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 proceedingConference contributionpeer-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 languageEnglish
Title of host publicationProceedings of the 7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002
EditorsRonald Tetzlaff
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages78-83
Number of pages6
ISBN (Electronic)981238121X
DOIs
Publication statusPublished - 2002
Externally publishedYes
Event7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002 - Frankfurt, Germany
Duration: 22 Jul 200224 Jul 2002

Publication series

NameProceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications
Volume2002-January

Conference

Conference7th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2002
Country/TerritoryGermany
CityFrankfurt
Period22/07/0224/07/02

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

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