FACTORS AFFECTING ENF BASED TIME-OF-RECORDING ESTIMATION FOR VIDEO
dc.authorid | 0000-0002-4680-1263 | en_US |
dc.contributor.author | Vatansever, Saffet | |
dc.contributor.author | Dirik, Ahmet Emir | |
dc.contributor.author | Memon, Nasir | |
dc.date.accessioned | 2021-03-20T20:12:50Z | |
dc.date.available | 2021-03-20T20:12:50Z | |
dc.date.issued | 2019 | |
dc.department | BTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Mekatronik Mühendisliği Bölümü | en_US |
dc.description | 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) -- MAY 12-17, 2019 -- Brighton, ENGLAND | en_US |
dc.description.abstract | ENF (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.sponsorship | Inst Elect & Elect Engineers, Inst Elect & Elect Engineers Signal Proc Soc | en_US |
dc.description.sponsorship | DARPAUnited 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.sponsorship | This 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.endpage | 2501 | en_US |
dc.identifier.isbn | 978-1-4799-8131-1 | |
dc.identifier.issn | 1520-6149 | |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.startpage | 2497 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12885/713 | |
dc.identifier.wos | WOS:000482554002145 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.institutionauthor | Vatansever, Saffet | |
dc.language.iso | en | en_US |
dc.publisher | Ieee | en_US |
dc.relation.ispartof | 2019 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) | en_US |
dc.relation.ispartofseries | International Conference on Acoustics Speech and Signal Processing ICASSP | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | ENF | en_US |
dc.subject | electric network frequency | en_US |
dc.subject | video forensics | en_US |
dc.subject | time-of-recording | en_US |
dc.title | FACTORS AFFECTING ENF BASED TIME-OF-RECORDING ESTIMATION FOR VIDEO | en_US |
dc.type | Conference Object | en_US |