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Distributed Watermarking for Cross-Domain of Semantic Large Image Database

Tai, L.D. and Thang, N.K. and Thanh, T.M. (2020) Distributed Watermarking for Cross-Domain of Semantic Large Image Database. In: 6th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2020, 24 August 2020 through 28 August 2020.

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Abstract

This paper proposes a new method of distributed watermarking for large image database that is used for deep learning. We detect the semantic meaning of set of images from the database and embed the a part of watermark into such images set. A part of watermark is one shadow generated from the original watermark by using (n, n) secret sharing scheme. Each shadow is embedded into DCT-SVD domain of one image from the dataset. Since the image sets have multiple image and are distributed in the whole of multiple database, we expect that the proposed method is robust against several attacks. © 2020, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculties > Faculty of Information Technology
Identification Number: 10.1007/978-3-030-63083-6_13
Uncontrolled Keywords: Deep learning; Image watermarking; Intelligent systems; Semantics; Watermarking; Cross-domain; Image sets; Images sets; Large image database; Multiple image; Secret sharing schemes; Distributed database systems
Additional Information: Conference code: 252119. Language of original document: English.
URI: http://eprints.lqdtu.edu.vn/id/eprint/9094

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