DocumentCode
3111571
Title
Embedding watermarks in compressed video using fuzzy C-means clustering
Author
Lin, Daw-Tung ; Liao, Guan-Jhih
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Taipei Univ., Taipei
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
1053
Lastpage
1058
Abstract
Although digitalization and the Internet are very convenient and useful for personal users and industry, they suffer from shortcomings of security. For instance, private content is difficult to protect and fake versions of multimedia data can be produced. Digital watermarking offers some effective solutions. This work presents a video watermarking scheme that uses motion vectors to define the place where the watermarks are embedded, and the number of watermark bits vary dynamically among frames. Fuzzy C-means (FCM) clustering method is utilized to select the motion vectors and the positions of the watermarks. The advantages of this work are twofold. A novel watermarking strategy is presented that does not require manual selection of watermark bits location. The number of embedded motion vector clusters differs depending on the motion characteristics in each frame. This significant property possesses higher security. As can be concluded from the experimental results, the watermarked video retains satisfactory quality with very small degradation.
Keywords
data compression; fuzzy set theory; pattern clustering; video coding; watermarking; compressed video; digital watermarking; embedded motion vector clusters; fuzzy C-means clustering; multimedia data; private content; video watermarking scheme; watermarking strategy; Computer science; Data security; Degradation; Image coding; Information security; Internet; Protection; Streaming media; Video compression; Watermarking; compressed video; fuzzy C-means clustering; motion vector; video watermarking;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
Conference_Location
Singapore
ISSN
1062-922X
Print_ISBN
978-1-4244-2383-5
Electronic_ISBN
1062-922X
Type
conf
DOI
10.1109/ICSMC.2008.4811421
Filename
4811421
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