The proposed scheme embedded the watermark during the differential pulse code modulation process and extracted through decoding the entropy details. This technique utilize the moving picture expert groups standard
In this paper, we propose a novel approach for facial expression decomposition -Higher-Order Singular Value Decomposition (HOSVD), a natural generalization of matrix SVD. We learn the expression subspace and person subspace from a corpus of images showing seven basic facial expressions, rather than resort to expert-coded facial expression parameters as in [3]. We propose a simultaneous face and facial expression recognition algorithm, which can classify the given image into one of the seven basic facial expression categories, and then other facial expressions of the new person can be synthesized using the learned expression subspace model. The contributions of this work lie mainly in two aspects. First, we propose a new HOSVD based approach to model the mapping between persons and expressions, used for facial expression synthesis for a new person. Second, we realize simultaneous face and facial expression recognition as a result of facial expression decomposition. Experimental results are presented that illustrate the capability of the person subspace and expression subspace in both synthesis and recognition tasks. As a quantitative measure of the quality of synthesis, we propose using Gradient Minimum Square Error (GMSE) which measures the gradient difference between the original and synthesized images.
Video watermarking plays a key role in copyright protection domain of today's world. In the following paper, a blind watermarking algorithm is being proposed in which the watermark information is being embedded by little alteration of some of the value of DCT coefficients of luminance part of video during encoding it in MPEG-2 style. It is obvious that for any type of watermarking the three parameters, robustness, perceptibility and payload capacity must be simulated in order to provide better results . But unfortunately there is always a trade off among all these three parameters. But the proposed algorithm focused on one more issue, 'elapsed time', a serious concern in video watermarking. The special care must be taken that how much time the system takes to embed the watermark. The algorithm is being tested also against several intentional and unintentional attacks to judge the robustness of this scheme. To maintain the perceptibility issue the value of threshold is manage in such a way that the quality of video must not being compromised during the embedding process. Therefore, the superiority of this algorithm is that our approach has covered three characteristics and evaluated better results as compared to the existing techniques proposed by other researchers.
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