DocumentCode :
2286051
Title :
Watermarking for the authentication of video on CNN-UM
Author :
Arena, P. ; Basile, A. ; Fortuna, L. ; Yalcin, M.E. ; Vandewalle, J.
Author_Institution :
Dipt. Elettrico Elettronico e Sistemistico, Catania Univ., Italy
fYear :
2002
fDate :
22-24 Jul 2002
Firstpage :
78
Lastpage :
83
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 64×64 images.
Keywords :
cellular neural nets; neural chips; real-time systems; video coding; watermarking; cellular neural network universal machine; images; real-time digital watermarking; video authentication; video stream; Authentication; Cellular neural networks; Cryptography; Digital images; Image processing; Image sequences; Robustness; Streaming media; Turing machines; Watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on
Print_ISBN :
981-238-121-X
Type :
conf
DOI :
10.1109/CNNA.2002.1035038
Filename :
1035038
Link To Document :
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