Paper
16 December 2021 Ceramic product copyright transaction model based on blockchain smart contracts
Chao Li, Feng Yu, Yu Nie, Yilai Zhang, Guaghua Song, Chengyang Dai
Author Affiliations +
Proceedings Volume 12153, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021); 1215305 (2021) https://doi.org/10.1117/12.2626638
Event: International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021), 2021, Sanya, China
Abstract
With the rise of living standards, more and more people pay attention to the grade of ceramic products. The beautiful appearance of two different ceramic products of the same type can bring a price difference of more than 1,000 times. Because the structure of ceramic products is simple, easy to imitate, and difficult to identify, many imitation products have infringed on the rights of customers and original product enterprises. Therefore, copyright protection becomes particularly important. However, traditional methods of copyright registration fail to satisfy the requirements due to their long cycle, non-transferable, and cumbersome in rights confirmation, etc. In this paper, we combine the appearance and structural features of ceramic products, investigate an approach for rights confirmation and infringement tracking with the digital features of ceramic products. As another contribution, we propose to establish a copyright transaction model based on smart contracts. To identify the infringement acts, we invoke smart contracts to extract the rights. Through the computer vision algorithms to compare the similarity between physical products and digital resources. Combined with this research, the registration, confirmation, traceability, and transaction of ceramic product copyright can be well realized.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chao Li, Feng Yu, Yu Nie, Yilai Zhang, Guaghua Song, and Chengyang Dai "Ceramic product copyright transaction model based on blockchain smart contracts", Proc. SPIE 12153, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021), 1215305 (16 December 2021); https://doi.org/10.1117/12.2626638
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KEYWORDS
Ceramics

Data modeling

Feature extraction

3D modeling

Data storage

Image registration

Machine vision

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