International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 10, October 2013
ISSN 2319 - 4847
Real-Time Video watermarking of
uncompressed video using
FuzzyLogic
Shelly1, Simar preetkaur2
1
M.Tech Student, BBSBEC, Fatehgarhsahib, PTU
AssistantProfessor, BBSBEC, Fatehgarh Sahib, PTU
2
ABSTRACT
In this paper, a robust digital video watermarking scheme is proposed. The proposed method is based on extracting noisy portions
of video frames by using fuzzy logic and then embedding high capacity watermark in the form of text to these noisy portions. This
may leads to undesirable degradation of video quality. The simulation result shows the improvement in PSNR (peak signal to
noise ratio) and MSE (mean square error) and watermark can be completely extracted at the time of decoding. The proposed
algorithm is not computationally complex, produces almost no visual distortion, and can be accomplished in real time.
Keywords: Digital video watermarking, Fuzzy logic, PSNR, MSE
1. INTRODUCTION
MANY illegal copies of movies can be found on the Internet or on the street markets before their official release. Over
90% of these copies were made by recording films with camcorders in movie theatres [1]. People can easily copy and
Redistribute the images, videos, which render the copyright protection issues. Originally, cryptology is deemed as a best
choice for the information protection. The researchers find that the protected data is without any protection once the data
is decrypted. So the researchers are aware that cryptology is not sufficient for the copyright protection. Watermarking
technique provides a seamless interface between the protected data and the user. Up to date, watermarking research has
become most prevalent method for enforcing copyright protection of digital content. This technique imperceptibly alters
the media content by embedding a message. This message is used to either identify the owner of the content of the device
that created the illegal copy. When it comes to digital video, watermarks should be designed so that they are invisible
when the content is being displayed, furthermore, they should be robust to regular manipulations, such as video
compression, filtering and so on. Applications of watermarking technique include copyright protection, fingerprinting,
authentication, copy control, tamper detection and data hiding application such as broadcast monitoring [2]. Most
important of all applications is copyright protection, it is also the application most widely used nowadays. To aim at
copyright protection, the watermarking must meet two features: robustness and transparency. For robustness, it means
that watermark should be correctly extracted when the watermarked media is processed whether it is intentional or not.
For transparency, it means that the watermark could not cause distortion seriously to decrease the visual quality of the
host data. Copyright protection of image, audio, and video continues to remain the main objective of digital
watermarking. Digital watermark is a visible or an invisible mark inserted into a digital media, which generally serves
the purpose of identifying the Copyright owner of the media and acts as a deterrent for illegal copying and distribution. In
this paper, we propose a robust digital video watermarking scheme using fuzzy logic method for detecting the noisy
portions in the video frames before adding the watermark data to it.
This paper is organized into 4 sections. The next section presents the details of the proposed video watermark scheme and
the results are shown in section 3.Section 4 provides a conclusion and a further improvement of the scheme.
2. PROPOSED WATERMARKING ALGORITHM
The proposed watermarking algorithm includes the embedding process and extracting process and the watermarking
embedding and extracting structure diagram presented as fig (1) and fig (2).
2.1 WATERMARK EMBEDDING
In the proposed algorithm, the video is first read from computer frame by frame. The two main parameters are to be taken
care of are, first is frame size that should be accurate and secondly the value of frame per second. After reading a video
file, read the watermark in the form of text from the text file. Before adding the watermark, the text in watermark must be
converted to ASCII code. The details of watermark embedding process are as follows:
Volume 2, Issue 10, October 2013
Page 282
International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 10, October 2013
ISSN 2319 - 4847
Fig(1)
 Read the video file from pc frame by frame.
 Before adding the watermark in video frames, separate out the R, G, B components of each frame.
 Get the noisy portions in any of the R, G, or B components by using 3X3 fuzzy logic scanning mask.
 Noisy portions will be detected by setting up the threshold value Th.
 The number of noisy portions should be more than the number of data bytes to be stored in those noisy portions.
 Now add the watermark to the noisy portions and also the threshold value and save the watermarked video.
 Calculate the PSNR and MSE between the watermarked and original video.
2.2 WATERMARK EXTRACTION
 Before extracting the watermark from the watermarked video, separate out the watermarked video in its R, G and B
components.

Compute the noisy portions in video frames at the same threshold value.
Create the noise table in MATLAB so as to extract the watermarked data from those noisy portions.
Volume 2, Issue 10, October 2013
Page 283
International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Web Site: www.ijaiem.org Email: editor@ijaiem.org, editorijaiem@gmail.com
Volume 2, Issue 10, October 2013
ISSN 2319 - 4847
3. EXPERIMENTAL RESULTS AND ANALYSIS
In this experiment, we implemented the proposed video watermarking algorithm under visual studio 2008 environment.
The size of the mpg video we used is 320 x 240 and the watermark to be embedded is of 2433 bytes or 19464 bits. After
selecting a threshold value, we calculated the noisy portions for embedding 2433 bytes of data (text). Calculate the PSNR
and MSE for the scaling factor of 1, 0.75, and 0.5.
Results of PSNR and MSE is
Tab1-TestresultsforPSNRandMSE
scaling
factor
0.5
PSNR
(previous
results)[3]
37.17
PSNR
(new results)
36.8956
MSE (additional
new parameter)
0.0521
0.75
34.11
41.0293
0.0201
1
31.98
44.1291
0.0099
4. CONCLUSION
In this paper, a new video watermarking technique based on fuzzy based system was proposed. As experimental results
show that the proposed algorithm is highly robust. The disadvantage of this algorithm is that only uncompressed video is
required for embedding. The proposed work further can be done for the prevention of watermark distortion after
malicious attacks like frame swapping, frame averaging, and frame dropping. In future, some modifications are required
which make this algorithm more authenticated and secure.
References
[1] U.S. Piracy Fact Sheet, Motion Picture Association of America, 2005. [Online].
[2] Podilchuk, C.I. and E.J. Delp, Digital watermarking: algorithms and applications. IEEE Signal processing magazine,
2001. 18(4): p. 33-46.
[3] Tamas Tokar, Tomas Kanocz and Dusan Levicky, Digital watermarking of uncompressed video in special domain.
IEEE,2009
[4] Sang-woo-Lee, Dong-II-Seo, Novel Robust video watermarking algorithm based on adaptive modulation. 2012
ICACT, 2012
[5] D. Badrinath, Arun scaria, Dr. M. nirmala devi and N.Mohan kumar, A compressed domain dual video
watermarking for real time applications. IEEE,2011
[6] Aaron T. sharp et. al. Digital video Authentication with motion vector watermarking. IEEE2010
[7] Amir Zamanidoost et. al. A novel 3D wavelet based method for blind digital video watermarking. IEEE 2010
[8] Yadollah Zamanidoost et. al. Robust video watermarking against JPEG compression in 3D-DWT domain. IEEE
2011.
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