Email this article 
Open Access
Subscription or Fee Access
Key Frames Based Video Authentication Using Fragile Watermarking and Singular Value Decomposition
(*) Corresponding author
DOI: https://doi.org/10.15866/irecos.v11i5.9111
Abstract
It is becoming easier to alter a digital content in ways that are difficult to detect. If this digital content was a medical video or a critical video piece of evidence in a legal case, this form of modification might pose serious problems. In order to deal with this issue, this paper presents a fragile watermarking scheme to authenticate uncompressed video using key frames, singular value decomposition and Faber Schauder discrete wavelet transform. The video key frames are extracted where each key frame presents a video sequence and comes in the end of it. Then the Faber Schauder dominant blocks singular values of every frame are computed and placed in a matrix to be used later as a mark. This mark is inserted in the key frame salient regions. These operations are repeated for every sequence separately. Using this fragile watermarking scheme we show that any frame alteration can be detected and the video quality remains high. The method is fast and fragile to any modification.
Copyright © 2016 Praise Worthy Prize - All rights reserved.
Keywords
References
C. Xiaoling and Z. Huimin, A Novel Video Content Authentication Algorithm Combined Semi-fragile Watermarking with Compressive Sensing, in Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on , vol., no., pp.134-137, 6-7 Jan. 2012.
http://dx.doi.org/10.1109/isdea.2012.413
Y. Shi, M. Qi, Y. Yi, M. Zhang and J. Kong, Object based dual watermarking for video authentication, Int. J. Light Electron Opt. , vol. 124 , no. 19 , pp.3827 -3834 , 2013.
http://dx.doi.org/10.1016/j.ijleo.2012.11.078
M. Fallahpour, S. Shirmohammadi, Semsarzadeh and M. Jiying Zhao, Tampering Detection in Compressed Digital Video Using Watermarking, Instrumentation and Measurement, IEEE Transactions on , vol.63, no.5, pp.1057-1072, May 2014.
http://dx.doi.org/10.1109/tim.2014.2299371
R.D. Patil and S. Metkar, Fragile video watermarking for tampering detection and localization, Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on , vol., no., pp.1661-1666, 10-13 Aug. 2015.
http://dx.doi.org/10.1109/icacci.2015.7275852
C. Ingemar, M. Matthew, B. Jeffrey, F. Jessica, K. Ton, Digital Watermarking and Steganography (ED.2, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA,2007).
J. Vandewalle, and B. De Moor, A variety of applications of singular value decomposition in identification and signal processing, SVD and Signal Processing E. Deprettere (ed.), North Holland, 1988, pp. 4391.
S. Kapre Bhagyashri and M.Y. Joshi, Robust image watermarking based on singular value decomposition and discrete wavelet transform, Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on , vol.5, no., pp.337-341, 9-11 July 2010.
http://dx.doi.org/10.1109/iccsit.2010.5563757
H. Douzi, D. Mammass, F. Nouboud, Faber-Schauder wavelet transformation application to edge detection and image characterization, Journal of Mathematical Imaging and Vision Kluwer Academic Press,Vol. 14, n. 2, pp. 91-102,2001.
W. Sweldens, The lifting scheme, A construction of second generation wavelets, SIAM Journal on Mathematical Analysis, vol. 29, n. 2, pp. 511-546, 1998.
http://dx.doi.org/10.1137/s0036141095289051
S. Szenasi , Distributed Region Growing Algorithm for Medical Image Segmentation, International Journal of Circuits, Systems and Signal Processing, Vol. 8, n. 1, pp.173-181,2014.
J. Canny, A computational approach to edge Detection, in Pattern Analysis and Machine Intelligence, IEEE Transactions, pp. 679-698, 1986.
http://dx.doi.org/10.1109/tpami.1986.4767851
M. El Hajji, H. Douzi, D. Mammas, R. Harba, F. Ros, A New Image Watermarking Algorithm Based on Mixed Scales Wavelets, J. Electron. Imaging , Vol. 21, n. 1.2012.
http://dx.doi.org/10.1117/1.jei.21.1.013003
Azeroual, A., Afdel, K., Low Complexity Image Authentication Based on Singular Value Decomposition and Mixed Scales Faber Schauder Wavelet, (2015) International Review on Computers and Software (IRECOS), 10 (12), pp. 1209-1215.
http://dx.doi.org/10.15866/irecos.v10i12.8096
S.C. Byun., S.K. Lee., A.H. Tew-fik., B.H. Ahn., A SVD-Based Fragile Watermarking Scheme for Image Authentication, International Workshop on Digital Watermarking, LNCS 2613, (Page: 170-178, 2003).
http://dx.doi.org/10.1007/3-540-36617-2_14
N. Otsu, A threshold selection method from grey scale histogram, IEEE Trans. on SMC, Vol. 1, pp. 62-66, 1979.
M. Hajji, H. Douzi and R. Harba, Watermarking Based on the Density Coefficients of Faber-Schauder Wavelets, Proceedings of the 3rd international conference on Image and Signal Processing, July 01-03, 2008, Cherbourg-Octeville, France.
http://dx.doi.org/10.1007/978-3-540-69905-7_52
A. Azeroual, K. Afdel, M. El Hajji and H. Douzi, On-line Key Frame Extraction and Video Boundary Detection using Mixed Scales Wavelets and SVD, International Journal of Circuits, Systems and Signal Processing, Vol. 9, pp.420-426, 2015.
S. Lei, G. Xie, and G. Yan, A Novel Key-Frame Extraction Approach for Both Video Summary and Video Index, The Scientific World Journal, vol. 2014, Article ID 695168, 9 pages, 2014.
http://dx.doi.org/10.1155/2014/695168
Harkat, H., Dosse Bennani, S., Ground Penetrating Radar Imaging for Buried Cavities in a Dispersive Medium: Profile Reconstruction Using a Modified Hough Transform Approach and a Time-Frequency Analysis, (2015) International Journal on Communications Antenna and Propagation (IRECAP), 5 (2), pp. 78-92.
http://dx.doi.org/10.15866/irecap.v5i2.4978
Refbacks
- There are currently no refbacks.
Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize
