DocumentCode :
3450013
Title :
Stochastic Video Signal´s Automatic Identification and Image Reproduction
Author :
Lin, Mingxiu ; Han, Guangliang
Author_Institution :
Northeastern Univ. Shenyang, Shenyang
fYear :
2007
fDate :
23-25 May 2007
Firstpage :
2542
Lastpage :
2545
Abstract :
In order to realize the automatic extraction of stochastic signal´s horizontal synchronization frequency and the stable reproduction of video image, different image features of horizontal synchronization blanking signal under different deviation are analyzed, and spectrum analysis algorithm of horizontal synchronization frequency, texture feature extraction algorithm of slope image and phase feature extraction algorithm of drifting image are put forward. Based on the three algorithms, the hierarchical automatic recognition algorithm is put forward to automatically control the adjusting of the horizontal synchronization frequency and realize the reproduction. The algorithm was applied in the automatic interception system of computer video leaking information, and quick interception and stable reproduction of computer video leaking information were achieved.
Keywords :
feature extraction; image recognition; image texture; video signal processing; automatic interception system; computer video leaking information; hierarchical automatic recognition algorithm; horizontal synchronization frequency; image reproduction; phase feature extraction algorithm; spectrum analysis algorithm; stochastic video signal identification; texture feature extraction algorithm; Algorithm design and analysis; Blanking; Displays; Feature extraction; Frequency synchronization; Image analysis; Image texture analysis; Signal analysis; Signal processing; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0737-8
Electronic_ISBN :
978-1-4244-0737-8
Type :
conf
DOI :
10.1109/ICIEA.2007.4318870
Filename :
4318870
Link To Document :
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