Based on the Markov model for English text analysis algorithmsfor the watermark generation and detection was designed in this paper. A novel intelligent text zero-watermarking approach based on probabilistic patterns is proposed in this paper for content authentication and tamper detection of text documents. In the study of content authentication and tamper detection of digital text documents, there are very limited techniques available for content authentication of text documents using digital watermarking techniques. The scheme can be tested by applying various attacks. Combining the two transforms improved the performance of the watermark algorithm. Experimental results show high imperceptibility where there is no noticeable difference between the watermarked video frames and the original frames. The proposed scheme is tested using a number of video sequences. In this paper, a comprehensive approach for digital video watermarking is introduced, where a binary watermark image is embedded into the video frames. The watermark is embedded into the principal components of the LL blocks and HH blocks in different ways. PCA is applied to each block of the two bands (LL – HH) which result from Discrete Wavelet transform of every video frame. The proposed scheme is an imperceptible and a robust hybrid video watermarking scheme. This paper presents a novel technique for embedding a binary logo watermark into video frames. Watermarking techniques have been proposed for these purposes in which the copyright information is embedded into multimedia data in order to protect the ownership. Security and copyright protection are becoming important issues in multimedia applications and services, as Past few years have witnessed rapid growth in Digital video watermarking.
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