Chinese Journal of Network and Information Security ›› 2017, Vol. 3 ›› Issue (2): 46-52.doi: 10.11959/j.issn.2096-109x.2017.00123

• Academic paper • Previous Articles     Next Articles

Passive forensics for video object removal tampering

Ye YAO(),Wei-tong HU,Yi-zhi REN   

  1. School of CyberSpace Security, Hangzhou Dianzi University, Hangzhou 310018, China
  • Revised:2016-11-15 Online:2017-02-01 Published:2017-02-10
  • Supported by:
    The Open Research Fund of Shanghai Key Laboratory of Integrated Administration Technologies for Infor-mation Security(AGK2015004);The Open Research Fund of State Key Laboratory of Information Engineering in Survey-ing, Mapping and Remote Sensing(14S01)

Abstract:

Firstly, the concept and importance of digital video object removal tampering forensics were introduced. Then, several current passive forensics algorithms for object removal tampering were selected and divided into two categories that based on correlation analysis and based on machine learning algorithm according to development trends. The selected passive forensics algorithms were introduced in detail. Finally, some possible research trends in video object removal tampering detections in the future were looked forward to.

Key words: digital video forensics, video object tampering, tampering detection, passive forensics

CLC Number: 

No Suggested Reading articles found!