JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2013, Vol. 43 ›› Issue (4): 32-38.

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Heterologous video copy-move forgery detection by fusing multiple features

LI Fu-gui1,2, HUANG Tian-qiang1,2*, SU Li-chao1,2, SU Wei-feng3   

  1. 1. School of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007, China;
    2. Fujian Provincial Key Laboratory of Network Security and Cryptography (Fujian Normal University), Fuzhou 350007, China;
    3. Department of Computer Science and Technology, BUNHKBU United International College, Zhuhai 519085, China
  • Received:2013-05-14 Online:2013-08-20 Published:2013-05-14

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Abstract:

Compared with the conventional methods of video forgeries, such as frame insertion,frame deletion and double compression, copy-move forgery might change the content of a video directly. Therefore, a new algorithm was proposed to detect video copy-move forgery by fusing multiple features. For an intraframe copy-move tampered video, which may introduce a number of sharp transitions in frames such as lines, edges and corners. Phase congruency was known as a sensitive measure of these sharp transitions and hence was proposed as features for video forgery detection. Meanwhile, the duplicated blocks from the heterologous video could introduce different pattern noise. Therefore, the proposed algorithm could extract features of video frames from the pattern noise and 2-D phase congruency for video forgery detection, and then the merged multiple features were experimented with the support vector machine (SVM). Experimental results demonstrated that the proposed algorithm could detect video of intra-frame copy-move forgery effectively.

Key words: copy-move detection, support vector machine, pattern noise, copy-move forgery, 2-D phase congruency

CLC Number: 

  • TP391
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