Illegal 3D Content Distribution Tracking System based on DNN Forensic Watermarking

Jaehyoung Park; Jihye Kim; Jiyou Seo; Sangpil Kim; Jong Hyouk Lee

doi:10.1109/ICAIIC57133.2023.10067060

Illegal 3D Content Distribution Tracking System based on DNN Forensic Watermarking

Jaehyoung Park
, Jihye Kim
, Jiyou Seo
, Sangpil Kim
, Jong Hyouk Lee

Department of Artificial Intelligence

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

With the development of the metaverse industry and the expansion of the 3D content market required to build the metaverse ecosystem, artificial intelligence technology that can create usable 3D content is developing. On the other hand, there is currently no legal definition of copyright for 3D content created based on artificial intelligence, and the scope of copyright application is ambiguous. In the current situation where copyright disputes and infringements on 3D contents are expected, this paper proposes a Deep Neural Network (DNN) forensic watermarking-based illegal 3D content distribution tracking system to protect illegal copying and distribution of 3D content. In this paper, we present our design result for the illegal 3D content distribution tracking system with detailed architecture, components, and message flows.

Original language	English
Title of host publication	5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	777-781
Number of pages	5
ISBN (Electronic)	9781665456456
DOIs	https://doi.org/10.1109/ICAIIC57133.2023.10067060
Publication status	Published - 2023
Event	5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023 - Virtual, Online, Indonesia Duration: 2023 Feb 20 → 2023 Feb 23

Publication series

Name	5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023

Conference

Conference	5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023
Country/Territory	Indonesia
City	Virtual, Online
Period	23/2/20 → 23/2/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

AI
Copyright
Forensic Watermark

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems
Signal Processing
Decision Sciences (miscellaneous)
Information Systems and Management
Artificial Intelligence

Access to Document

10.1109/ICAIIC57133.2023.10067060

Cite this

Park, J., Kim, J., Seo, J., Kim, S., & Lee, J. H. (2023). Illegal 3D Content Distribution Tracking System based on DNN Forensic Watermarking. In 5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023 (pp. 777-781). (5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAIIC57133.2023.10067060

Illegal 3D Content Distribution Tracking System based on DNN Forensic Watermarking. / Park, Jaehyoung; Kim, Jihye; Seo, Jiyou et al.
5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 777-781 (5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Park, J, Kim, J, Seo, J, Kim, S & Lee, JH 2023, Illegal 3D Content Distribution Tracking System based on DNN Forensic Watermarking. in 5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023. 5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023, Institute of Electrical and Electronics Engineers Inc., pp. 777-781, 5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023, Virtual, Online, Indonesia, 23/2/20. https://doi.org/10.1109/ICAIIC57133.2023.10067060

Park J, Kim J, Seo J, Kim S, Lee JH. Illegal 3D Content Distribution Tracking System based on DNN Forensic Watermarking. In 5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 777-781. (5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023). doi: 10.1109/ICAIIC57133.2023.10067060

Park, Jaehyoung ; Kim, Jihye ; Seo, Jiyou et al. / Illegal 3D Content Distribution Tracking System based on DNN Forensic Watermarking. 5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 777-781 (5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023).

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abstract = "With the development of the metaverse industry and the expansion of the 3D content market required to build the metaverse ecosystem, artificial intelligence technology that can create usable 3D content is developing. On the other hand, there is currently no legal definition of copyright for 3D content created based on artificial intelligence, and the scope of copyright application is ambiguous. In the current situation where copyright disputes and infringements on 3D contents are expected, this paper proposes a Deep Neural Network (DNN) forensic watermarking-based illegal 3D content distribution tracking system to protect illegal copying and distribution of 3D content. In this paper, we present our design result for the illegal 3D content distribution tracking system with detailed architecture, components, and message flows.",

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AB - With the development of the metaverse industry and the expansion of the 3D content market required to build the metaverse ecosystem, artificial intelligence technology that can create usable 3D content is developing. On the other hand, there is currently no legal definition of copyright for 3D content created based on artificial intelligence, and the scope of copyright application is ambiguous. In the current situation where copyright disputes and infringements on 3D contents are expected, this paper proposes a Deep Neural Network (DNN) forensic watermarking-based illegal 3D content distribution tracking system to protect illegal copying and distribution of 3D content. In this paper, we present our design result for the illegal 3D content distribution tracking system with detailed architecture, components, and message flows.

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Illegal 3D Content Distribution Tracking System based on DNN Forensic Watermarking

Abstract

Publication series

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Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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