Detecting re-captured videos using shot-based photo response non-uniformity

Authors:
Dae-Jin Jung;Dai-Kyung Hyun;Seung-Jin Ryu;Ji-Won Lee;Hae-Yeoun Lee;Heung-Kyu Lee
Affiliations:
Department of CS, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea;Department of CS, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea;Department of CS, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea;Department of CS, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea;Department of Computer Software Engineering, Kumoh National Institute of Technology, Gumi, Gyeongbuk, Republic of Korea;Department of CS, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
Venue:
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
Year:
2011

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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.