Rotation-Tolerant Camera Identification Using Optimal Tradeoff Circular Harmonic Function Correlation Filter
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概要
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In this paper, we propose a novel camera identification method based on photo-response non-uniformity (PRNU), which performs well even with rotated videos. One of the disadvantages of the PRNU-based camera identification methods is that they are very sensitive to de-synchronization. If a video under investigation is slightly rotated, the identification process without synchronization fails. The proposed method solves this kind of out-of-sync problem, by achieving rotation-tolerance using Optimal Tradeoff Circular Harmonic Function (OTCHF) correlation filter. The experimental results show that the proposed method identifies source device with high accuracy from rotated videos.
著者
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LEE Heung-Kyu
Department of Biomedical Engineering, College of Medicine, The Catholic University of Korea
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LEE Hae-Yeoun
Department of Radiology, Weill Medical College, Cornell University
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JUNG Dae-Jin
Department of Computer Science, Korea Advanced Institute of Science and Technology
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HYUN Dai-Kyung
Department of Computer Science, Korea Advanced Institute of Science and Technology
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LEE Hae-Yeoun
Department of Computer and Software Engineering, Kumoh National Institute of Technology
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