Inter‐frame forgery detection based on differential energy of residue-Reference-Cited by-同舟云学术

Inter‐frame forgery detection based on differential energy of residue

Published:2019-01-31 Issue:3 Volume:13 Page:522-528
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Fadl Sondos M.¹²,Han Qi¹,Li Qiong¹

Affiliation:

1. School of Computer Science and Technology, Harbin Institute of TechnologyHarbin150080People's Republic of China

2. Department of Information Technology, Faculty of Computers and InformationMenoufia UniversityShebin El‐koom32511Egypt

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.5068

Reference28 articles.

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4. 2014 10th Int. Conf. Information Assurance and Security Okinawa Japan A.W.A. Wahab M.A. Bagiwa M.Y.I. Idris Passive video forgery detection techniques: a survey 29 34

5. Review of techniques for detecting video forgeries;Pathak A.;Int. J. Comput. Sci. Mobile Comput.,2014

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