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A Comprehensive Survey on Passive Video Forgery Detection Techniques

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Recent Studies on Computational Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 921))

Abstract

In the ongoing year, video falsification identification is a significant issue in video criminology. Unapproved changes in video outline causing debasement of genuineness and uprightness of inventiveness. With the progression in innovation, video preparing apparatuses and procedures are accessible for modifying the recordings for falsification. The adjustment or changes in current video is imperative to identify, since this video can be utilized in the validation procedure. Video authentication thus required to be checked. There are various ways by which video can be tempered, for example, frame insertion, deletion, duplication, copy and move, splicing and so on. This article presents forgery detection techniques like inter-frame forgery, intra-frame forgery & compression-based forgery detection that can be used for video tampering detection. Thorough analysis of newly developed techniques, passive video forgery detection is helpful for finding the problems and getting out new opportunities in the area of passive video forgery detection.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Centre for Advanced Studies, Dr. A.P.J Abdul Kalam Technical University, Lucknow, India

    Vinay Kumar & Manish Gaur

  2. Department of Computer Science and Engineering, Institute of Engineering and Technology Lucknow, Dr. A.P.J Abdul Kalam Technical University, Lucknow, India

    Abhishek Singh & Vineet Kansal

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  1. Vinay Kumar
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  2. Abhishek Singh
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  3. Vineet Kansal
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  4. Manish Gaur
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Correspondence to Abhishek Singh .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India

    Ashish Khanna

  2. Department of Computer Engineering, NIT Kurukshetra, Kurukshetra, India

    Awadhesh Kumar Singh

  3. Department of Computer Science Engineering, Bhagwan Parushram Institute of Technology, New Delhi, India

    Abhishek Swaroop

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Kumar, V., Singh, A., Kansal, V., Gaur, M. (2021). A Comprehensive Survey on Passive Video Forgery Detection Techniques. In: Khanna, A., Singh, A.K., Swaroop, A. (eds) Recent Studies on Computational Intelligence. Studies in Computational Intelligence, vol 921. Springer, Singapore. https://doi.org/10.1007/978-981-15-8469-5_4

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