Results 71 to 80 of about 2,330 (292)
Face Forgery Detection and Attribution via Prototype Disentanglement [PDF]
Jisuanji kexue yu tansuoThe detection and attribution of face forgery aims to determine whether a face in an image or video has been manipulated or synthesized using Deepfake techniques, as well as to further analyze the Deepfake method behind it.
QIAN Fei, LI Wei, CHEN Peng, CHEN Haoran, XIE Lipeng, LIU Liyuan
doaj +1 more source
Investigating Human Factors in Image Forgery Detection [PDF]
Proceedings of the 1st ACM International Workshop on Human Centered Event Understanding from Multimedia, 2014 In today's age of internet and social media, one can find an enormous volume of forged images on-line. These images have been used in the past to convey falsified information and achieve harmful intentions. The spread and the effect of the social media only makes this problem more severe.
Parag S. Chandakkar, Baoxin Li
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Light‐Imprinted Chirality in Nanomaterials: From Principles to Applications
Advanced Science, EarlyView.Light‐induced chirality represents a transformative paradigm for fabricating chiral nanostructures. This review provides a comprehensive framework encompassing light‐based strategies for imprinting and tuning chirality in nanomaterials, which guides researchers in harnessing light to create next‐generation functional materials.
Xinru Jin +3 more
wiley +1 more source
AISMSNet: Advanced Image Splicing Manipulation Identification Based on Siamese Networks
Applied SciencesThe exponential surge in specialized image editing software has intensified visual forgery, with splicing attacks emerging as a popular forgery technique.
Ana Elena Ramirez-Rodriguez +4 more
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Advanced Science, EarlyView.By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Image Forgery Detection System
International Journal for Research in Applied Science and Engineering TechnologyThe rise of digital images has made communication and documentation much easier. However, it has also increased the problem of malicious image tampering, which creates serious issues for digital security, forensics, and public trust. This paper presents an automated image forgery detection system that uses feature-basedstatisticalanalysis ...
null Ms. Krutika Suryawanshi, Mr. Borade Sarthak Sandeep +2 more
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MathematicsWith the rapid advancement of image processing techniques, digital image forgery detection has emerged as a critical research area in information forensics.
Haichang Yin +3 more
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International Journal of Computer Applications, 2016 With the development of Image processing editing tools and software, an image is manipulated very easily. The image manipulation detection is essential for the reason that an image can be employed as legal evidence, in the field of forensics investigations, and also in numerous various other fields.
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Advanced Science, EarlyView.An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li +8 more
wiley +1 more source
CoMoFoD #x2014; New database for copy-move forgery detection
, 2013 Due to the availability of many sophisticated image processing tools, a digital image forgery is nowadays very often used. One of the common forgery method is a copy-move forgery, where part of an image is copied to another location in the same image ...
Grgic, M +3 more
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