Paper Info
Title
A fast detection method for frame duplication forgery based on correlation.
Abstract
In recent years, fast development of video editing software has made video forgery applicable. One of the most frequently encountered forgery types in video forensics is the frame duplication forgery. Researches have proposed methods to deal with this type of forgery. The two main drawbacks of this methods reported in the literature are execution time and low detection accuracy. In this work a new frame duplication forgery detection method that uses correlation between neighboring frames to extract features from video is proposed. Experimental results show that the proposed method has lower execution time with better detection accuracy compared to similar works reported in the literature.
Year
Venue
Keywords
2017
Signal Processing and Communications Applications Conference
correlation,video forgery,video authentication
Field
DocType
ISSN
Computer vision,Computer science,Feature extraction,Video editing,Correlation,Software,Forgery detection,Execution time,Artificial intelligence
Conference
2165-0608
Citations 
PageRank 
References 
0
0.34
9
Authors
5
Name
Order
Citations
PageRank
Ustubioglu, Beste1125.32
Güzin Ulutas26311.39
Vasif V. Nabiyev312114.59
Mustafa Ulutas48311.05
Arda Ustubioglu573.88