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
  • [41] Video Stabilization and Tampering Detection for Surveillance Systems using Homography
    Javadi, M. S.
    Kadim, Zulaikha
    Woon, Hon Hock
    Johari, Khairunnisa Mohamed
    Samudin, Norshuhada
    2015 2ND INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATIONS, AND CONTROL TECHNOLOGY (I4CT), 2015,
  • [42] Beamforming Techniques for Passive Radar: An Overview
    Nunez-Ortuno, Jose M.
    Gonzalez-Coma, Jose P.
    Lopez, Ruben Nocelo
    Troncoso-Pastoriza, Francisco
    Alvarez-Hernandez, Maria
    SENSORS, 2023, 23 (07)
  • [43] AN OVERVIEW OF DIGITAL RADIOGRAPHIC TECHNIQUES
    MISTRETTA, CA
    MEDICAL PHYSICS, 1982, 9 (04) : 645 - 645
  • [44] An overview of Advanced Optical Flow Techniques for Copy Move Video Forgery Detection
    Alkawaz, Mohammed Hazim
    Veeran, Maran al Tamil
    Hajamydeen, Asif Iqbal
    Al-Sanjary, Omar Ismael
    11TH IEEE SYMPOSIUM ON COMPUTER APPLICATIONS & INDUSTRIAL ELECTRONICS (ISCAIE 2021), 2021, : 319 - 324
  • [45] Multimedia Tampering Detection: A Comprehensive Review of Available Techniques and Solutions
    Tripathi, Gautami
    Ahad, Mohd Abdul
    Haq, Zeeshan Ali
    ADVANCES IN BIOINFORMATICS, MULTIMEDIA, AND ELECTRONICS CIRCUITS AND SIGNALS, 2020, 1064 : 223 - 235
  • [46] Passive forensic based on spatio-temporal localization of video object removal tampering
    Chen L.
    Yang Q.
    Yuan L.
    Yao Y.
    Zhang Z.
    Wu G.
    Tongxin Xuebao/Journal on Communications, 2020, 41 (07): : 110 - 120
  • [47] A MCEA based passive forensics scheme for detecting frame-based video tampering
    Dong, Qiong
    Yang, Gaobo
    Zhu, Ningbo
    DIGITAL INVESTIGATION, 2012, 9 (02) : 151 - 159
  • [48] PAN Card Tampering Detection using Machine Learning Techniques
    Lalsudhesh, H. Abdurrahman
    Keerthana, R.
    Radha, N.
    Swathika, R.
    2024 SECOND INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTING AND INFORMATICS, ICICI 2024, 2024, : 316 - 322
  • [49] Digital video techniques in neuroscience
    Fenton, AA
    Muller, RU
    METHODS-A COMPANION TO METHODS IN ENZYMOLOGY, 2000, 21 (04): : 313 - 315
  • [50] Video transcoding architectures and techniques: An overview
    Vetro, A
    Christopoulos, C
    Sun, HF
    IEEE SIGNAL PROCESSING MAGAZINE, 2003, 20 (02) : 18 - 29