Works matching Forgery
Results: 4508
There Will Always Be Forgeries: Situating Forgery Culture in the Chinese Antiques Market.
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- Journal of Social Sciences & Philosophy, 2019, v. 31, n. 2, p. 187
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A new video forgery detection approach based on forgery line.
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- Turkish Journal of Electrical Engineering & Computer Sciences, 2017, v. 25, n. 6, p. 4558, doi. 10.3906/elk-1703-125
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A comprehensive survey of image and video forgery techniques: variants, challenges, and future directions.
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- Multimedia Systems, 2022, v. 28, n. 3, p. 939, doi. 10.1007/s00530-021-00873-8
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- Article
基于非局部自相关的复制粘贴检测算法.
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- Electronic Science & Technology, 2022, v. 35, n. 10, p. 59, doi. 10.16180/j.cnki.issn1007-7820.2022.10.010
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- Article
'Goet, Origineel, ende Autentijcq': Printing Privileges, Forgery, and Authority in the Dutch Republic.
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- Early Modern Low Countries, 2024, v. 8, n. 2, p. 170, doi. 10.51750/emlc20824
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Detecting of forgery of an Aivazovsky's oil painting.
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- Magazine General Union of Arab Archaeologists, 2009, n. 10, p. 122
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Scene Segmentation for Interframe Forgery Identification.
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- Journal of ICT Research & Applications, 2023, v. 17, n. 2, p. 201, doi. 10.5614/itbj.ict.res.appl.2023.17.2.5
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Deep Learning for Detection of Object-Based Forgery in Advanced Video.
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- Symmetry (20738994), 2018, v. 10, n. 1, p. 3, doi. 10.3390/sym10010003
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Salient keypoint-based copy–move image forgery detection.
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- Australian Journal of Forensic Sciences, 2023, v. 55, n. 3, p. 331, doi. 10.1080/00450618.2021.2016964
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The F Words: Frauds, Forgeries, and Fakes in Antiquities Smuggling and the Role of Organized Crime.
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- International Journal of Cultural Property, 2018, v. 25, n. 2, p. 223, doi. 10.1017/S0940739118000127
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FD-GAN: Generalizable and Robust Forgery Detection via Generative Adversarial Networks.
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- International Journal of Computer Vision, 2024, v. 132, n. 12, p. 5801, doi. 10.1007/s11263-024-02136-1
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Image forgery techniques: a review.
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- Artificial Intelligence Review, 2023, v. 56, n. 2, p. 1577, doi. 10.1007/s10462-022-10211-7
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Mining Fine-Grain Face Forgery Cues with Fusion Modality.
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- Computers, Materials & Continua, 2023, v. 75, n. 2, p. 4025, doi. 10.32604/cmc.2023.036688
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Multiple Forgery Detection in Video Using Convolution Neural Network.
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- Computers, Materials & Continua, 2022, v. 73, n. 1, p. 1347, doi. 10.32604/cmc.2022.023545
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- Article
Copy-Move Forgery Detection Based on Discrete and SURF Transforms.
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- Wireless Personal Communications, 2020, v. 110, n. 1, p. 503, doi. 10.1007/s11277-019-06739-7
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- Article
ÖZEL EVRAKTA SAHTECİLİK SUÇU AÇISINDAN SERMAYE PİYASASI KANUNU'NDA DÜZENLENEN USULSÜZLÜK SUÇUNA (MD. 112/2) İLİŞKİN SORUNLAR VE ÖNERİLER.
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- Hacettepe Law Review, 2022, v. 12, n. 1, p. 556, doi. 10.32957/hacettepehdf.1107616
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Procedura specială a desființării înscrisurilor în procesul penal și procedura cercetării falsului de către instanța civilă. Aspecte comparative și probleme practice.
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- Romanian Case Law Review / Revista Română de Jurisprudenţă, 2022, n. 4, p. 455
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Copy-Move Forgery Detection and Localization Using a Generative Adversarial Network and Convolutional Neural-Network.
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- Information (2078-2489), 2019, v. 10, n. 9, p. 286, doi. 10.3390/info10090286
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Development of an Approach for Image Forgery Detection Using Machine Learning Algorithms.
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- Journal of Intelligent Systems & Internet of Things, 2024, v. 12, n. 2, p. 166, doi. 10.54216/JISIoT.120212
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The Concept of Forgery Crime Under United Kingdom Law.
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- Journal of Juridical & Political Science, 2017, v. 6, n. 2, p. 161
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Urkundenfälschung im römischen Recht, Cicero als Schriftsachverständiger.
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- Journal on European History of Law, 2022, v. 13, n. 1, p. 219
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Inter-frame forgery detection and localisation in videos using earth mover's distance metric.
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- IET Image Processing (Wiley-Blackwell), 2020, v. 14, n. 16, p. 4168, doi. 10.1049/iet-ipr.2020.0287
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A Thorough Investigation on Image Forgery Detection.
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- Computer Modeling in Engineering & Sciences (CMES), 2023, v. 134, n. 3, p. 1489, doi. 10.32604/cmes.2022.020920
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- Article
Frame Duplication Forgery Detection in Surveillance Video Sequences Using Textural Features.
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- Electronics (2079-9292), 2023, v. 12, n. 22, p. 4597, doi. 10.3390/electronics12224597
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A Video Splicing Forgery Detection and Localization Algorithm Based on Sensor Pattern Noise.
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- Electronics (2079-9292), 2023, v. 12, n. 6, p. 1362, doi. 10.3390/electronics12061362
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A Visual Cryptography-Based Watermarking Approach for the Detection and Localization of Image Forgery.
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- Electronics (2079-9292), 2022, v. 11, n. 1, p. 136, doi. 10.3390/electronics11010136
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A survey on passive digital video forgery detection techniques.
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- International Journal of Electrical & Computer Engineering (2088-8708), 2023, v. 13, n. 6, p. 6324, doi. 10.11591/ijece.v13i6.pp6324-6334
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AHP validated literature review of forgery type dependent passive image forgery detection with explainable AI.
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- International Journal of Electrical & Computer Engineering (2088-8708), 2021, v. 11, n. 5, p. 4489, doi. 10.11591/ijece.v11i5.pp4489-4501
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A two-stage detection method of copy-move forgery based on parallel feature fusion.
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- EURASIP Journal on Wireless Communications & Networking, 2022, v. 2022, n. 1, p. 1, doi. 10.1186/s13638-022-02112-8
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Conservation and the Ethics of Unintentional Forgery.
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- Studies in Conservation, 2022, v. 67, n. 1/2, p. 50, doi. 10.1080/00393630.2021.1940799
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AdfNet：一种基于多样化特征的自适应 深度伪造检测网络.
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- Journal of South China University of Technology (Natural Science Edition), 2023, v. 51, n. 9, p. 82, doi. 10.12141/j.issn.1000-565X.220825
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Copy-Move forgery detection using EOA, DWT and DCT.
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- Pamukkale University Journal of Engineering Sciences, 2024, v. 30, n. 2, p. 222, doi. 10.5505/pajes.2023.94395
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Video forgery detection method based on local difference binary.
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- Pamukkale University Journal of Engineering Sciences, 2020, v. 26, n. 5, p. 983, doi. 10.5505/pajes.2020.75768
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An Approach for Identification of Copy-Move Image Forgery based on Projection Profiling.
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- Pertanika Journal of Science & Technology, 2017, v. 25, n. 2, p. 507
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Detecting sequential video forgery using spatiotemporal attention mechanisms.
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- Journal of Electronic Imaging, 2024, v. 33, n. 6, p. 63042, doi. 10.1117/1.JEI.33.6.063042
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Document forgery detection using distortion mutation of geometric parameters in characters.
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- Journal of Electronic Imaging, 2015, v. 24, n. 2, p. 1, doi. 10.1117/1.JEI.24.2.023008
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Automated identification of copy‐move forgery using Hessian and patch feature extraction techniques.
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- Journal of Forensic Sciences, 2024, v. 69, n. 1, p. 131, doi. 10.1111/1556-4029.15415
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- Article
Two-stage Keypoint Detection Scheme for Region Duplication Forgery Detection in Digital Images.
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- Journal of Forensic Sciences, 2018, v. 63, n. 1, p. 102, doi. 10.1111/1556-4029.13456
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Blind Detection of Region Duplication Forgery Using Fractal Coding and Feature Matching.
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- Journal of Forensic Sciences, 2016, v. 61, n. 3, p. 623, doi. 10.1111/1556-4029.13108
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- Article
REPENSANDO EL DELITO DE FALSIFICACIÓN DOCUMENTAL A LA LUZ DEL PRINCIPIO DE NE BIS IN IDEM.
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- Teoría & Derecho. Revista de Pensamiento Jurídico, 2023, n. 34, p. 282, doi. 10.36151/TD.2023.075
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- Article
A NEW ACT OF ROGER, ARCHBISHOP OF YORK, 1154-1181: FURTHER EVIDENCE OF FORGERY AT NOSTELL PRIORY?
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- Northern History, 2014, v. 51, n. 2, p. 344, doi. 10.1179/0078172X14Z.00000000069
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- Article
A cohesive forgery detection for splicing and copy-paste in digital images.
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- Multimedia Tools & Applications, 2025, v. 84, n. 1, p. 147, doi. 10.1007/s11042-024-18154-7
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A comprehensive survey on state-of-the-art video forgery detection techniques.
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- Multimedia Tools & Applications, 2023, v. 82, n. 22, p. 33499, doi. 10.1007/s11042-023-14870-8
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A deep neural network with hybrid spotted hyena optimizer and grasshopper optimization algorithm for copy move forgery detection.
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- Multimedia Tools & Applications, 2023, v. 82, n. 16, p. 24547, doi. 10.1007/s11042-022-14163-6
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An enhanced copy-move forgery detection using machine learning based hybrid optimization model.
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- Multimedia Tools & Applications, 2022, v. 81, n. 18, p. 25383, doi. 10.1007/s11042-022-11977-2
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Multiple forgery detection and localization technique for digital video using PCT and NBAP.
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- Multimedia Tools & Applications, 2022, v. 81, n. 16, p. 22731, doi. 10.1007/s11042-021-10989-8
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Identification of copy-move and splicing based forgeries using advanced SURF and revised template matching.
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- Multimedia Tools & Applications, 2021, v. 80, n. 16, p. 23877, doi. 10.1007/s11042-021-10810-6
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A comprehensive survey on passive techniques for digital video forgery detection.
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- Multimedia Tools & Applications, 2021, v. 80, n. 4, p. 6247, doi. 10.1007/s11042-020-09974-4
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Copy move and splicing forgery detection using deep convolution neural network, and semantic segmentation.
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- Multimedia Tools & Applications, 2021, v. 80, n. 3, p. 3571, doi. 10.1007/s11042-020-09816-3
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A passive technique for detecting copy-move forgeries by image feature matching.
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- Multimedia Tools & Applications, 2020, v. 79, n. 43/44, p. 31759, doi. 10.1007/s11042-020-09655-2
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