DocumentCode :
3401291
Title :
Universal spatial feature set for video steganalysis
Author :
Xikai Xu ; Jing Dong ; Tieniu Tan
Author_Institution :
Nat. Lab. of Pattern Recognition, Inst. of Autom., Beijing, China
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
245
Lastpage :
248
Abstract :
In this paper, we propose a universal spatial feature set for video steganalysis. This feature set comprehensively exploits the correlation of adjacent pixels and can be viewed as a generalized extension of most correlation based features. We also develop a new approach to extract inter-frame features for video steganalysis. Our method can be universally applied to detect different video steganographic algorithms regardless of video format. The experimental results show that it outperforms current correlation based methods.
Keywords :
feature extraction; steganography; video signal processing; adjacent pixels; correlation based features; generalized extension; interframe feature extraction; universal spatial feature set; video format; video steganalysis; video steganographic algorithms; Correlation; Feature extraction; Joints; Probability; Security; Transform coding; Unsolicited electronic mail; Video steganalysis; data hiding; inter-frame feature; stegnography; video slice;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6466841
Filename :
6466841
Link To Document :
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