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
  • [1] Digital Media Tampering Detection Techniques: An Overview
    Teerakanok, Songpon
    Uehara, Tetsutaro
    2017 IEEE 41ST ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 2, 2017, : 170 - 174
  • [2] Tampering Detection in Digital Video - A Review of Temporal Fingerprints Based Techniques
    Joshi, Vaishali
    Jain, Sanjay
    2015 2ND INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM), 2015, : 1121 - 1124
  • [3] Systematic analysis of video tampering and detection techniques
    Diwan, Anjali
    Dixit, Saurav
    Subbiah, Ram
    Mahadeva, Rajesh
    COGENT ENGINEERING, 2024, 11 (01):
  • [4] A comprehensive survey on passive techniques for digital video forgery detection
    Nitin Arvind Shelke
    Singara Singh Kasana
    Multimedia Tools and Applications, 2021, 80 : 6247 - 6310
  • [5] A comprehensive survey on passive techniques for digital video forgery detection
    Shelke, Nitin Arvind
    Kasana, Singara Singh
    MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (04) : 6247 - 6310
  • [6] Authentication and Digital Video Tampering Detection Using Watermarking
    Thenmozhi, R.
    Balachandar, K.
    Cathrine, Shobana
    Swathikha, S.
    Devi, G. Ranjana
    Saravanan, R.
    ICARCSET'15: PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ADVANCED RESEARCH IN COMPUTER SCIENCE ENGINEERING & TECHNOLOGY (ICARCSET - 2015), 2015,
  • [7] Tampering Detection in Compressed Digital Video Using Watermarking
    Fallahpour, Mehdi
    Shirmohammadi, Shervin
    Semsarzadeh, Mehdi
    Zhao, Jiying
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2014, 63 (05) : 1057 - 1072
  • [8] A SURVEY ON REAL TIME AUTHENTICATION AND TAMPERING DETECTION IN DIGITAL VIDEO
    Vijayalakshmi, V.
    Vasitha, R.
    Vanitha, V.
    Gayathri, M.
    2016 WORLD CONFERENCE ON FUTURISTIC TRENDS IN RESEARCH AND INNOVATION FOR SOCIAL WELFARE (STARTUP CONCLAVE), 2016,
  • [9] Digital Video Tampering Detection and Localization: Review, Representations, Challenges and Algorithm
    Akhtar, Naheed
    Saddique, Mubbashar
    Asghar, Khurshid
    Bajwa, Usama Ijaz
    Hussain, Muhammad
    Habib, Zulfiqar
    MATHEMATICS, 2022, 10 (02)
  • [10] Passive Video Forgery Detection Techniques: A Survey
    Wahab, Ainuddin Wahid Abdul
    Bagiwa, Mustapha Aminu
    Idris, Mohd Yamani Idna
    Khan, Suleman
    Razak, Zaidi
    Ariffin, Muhammad Rezal Kamel
    2014 10TH INTERNATIONAL CONFERENCE ON INFORMATION ASSURANCE AND SECURITY (IAS), 2014, : 29 - 34