Results 121 to 130 of about 110,442 (156)

ROBUST DETECTION OF OBJECT-BASED VIDEO FORGERIES USING DEEP CONVOLUTIONAL NEURAL NETWORKS

International journal of engineering science and advanced technology
: The rapid advancement of deep learning – based manipulation techniques has led to highly realistic object-based video forgeries, posing significant threats to digital security, media authenticity, and public trust.
Dr K.SHANTHI LATHA, Ambati TEJA REDDY, Sanga Srikanth, Y. Naresh, Bandari MANI TEJA   +4 more
semanticscholar   +1 more source

A DEEP LEARNING FRAMEWORK FOR ROBUST DETECTION OF OBJECT-BASED FORGERIES IN VIDEO

International journal of information technology and computer engineering
A crucial component of digital forensics is video forgery detection, which tackles the difficulties caused by video content tampering. In this study, a unique method for detecting video forgeries using Deep Convolutional Neural Networks (DCNN) is ...
Mekala Lakshmi, CH Sri Lakshmi Prasanna
semanticscholar   +1 more source

Black-Box Explainability-Guided Adversarial Attack for 3D Object Tracking

IEEE transactions on circuits and systems for video technology (Print)
With the development of deep 3D tracking models and their broad prospects for safety-critical applications, adversarial robustness, i.e., the ability of deep models to resist malicious adversarial attacks, has become an important research topic. Previous
Riran Cheng, Xupeng Wang, F. Sohel, Hang Lei   +3 more
semanticscholar   +1 more source

A Novel Watermarking Approach for Video Objects

2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)
This study proposes a robust method for video watermarking combining guided filter and motion-frame-based approaches to safeguard the legal identification of the video object from illegal tampering, unauthorized access, and copyright protection for ...
Gurdeep Singh, S. Mittal
semanticscholar   +1 more source

Video Matting Tamper Detection Based on Compressed Tracking

2024 IEEE 4th International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA)
In the digital era, the authenticity of video content has become a significant concern, especially given the rapid advancements in video technology and the increasing potential for tampering.
Zhiwen Chen, Xilin Yang
semanticscholar   +1 more source

Object based forgery detection and localization in videos

2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE), 2019
Video forensics involving passive approach exploits the statistical patterns of the video sequence to measure the integrity of video and detect forgery if it is compromised. Digital videos are susceptible to tampering due to the availability of efficient
K. N. Sowmya, H. R. Chennamma
semanticscholar   +1 more source

An Efficient Approach to Detecting a Copy-Move Forgery in Videos

Statistics, Optimization & Information Computing
In the past years, the advancement in editing technologies, especially multimedia, has contributed to increased image and video modification use. However, object-based video tampering, such as including or excluding objects in the video frames, poses a ...
Mahmoud Atef, Mohamed S. Farag, Mohammed Abdel Razek, Gaber Hassan   +3 more
semanticscholar   +1 more source

SmartSurveil: AI-based Intrusion and Suspicious Behavior Detection in CCTV

2025 3rd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIHEI)
This work involves the design of an AI-powered, deep learning-driven surveillance system named SmariSurveil; capable of proactive monitoring, intrusion detection, and suspicious behavior recognition in CCTV video feeds.
Devidas S. Thosar, Rajashree D. Thosar, Lakshmi Sharma, Mayenk Chanore, Priyanka Belkhede, Shardul Pohanerkar   +5 more
semanticscholar   +1 more source

Deep-Fake Visual Detection using AI

International Journal for Research in Applied Science and Engineering Technology
: In an era where synthetic media is becoming increasingly sophisticated, this project introduces an advanced AIpowered solution designed to detect deepfake content in both images and videos.
Sandesh Dhage
semanticscholar   +1 more source

A LightWeight IntraFrame Forgery Detection Model for Surveillance Videos

2024 Advances in Science and Engineering Technology International Conferences (ASET)
Nowadays, visual media is considered crucial legal evidence in judicial proceedings. With the development of simple software editing tools, one can easily edit images and videos to create manipulated ones.
P. G, Tamizharasan P.S
semanticscholar   +1 more source