Abstract

The availability of easy to use video editing software has made it easy for cyber criminals to combine different videos from different sources using blue screen composition technology. This, makes the authenticity of such digital videos questionable and needs to be verified especially in the court of law. Blue Screen Composition is one of the ways to carry out video forgery using simple to use and affordable video editing software. Detecting this type of video forgery aims at revealing and observing the facts about a video so as to conclude whether the contents of the video have undergone any unethical manipulation. In this work, we propose an enhanced 3-stage foreground algorithm to detect Blue Screen manipulation in digital video. The proposed enhanced detection technique contains three (3) phases, extraction, detection and tracking. In the extraction phase, a Gaussian Mixture Model (GMM) is used to extract foreground element from a target video. Entropy function as a descriptive feature of image is extracted and calculated from the target video in the detection phase. The tracking phase seeks to use Minimum Output Sum of Squared Error (MOSSE) object tracking algorithm to fast track forged blocks of small sizes in a digital video. The result of the experiments demonstrates that the proposed detection technique can adequately detect Blue Screen video forgery when the forged region is small with a true positive detection rate of 98.02% and a false positive detection rate of 1.99%. The result of this our research can be used to

Highlights

  • The use of digital devices such as smart phones and tablets which are embedded with cameras has made it easier for digital criminals to capture, edit and distribute fake videos without leaving visible clues is accomplished, thereby causing confusion in the society

  • Digital forensic was initially used as a synonym for computer forensics and is considered as a branch of forensic science which encompasses the recovery or regaining and investigating of fact or evidence found in digital devices often related to computer crimes. (Babenko, 2009) (Mark, 2002) (Carrier, 2003)

  • Blue screen composition is one of the most common process of digital video forgery. The detection of this type of forgery is becoming more important to digital forensic investigators due to advance in digitalization today in our society

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Summary

INTRODUCTION

The use of digital devices such as smart phones and tablets which are embedded with cameras has made it easier for digital criminals to capture, edit and distribute fake videos without leaving visible clues is accomplished, thereby causing confusion in the society. Digital video forgery can be divided into two parts inter frame forgery and intra frame forgery Detecting these forgeries aims at exposing and scrutinizing the concealed facts about a video. Digital video forgeries are very dangerous because often, it is very difficult to recognize a fake video unless one is trained to identify such forgeries, it is very difficult to differentiate between an original and a tampered video. In such cases, the FUDMA Journal of Sciences (FJS) Vol 5 No., June, 2021, pp 133 - 144. Et al, victims of these acts may suffer from financial loss and loss of Forgery attacks on digital videos are categorized into two (2), reputation as a consequence of digital video forgery

Splicing forgery
To perform tracking using Minimum Output Sum of Squared
Aero plane
Number of Frames
Comparative Analysis for Running Time
CONCLUSION
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