Extracting PRNU Noise From H.264 Coded Videos
| dc.contributor.author | Altinişik, Enes | |
| dc.contributor.author | Taşdemir, Kasím | |
| dc.contributor.author | Sencar, Hüsrev Taha | |
| dc.date.accessioned | 2025-09-25T10:47:15Z | |
| dc.date.available | 2025-09-25T10:47:15Z | |
| dc.date.issued | 2018 | |
| dc.description | Tasdemir, Kasim/0000-0003-4542-2728 | en_US |
| dc.description.abstract | Every 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. | en_US |
| dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK) [116E273] | en_US |
| dc.description.sponsorship | This work is supported by the Scientific and Technological Research Council of Turkey (TUBITAK) grant 116E273. | en_US |
| dc.identifier.doi | 10.23919/EUSIPCO.2018.8553173 | |
| dc.identifier.isbn | 9789082797060 | |
| dc.identifier.isbn | 9789082797039 | |
| dc.identifier.isbn | 9789082797091 | |
| dc.identifier.isbn | 9781467310680 | |
| dc.identifier.isbn | 9783200001657 | |
| dc.identifier.isbn | 9789464593600 | |
| dc.identifier.isbn | 9788392134022 | |
| dc.identifier.isbn | 9780992862602 | |
| dc.identifier.isbn | 9789082797015 | |
| dc.identifier.isbn | 9780992862657 | |
| dc.identifier.issn | 2219-5491 | |
| dc.identifier.scopus | 2-s2.0-85059816901 | |
| dc.identifier.uri | https://doi.org/10.23919/EUSIPCO.2018.8553173 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12573/3847 | |
| dc.language.iso | en | en_US |
| dc.publisher | European Signal Processing Conference, EUSIPCO | en_US |
| dc.relation.ispartof | European Signal Processing Conference -- 26th European Signal Processing Conference, EUSIPCO 2018 -- Rome -- 143333 | en_US |
| dc.relation.ispartofseries | European Signal Processing Conference | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Photography | en_US |
| dc.subject | Filtering Procedures | en_US |
| dc.subject | H.264 Coding Standards | en_US |
| dc.subject | Imaging Sensors | en_US |
| dc.subject | Matching Performance | en_US |
| dc.subject | Noise Patterns | en_US |
| dc.subject | Photo Response Non Uniformities (PRNU) | en_US |
| dc.subject | Photographic Image | en_US |
| dc.subject | Systematic Noise | en_US |
| dc.subject | Signal Processing | en_US |
| dc.title | Extracting PRNU Noise From H.264 Coded Videos | en_US |
| dc.type | Conference Object | en_US |
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| gdc.author.id | Tasdemir, Kasim/0000-0003-4542-2728 | |
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| gdc.author.wosid | Tasdemir, Kasim/Aga-4286-2022 | |
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| gdc.description.department | Abdullah Gül University | en_US |
| gdc.description.departmenttemp | [Altinişik] Enes, TOBB University of Economics and Technology, Ankara, Turkey; [Taşdemir] Kasím, Abdullah Gül Üniversitesi, Kayseri, Turkey; [Sencar] Hüsrev Taha, TOBB University of Economics and Technology, Ankara, Turkey | en_US |
| gdc.description.endpage | 1371 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
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| gdc.description.startpage | 1367 | en_US |
| gdc.description.volume | 2018-September | en_US |
| gdc.description.woscitationindex | Conference Proceedings Citation Index - Science | |
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| gdc.oaire.keywords | Image processing | |
| gdc.oaire.keywords | Algorithms | |
| gdc.oaire.keywords | Camera identification | |
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