Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/3858
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dc.contributor.authorAltınışık, Enes-
dc.contributor.authorTasdemir, Kasım-
dc.contributor.authorSencar, Hüsrev Taha-
dc.date.accessioned2020-10-22T16:40:35Z-
dc.date.available2020-10-22T16:40:35Z-
dc.date.issued2020
dc.identifier.citationAltinisik, E., Tasdemir, K. and Sencar, H. T. (2019). Mitigation of h. 264 and h. 265 video compression for reliable prnu estimation. IEEE Transactions on information forensics and security, 15, 1557-1571.en_US
dc.identifier.issn1556-6013
dc.identifier.urihttps://hdl.handle.net/20.500.11851/3858-
dc.identifier.urihttps://ieeexplore.ieee.org/document/8854840-
dc.description.abstractThe photo-response non-uniformity (PRNU) is a distinctive image sensor characteristic, and an imaging device inadvertently introduces its sensor's PRNU into all media it captures. Therefore, the PRNU can be regarded as a camera fingerprint and used for source attribution. The imaging pipeline in a camera, however, involves various processing steps that are detrimental to PRNU estimation. In the context of photographic images, these challenges are successfully addressed and the method for estimating a sensor's PRNU pattern is well established. However, various additional challenges related to generation of videos remain largely untackled. With this perspective, this work introduces methods to mitigate disruptive effects of widely deployed H.264 and H.265 video compression standards on PRNU estimation. Our approach involves an intervention in the decoding process to eliminate a filtering procedure applied at the decoder to reduce blockiness. It also utilizes decoding parameters to develop a weighting scheme and adjust the contribution of video frames at the macroblock level to PRNU estimation process. Results obtained on videos captured by 28 cameras show that our approach increases the PRNU matching metric up to more than five times over the conventional estimation method tailored for photos. Tests on a public dataset also verify that the proposed method improves the attribution performance by increasing the accuracy and allowing the use of smaller length videos to perform attribution. © 2005-2012 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE Transactions on Information Forensics and Securityen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEstimationen_US
dc.subjectcamerasen_US
dc.subjectvideo compressionen_US
dc.subjectreliabilityen_US
dc.subjectpipelinesen_US
dc.subjectstandardsen_US
dc.subjectphoto-response non-uniformity (PRNU)en_US
dc.subjectvideo source attributionen_US
dc.subjectH.264/H.265 encoding & decodingen_US
dc.titleMitigation of H.264 and H.265 Video Compression for Reliable Prnu Estimationen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.volume15
dc.identifier.startpage1557
dc.identifier.endpage1571
dc.relation.tubitakinfo:eu-repo/grantAgreement/TÜBİTAK/EEEAG/116E273en_US
dc.authorid0000-0001-6910-6194-
dc.identifier.wosWOS:000509497700001en_US
dc.identifier.scopus2-s2.0-85072965377en_US
dc.institutionauthorSencar, Hüsrev Taha-
dc.identifier.doi10.1109/TIFS.2019.2945190-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.3. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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