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PRNU-Based Video Source Attribution: Which Frames Are You Using?

Pasquale Ferrara1, Massimo Iuliani2,3, Alessandro Piva2,3,4

  • 1European Commission-DG Joint Research Centre, 21027 Ispra, Italy.

Journal of Imaging
|March 24, 2022
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Summary
This summary is machine-generated.

This study investigates optimal frame selection for digital video source attribution using Photo Response Non-Uniformity (PRNU). It analyzes the combined impact of compression and electronic image stabilization on PRNU effectiveness.

Keywords:
digital stabilizationsensor noisevideo forensicsvideo source attribution

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Area of Science:

  • Digital Forensics
  • Image Processing
  • Computer Vision

Background:

  • Photo Response Non-Uniformity (PRNU) is a key digital video source attribution method.
  • Compression and electronic image stabilization (EIS) degrade PRNU effectiveness.
  • Previous studies addressed compression and EIS separately, ignoring their combined impact.

Purpose of the Study:

  • To investigate an optimal strategy for frame selection in video source attribution.
  • To analyze the combined effect of compression and EIS on PRNU.
  • To determine if existing frame selection methods are optimal for stabilized videos.

Main Methods:

  • Systematic analysis of PRNU contribution from all frames in stabilized and non-stabilized videos.
  • Evaluation of frame types and positions within groups of pictures.
  • Utilized the VISION dataset for experimental validation.

Main Results:

  • Identified insights into optimizing video source attribution.
  • Demonstrated the differential impact of compression and EIS on PRNU.
  • Provided evidence that separate analyses of compression and EIS are insufficient.

Conclusions:

  • An optimal strategy for frame selection in video source attribution considering both compression and EIS may exist.
  • The combined effect of compression and EIS necessitates a re-evaluation of existing attribution methods.
  • Findings offer guidance for optimizing video source attribution in various practical scenarios.