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Object based watermarking for H.264/AVC video resistant to rst attacks

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Abstract

In this paper, a compressed domain video watermarking scheme is proposed which embeds the watermark in the homogeneous moving object within a shot of video sequence to resist geometric attacks such as rotation, scaling etc. Intuitively, object based watermarking results low payload and has the least impact on visual quality since the object area is generally small and highly textured. The proposed work has two main contributions, firstly, an existing compressed domain motion coherent block detection algorithm [7] is extended to detect the moving objects within a video shot and secondly, a watermarking scheme has been proposed by embedding within the moving objects to resist RST attacks. A comprehensive set of experiments has been carried out to justify the applicability of the proposed scheme over the existing literature.

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References

  1. Babu R, Ramakrishnan K, Srinivasan S (2004) Video object segmentation: a compressed domain approach. Circuits and Systems for Video Technology. IEEE Trans 14(4):462–474. doi:10.1109/TCSVT.2004.825536

    Google Scholar 

  2. Barni M, Bartolini F, Checcacci N (2005) Watermarking of mpeg-4 video objects. Multimed, IEEE Trans 7(1):23–32. doi:10.1109/TMM.2004.840594

    Article  Google Scholar 

  3. Bas P, Macq B (2001) A new video-object watermarking scheme robust to object manipulation. In: Image Processing, 2001. Proceedings. 2001 International Conference on, vol 2, pp 526–529, doi:10.1109/ICIP.2001.958544

  4. Chen YH, Huang HC Coevolutionary genetic watermarking for owner identification. Neural Computing and Applications pp 18 (2014). doi:10.1007/s00521-014-1615-z

  5. De Bruyne S, Poppe C, Verstockt S, Lambert P, Van de Walle R (2009) Estimating motion reliability to improve moving object detection in the h.264/avc domain. In: Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on, pp 330-333. doi:10.1109/ICME.2009.5202501

  6. Dong P, Xia Y, Zhuo L, Feng D (2011) Real-time moving object segmentation and tracking for h.264/avc surveillance videos. In: Image Processing (ICIP), 2011 18th IEEE International Conference on, pp 2309–2312. doi:10.1109/ICIP.2011.6116063

  7. Dutta T, Sur A, Nandi S (2013) Mcrd: Motion coherent region detection in h.264 compressed video. In: Multimedia and Expo (ICME), 2013 IEEE International Conference on, pp 1–6. doi:10.1109/ICME.2013.6607430

  8. El Allali A, Elabbadi J, Elhaj E (2011) Object based video watermarking sheme using feature points. In: Multimedia Computing and Systems (ICMCS), 2011 International Conference on, pp 1–5. doi:10.1109/ICMCS.2011.5945567

  9. Essaouabi A., Elhassane I. (2010) A wavelet based object watermarking system for image and video. In: International Journal Of Electrical And Computer Engineering 5: 1 2010

  10. Fu Y, Shen R (2007) An object based robust video watermarking scheme. In: Anti-counterfeiting, Security, Identification, 2007 IEEE International Workshop on, pp 188–193. doi:10.1109/IWASID.2007.373724

  11. Gujjunoori S, Amberker B (2014) Reversible data embedding for mpeg-4 video using middle frequency dct coefficients. J Inf Hiding Multimed Signal Process 5(3):408–419

    Google Scholar 

  12. Guo J, Zhang D, Shi Pf (2003) Self-synchronizing watermarking scheme for an arbitrarily shaped object. Pattern Recogn 36(11):2737–2741

    Article  Google Scholar 

  13. He D, Sun Q (2004) A rst resilient object-based video watermarking scheme. In: Image Processing, 2004. ICIP ’04. 2004 International Conference on, vol 2, pp 737–740. doi:10.1109/ICIP.2004.1419403

  14. Huang HC, Pan JS, Shieh CS, Wang FH (2003) Progressive watermarking techniques with genetic algorithms. In: Security Technology, 2003. Proceedings. IEEE 37th Annual 2003 International Carnahan Conference on, pp 62–65

  15. Liu L, Feng X, Ji R, Deng Y (2008) A moving object segmentation in mpeg compressed domain based on motion vectors and dct coefficients. In: Image and Signal Processing, 2008. CISP ’08. Congress on, vol 3, pp 605–609. doi:10.1109/CISP.2008.7

  16. Lu CS, Liao HY (2001) Video object-based watermarking: a rotation and flipping resilient scheme. In: Image Processing, 2001. Proceedings. 2001 International Conference on, vol 2, pp 483–486. doi:10.1109/ICIP.2001.958533

  17. Marpe D, Wiegand T, Sullivan G (2006) The h.264/mpeg4 advanced video coding standard and its applications. IEEE Commun Mag 44(8):134–143. doi:10.1109/MCOM.2006.1678121

    Article  Google Scholar 

  18. Niu C, Liu Y (2009) Moving object segmentation based on video coding information in h.264 compressed domain. In: Image and Signal Processing, 2009. CISP ’09. 2nd International Congress on, pp 1–5. doi:10.1109/CISP.2009.5303718

  19. Noorkami M, Mersereau R (2007) A framework for robust watermarking of h.264-encoded video with controllable detection performance. Information Forensics and Security. IEEE Trans 2(1):14–23. doi:10.1109/TIFS.2006.890306

    Google Scholar 

  20. Richardson IE (2010) The H.264 Advanced Video Compression Standard. Wiley. http://www.amazon.com/H-264-Advanced-Video-Compression-Standard/dp/0470516925%3FSubscriptionId%3D0JYN1NVW651KCA56C102%26tag%3Dtechkie-20%26linkCode%3Dxm2%26camp%3D2025%26creative%3D165953%26creativeASIN%3D0470516925

  21. H.264/AVC JM Reference Software. http://iphome.hhi.de/suehring/tml/

  22. Sun L, Dai M, Chen X (2012) A simple and fast moving object segmentation based on h.264 compressed domain information. In: Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on, pp 481–484. doi:10.1109/ICCIS.2012.45

  23. Dhavale SV, Deodhar RS, D.P. Patnaik L (2014) High payload adaptive audio watermarking based on cepstral feature modification. J Inf Hiding Multimed Signal Process 5 (4)

  24. Swanson M, Zhu B, Chau B, Tewfik A (1997) Object-based transparent video watermarking. In: Multimedia Signal Processing, 1997., IEEE First Workshop on, pp 369–374. doi:10.1109/MMSP.1997.602663

  25. Szczerba K, Forchhammer S, Stottrup-Andersen J, Eybye PT (2009) Fast compressed domain motion detection in h.264 video streams for video surveillance applications. In: Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS ’09. IEEE Computer Society, DC, USA, pp 478–483. doi:10.1109/AVSS.2009.78

  26. Szolgay D, Benois-Pineau J, Megret R, Gaestel Y, Dartigues JF (2011) Detection of moving foreground objects in videos with strong camera motion. Pattern Anal Appl 14(3):311–328. doi:10.1007/s10044-011-0221-2.

    Article  MathSciNet  Google Scholar 

  27. Wang L, Ling H, Zou F, Lu Z (2012) Real-time compressed- domain video watermarking resistance to geometric distortions. IEEE MultiMed 19(1):70–79. doi:10.1109/MMUL.2011.76

    Article  MathSciNet  Google Scholar 

  28. Wang R, Zhang HJ, Zhang YQ (2000) A confidence measure based moving object extraction system built for compressed domain. In: Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on, vol 5, pp 21–24. doi:10.1109/ISCAS.2000.857353

  29. Wiegand T, Sullivan G, Bjontegaard G, Luthra A (2003) Overview of the h.264/avc video coding standard. Circuits and Systems for Video Technology, vol 13, pp 560–576. doi:10.1109/TCSVT.2003.815165

  30. Yang J., Wang S., Lei Z., Zhao Y., Li S.Z. (2012) Spatio-temporal lbp based moving object segmentation in compressed domain. In: Advanced Video and Signal-Based Surveillance (AVSS), 2012 IEEE Ninth International Conference on, pp 252–257. doi:10.1109/AVSS.2012.68

  31. Zeng W, Du J, Gao W, Huang Q (2005) Robust moving object segmentation on h.264/avc compressed video using the block-based mrf model. Real-Time Imaging 11(4):290–299. doi:10.1016/j.rti.2005.04.008. http://www.sciencedirect.com/science/article/pii/S1077201405000252

    Article  Google Scholar 

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Correspondence to Sibaji Gaj.

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This work is under grant for DST (SERC) project “Shot Based Video Watermarking For Very Low Bit Rate Video”

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Gaj, S., Patel, A.S. & Sur, A. Object based watermarking for H.264/AVC video resistant to rst attacks. Multimed Tools Appl 75, 3053–3080 (2016). https://doi.org/10.1007/s11042-014-2422-3

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  • DOI: https://doi.org/10.1007/s11042-014-2422-3

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