Journal of Applied Sciences ›› 2018, Vol. 36 ›› Issue (2): 347-361.doi: 10.3969/j.issn.0255-8297.2018.02.013

• Special Issue: Information Security of Multimedia Contents • Previous Articles     Next Articles

Expansion of Video Forgery Detection Database and Validation of Its Effectiveness

LI Ji-cheng1, HU Yong-jian1,3, Al-Alas Mohammed1, XIONG Yi-chun1, WEN Dong-xia1, REN Yuan-yuan1, LIAO Guang-jun2,3   

  1. 1. School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, China;
    2. Faculty of Forensic Science and Technology, Guangdong Police College, Guangzhou 510230, China;
    3. Sino-Singapore Joint Research Institute, Guangzhou 510000, China
  • Received:2018-02-04 Online:2018-03-31 Published:2018-03-31

Abstract:

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.

Key words: video forgery detection, video forgery detection database, effectiveness, inter-frame forgery, intra-frame forgery

CLC Number: