Semi-automatic Methods in Video Forgery Detection Based on Multi-view Dimension

  • Omar Ismael Al-SanjaryEmail author
  • Nurulhuda Ghazali
  • Ahmed Abdullah Ahmed
  • Ghazali Sulong
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 5)


The availability of powerful editing software sophisticated digital cameras, and region duplication is becoming more and more popular in video manipulation where parts of video frames is pasted to another location to conceal undesirable objects. Most existing techniques to detect such tampering are mainly at the cost of higher computational complexity. Multi-view video contains locating a moving object (or multiple objects) over time and several frames representing different views of the same scene of the true width and height of an object in the front view are placed in the sequences of frames plane. In this paper, a new technique for video forgery detection using semi-automatic methods can be used for the three types of video forgery detection: (1) Copy-Move, (2) Splicing, and (3) Swapping-Frames based on a new dimension of multi-view frames. Thus, this idea is proposing new video views based on slices of video frames in Top-View and Side-View in doctored video. Experiment results show that our proposed schemes for new video views enable easy detection of visual inspection is used for the evaluation.


Video forgery detection Copy-move Splicing Swapping frames Top-view Side-view 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Omar Ismael Al-Sanjary
    • 1
    Email author
  • Nurulhuda Ghazali
    • 2
  • Ahmed Abdullah Ahmed
    • 3
  • Ghazali Sulong
    • 4
    • 5
  1. 1.Center of Scientific Research and DevelopmentNawroz University - Kurdistan RegionDuhokIraq
  2. 2.Fakulti Sains Komputer dan MatematikUniversiti Teknologi MARAMelakaMalaysia
  3. 3.Department of Computer ScienceKurdistan Technical InstituteSulaymaniyah/Kurdistan RegionIraq
  4. 4.Faculty of ComputingUniversiti Teknologi MalaysiaSkudaiMalaysia
  5. 5.School of Informatics and Applied MathematicsUniversiti Malaysia TerengganuKuala NerusMalaysia

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