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Frame Identification of Object-Based Video Tampering Using Symmetrically Overlapped Motion Residual [PDF]
Symmetry, 2022 Image and video manipulation has been actively used in recent years with the development of multimedia editing technologies. However, object-based video tampering, which adds or removes objects within a video frame, is posing challenges because it is difficult to verify the authenticity of videos.
Cheol Woo Park, Il Kyu Eom
exaly +3 more sources
Passive forensics for video object removal tampering
网络与信息安全学报, 2017 Firstly, the concept and importance of digital video object removal tampering forensics were introduced. Then, several current passive forensics algorithms for object removal tampering were selected and divided into two categories that based on ...
Ye YAO, Wei-tong HU, Yi-zhi REN
doaj +5 more sources
Passive forensic based on spatio-temporal localization of video object removal tampering
Tongxin xuebao, 2020 To address the problem of identification of authenticity and integrity of video content and the location of video tampering area,a deep learning detection algorithm based on video noise flow was proposed.Firstly,based on SRM (spatial rich model) and C3D (
Linqiang CHEN +5 more
doaj +3 more sources
Space-time Domain Jointed Detection Algorithm for Object Removing Video [PDF]
Jisuanji gongcheng, 2018 With the rapid development of multimedia technology tampering software becomes more and more easy to be obtained and used.However,the subsequent forged video interfere the justice of judgment seriously in the meantime.So the detection of video forgery ...
WANG Bin,WANG Rangding
doaj +1 more source
ARCHANGEL: Tamper-proofing Video Archives using Temporal Content Hashes on the Blockchain [PDF]
, 2019 We present ARCHANGEL; a novel distributed ledger based system for assuring the long-term integrity of digital video archives. First, we describe a novel deep network architecture for computing compact temporal content hashes (TCHs) from audio-visual ...
Bell, Mark +10 more
core +2 more sources
Video Tampering Detection based on High-Frequency Features using Machine Learning
Artificial Intelligence and Cloud Computing Conference, 2020 In recent times, security cameras can be found installed in various places such as lobbies of buildings, urban areas, and drive recorders in automobiles. Similarly, smartphones and drive recorders have become a part of our everyday lives.
Hiroki Ueda +2 more
semanticscholar +1 more source
A Novel Approach for Video Inpainting Using Autoencoders
International Journal of Information Engineering and Electronic Business, 2021 : Inpainting is a task undertaken to fill in damaged or missing parts of an image or video frame, with believable content. The aim of this operation is to realistically complete images or frames of videos for a variety of applications such as ...
I. Siddavatam +5 more
semanticscholar +1 more source
An introduction to ghost imaging: quantum and classical [PDF]
, 2017 Ghost imaging has been a subject of interest to the quantum optics community for the past 20 years. Initially seen as manifestation of quantum spookiness, it is now recognized as being implementable in both single- and many-photon number regimes.
Boyd, Robert W., Padgett, Miles J.
core +1 more source
Forensic of video object removal tamper based on 3D dual-stream network
Tongxin xuebao, 2021 In order to solve the problems of inaccurate temporal detection and location of the object removal tampered video， a video tamper forensics method based on 3D dual-stream network was proposed.Firstly， the spatial rich model （SRM） layer was used to extract the high-frequency information from video frames.Secondly， the improved 3D convolution （C3D ...
Lizhi XIONG, Mengqi CAO, Zhangjie FU
openaire +2 more sources
Copy-Move Forgery Detection by Matching Triangles of Keypoints [PDF]
, 2015 Copy-move forgery is one of the most common types of tampering for digital images. Detection methods generally use block-matching approaches, which first divide the image into overlapping blocks and then extract and compare features to find similar ones,
ARDIZZONE, Edoardo +2 more
core +1 more source