A Phasebased Approach For Enf Signal Extraction From Rolling Shutter Videos

• doi: 10.1109/LSP.2022.3189306
• title: A Phase-Based Approach for ENF Signal Extraction From Rolling Shutter Videos
• publisher: IEEE
• isbn:
• issn: 1558-2361
• rank: 880
• access_type: LOCKED
• content_type: Journals
• abstract: Electric Network Frequency (ENF) analysis has been an intriguing tool for multimedia forensics as former studies have paved the way for estimating ENF signals from digital audio, video, or even image files. However, for ENF signals to be widely used in extensive applications, supplementary research is needed so that ENF signals can be stably extracted without restrictions. In this letter, we propose a new phase-based approach for extracting ENF signals from CMOS sensor recordings. It uses phase differences between row signals from two consecutive frames, such that problems due to missing sample points during the idle periods are circumvented. The proposed method has substantial advantages in that it is applicable without a predefined read-out time and when the length of given videos is too short. Extensive experiments conducted with numerous devices demonstrate that the proposed method can take precedence over state-of-the-art methods because it robustly produces accurate ENF estimates in terms of alias frequency on the frame-level.
• article_number: 9822384
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9822384
• html_url: https://ieeexplore.ieee.org/document/9822384/
• abstract_url: https://ieeexplore.ieee.org/document/9822384/
• publication_title: IEEE Signal Processing Letters
• conference_location:
• conference_dates:
• publication_number: 97
• is_number: 9686799
• publication_year: 2022
• publication_date: 2022
• start_page: 1724
• end_page: 1728
• citing_paper_count: 8
• citing_patent_count: 0
• download_count: 434
• insert_date: 20220708
• index_terms:
  • ieee_terms:
    • Videos
    • Frequency estimation
    • Sensors
    • Forensics
    • Estimation
    • Lighting
    • Cameras
  • author_terms:
    • Electric network frequency (ENF)
    • multimedia forensics
    • signal processing
    • video forensics
  • dynamic_index_terms:
    • Rolling Shutter
    • Phase Difference
    • Consecutive Frames
    • Digital Audio
    • Digital Sound
    • Readout Time
    • Idle Period
    • Idle Periods
    • Maximum And Minimum
    • Stationary Point
    • Extreme Values
    • Extremal
    • Time Window
    • Sampling Rate
    • Phase Change
    • Phase Transformation
    • Phase-change
    • Window Size
    • Frame Rate
    • Discrete Fourier Transform
    • Temporal Sampling
    • Changes In Expectations
    • Camera Frame
    • Camera Frame Rate
    • Sinusoidal Waveform
    • Non-sinusoidal
    • Idle Time
    • Average Pixel Value
    • High-quality Signals
    • High Signal Quality
• authors:
  • Author Name: Hyekyung Han
    Affiliation: School of Cybersecurity, Korea University, Seoul, Korea
    Author URL: https://ieeexplore.ieee.org/author/37088938202
    ID: 37088938202
    Order: 1
    Author Affiliations:
    • School of Cybersecurity, Korea University, Seoul, Korea
  • Author Name: Youngbae Jeon
    Affiliation: School of Cybersecurity, Korea University, Seoul, Korea
    Author URL: https://ieeexplore.ieee.org/author/37088853425
    ID: 37088853425
    Order: 2
    Author Affiliations:
    • School of Cybersecurity, Korea University, Seoul, Korea
  • Author Name: Baek-kyung Song
    Affiliation: School of Cybersecurity, Korea University, Seoul, Korea
    Author URL: https://ieeexplore.ieee.org/author/37089488497
    ID: 37089488497
    Order: 3
    Author Affiliations:
    • School of Cybersecurity, Korea University, Seoul, Korea
  • Author Name: Ji Won Yoon
    Affiliation: School of Cybersecurity, Korea University, Seoul, Korea
    Author URL: https://ieeexplore.ieee.org/author/37085444120
    ID: 37085444120
    Order: 4
    Author Affiliations:
    • School of Cybersecurity, Korea University, Seoul, Korea

Image Sensor

• sensor_type: CMOS
• resolution: Not specified
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

Applications & Benefits

• cell_imaging: CMOS image sensors are used in various applications including smartphones, medical devices, and automotive systems.
• benefits: Enable digital imaging, improving the capability and quality of imaging in various fields.

Supporting Organizations

• supported_by: Not specified

Manuscript Details

• publication_date: 2022

Relevancy Score

• score: 10
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

request_250d5515-03fc-4b2c-99b7-957fecd23aa5-a_phasebased_approach_for_enf_signal_extraction_from_rolling_shutter_videos.json