Abstract
Soft computing in the area of information security is a promising field for the creation of intelligent solutions. This paper discusses a method for digital watermarking using artificial neural networks to realize secure copyright protection of visual information without any damage. The discussed watermark extraction keys and feature extraction keys identify the secure and unique hidden patterns for proper digital watermarks. In the experiments, we have shown that the proposed method is robust to high pass filtering and JPEG compression of visual information, only for those watermark extraction keys which were able to identify the proper hidden bit patterns from original visual information using corresponding feature extraction keys. The proposed method is to contribute to secure visual digital watermarking without damaging or losing any detailed data of visual information.
| Original language | English |
|---|---|
| Title of host publication | SoCPaR 2009 - Soft Computing and Pattern Recognition |
| Pages | 545-550 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2009 |
| Event | International Conference on Soft Computing and Pattern Recognition, SoCPaR 2009 - Malacca, Malaysia Duration: 2009 Dec 4 → 2009 Dec 7 |
Other
| Other | International Conference on Soft Computing and Pattern Recognition, SoCPaR 2009 |
|---|---|
| Country | Malaysia |
| City | Malacca |
| Period | 09/12/4 → 09/12/7 |
Fingerprint
Keywords
- Artificial neural networks
- Digital rights management
- Digital watermarking
- Information hiding
- Machine learning
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Computer Vision and Pattern Recognition
- Software
Cite this
Damageless digital watermarking by machine learning : A method of key generation for information extraction using artificial neural networks. / Naoe, Kensuke; Sasaki, Hideyasu; Takefuji, Yoshiyasu.
SoCPaR 2009 - Soft Computing and Pattern Recognition. 2009. p. 545-550 5368676.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Damageless digital watermarking by machine learning
T2 - A method of key generation for information extraction using artificial neural networks
AU - Naoe, Kensuke
AU - Sasaki, Hideyasu
AU - Takefuji, Yoshiyasu
PY - 2009
Y1 - 2009
N2 - Soft computing in the area of information security is a promising field for the creation of intelligent solutions. This paper discusses a method for digital watermarking using artificial neural networks to realize secure copyright protection of visual information without any damage. The discussed watermark extraction keys and feature extraction keys identify the secure and unique hidden patterns for proper digital watermarks. In the experiments, we have shown that the proposed method is robust to high pass filtering and JPEG compression of visual information, only for those watermark extraction keys which were able to identify the proper hidden bit patterns from original visual information using corresponding feature extraction keys. The proposed method is to contribute to secure visual digital watermarking without damaging or losing any detailed data of visual information.
AB - Soft computing in the area of information security is a promising field for the creation of intelligent solutions. This paper discusses a method for digital watermarking using artificial neural networks to realize secure copyright protection of visual information without any damage. The discussed watermark extraction keys and feature extraction keys identify the secure and unique hidden patterns for proper digital watermarks. In the experiments, we have shown that the proposed method is robust to high pass filtering and JPEG compression of visual information, only for those watermark extraction keys which were able to identify the proper hidden bit patterns from original visual information using corresponding feature extraction keys. The proposed method is to contribute to secure visual digital watermarking without damaging or losing any detailed data of visual information.
KW - Artificial neural networks
KW - Digital rights management
KW - Digital watermarking
KW - Information hiding
KW - Machine learning
UR - http://www.scopus.com/inward/record.url?scp=77649324871&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77649324871&partnerID=8YFLogxK
U2 - 10.1109/SoCPaR.2009.109
DO - 10.1109/SoCPaR.2009.109
M3 - Conference contribution
AN - SCOPUS:77649324871
SN - 9780769538792
SP - 545
EP - 550
BT - SoCPaR 2009 - Soft Computing and Pattern Recognition
ER -