Digital watermarking is a process to provide authenticity by hiding a data into an image or audio or document. Hiding of data in an image can be done in frequency domain. Since frequency domain based techniques are more robust against signal processing and geometric attacks than time domain techniques. One such frequency domain technique is developed based on combination of discrete wavelet transform, singular value decomposition and torus automorphism and is presented in this paper. This results prove that this method robust against different attacks and has good PSNR ratio.

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We propose an hierarchical video shot detection method to detect both abrupt and gradual transitions (dissolves and fade-groups). The philosophy of the method is to use a fast algorithm to pre-process the video by removing those frames which strictly does not comprising a normal scene. The remaining frames may contribute to fade-in fade-out or dissolve areas. These frames are processed by a complex and robust shot detection method. We used object(contour) matching as pre-processing algorithm and SURF on top of it for robustness.