Watermarking for the authentication of video on CNN-UM

P. Arena; A. Basile; L. Fortuna; M. E. Yalçin; J. Vandewalle

doi:10.1109/CNNA.2002.1035038

Watermarking for the authentication of video on CNN-UM

P. Arena, A. Basile, L. Fortuna, M. E. Yalçin, J. Vandewalle

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

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
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	https://doi.org/10.1109/CNNA.2002.1035038
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
Volume	2002-January

Conference

Conference	7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002
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

Access to Document

10.1109/CNNA.2002.1035038

Cite this

Arena, P., Basile, A., Fortuna, L., Yalçin, M. E., & Vandewalle, J. (2002). Watermarking for the authentication of video on CNN-UM. In R. Tetzlaff (Ed.), Proceedings of the 7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002 (pp. 78-83). Article 1035038 (Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications; Vol. 2002-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CNNA.2002.1035038

Arena, P. ; Basile, A. ; Fortuna, L. et al. / Watermarking for the authentication of video on CNN-UM. Proceedings of the 7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002. editor / Ronald Tetzlaff. Institute of Electrical and Electronics Engineers Inc., 2002. pp. 78-83 (Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications).

@inproceedings{371371e40dfd41389c69823fcb1f490e,

title = "Watermarking for the authentication of video on CNN-UM",

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.",

keywords = "Authentication, Cellular neural networks, Cryptography, Digital images, Image processing, Image sequences, Robustness, Streaming media, Turing machines, Watermarking",

author = "P. Arena and A. Basile and L. Fortuna and Yal{\c c}in, \{M. E.\} and J. Vandewalle",

note = "Publisher Copyright: {\textcopyright} 2002 World Scientific Publ. Co. Pte. Ltd.; 7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002 ; Conference date: 22-07-2002 Through 24-07-2002",

year = "2002",

doi = "10.1109/CNNA.2002.1035038",

language = "English",

series = "Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "78--83",

editor = "Ronald Tetzlaff",

booktitle = "Proceedings of the 7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002",

address = "United States",

}

Arena, P, Basile, A, Fortuna, L, Yalçin, ME & Vandewalle, J 2002, Watermarking for the authentication of video on CNN-UM. in R Tetzlaff (ed.), Proceedings of the 7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002., 1035038, Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications, vol. 2002-January, Institute of Electrical and Electronics Engineers Inc., pp. 78-83, 7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002, Frankfurt, Germany, 22/07/02. https://doi.org/10.1109/CNNA.2002.1035038

Watermarking for the authentication of video on CNN-UM. / Arena, P.; Basile, A.; Fortuna, L. et al.
Proceedings of the 7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002. ed. / Ronald Tetzlaff. Institute of Electrical and Electronics Engineers Inc., 2002. p. 78-83 1035038 (Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications; Vol. 2002-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Yalçin, M. E.

AU - Vandewalle, J.

PY - 2002

Y1 - 2002

N2 - 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.

AB - 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.

KW - Authentication

KW - Cellular neural networks

KW - Cryptography

KW - Digital images

KW - Image processing

KW - Image sequences

KW - Robustness

KW - Streaming media

KW - Turing machines

KW - Watermarking

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DO - 10.1109/CNNA.2002.1035038

M3 - Conference contribution

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T3 - Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications

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BT - Proceedings of the 7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002

A2 - Tetzlaff, Ronald

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002

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ER -

Arena P, Basile A, Fortuna L, Yalçin ME, Vandewalle J. Watermarking for the authentication of video on CNN-UM. In Tetzlaff R, editor, Proceedings of the 7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002. Institute of Electrical and Electronics Engineers Inc. 2002. p. 78-83. 1035038. (Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications). doi: 10.1109/CNNA.2002.1035038

Watermarking for the authentication of video on CNN-UM

Abstract

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Bibliographical note

Keywords

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