Titlebook: Digital Watermarking; 7th International Wo Hyoung-Joong Kim,Stefan Katzenbeisser,Anthony T. S Conference proceedings 2009 Springer-Verlag B

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Run-Length and Edge Statistics Based Approach for Image Splicing Detection,ics. The statistical features extracted from image run-length representation and image edge statistics are used for splicing detection. The support vector machine (SVM) is used as the classifier. Our experimental results demonstrate that the two proposed features outperform existing ones both in detection accuracy and computational complexity.

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Conference proceedings 2009n Busan, Korea, in November 2008. The 36 regular papers included in the volume were carefully reviewed and selected from 62 submissions. Areas of interest to the conference are mathematical modeling of embedding and detection; information theoretic, stochastic aspects of data hiding; security issues

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Introduction: What’s Wrong with Literature?thin consecutive frames. An algorithm using bootstrapped time series is proposed to exploit this vulnerability. Experimental results demonstrate that this algorithm produces a video with a significantly lower similarity to the given watermarked video using the standard watermark detector.

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https://doi.org/10.1007/978-1-137-09277-9servation that luminance differential DC components inside one macro block are generally space correlated, so the quantization step can be adjusted according to adjacent differential components, to utilize properties of human visual system (HVS). Experimental results show that it can be implemented in real time with better visual quality.