Mar 2025 00:11 |
Published Version: | https://doi.org/10.1109/ICIP49359.2023.10222430 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ICIP49359.2023.10222430 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:221036 |