Inter-frame Forgery Detection for Static-Background Video Based on MVP Consistency

2016 ◽  
pp. 94-106 ◽  
Author(s):  
Zhenzhen Zhang ◽  
Jianjun Hou ◽  
Zhaohong Li ◽  
Dongdong Li
Keyword(s):  
Forgery Detection ◽  
Inter Frame ◽  
Static Background

scholarly journals An Overview of Digital Video Tampering Detection Using Passive Methods and D-Hash Algorithm

2018 ◽  
Vol 7 (4.6) ◽  
pp. 373
Author(s):  
Anto Crescentia.A ◽  
Sujatha. G
Keyword(s):  
Digital Video ◽  
Forgery Detection ◽  
Tampering Detection ◽  
Integrity Verification ◽  
Hash Algorithm ◽  
Area Of Concern ◽  
Detection Strategies ◽  
Inter Frame ◽  
Passive Techniques ◽  
Integrity Check

Video tampering and integrity detection can be defined as methods of alteration of the contents of the video which will enable it to hide objects, an occasion or adjust the importance passed on by the collection of images in the video. Modification of video contents is growing rapidly due to the expansion of the video procurement gadgets and great video altering programming devices. Subsequently verification of video files is transforming into something very vital. Video integrity verification aims to search out the hints of altering and subsequently asses the realness and uprightness of the video. These strategies might be ordered into active and passive techniques. Therefore our area of concern in this paper is to present our views on different passive video tampering detection strategies and integrity check. Passive video tampering identification strategies are grouped into consequent three classifications depending on the type of counterfeiting as: Detection of double or multiple compressed videos, Region altering recognition and Video inter-frame forgery detection. So as to detect the tampering of the video, it is split into frames and hash is generated for a group of frames referred to as Group of Pictures. This hash value is verified by the receiver to detect tampering.    

Inter-frame passive-blind forgery detection for video shot based on similarity analysis

2018 ◽  
Vol 77 (19) ◽  
pp. 25389-25408 ◽  
Author(s):  
Dong-Ning Zhao ◽  
Ren-Kui Wang ◽  
Zhe-Ming Lu
Keyword(s):  
Similarity Analysis ◽  
Forgery Detection ◽  
Video Shot ◽  
Inter Frame

Inter-frame forgery detection in H.264 videos using motion and brightness gradients

2017 ◽  
Vol 76 (24) ◽  
pp. 25767-25786 ◽  
Author(s):  
Staffy Kingra ◽  
Naveen Aggarwal ◽  
Raahat Devender Singh
Keyword(s):  
Forgery Detection ◽  
Inter Frame

Similarity Analysis of Residual Frames for Inter Frame Forgery Detection in Video

2020 ◽  
pp. 847-855
Author(s):  
K. N. Sowmya ◽  
H. T. Basavaraju ◽  
B. H. Lohitashva ◽  
H. R. Chennamma ◽  
V. N. Manjunath Aradhya
Keyword(s):  
Similarity Analysis ◽  
Forgery Detection ◽  
Inter Frame

Inter-frame forgery detection based on differential energy of residue

2019 ◽  
Vol 13 (3) ◽  
pp. 522-528 ◽  
Author(s):  
Sondos M. Fadl ◽  
Qi Han ◽  
Qiong Li
Keyword(s):  
Forgery Detection ◽  
Inter Frame
Sign in / Sign up

Export Citation Format

Share Document