Video Objects Removal Forgery Detection and Localization

被引：3
|
作者：
Ye, Yao [1 ]
Ying, Cheng [1 ]
Li Xiaodong [1 ]
机构：
[1] Hangzhou Dianzi Univ, Comp Sch, Hangzhou, Zhejiang, Peoples R China
来源：
Proceedings NICOGRAPH International 2016 | 2016年
关键词：
video forensic; video object forgery; forgery detection and localization;
D O I：
10.1109/NicoInt.2016.30
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
According to the application requirements of authenticity and integrity of video sequence, the research topic of video objects removal detection and localization is discussed. We propose a three step framework for the purpose of locating the tampered objects in video sequences with a moving background which is captured by a moving camera. At the end, we give out the research challenges.
引用
收藏
页码：137 / 137
页数：1
相关论文
共 50 条
  • [41] Deep Convolutional Neural Network for Graphics Forgery Detection in Video
    Harpreet Kaur
    Neeru Jindal
    Wireless Personal Communications, 2020, 112 : 1763 - 1781
  • [42] VIDEO FORGERY DETECTION USING HOG FEATURES AND COMPRESSION PROPERTIES
    Subramanyam, A. V.
    Emmanuel, Sabu
    2012 IEEE 14TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP), 2012, : 89 - 94
  • [43] Visual attention-based deepfake video forgery detection
    Shreyan Ganguly
    Sk Mohiuddin
    Samir Malakar
    Erik Cuevas
    Ram Sarkar
    Pattern Analysis and Applications, 2022, 25 : 981 - 992
  • [44] A novel passive forgery detection algorithm for video region duplication
    Lichao Su
    Cuihua Li
    Multidimensional Systems and Signal Processing, 2018, 29 : 1173 - 1190
  • [45] Deep Convolutional Neural Network for Graphics Forgery Detection in Video
    Kaur, Harpreet
    Jindal, Neeru
    WIRELESS PERSONAL COMMUNICATIONS, 2020, 112 (03) : 1763 - 1781
  • [46] An Improved Fingerprinting Algorithm for Detection of Video Frame Duplication Forgery
    Hu, Yongjian
    Li, Chang-Tsun
    Wang, Yufei
    Liu, Bei-Bei
    INTERNATIONAL JOURNAL OF DIGITAL CRIME AND FORENSICS, 2012, 4 (03) : 20 - 32
  • [47] Video interframe forgery detection: Classification, technique & new dataset
    Sharma, Himani
    Kanwal, Navdeep
    JOURNAL OF COMPUTER SECURITY, 2021, 29 (05) : 531 - 550
  • [48] Visual attention-based deepfake video forgery detection
    Ganguly, Shreyan
    Mohiuddin, Sk
    Malakar, Samir
    Cuevas, Erik
    Sarkar, Ram
    PATTERN ANALYSIS AND APPLICATIONS, 2022, 25 (04) : 981 - 992
  • [49] Dual Attention Network Approaches to Face Forgery Video Detection
    Luo, Yi-Xiang
    Chen, Jiann-Liang
    IEEE ACCESS, 2022, 10 : 110754 - 110760
  • [50] 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
12345