FACTORS AFFECTING ENF BASED TIME-OF-RECORDING ESTIMATION FOR VIDEO

dc.authorid0000-0002-4680-1263en_US
dc.contributor.authorVatansever, Saffet
dc.contributor.authorDirik, Ahmet Emir
dc.contributor.authorMemon, Nasir
dc.date.accessioned2021-03-20T20:12:50Z
dc.date.available2021-03-20T20:12:50Z
dc.date.issued2019
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Mekatronik Mühendisliği Bölümüen_US
dc.description44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) -- MAY 12-17, 2019 -- Brighton, ENGLANDen_US
dc.description.abstractENF (Electric Network Frequency) oscillates around a nominal value (50/60 Hz) due to imbalance between consumed and generated power. The intensity of a light source powered by mains electricity varies depending on the ENF fluctuations. These fluctuations can be extracted from videos recorded in the presence of mains-powered source illumination. This work investigates how the quality of the ENF signal estimated from video is affected by different light source illumination, compression ratios, and by social media encoding. Also explored is the effect of the length of the ENF ground-truth database on time of recording detection and verification.en_US
dc.description.sponsorshipInst Elect & Elect Engineers, Inst Elect & Elect Engineers Signal Proc Socen_US
dc.description.sponsorshipDARPAUnited States Department of DefenseDefense Advanced Research Projects Agency (DARPA); Air Force Research Laboratory (AFRL)United States Department of DefenseUS Air Force Research Laboratory [FA8750-16-2-0173]en_US
dc.description.sponsorshipThis material is based on research sponsored by DARPA and the Air Force Research Laboratory (AFRL) under agreement number FA8750-16-2-0173. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of DARPA and the Air Force Research Laboratory (AFRL) or the U.S. Government.en_US
dc.identifier.endpage2501en_US
dc.identifier.isbn978-1-4799-8131-1
dc.identifier.issn1520-6149
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage2497en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/713
dc.identifier.wosWOS:000482554002145en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorVatansever, Saffet
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp)en_US
dc.relation.ispartofseriesInternational Conference on Acoustics Speech and Signal Processing ICASSP
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectENFen_US
dc.subjectelectric network frequencyen_US
dc.subjectvideo forensicsen_US
dc.subjecttime-of-recordingen_US
dc.titleFACTORS AFFECTING ENF BASED TIME-OF-RECORDING ESTIMATION FOR VIDEOen_US
dc.typeConference Objecten_US

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