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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5899))

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Abstract

In this section, we discuss about the technology of video forgery. There are three technologies we will discuss. The first is inpainting, inpainting is an algorithm developed for a long time. It includes image inpainting, video inpainting, and motion inpainting. Exemplar-Based Image Inpainting[1] is a technique which be proposed in 2004. It completes the area of an object which is manually selected and removed by the users. The image inpainting is focused on images computing, when this technique was used in a video sequence, it will produce another problem called “ghost shadow”. In order to prevent this phenomenon, we proposed a method to solve in our previous research [2]. We use our proposed algorithm to generate the panorama of our video.

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References

  1. Criminisi, A., Perez, P., Toyama, K.: Region Filling and Object Removal by Exemplar-Based Image Inpainting. IEEE Transactions Image Processing 13, 1200–1212 (2004)

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  2. Shih, T.K., Tang, N.C., Hwang, J.N.: Ghost Shadow Removal in Multi-Layered Video Inpainting. In: Proc. of the IEEE 2007 International Conference on Multimedia & Expo, July 2007, pp. 1471–1474 (2007)

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  3. Cheung, C.-H., Po, L.-M.: Novel cross-diamond-hexagonal search algorithms for fast block motion estimation. IEEE Trans. on Multimedia 7(1), 16–22 (2005)

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  4. Rav-Acha, A., Pritch, Y., Lischinski, D., Peleg, S.: Dynamosaics: Video Mosaics with Non-Chronological Time. IEEE Trans. Pattern Analysis and Machine Intelligence 29(10), 1789–1801 (2007)

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© 2009 Springer-Verlag Berlin Heidelberg

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Shih, T.K., Tsai, J.C., Tang, N.C., Chang, SM., Lin, Y.Y. (2009). Video Forgery. In: Lee, Yh., Kim, Th., Fang, Wc., Ślęzak, D. (eds) Future Generation Information Technology. FGIT 2009. Lecture Notes in Computer Science, vol 5899. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10509-8_2

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  • DOI: https://doi.org/10.1007/978-3-642-10509-8_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10508-1

  • Online ISBN: 978-3-642-10509-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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