KEYWORDS: Digital watermarking, Video, Visualization, Digital filtering, Gaussian filters, Video compression, Video processing, Linear filtering, Computer simulations, Visual compression
This paper presents a robust and efficient scene-based video watermarking method using visual rhythm in compressed domain. A visual rhythm is a two dimensional abstraction of the entire three dimensional video contents obtained by cutting through the video sequence across the time axis or by sampling a certain group of pixels in consecutive video frames. Knowing that scene changes can be easily detected using visual rhythm and video sequences are conveniently edited at the scene boundaries, such scene-based watermark embedding process is a logical choice for video watermarking. Temporal spread spectrum can be achieved by applying spread spectrum methods to visual rhythm. Additive Gaussian noise, low-pass filtering, median filtering and histogram equalization attacks are simulated for all frames. Frame sub-sampling is also simulated as a typical video attack. Simulation results show that proposed algorithm is robust and efficient against these attacks.
KEYWORDS: Digital watermarking, Video, Video compression, Computer programming, Quantization, Video processing, Digital filtering, Linear filtering, Video coding, Virtual colonoscopy
In this paper, we propose a real-time video watermarking algorithm for MPAG streams. Watermarking Technique has been studied as a method to hide secret information into the signals so as to discourage unauthorized copy or attest the origin of the media. In the proposed algorithm, we take advantage of compression information of MPEG bistreams to embed the watermark into I-, P-, and B-Picture. The experimental results show that the proposed watermarking technique results almost invisible difference between watermarked MPEG video and original MPEG video, and reduces the processing time. Moreover, it shows robustness against a variety of attacks as well.
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