Key generation for static visual watermarking by machine learning
Key generation for static visual watermarking by machine learning
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DOI：
10.1109/icmlc.2009.5212624
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发表时间：
2009-07
期刊：
影响因子：
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通讯作者：
Kensuke Naoe;H. Sasaki;Yoshiyasu Takefuji
中科院分区：
文献类型：
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作者：
Kensuke Naoe;H. Sasaki;Yoshiyasu Takefuji
数字水印成为版权保护的一项关键技术。本文提出了一种利用机器学习技术生成静态视觉数字水印密钥的方法，并将神经网络作为机器学习方法的典型方法。所提出的方法是使用机器学习方法来为智能移动协作提供安全的数据交易，在此神经网络方法作为示例性技术。
Digital watermarking became a key technology for protecting copyrights. In this paper, we propose a method of key generation scheme for static visual digital watermarking by using machine learning technology, neural network as its exemplary approach for machine learning method. The proposed method is to provide intelligent mobile collaboration with secure data transactions using machine learning approaches, herein neural network approach as an exemplary technology.