Expansion of Video Forgery Detection Database and Validation of Its Effectiveness
Received date: 2018-02-04
Online published: 2018-03-31
Video forgery detection database VFDD1.0 effectively alleviates the current situation of lacking standard video forgery detection database, but still with drawback of insufcient capacity. To solve this problem, we expanded VFDD1.0 to VFDD2.0, which contains 1 550 videos, including 990 original videos captured with different imaging equipment and the corresponding 560 forged videos. In this paper, we describe the newly added videos and test the effectiveness of the expanded database with seven video forgery detection algorithms. Experimental results show that the proposed VFDD2.0 is capable of exhibiting performance of different algorithms more comprehensively, and is proved to be an effective database for video forgery detection.
LI Ji-cheng, HU Yong-jian, Al-Alas Mohammed, XIONG Yi-chun, WEN Dong-xia, REN Yuan-yuan, LIAO Guang-jun . Expansion of Video Forgery Detection Database and Validation of Its Effectiveness[J]. Journal of Applied Sciences, 2018 , 36(2) : 347 -361 . DOI: 10.3969/j.issn.0255-8297.2018.02.013
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