Abstract
Digital watermarks have been proposed for authentication of both video and still images. In such applications, the watermark is embedded within a host image such that subsequent alteration to the watermarked image can be detected with high probability. In this paper the possibility of implementing real time watermarking on a video stream is presented. In fact the new CNN-UM implementation offers time operation of only microseconds working on 64x64 images.
Original language | English |
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Title of host publication | Proceedings of the 7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002 |
Editors | Ronald Tetzlaff |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 78-83 |
Number of pages | 6 |
ISBN (Electronic) | 981238121X |
DOIs | |
Publication status | Published - 2002 |
Externally published | Yes |
Event | 7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002 - Frankfurt, Germany Duration: 22 Jul 2002 → 24 Jul 2002 |
Publication series
Name | Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications |
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Volume | 2002-January |
Conference
Conference | 7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002 |
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Country/Territory | Germany |
City | Frankfurt |
Period | 22/07/02 → 24/07/02 |
Bibliographical note
Publisher Copyright:© 2002 World Scientific Publ. Co. Pte. Ltd.
Keywords
- Authentication
- Cellular neural networks
- Cryptography
- Digital images
- Image processing
- Image sequences
- Robustness
- Streaming media
- Turing machines
- Watermarking