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1 Cropped Region Estimation The peak position of a given correlation plane is equal to the left top point of cropped region. This fact is used to detect the cropped region. If the estimated ^ the position of the peak is (xl, yt), and the size of test video is scaling factor is N, R ÂC, the right down point of the cropped region (xr, yd) is calculated as follows. 2 1 1 xl þ Â C; yt þ Â R N^ N^ (11) Partially Manipulated Region Estimation If the surveillance video is partially manipulated, the manipulated region will have weak energy of SPN or not be synchronized with the RSPN.
We also compared the proposed method with Chen’s method . To decide identification threshold tpce, we calculated PCE values among RSPNs which represent each surveillance camera and TSPNs from every test video. Figure 6 depicts ROC curves compiled from all the pairs with different tpce. 5%. Moreover, the ROC curves indicate that the proposed algorithm is indeed more robust to false alarms than Chen’s method. 5% for each scaling factor. The bigger scaling factor, the smaller region is cropped from the video.
We assume here that the portion of the image that underwent modifications is relatively small with regards to the surface of the whole picture. e. the Dresden database) that makes possible further comparisons of our algorithm with other approaches. Keywords Digital image forensic • Image authentication • Forgeries detection • Sensor noise. W. -L. S. 1007/978-1-4614-3501-3_4, # Springer Science+Business Media, LLC 2013 37 38 W. -L. Dugelay 1 Introduction In today’s digital age, images and videos play a vital role in several applications like video surveillance, news, social networks, etc.
Canon 3D Papercraft - Toys pop-up-teacup e a4