Research Article
Distributed Watermarking for Cross-Domain of Semantic Large Image Database
4 downloads
@INPROCEEDINGS{10.1007/978-3-030-63083-6_13, author={Le Danh Tai and Nguyen Kim Thang and Ta Minh Thanh}, title={Distributed Watermarking for Cross-Domain of Semantic Large Image Database}, proceedings={Industrial Networks and Intelligent Systems. 6th EAI International Conference, INISCOM 2020, Hanoi, Vietnam, August 27--28, 2020, Proceedings}, proceedings_a={INISCOM}, year={2020}, month={11}, keywords={Distributed watermarking Multiple image database Image sets}, doi={10.1007/978-3-030-63083-6_13} }- Le Danh Tai
Nguyen Kim Thang
Ta Minh Thanh
Year: 2020
Distributed Watermarking for Cross-Domain of Semantic Large Image Database
INISCOM
Springer
DOI: 10.1007/978-3-030-63083-6_13
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.
Copyright © 2020–2025 ICST
