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
Link To Document :
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