Digital Video Tampering Detection and Localization: Review, Representations, Challenges and Algorithm

Naheed Akhtar, Mubbashar Saddique, Khurshid Asghar, Usama Ijaz Bajwa, Muhammad Hussain and Zulfiqar Habib
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Naheed Akhtar: Department of Computer Science, COMSATS University Islamabad, Lahore 54000, Pakistan
Mubbashar Saddique: Department of Computer Science and Engineering, Narowal Campus, University of Engineering & Technology Lahore, Narowal 51600, Pakistan
Khurshid Asghar: Department of Computer Science, University of Okara, Okara 56300, Pakistan
Usama Ijaz Bajwa: Department of Computer Science, COMSATS University Islamabad, Lahore 54000, Pakistan
Muhammad Hussain: Department of Computer Science, King Saud University, Riyadh 11564, Saudi Arabia
Zulfiqar Habib: Department of Computer Science, COMSATS University Islamabad, Lahore 54000, Pakistan

Mathematics, 2022, vol. 10, issue 2, 1-38

Abstract: Digital videos are now low-cost, easy to capture and easy to share on social media due to the common feature of video recording in smart phones and digital devices. However, with the advancement of video editing tools, videos can be tampered (forged) easily for propaganda or to gain illegal advantages—ultimately, the authenticity of videos shared on social media cannot be taken for granted. Over the years, significant research has been devoted to developing new techniques for detecting different types of video tampering. In this paper, we offer a detailed review of existing passive video tampering detection techniques in a systematic way. The answers to research questions prepared for this study are also elaborated. The state-of-the-art research work is analyzed extensively, highlighting the pros and cons and commonly used datasets. Limitations of existing video forensic algorithms are discussed, and we conclude with research challenges and future directions.

Keywords: video tampering detection; passive video forgery; spatial video forensic; temporal video forensic; video tampering; localization (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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