An anti-recompression video watermarking algorithm in bitstream domain

: Following the popularity of digital video application, video copying and dissemination have become very easy; however, this makes video hacking and piracy a potential threat in video communication. Video watermarking technology can solve the problem of copyright protection, and thus, it has been extensively researched. The robustness of the video watermarking algorithm in the bitstream domain is poor, especially the anti-recompression ability, since the watermarked video may be compressed again before transmitting. Considering this, this paper proposes a video watermarking algorithm in the bitstream domain based on moving object detection. To increase the robustness of the watermarking scheme, the moving macroblocks that belong to the moving object in each P frame can be identified via the moving object detection algorithm. Then, watermark embedding in the moving macroblocks is performed using codeword substitution to ensure the consistency of the bitstream. Moving object detection and watermark embedding are independent and are both carried out in the bitstream domain by partially decoding the bitstream; this avoids the complete decoding and reconstruction of the video, making the method to be highly efficient. The simulation results confirm that the proposed method is robust against recompression and has little impact on the video visual quality and no influence on the bit rate.

[1]  Min Wu,et al.  Secure video processing: Problems and challenges , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[2]  Nematollah Zarmehi,et al.  Robust Video Watermarking against H.264 and H.265 Compression Attacks , 2017, ArXiv.

[3]  Jeffrey A. Bloom,et al.  H.264/AVC stream replacement technique for video watermarking , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[4]  Xiao Zhou,et al.  A Survey on Robust Video Watermarking Algorithms for Copyright Protection , 2018, Applied Sciences.

[5]  Anastasis A. Sofokleous,et al.  Review: H.264 and MPEG-4 Video Compression: Video Coding for Next-generation Multimedia , 2005, Comput. J..

[6]  Steven Verstockt,et al.  Moving object detection in the HEVC compressed domain for ultra-high-resolution interactive video , 2017, 2017 IEEE International Conference on Consumer Electronics (ICCE).

[7]  Mark R. Pickering,et al.  An Overview of Digital Video Watermarking , 2018, IEEE Transactions on Circuits and Systems for Video Technology.

[8]  Rahul V. Patil,et al.  Data Hiding in Encrypted H.264/AVC Video Streams by Codeword Substitution , 2015 .

[9]  Rangding Wang,et al.  An improved scheme for data hiding in encrypted H.264/AVC videos , 2016, J. Vis. Commun. Image Represent..

[10]  Abhishek Tiwari,et al.  An effective approach for secure video watermarking based on H.264 coding standard , 2017, 2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT).

[11]  Sung-Min Kim,et al.  Data Hiding on H.264/AVC Compressed Video , 2007, ICIAR.

[12]  Gagandeep Kaur,et al.  An efficient watermarking scheme for enhanced high efficiency video coding/h.265 , 2018, Multimedia Tools and Applications.

[13]  Xiao Zhou,et al.  Anti-HEVC Recompression Video Watermarking Algorithm Based on the All Phase Biorthogonal Transform and SVD , 2018 .

[14]  R. Venkatesh Babu,et al.  A survey on compressed domain video analysis techniques , 2014, Multimedia Tools and Applications.

[15]  Xingjun Wang,et al.  A robust video watermarking scheme to scalable recompression and transcoding , 2016, 2016 6th International Conference on Electronics Information and Emergency Communication (ICEIEC).