Digital video tampering detection: An overview of passive techniques

被引:88
|
作者
Sitara, K. [1 ,2 ]
Mehtre, B. M. [1 ]
机构
[1] Reserve Bank India, IDRBT, CCS, Hyderabad 500057, Andhra Pradesh, India
[2] Univ Hyderabad, Sch Comp Sci & Informat Sci SCIS, Hyderabad 500046, Andhra Pradesh, India
关键词
Video forgery detection; Video tampering detection; Video forensics; Video anti-forensics; Passive forensics; FORGERY; COMPRESSION; FORENSICS;
D O I
10.1016/j.diin.2016.06.003
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Video tampering is a process of malicious alteration of video content, so as to conceal an object, an event or change the meaning conveyed by the imagery in the video. Fast proliferation of video acquisition devices and powerful video editing software tools have made video tampering an easy task. Hence, the authentication of video files (especially in surveillance applications like bank ATM videos, medical field and legal concerns) are becoming important. Video tampering detection aims to find the traces of tampering and thereby evaluate the authenticity and integrity of the video file. These methods can be classified into active and passive (blind) methods. In this paper, we present a survey on passive video tampering detection methods. Passive video tampering detection methods are classified into the following three categories based on the type of forgery they address: Detection of double or multiple compressed videos, Region tampering detection and Video inter-frame forgery detection. At first, we briefly present the preliminaries of video files required for understanding video tampering forgery. The existing papers surveyed are presented concisely; the features used and their limitations are summarized in a compact tabular form. Finally, we have identified some open issues that help to identify new research areas in passive video tampering detection. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:8 / 22
页数:15
相关论文
共 50 条
  • [21] Image Tampering Detection Techniques: A Statistical Review
    Patil, Sonal
    Jariwala, K. N.
    HELIX, 2019, 9 (03): : 5004 - 5008
  • [22] Tampering Detection in Oral History Video Using Watermarking
    Lu, Jianfeng
    Gao, Peng
    Zhang, Shanqing
    Li, Li
    Yuan, Wenqiang
    Zhou, Qili
    CLOUD COMPUTING AND SECURITY, PT I, 2017, 10602
  • [23] Emergence of deepfakes and video tampering detection approaches: A survey
    Kingra, Staffy
    Aggarwal, Naveen
    Kaur, Nirmal
    MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 82 (07) : 10165 - 10209
  • [24] Emergence of deepfakes and video tampering detection approaches: A survey
    Staffy Kingra
    Naveen Aggarwal
    Nirmal Kaur
    Multimedia Tools and Applications, 2023, 82 : 10165 - 10209
  • [25] A Comparative study of various Video Tampering detection methods
    Kaur, Sandeep
    Kushwaha, Alok Kumar Singh
    2018 FIRST INTERNATIONAL CONFERENCE ON SECURE CYBER COMPUTING AND COMMUNICATIONS (ICSCCC 2018), 2018, : 418 - 423
  • [26] Classification of video tampering methods and countermeasures using digital watermarking
    Yin, P
    Yu, HH
    MULTIMEDIA SYSTEMS AND APPLICATIONS IV, 2001, 4518 : 239 - 246
  • [27] A digital video tampering forensics scheme based on forensics hash
    Wei, Hui
    Yang, Gao-Bo
    Xia, Ming
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2013, 35 (12): : 2934 - 2941
  • [28] Digital image forgery detection using passive techniques: A survey
    Birajdar, Gajanan K.
    Mankar, Vijay H.
    DIGITAL INVESTIGATION, 2013, 10 (03) : 226 - 245
  • [29] A Passive Scheme for Tampering Detection Based on Quantization Table Estimation
    Lin, Guo-Shiang
    Chang, Min-Kuan
    Chen, You-lin
    VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2010, 2010, 7744
  • [30] DIGITAL VIDEO COMPRESSION - AN OVERVIEW
    WALTRICH, JB
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 1993, 11 (01) : 70 - 75