Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/30209
Title: Detecting the presence of ENF signal in digital videos: A superpixel-based approach
Authors: Memon, Nasir
Uludağ Üniversitesi/Mühendislik Fakültesi/Bilgisayar Mühendisliği Bölümü.
0000-0002-6200-1717
Vatansever, Saffet
Dirik, Ahmet Emir
K-6977-2012
57190736821
23033658100
Keywords: Engineering
Electrical network frequency (ENF)
ENF detection
Multimedia forensics
Superpixel
Video forensics
Electric-network frequency
Audio
Forensics
Criterion
Cameras
Electric network analysis
Electric network parameters
Estimation
Frequency estimation
Light sources
Lighting
Multimedia systems
Pixels
Signal detection
Video recording
Circuit theory
Forensics
Multimedia forensics
Network frequency
Super pixels
Time frequency analysis
Video forensics
Videos
Computer graphics
Luminance
Issue Date: Oct-2017
Publisher: IEEE
Citation: Vatansever, S. vd. (2017). ''Detecting the presence of ENF signal in digital videos: A superpixel-based approach''. IEEE Signal Processing Letters, 24(10), 1463-1467.
Abstract: Electrical network frequency (ENF) instantaneously fluctuates around its nominal value (50/60 Hz) due to a continuous disparity between generated power and consumed power. Consequently, luminous intensity of a mains-powered light source varies depending on ENF fluctuations in the grid network. Variations in the luminance over time can be captured from video recordings and ENF can be estimated through content analysis of these recordings. In ENF-based video forensics, it is critical to check whether a given video file is appropriate for this type of analysis. That is, if ENF signal is not present in a given video, it would be useless to apply ENF-based forensic analysis. In this letter, an ENF signal presence detection method is introduced for videos. The proposed method is based on multiple ENF signal estimations from steady super pixels, i.e., pixels that are most likely uniform in color, brightness, and texture, and intra-class similarity of the estimated signals. Subsequently, consistency among these estimates is then used to determine the presence or absence of an ENF signal in a given video. The proposed technique can operate on video clips as short as 2 min and is independent of the camera sensor type, i.e., CCD or CMOS.
URI: https://doi.org/10.1109/LSP.2017.2741440
https://ieeexplore.ieee.org/document/8012515
1558-2361
http://hdl.handle.net/11452/30209
ISSN: 1070-9908
Appears in Collections:Scopus
Web of Science

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