A new robust forensic marking using peak position modulation for video

Authors:
Jihah Nah;JongWeon Kim;Jaeseok Kim
Affiliations:
Yonsei University, Seoul, Korea;Sangmyung University, Seoul, Korea;Yonsei University, Seoul, Korea
Venue:
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Year:
2009

Citing 4
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Abstract

In this paper, we proposed a new video forensic marking algorithm to hide special information of the content user in order to prevent the illegal distribution of the video content. The information which is hid to trace the illegal distribution of the content is the copyright owner information, buyer information, upload and download time, and so on. So, the algorithm has to ensure the enough payloads and the robustness against to frame cropping, noise addition, compression, and other malicious attacks. The proposed algorithm used the 3D wavelet transformation and the spread spectrum method for the peak position modulation of the spread spectrum correlation. As the result, the PSNR is over 38dB at strength 5 and it satisfies the transparency and the BER is 0% in this algorithm.