Paper Info
Title
Surveillance Video Authentication Using Universal Image Quality Index Of Temporal Average
Abstract
Inter-frame forgery is a common type of surveillance video forgery where a tampered process occurs in a temporal domain such as frame deletion, insertion, and shuffling. However, there are a number of methods that have been proposed for detecting this type of tampering, most of the methods have been found to be deficient in terms of either accuracy or running time. In this paper, a new approach is proposed as an efficient method for detecting frame deletion, insertion, and shuffling attacks. Firstly, the video is extracted into frames and the temporal average for each non-overlapping subsequence of frames is computed for examination instead of exhaustive checking which can be reduced the running time. Then, the universal image quality index is used for detecting the inter-frame forgery and determining its location. The experimental results show the efficiency of the proposed method for detecting inter-frame forgery with high accuracy and low running time.
Year
DOI
Venue
2018
10.1007/978-3-030-11389-6_25
DIGITAL FORENSICS AND WATERMARKING, IWDW 2018
Keywords
Field
DocType
Passive forensics, Inter-frame forgery detection, Temporal average, Universal image quality index
Computer vision,Authentication,Computer science,Image quality,Shuffling,Artificial intelligence,Subsequence
Conference
Volume
ISSN
Citations 
11378
0302-9743
0
PageRank 
References 
Authors
0.34
12
3
Name
Order
Citations
PageRank
Sondos Fadl100.34
Qi Han213930.38
Qiong Li32311.77