Factors affecting enf based time-of-recording estimation for video
dc.contributor.author | Memon, Nasir | |
dc.contributor.buuauthor | Vatansever, Saffet | |
dc.contributor.buuauthor | Dirik, Ahmet Emir | |
dc.contributor.department | Uludağ Üniversitesi/Elektrik Elektronik Mühendisliği Bölümü. | tr_TR |
dc.contributor.department | Uludağ Üniversitesi/Bilgisayar Mühendisliği Bölümü. | tr_TR |
dc.contributor.orcid | 0000-0002-6200-1717 | |
dc.contributor.researcherid | EDW-8535-2022 | |
dc.contributor.researcherid | KDY-5674-2024 | |
dc.contributor.scopusid | 57190736821 | |
dc.contributor.scopusid | 23033658100 | |
dc.date.accessioned | 2024-03-21T06:47:30Z | |
dc.date.available | 2024-03-21T06:47:30Z | |
dc.date.issued | 2019 | |
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 | United States Department of Defense Defense Advanced Research Projects Agency (DARPA) | en_US |
dc.description.sponsorship | United States Department of Defense US Air Force Research Laboratory | en_US |
dc.identifier.citation | Vatansever S. vd. (2019). "Factors affecting enf based time-of-recording estimation for video". ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2497-2501. | en_US |
dc.identifier.doi | https://doi.org/10.1109/ICASSP.2019.8682419 | |
dc.identifier.endpage | 2501 | tr_TR |
dc.identifier.issn | 1520-6149 | |
dc.identifier.scopus | 2-s2.0-85068969559 | |
dc.identifier.startpage | 2497 | tr_TR |
dc.identifier.uri | https://ieeexplore.ieee.org/document/8682419 | |
dc.identifier.uri | https://hdl.handle.net/11452/40539 | |
dc.identifier.wos | 000482554002145 | |
dc.indexed.scopus | Scopus | en_US |
dc.indexed.wos | CPCIS | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.collaboration | Yurt içi | tr_TR |
dc.relation.collaboration | Yurt dışı | tr_TR |
dc.relation.journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası | tr_TR |
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.subject | Signal | en_US |
dc.subject | Audıo | en_US |
dc.subject.scopus | Circuit Theory; Audio Recordings; Forensic Science | en_US |
dc.subject.wos | Acoustics | en_US |
dc.subject.wos | Engineering, electrical & electronic | en_US |
dc.title | Factors affecting enf based time-of-recording estimation for video | en_US |
dc.type | Proceedings Paper | en_US |
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