应用科学学报 ›› 2018, Vol. 36 ›› Issue (2): 347-361.doi: 10.3969/j.issn.0255-8297.2018.02.013

• 多媒体信息安全专刊 • 上一篇    下一篇

视频篡改检测数据库的扩充及其有效性验证

李纪成1, 胡永健1,3, Al-Alas Mohammed1, 熊艺纯1, 文东霞1, 任圆圆1, 廖广军2,3   

  1. 1. 华南理工大学 电子与信息学院, 广州 510640;
    2. 广东警官学院 刑事技术系, 广州 510230;
    3. 中新国际联合研究院, 广州 510000
  • 收稿日期:2018-02-04 出版日期:2018-03-31 发布日期:2018-03-31
  • 通信作者: 胡永健,教授,博导,研究方向:多媒体信息安全、图像处理以及机器学习,E-mail:eeyjhu@scut.edu.cn E-mail:eeyjhu@scut.edu.cn
  • 基金资助:

    广东省科技计划国际协同创新项目基金(No.2017A05051002);广州市科技项目基金(No.201510010275);中新国际联合研究院项目基金(No.206-A017023);广东省自然科学基金博士启动项目(No.2017A030310320)资助

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

摘要:

视频篡改检测数据库VFDD1.0(video forgery detection database)有效缓解了当前缺乏标准实验视频数据库的现状,然而VFDD1.0库容不够大.针对这一问题,对VFDD1.0进行了扩充得到VFDD2.0.新增视频1 550段,包含990段来自不同录像设备的原始视频及其560段篡改后的视频.对新增原始视频和篡改后的视频进行了介绍,同时利用7种视频篡改检测算法对扩充后的数据库进行了有效性测试.实验结果表明,所提出的VFDD2.0数据库能更全面地反映不同检测算法的性能,是一个有效的视频篡改检测数据库.

关键词: 帧间篡改, 帧内篡改, 视频篡改检测, 视频篡改检测数据库, 有效性

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

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