DocumentCode
3105544
Title
Video authentication in digital forensic
Author
Gupta, Ankita ; Gupta, Shilpi ; Mehra, Anu
Author_Institution
ASET, Amity Univ., Noida, India
fYear
2015
fDate
25-27 Feb. 2015
Firstpage
659
Lastpage
663
Abstract
The large amount of video content is being transmitted over internet and other channels. With the help of existing multimedia editing tools one can easily change the content of data which lead to lose the authenticity of the information. Thus, it becomes necessary to develop different methods by which the authenticity of the videos can be confirmed. In the past researchers have proposed several methods for authentication of videos. This paper presents an algorithm that is divided in two parts: computing the repeated frames by processing the image pixels to produce a frame-by-frame motion energy time and computing the tampering attack and its location with the help of the Support Vector Machine. This helps to predict whether the given video has been tampered or not.
Keywords
image forensics; image motion analysis; security of data; support vector machines; video signal processing; digital forensic; frame-by-frame motion energy time; image pixel processing; support vector machine; tampering attack; video authentication; Authentication; Forensics; Image quality; Multimedia communication; Streaming media; Support vector machines; Watermarking; Blind Image Quality Assessment; Digital Forensics; No reference; Reduce Reference; Spatial domain; Support Vector Machine; Tampering attacks; Temporal domain; Video authentication;
fLanguage
English
Publisher
ieee
Conference_Titel
Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015 International Conference on
Conference_Location
Noida
Print_ISBN
978-1-4799-8432-9
Type
conf
DOI
10.1109/ABLAZE.2015.7154945
Filename
7154945
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