Abstract
With the advent of high-quality digital video cameras and sophisticated video editing software, it is becoming easier to tamper with digital videos. A common form of manipulation is to clone or duplicate frames or parts of a frame to remove people or objects from a video. We describe a computationally efficient technique for detecting this form of tampering. After detection of frame duplication localization of frame sequence has also been done. Detection as well as localization of forgery are found better than other techniques.
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Singh, V.K., Chakraborty, P., Tripathi, R.C. (2018). Detection and Localization of Duplicated Frames in Doctored Video. In: Abraham, A., Muhuri, P., Muda, A., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2017. Advances in Intelligent Systems and Computing, vol 736. Springer, Cham. https://doi.org/10.1007/978-3-319-76348-4_64
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DOI: https://doi.org/10.1007/978-3-319-76348-4_64
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