Exploiting Rolling Shutter For Enf Signal Extraction From Video

• doi: 10.1109/ICIP.2014.7026086
• title: Exploiting rolling shutter for ENF signal extraction from video
• publisher: IEEE
• isbn: 978-1-4799-5751-4
• issn: 2381-8549
• rank: 2433
• access_type: LOCKED
• content_type: Conferences
• abstract: The electric network frequency (ENF) signal can be embedded in multimedia recordings created in areas of electrical activities. Recent work has used the ENF signal for such applications as time stamp authentication and forgery detection. It is more challenging to extract ENF signals from video recordings than from audio recordings because of the low temporal sampling rate or frame rate of video cameras. The rolling shutter of CMOS image sensor can be exploited as it exposes a frame line by line, and the effective ENF sampling rate by treating each line as a signal sample can be increased. This scheme was shown to work well with static videos. This paper conducts a further study on the exploitation of the rolling shutter for extracting ENF traces from videos. The rolling shutter mechanism is modeled and analyzed using multirate signal processing theory. Challenging cases of videos with motions are examined, and solutions to extracting ENF from them are explored.
• article_number: 7026086
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7026086
• html_url: https://ieeexplore.ieee.org/document/7026086/
• abstract_url: https://ieeexplore.ieee.org/document/7026086/
• publication_title: 2014 IEEE International Conference on Image Processing (ICIP)
• conference_location: Paris, France
• conference_dates: 27-30 Oct. 2014
• publication_number: 6992914
• is_number: 7024995
• publication_year: 2014
• publication_date: 27-30 Oct. 2014
• start_page: 5367
• end_page: 5371
• citing_paper_count: 34
• citing_patent_count: 1
• download_count: 686
• insert_date: 20150129
• index_terms:
  • ieee_terms:
    • Video recording
    • Cameras
    • Forensics
    • Lighting
    • Spectrogram
    • Power measurement
  • author_terms:
    • ENF
    • rolling shutter
    • video
    • filter bank
  • dynamic_index_terms:
    • Rolling Shutter
    • Sampling Rate
    • Audio Recordings
    • Sound Recordings
    • Video Recordings
    • Frame Rate
    • Power Grid
    • Image Sensor
    • Camera Sensor
    • Lower Frame
    • Low Frame Rate
    • Input Signal
    • Output Signal
    • Single Time Point
    • Nominal Value
    • Video Frames
    • Optical Flow
    • Spatial Shift
    • Motion Compensation
    • Average Frame
    • Average Frame Rate
    • Video Signal
    • Aliasing Effect
    • Idle Period
• isbn_formats:
  • format: Electronic ISBN, value: 978-1-4799-5751-4, isbnType: New-2005
• authors:
  • Author Name: Hui Su
    Affiliation: University of Maryland, College Park
    Author URL: https://ieeexplore.ieee.org/author/38240629200
    ID: 38240629200
    Order: 1
    Author Affiliations:
    • University of Maryland, College Park
  • Author Name: Adi Hajj-Ahmad
    Affiliation: University of Maryland, College Park
    Author URL: https://ieeexplore.ieee.org/author/37071414900
    ID: 37071414900
    Order: 2
    Author Affiliations:
    • University of Maryland, College Park
  • Author Name: Ravi Garg
    Affiliation: University of Maryland, College Park
    Author URL: https://ieeexplore.ieee.org/author/37975383500
    ID: 37975383500
    Order: 3
    Author Affiliations:
    • University of Maryland, College Park
  • Author Name: Min Wu
    Affiliation: University of Maryland, College Park
    Author URL: https://ieeexplore.ieee.org/author/37277237100
    ID: 37277237100
    Order: 4
    Author Affiliations:
    • University of Maryland, College Park

Image Sensor

• sensor_type: CMOS
• resolution: 1920x1080
• 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

• frame_rate: Approximately 29.97 fps

Applications & Benefits

• cell_imaging: Not specified
• benefits: Enabled ENF signal extraction for forensic applications and timestamp authentication.

Supporting Organizations

• supported_by: University of Maryland, College Park

Manuscript Details

• publication_date: 27-30 Oct. 2014

Relevancy Score

• score: 9
• missing_fields:
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

request_e226bb02-f46d-4374-a270-23c434f3bee6-exploiting_rolling_shutter_for_enf_signal_extraction_from_video.json