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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References
Wang, W., Farid, H.: Exposing digital forgeries in video by detecting duplication. In: Proceedings of ACM 9th Workshop on Multimedia and Security, pp. 35–42 (2007)
Kobayashi, M., Okabe, T., Sato, Y.: Detecting video forgeries based on noise characteristics. In: Pacific-Rim Symposium on Image and Video Technology, pp. 306–317 (2009)
Hsu, C.-C., Hung, T.-Y., Lin, C.-W., Hsu, C.-T.: Video forgery detection using correlation of noise residue. In: Proceedings of the IEEE 10th Workshop on Multimedia Signal Processing, pp. 170–174 (2008)
Lin, G.S., Chang, J.F., Chuang, C.H.: Detecting frame duplication based on spatial and temporal analyses. In: Proceedings of the IEEE Conference on Computer Science and Education, pp. 1396–1399 (2011)
Bestagini, P., Milani, S., Tagliasacchi, M., Tubaro, S.: Local tampering detection in video sequences. In: IEEE International Workshop on Multimedia Signal Processing, pp. 488–493 (2013)
Mondaini, N., Caldelli, R., Piva, A., Barni, M., Cappellini, V.: Detection of malevolent changes in digital video for forensic applications. In: Proceedings of SPIE, Security, Steganography, and Watermarking of Multimedia Contents IX, vol. 6505 (2007)
Singh, V.K., Pant, P., Tripathi, R.C.: Detection of frame duplication type of forgery in digital video using sub-block based features. In: James, J., Breitinger, F. (eds.) Digital Forensics and Cyber Crime. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 157. Springer, Cham (2015)
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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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