Altinişik, EnesTaşdemir, KasímSencar, Hüsrev Taha2025-09-252025-09-25201897890827970609789082797039978908279709197814673106809783200001657978946459360097883921340229780992862602978908279701597809928626572219-5491https://doi.org/10.23919/EUSIPCO.2018.8553173https://hdl.handle.net/20.500.12573/3847Tasdemir, Kasim/0000-0003-4542-2728Every device equipped with a digital camera has a unique identity. This phenomenon is essentially due to a systematic noise component of an imaging sensor, known as photo-response non-uniformity (PRNU) noise. An imaging sensor inadvertently introduces this noise pattern to all media captured by that imaging sensor. The procedure for extracting PRNU noise has been well studied in the context of photographic images, however, its extension to video has so far been neglected. In this work, considering H.264 coding standard, we describe a procedure to extract sensor fingerprint from non-stabilized videos. The crux of our method is to remove a filtering procedure applied at the decoder to reduce blockiness and to use macroblocks selectively when estimating PRNU noise pattern. Results show that our method has a potential to improve matching performance significantly. © 2019 Elsevier B.V., All rights reserved.eninfo:eu-repo/semantics/closedAccessPhotographyFiltering ProceduresH.264 Coding StandardsImaging SensorsMatching PerformanceNoise PatternsPhoto Response Non Uniformities (PRNU)Photographic ImageSystematic NoiseSignal ProcessingConference Object10.23919/EUSIPCO.2018.85531732-s2.0-85059816901