Index terms-- Video watermarking, Discrete Wavelet Transform, Multimedia security

Abstract-- This paper proposes a method of embedding a digital watermark image in video. In the watermarking, the decomposed watermark image with different resolution is embedded in the corresponding resolution of the decomposed video by means of multiresolution signal decomposing. The experimental results show that the proposed method is robust against the attack of frame dropping, averaging and lossy compression

Robust image hashing based on random Gabor filtering and dithered lattice vector quantization

In this paper, we propose a robust-hash function based on random Gabor filtering and dithered lattice vector quantization (LVQ). In order to enhance the robustness against rotation manipulations, the conventional Gabor filter is adapted to be rotation invariant, and the rotation-invariant filter is randomized to facilitate secure feature extraction. Particularly, a novel dithered-LVQ-based quantization scheme is proposed for robust hashing. The dithered-LVQ-based quantization scheme is well suited for robust hashing with several desirable features, including better tradeoff between robustness and discrimination, higher randomness, and secrecy, which are validated by analytical and experimental results. The performance of the proposed hashing algorithm is evaluated over a test image database under various content-preserving manipulations. The proposed hashing algorithm shows superior robustness and discrimination performance compared with other state-of-the-art algorithms, particularly in the robustness against rotations (of large degrees)