Vishnu Vardhan Reddy Mukku Mav ID : Under the guidance of Dr. K. R. Rao

RDO -- Rate Distortion Optimization DCT -- Discrete Cosine Transform LSB -- Least Significant Bit HM -- Histogram Manipulation

Introduction H.264 compression basics Data representation schemes a)Bit plane replacement b)Spread spectrum c)Histogram manipulation d)Mapping rules e)Divisibility f)Matrix encoding Conclusions References

Information hiding refers to the process of inserting information into a host to serve specific purpose(s) [1]. Information hiding is also referred as data embedding. In video domain, the application of information hiding can be coarsely categorized as watermarking, steganography, error recovery (resilient), and general data embedding. Fig. 1. General framework of information hiding [1]

Introduction (Cont.) Need for Information hiding for the videos includes, 1) tracking illegal distribution of copyrighted video to secure business revenue. 2) hyperlinking related contents while ensuring the hyperlink information always stays intact with the video to enhance user experiences. 3)monitoring video broadcasts and Internet distributions to generate reports regarding when, where, and how many times a video has been streamed. Fig. 2. Original video (left) and visible watermarked video (right) [1]

H.264 encoder: Fig.3: H.264 hybrid video encoder [1]

An information hiding method can be illustrated by the relationship among state, entity, and the meaning of each state. Fig.4: State of the entity and its meaning for information hiding [1]

Fig.5: Classification of data representation schemes for information hiding in H.264 compressed video [1]

In this presentation the Commonly considered data representation schemes and the hiding venues were summarized. In the further steps are the implementation of the information hiding(water marking) using intra mode prediction and block size.

[1] Y.Tew and K.Wong, “An Overview of Information Hiding in H.264/AVC Compressed Video,” IEEE Trans. Circuits Syst. Video Technol., vol. 24, NO. 2, pp , Feb [2] J. Mielikainen, “LSB matching revisited,” IEEE Signal Process. Lett., vol. 13, no. 5, pp. 285–287, May [3] X.Li, B.Yang et al., “A generalization of LSB matching,” IEEE Signal Process. Lett., vol. 16, no. 2, pp. 69–72, Feb [4]I. J. Cox, J. Kilian, et al. Shamoon, “Secure spread spectrum watermarking for multimedia,” IEEE Trans. Image Process., vol. 6, no. 12, pp. 1673–1687, Dec [5] Z. Ni, Y.-Q. Shi, N. Ansari, and W. Su, “Reversible data hiding,” IEEE Trans. Circuits Syst. Video Technol., vol. 16, no. 3, pp. 354–362, Mar [6] S. Kapotas, E. Varsaki, and A. Skodras, “Data hiding in H.264 encoded video sequences,” in Proc. IEEE 9th Workshop Multimedia Signal Process., pp. 373–376, Oct

[7] D. Coltuc and J.-M. Chassery, “High capacity reversible watermarking,” in Proc. IEEE Int. Conf. Image Process., pp. 2565–2568 Oct [8] J. Fridrich, M. Goljan, and R. Du, “Invertible authentication watermark for JPEG images,” in Proc. Int. Conf. Inform. Technol. Coding Comput., pp. 223–227, Apr [9] R. Crandall. (1998, Dec.) Some notes on steganography [Online]. Available: /steganografia/LINKS%20LOCALI/matrix-encoding.pdf [10] T. Shanableh, “Matrix encoding for data hiding using multilayer video coding and transcoding solutions,” Signal Process. Image Commun., vol. 27, pp. 1025–1034, Oct References (Cont.)