Robust compressed domain watermarking algorithm for video protection and authentication in noisy channels

This paper introduces a robust and noise-resilient compressed domain video watermarking technique fordata authentication and copyright protection. In recent years, watermarking has emerged as an essential technique tobe equipped with data transmission. The main challenge pertaining to transmission is to protect the watermark fromnoise introduced by the channel. Here, we address this issue by watermark replication and by using the independent passcoding (INPAC) algorithm for compression. A replicated watermark is embedded into the video by the proposed blindvideo watermarking algorithm and then the watermarked video is compressed by the INPAC algorithm. The compressedvideo is transmitted through binary symmetric channels and tested under various bit error rates to evaluate the proposedalgorithm in noisy environments. The results obtained suggest that the proposed algorithm is capable of handling noiseefficiently and the overhead due to key embedding is observed to be only about 3%.

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[1] Bhattacharya S, Chattopadhyay T, Pal A. A survey on different video watermarking techniques and comparative analysis with reference to h.264/avc. In: IEEE 2006 Tenth International Symposium on Consumer Electronics; St. Petersburg, Russia; 2006. pp. 1-6.
[2] Chang X, Wang W, Zhao J, Zhang L. A survey of digital video watermarking. In: IEEE 2011 Seventh International Conference on Natural Computation; Shanghai, China; 2011. pp. 61-65.
[3] Goel B, Agarwal C. An optimized un-compressed video watermarking scheme based on SVD and DWT. In: IEEE 2013 Sixth International Conference on Contemporary Computing; Noida, India; 2013. pp. 307-312.
[4] Raghavendra K, Chetan K. A blind and robust watermarking scheme with scrambled watermark for video authentication. In: IEEE 2009 International Conference on Internet Multimedia Services Architecture and Applications; Bangalore, India; 2009. pp. 1-6.
[5] Petrovic R, Yang DT. Audio watermarking in compressed domain. In: 9th International Conference on Telecommunication in Modern Satellite, Cable, and Broadcasting Services; Nis, Serbia; 2009. pp. 395-401.
[6] Mansouri A, Aznaveh AM, Torkamani-Azar F, Kurugollu F. A low complexity video watermarking in h. 264 compressed domain. IEEE Transactions on Information Forensics and Security 2010; 5 (4): 649–657. doi: 10.1109/TIFS.2010.2076280
[7] Asikuzzaman M, Pickering MR. An overview of digital video watermarking. IEEE Transactions on Circuits and Systems for Video Technology 2016; 28 (9): 2131-2153. doi: 10.1109/TCSVT.2017.2712162
[8] Liu S, Chen T, Yao H, Gao W. A real-time video watermarking using adjacent luminance blocks correlation based on compressed domain. In: IEEE 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing; Harbin, China; 2008. pp. 833-836.
[9] Asikuzzaman M, Alam MJ, Lambert AJ, Pickering MR. Imperceptible and robust blind video watermarking using chrominance embedding: a set of approaches in the dt cwt domain. IEEE Transactions on Information Forensics and Security 2014; 9 (9): 1502-1517. doi: DOI: 10.1109/TIFS.2014.2338274
[10] Naveen C, Satpute VR, Kulat KD, Keskar AG. Comparative analysis of video compression mechanisms based on EZW coded 3D-DWT and AVI. In: IEEE 2014 International Symposium on Signal Processing and Information Technology; Noida, India; 2014. pp. 96-101.
[11] Tabassum T, Islam SM. A digital video watermarking technique based on identical frame extraction in 3-level dwt. In: IEEE 2012 15th International Conference on Computer and Information Technology; Chittagong, Bangladesh; 2012. pp. 101-106.
[12] Li LZA. A study on video watermark based-on discrete wavelet transform and genetic algorithm. In: IEEE 2009 First International Workshop on Education Technology and Computer Science; Wuhan, China; 2009. pp. 374-377.
[13] Al-Taweel SA, Sumari P, Kamarulhaili H. Digital video watermarking based on 3d-discrete wavelet transform domain. In: IEEE 2009 International Conference on Signal and Image Processing Applications; Kuala Lumpur, Malaysia; 2009. pp. 352-356.
[14] Tianming G, Yanjie W. DWT-based digital image watermarking algorithm. In: IEEE 2011 10th International Conference on Electronic Measurement & Instruments; Chengdu, China; 2011. pp. 163-166.
[15] Tian L, Zheng N, Xue J, Xu T. A cavlc-based blind watermarking method for h. 264/avc compressed video. In: IEEE 2008 Asia-Pacific Services Computing Conference; Yilan, Taiwan; 2008. pp. 1295-1299.
[16] Nambakhsh MS, Ahmadian A, Ghavami M, Dilmaghani RS, Karimi-Fard S. A novel blind watermarking of ECG signals on medical images using EZW algorithm. In: IEEE 2006 28th Annual International Conference of the IEEE on Engineering in Medicine and Biology Society; New York, NY, USA; 2006. pp. 3274-3277.
[17] Shapiro JM. Embedded image coding using zerotrees of wavelet coefficients. IEEE Transactions on Signal Processing 1993; 41 (12): 3445-3462. doi: 10.1109/78.258085
[18] Said A, Pearlman WA. A new, fast, and efficient image codec based on set partitioning in hierarchical trees. IEEE Transactions on Circuits and Systems for Video Technology 1996; 6 (3): 243–250. doi: 10.1109/76.499834
[19] Cheggoju N, Satpute VR. INPAC: Independent pass coding algorithm for robust image data transmission through low snr channels. Visual Computer 2018; 34 (4): 563-573. doi: https://doi.org/10.1007/s00371-017-1361-1
[20] Naveen C, Satpute V, Kulat K, Keskar A. Video encoding techniques based on 3D-DWT. In: IEEE 2014 Students’ Conference on Electrical, Electronics and Computer Science; Bhopal, India; 2014. pp. 1-6.
[21] Satpute V, Kadu S, Naveen C. Compressed domain video watermarking using EZW and chaos. In: IEEE 2006 Region 10 Conference; Singapore; 2016. pp. 3083-3086.
[22] He C, Dong J, Zheng YF, Gao Z. Optimal 3-D coefficient tree structure for 3-D wavelet video coding. IEEE Transactions on Circuits and Systems for Video Technology 2003; 13 (10): 961-972. doi: 10.1109/TCSVT.2003.816514
[23] Wang Z, Bovik AC, Sheikh HR, Simoncelli EP. Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing 2004; 13 (4): 600-612. doi: 10.1109/TIP.2003.819861
[24] Lusson F, Bailey K, Leeney M, Curran K. A novel approach to digital watermarking, exploiting colour spaces. Signal Processing 2013; 93 (5): 1268-1294. doi: https://doi.org/10.1016/j.sigpro.2012.10.018
[25] Su Q, Niu Y, Zou H, Liu X. A blind dual color images watermarking based on singular value decomposition. Applied Mathematics and Computation 2013; 219 (16): 8455-8466. doi: https://doi.org/10.1016/j.amc.2013.03.013
26] Liu XL, Lin CC, Yuan SM. Blind dual watermarking for color images authentication and copyright protection. IEEE Transactions on Circuits and Systems for Video Technology 2018; 28 (5): 1047-1055. doi: 10.1109/TCSVT.2016.2633878
[27] Karmakar A, Phadikar A, Phadikar BS, Maity GK. A blind video watermarking scheme resistant to rotation and collusion attacks. Journal of King Saud University-Computer and Information Sciences 2016; 28 (2): 199-210. doi: https://doi.org/10.1016/j.jksuci.2014.06.019