A comprehensive survey on state-of-the-art video forgery detection techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-14870-8.pdf
Reference168 articles.
1. Afchar D, Nozick V, Yamagishi J, Echizen I (2018) Mesonet: a compact facial video forgery detection network. In: 2018 IEEE international workshop on information forensics and security (WIFS). IEEE, pp 1–7
2. Aghamaleki JA, Behrad A (2016) Inter-frame video forgery detection and localization using intrinsic effects of double compression on quantization errors of video coding. Signal Process Image Commun 47:289–302. https://doi.org/10.1016/j.image.2016.07.001
3. Aghamaleki JA, Behrad A (2017) Malicious inter-frame video tampering detection in MPEG videos using time and spatial domain analysis of quantization effects. Multimed Tools Appl 76:20691–20717
4. Al-Sanjary OI, Ahmed AA, Bin JAA, et al (2018) Detection clone an object movement using an optical flow approach. In: 2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE). IEEE, pp 388–394
5. Al-Sanjary OI, Ahmed AA, Ahmad HB, et al (2018) Deleting object in video copy-move forgery detection based on optical flow concept. In: 2018 IEEE conference on systems, Process and Control (ICSPC). IEEE, pp 33–38
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Optifake: optical flow extraction for deepfake detection using ensemble learning technique;Multimedia Tools and Applications;2024-02-26
2. A Comparative Study of Performance Between Federated Learning and Centralized Learning Using Pathological Image of Endometrial Cancer;Journal of Imaging Informatics in Medicine;2024-02-21
3. An MSDCNN-LSTM framework for video frame deletion forensics;Multimedia Tools and Applications;2024-02-12
4. Deepfake detection using deep feature stacking and meta-learning;Heliyon;2024-02
5. Frame Duplication and Insertion Forgery Detection in Surveillance Videos Using Optical Flow and Texture Features;2023-06-29
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3