Abstract
In the field of multimedia, real-time video encoding systems and copyright protections, digital watermarking plays main role and shows promising means. In the same regard, digital watermarking is applied in compressed domain for video transmitting and storing to protect the contents of the main video signal. The need for video compressing and embedding has proven its importance due to its wide applications in daily life activities to protect these videos to be easily manipulated (e.g., trimmed, cropped, re-compressed). There have been several compression techniques for digital videos. One of the efficient standard compression video techniques is High-Efficiency Video Coding (HEVC), a beneficiary to H.264 Advanced Video Coding (AVC), where it is considered as a latest standard for video compression with high compression rate. In this study, a robust digital watermarking technique with a blind extraction procedure for HEVC-encoded video is proposed. From practical point of view, a readable digital watermark is embedded imperceptibly in 4 \(\times\) 4 intra-predicted sub-blocks of the HEVC-tested video. The proposed watermarking structure imposes security by monitoring the spatio-temporal features in the target compressed video and generate a random key to select the appropriate embedding regions. The HEVC standard encoded video was exploiting to implement the embedding procedure. Practically, the experimental outcomes show that the proposed work restricts the increase in video bit rate and degradation of perceptual quality. In addition, the proposed scheme produces an average performance of the visual degradation up to 0.42 dB at the expense of 2.85% bit rate overhead and it shows good quality and robustness against additive Gaussian noise.
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References
Tew Y, Wong K. An overview of information hiding in H.264/AVC compressed video. IEEE Trans Circ Syst Video Technol. 2014;24(2):305–319.
Lu C, Hsu C. Near-optimal watermark estimation and its countermeasure: antidisclosure watermark for multiple watermark embedding. IEEE Trans Circ Syst Video Technol. 2007;17(4):454–67.
Al-Otum HM. Semi-fragile watermarking for grayscale image authentication and tamper detection based on an adjusted expanded-bit multiscale quantization-based technique. J Vis Commun Image Represent. 2014;25:1064–81.
Sullivan G, Ohm J, Han W-J, Wiegand T. Overview of the high efficiency video coding (HEVC) standard. IEEE Trans Circ Syst Video Technol. 2012;22(12):1649–68.
Vanne J, Vitanen M, Hamalainen TD. Efficient mode decision schemes for HEVC inter prediction. IEEE Trans Circ Syst Video Technol. 2014;24(9):1579–93.
Khmag A, Kamarudin N (2019) Natural image deblurring using recursive deep convolutional neural network (R-DbCNN) and Second-Generation Wavelets. In 2019 IEEE International Conference on signal and image processing applications (ICSIPA), pp 285–290
Meerwald P, Uhl A. Robust watermarking of H.264/SVC-Encoded video: quality and resolution scalability. In: Kim H-J, Shi Y, Barni M, editors. Digital watermarking lecture notes in computer science, vol. 6526. Berlin: Springer; 2011. p. 159–69.
Ogawa K, Ohtake G (2015) Watermarking for HEVC/H.265 stream. In: Proceedings of ICCE, vol. 5, p. 102–103
KhmagAl-HaddadHashim ASARSJB. Additive and multiplicative noise removal based on adaptive wavelet transformation using cycle spinning. Am J Appl Sci. 2014;11(2):316.
Navas K, Sasikumar M (2007) Survey of medical image watermarking algorithms. In: Proceedings of International Conference on sciences of electronics, technologies of information and telecommunications, vol. 12, p. 25–29
Roy S, Li X, Shoshan Y, Fish A, Yadid-Pecht O. Hardware implementation of a digital watermarking system for video authentication. IEEE Trans Circuits Syst Video Technol. 2013;23(2):289–301.
Bamane NR, Patil SB. Comparison & performance analysis of different digital video watermarking techniques. Int J Sci Eng Res. 2013;4(1):1–6.
Boho A, Van Wallendael G, Dooms A, De Cock J, Braeckman G, Schelkens P, Preneel B, Van De Walle R. End-to-end security for video distribution: the combination of encryption, watermarking, and video adaptation. IEEE Sig Process Magaz. 2013;30(2):97–107.
Tew Y, Wong K (2014) Information hiding in HEVC standard using adaptive coding block size decision. In: 21th IEEE Int. Conference on Image Process (ICIP), vol. 5, p. 5502–5506
Helle P, Lakshman H, Siekmann M, Stegemann J, Hinz T, Schwarz H, Marpe D, Wiegand T (2013) A scalable video coding extension of HEVC. In: IEEE Conference on Data Compression (DCC), Snowbird: UT, vol. 18, p. 201–210
KhmagRamliAl-haddadYusoffKamarudin AARSARSNH. Denoising of natural images through robust wavelet thresholding and genetic programming. Vis Comput. 2016;33(9):1141–54.
Xu D, Wang R, Wang J. A novel watermarking scheme for H.264/AVC video authentication. Sig Process Image Commun. 2011;26(6):267–79.
Lo S-W, Wei Z, Ding X, Deng RH (2014) Generic attacks on content-based video stream authentication. In: IEEE Int. Conference on Multimedia and Expo Workshops, 2014, pp 1–6
Chuang J-C, Hu Y-C. An adaptive image authentication scheme for vector quantization compressed image. J Vis Commun Image Represent. 2011;22:440–9.
Baldimtsi F, Kiayias A, Samari K (2017) Atermarking public-key cryptographic functionalities and implementations. In: International Conference on Information Security, vol. 2, p. 173–191
Khmag A, Ramli AR (2009) Implementation and evaluation of new cryptography algorithm for e-mail applications. Int J Comput Internet Manag, 17, 34–43
Cohen A, Holmgren J, Nishimaki R, Vaikuntanathan V, Wichs D. Watermarking cryptographic capabilities. SIAM J Comput. 2018;47(6):2157–202.
ichardson IE. The H.264 advanced video compression standard. Wiley, Vcodex Limited; 2011.
Mansouri A, Aznaveh A, Torkamani F, Kurugollu F. A low complexity video watermarking in H.264 compressed domain. IEEE Trans Inf For Secur. 2010;5(4):649–57.
Furht B, Kirovski D, editors. multimedia encryption and authentication techniques and applications. Auerbach Publications; 2006.
Dutta T (2014) Robust compressed domain video watermarking for H.264/AVC, Ph.D. Thesis, Indian Institute of Technology Guwahati, 2014
Khmag A, Mallallah F, Sharef B (2019) Additive noise level estimation based on singular value decomposition (SVD) in natural digital images. In: International Conference on signal and image processing applications, vol 7. IEEE, p. 342–348.
HEVC Reference Software (2012) http://hevc.kw.bbc.co.uk/trac/browser/jctvc-hm/tags. Accessed 4 May 2021
Xiph.org Video Test Media [derf’s collection] (2015) https://media.xiph.org/video/derf/. Accessed 29 March 2021
Noorkami M, Mersereau RM. A framework for robust watermarking of H.264-encoded video with controllable detection performance. IEEE Trans Inf For Secur. 2007;2(1):14–23.
Li J, Liu H, Huang J, Shi YQ. Reference index-based H.264 video watermarking scheme. ACM Trans Multim Comput Commun Appl. 2012;8(2S):33:1-33:22.
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Khmag, A. A Robust Watermarking Technique for High-Efficiency Video Coding (HEVC) Based on Blind Extraction Scheme. SN COMPUT. SCI. 2, 329 (2021). https://doi.org/10.1007/s42979-021-00729-y
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DOI: https://doi.org/10.1007/s42979-021-00729-y