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Paper Abstract and Keywords
Presentation 2019-03-13 14:05
[Poster Presentation] Digital watermarking method using CNN including a robust extractor neural network against rotation

Ippei Hamamoto, Masaki Kawamura (Yamaguchi Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a digital watermarking method using neural networks, which can learn robust embedding and extraction processes against rotation and JPEG compression. 
The proposed neural networks consist of a stego-image generator, a watermark extractor, a stego-image discriminator, a rotation propagation layer, and an additive noise layer.
The rotation propagation layer and the additive noise layer simulate the rotation attack and the JPEG compression attack in the layers, respectively. Therefore, the stego-image generator can learn the robust embedding against these attacks, and also, the watermark extractor can extract watermarks without rotation synchronization. The quality of stego-images can be improved by using the stego-image discriminator, which is one of adversarial networks. 
We evaluated the robustness of watermarks and image quality. As a result, using the proposed method, high-quality stego-images could be generated and the neural networks could be trained so as to embed watermarks robustly and extract them correctly against rotation and JPEG compression attacks.
We also showed that the robustness and image quality can be adjusted by strength of simulated noise in the noise layer.
Keyword (in Japanese) (See Japanese page) 
(in English) digital watermark / neural network / CNN / rotation / JPEG compression / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 494, EMM2018-92, pp. 7-12, March 2019.
Paper # EMM2018-92 
Date of Issue 2019-03-06 (EMM) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee EMM  
Conference Date 2019-03-13 - 2019-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) TBD 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image and Sound Quality, Metrics for Perception and Recognition, Human Auditory and Visual System, etc. 
Paper Information
Registration To EMM 
Conference Code 2019-03-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Digital watermarking method using CNN including a robust extractor neural network against rotation
 
Sub Title (in English)  
Keyword(1) digital watermark  
Keyword(2) neural network  
Keyword(3) CNN  
Keyword(4) rotation  
Keyword(5) JPEG compression  
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1st Author's Name Ippei Hamamoto  
1st Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
2nd Author's Name Masaki Kawamura  
2nd Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
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Speaker
Date Time 2019-03-13 14:05:00 
Presentation Time 60 
Registration for EMM 
Paper # IEICE-EMM2018-92 
Volume (vol) IEICE-118 
Number (no) no.494 
Page pp.7-12 
#Pages IEICE-6 
Date of Issue IEICE-EMM-2019-03-06 


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