Passive video forgery detection techniques: a survey
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...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
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IEEE (IEEE Xplore)
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/38892/ |
| _version_ | 1848848997379211264 |
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| author | Abdul Wahab, Ainuddin Wahid Aminu Bagiwa, Mustapha Idna Idris, Mohd Yamani Khan, Suleman Razak, Zaidi Kamel Ariffin, Muhammad Rezal |
| author_facet | Abdul Wahab, Ainuddin Wahid Aminu Bagiwa, Mustapha Idna Idris, Mohd Yamani Khan, Suleman Razak, Zaidi Kamel Ariffin, Muhammad Rezal |
| author_sort | Abdul Wahab, Ainuddin Wahid |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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 |
| first_indexed | 2025-11-15T09:43:23Z |
| format | Conference or Workshop Item |
| id | upm-38892 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T09:43:23Z |
| publishDate | 2014 |
| publisher | IEEE (IEEE Xplore) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-388922015-06-19T04:16:19Z http://psasir.upm.edu.my/id/eprint/38892/ Passive video forgery detection techniques: a survey Abdul Wahab, Ainuddin Wahid Aminu Bagiwa, Mustapha Idna Idris, Mohd Yamani Khan, Suleman Razak, Zaidi Kamel Ariffin, Muhammad Rezal 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 IEEE (IEEE Xplore) 2014 Conference or Workshop Item NonPeerReviewed 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). 10.1109/ISIAS.2014.7064616 |
| spellingShingle | Abdul Wahab, Ainuddin Wahid Aminu Bagiwa, Mustapha Idna Idris, Mohd Yamani Khan, Suleman Razak, Zaidi Kamel Ariffin, Muhammad Rezal Passive video forgery detection techniques: a survey |
| title | Passive video forgery detection techniques: a survey |
| title_full | Passive video forgery detection techniques: a survey |
| title_fullStr | Passive video forgery detection techniques: a survey |
| title_full_unstemmed | Passive video forgery detection techniques: a survey |
| title_short | Passive video forgery detection techniques: a survey |
| title_sort | passive video forgery detection techniques: a survey |
| url | http://psasir.upm.edu.my/id/eprint/38892/ http://psasir.upm.edu.my/id/eprint/38892/ |