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Passive video forgery detection techniques: a survey


Citation

Abdul Wahab, Ainuddin Wahid and Aminu Bagiwa, Mustapha and Idna Idris, Mohd Yamani and Khan, Suleman and Razak, Zaidi and Kamel Ariffin, Muhammad Rezal (2014) Passive video forgery detection techniques: a survey. In: 10th International Conference on Information Assurance and Security 2014, 28-30 Nov. 2014, Okinawa, Japan. (pp. 29-34).

Abstract / Synopsis

Technological advancement of various video and image processing tools has made tempering of digital video easy and faster. This review paper focuses on passive techniques that are employed for detecting forgeries in a digital video. Passive forgery detection techniques are methods used for detecting the authenticity of a video without depending on pre-embedded information. The techniques exploit the use of statistical or mathematical properties that are distorted as a result of video tempering for forgery detection. Passive video forgery detection approach has a great prospect in multimedia security, information security and pattern recognition. In this paper, we divide passive techniques for video forensics into three categories; Statistical correlation of video features, frame-based for detecting statistical anomalies, and the inconsistency features of different digital equipment. The discussion also covers the trends, limitations and idea for improvements of passive forgery detection techniques


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Science
Institute for Mathematical Research
DOI Number: 10.1109/ISIAS.2014.7064616
Publisher: IEEE (IEEE Xplore)
Keywords: Digital investigation; Video forensics; Video forgery; Forgery detection; Passive techniques
Depositing User: Nursyafinaz Mohd Noh
Date Deposited: 19 Jun 2015 12:16
Last Modified: 19 Jun 2015 12:16
Altmetrics: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7064616
URI: http://psasir.upm.edu.my/id/eprint/38892
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