Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/7481
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Altınışık, Enes | - |
dc.contributor.author | Sencar, Hüsrev Taha | - |
dc.date.accessioned | 2021-09-11T15:57:18Z | - |
dc.date.available | 2021-09-11T15:57:18Z | - |
dc.date.issued | 2021 | en_US |
dc.identifier.issn | 1556-6013 | - |
dc.identifier.issn | 1556-6021 | - |
dc.identifier.uri | https://doi.org/10.1109/TIFS.2020.3016830 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/7481 | - |
dc.description.abstract | Image stabilization performed during imaging and/or post-processing poses one of the most significant challenges to photo-response non-uniformity based source camera attribution from videos. When performed digitally, stabilization involves cropping, warping, and inpainting of video frames to eliminate unwanted camera motion. Hence, successful attribution requires inversion of these transformations in a blind manner. To address this challenge, we introduce a source camera verification method for videos that takes into account spatially variant nature of stabilization transformations and assumes a larger degree of freedom in their search. Our method identifies transformations at a sub-frame level, incorporates a number of constraints to validate their correctness, and offers computational flexibility in the search for the correct transformation. The method also adopts a holistic approach in countering disruptive effects of other video generation steps, such as video coding and downsizing, for more reliable attribution. Tests performed on one public and two custom datasets show that the proposed method is able to verify the source of 23-30% of all videos that underwent stronger stabilization, depending on computation load, without a significant impact on false attribution. | en_US |
dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [116E273] | en_US |
dc.description.sponsorship | This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under Grant 116E273. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Siwei Lyu. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE-Inst Electrical Electronics Engineers Inc | en_US |
dc.relation.ispartof | IEEE Transactions On Information Forensics And Security | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Videos | en_US |
dc.subject | Cameras | en_US |
dc.subject | Media | en_US |
dc.subject | Estimation | en_US |
dc.subject | Reliability | en_US |
dc.subject | Transforms | en_US |
dc.subject | Source camera verification | en_US |
dc.subject | stabilized video | en_US |
dc.subject | photo-response non-uniformity (PRNU) | en_US |
dc.subject | stabilization transformation inversion | en_US |
dc.title | Source Camera Verification for Strongly Stabilized Videos | en_US |
dc.type | Article | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | tr_TR |
dc.identifier.volume | 16 | en_US |
dc.identifier.startpage | 643 | en_US |
dc.identifier.endpage | 657 | en_US |
dc.authorid | 0000-0001-9300-6564 | - |
dc.identifier.wos | WOS:000571722500006 | en_US |
dc.institutionauthor | Sencar, Hüsrev Taha | - |
dc.identifier.doi | 10.1109/TIFS.2020.3016830 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q1 | - |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.3. Department of Computer Engineering | - |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
CORE Recommender
SCOPUSTM
Citations
16
checked on Dec 21, 2024
WEB OF SCIENCETM
Citations
20
checked on Dec 21, 2024
Page view(s)
182
checked on Dec 16, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.