Abstract
With advances in digital camcorders, re-capturing commercial videos called camcorder theft is getting a big problem. In this paper, we propose an automatic detection method for re-captured videos based on the photo response non-uniformity (PRNU). To discern a re-captured video, a given video is divided into shots first. Several usable shots are selected and PRNU is estimated from each of the shots. Using peak-to-correlation energy (PCE), a connection matrix, which indicates which shots were recorded with a specific camcorder, is constructed. Then, false negative connections are corrected by using Warshall’s algorithm. With the number of connections from connection matrix, the given video is determined whether it was the re-captured or not. The experimental results show that the proposed method performs well even with compressed and scaled re-captured videos.
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Jung, DJ., Hyun, DK., Ryu, SJ., Lee, JW., Lee, HY., Lee, HK. (2012). Detecting Re-captured Videos Using Shot-Based Photo Response Non-Uniformity. In: Shi, Y.Q., Kim, HJ., Perez-Gonzalez, F. (eds) Digital Forensics and Watermarking. IWDW 2011. Lecture Notes in Computer Science, vol 7128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32205-1_23
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DOI: https://doi.org/10.1007/978-3-642-32205-1_23
Publisher Name: Springer, Berlin, Heidelberg
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