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Detecting moving objects from background in video sequences is the first step of many image applications. The background can be divided into two types according to whether the pixel values of it are variable or not: static one and dynamic one. How to correctly detect moving foreground objects from dynamic scenes is a difficult problem because of the similarity between the moving foreground and the...
A new approach for detecting video logo-removal forgery is proposed by measuring inconsistencies of blur. Our approach is based on the assumption that if a digital video undergoes logo-removal forgery; the blurriness value of the forged region is expected to be different as compared to the non-tampered parts of the video. Blurriness is estimated by the regularity properties in the wavelet domain which...
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