Исследования, которые мы изучили

Для разработки приложения, изучаем передовые научные работы по антиплагиату, обработке видео и перцептивному хешированию. Уже изучили этот список:

  1. A Novel Video Object Segmentation Approach for Noisy Video Sequences towards Effective Video Retrieval
  2. Video Retrieval System supporting Content-based Retrieval and Scene-Query-By-Example Retrieval
  3. Video retrieval - evolution of video segmentation, indexing and search
  4. Content-based news video story segmentation and video retrieval
  5. Effect of Segmentation Method on Video Retrieval Performance
  6. Deep Fisher-Vector Descriptors for Image Retrieval and Scene Recognition
  7. Multiresolution video watermarking using perceptual models and scene segmentation
  8. Eminent scene change detection algorithm and new indexing method for video retrieval on MPEG sequences
  9. Segmentation-based image retrieval
  10. TCMA: Text-Conditioned Multi-granularity Alignment for Drone Cross-Modal Text-Video Retrieval
  11. Video Frame Enhancement based Text Semantic Fusion for Cross-modal Text-video Retrieval
  12. Cross-Modal Video Retrieval Model Based on Video-Text Dual Alignment
  13. Cross-Modal Learning Based on Semantic Correlation and Multi-Task Learning for Text-Video Retrieval
  14. Contrastive Transformer Cross-Modal Hashing for Video-Text Retrieval
  15. Cross-Modal Semantic Communication for Text-to-Video Retrieval in Internet of Vehicles
  16. Enhancing multi-level cross-modal interaction with false negative-aware contrastive learning for text-video retrieval
  17. Region-Aware Cross-Modal Embedding for Fine-Grained Text-To-Video Retrieval
  18. Similarity Preserving Transformer Cross-Modal Hashing for Video-Text Retrieval
  19. StructAlign: Structured Cross-Modal Alignment for Continual Text-to-Video Retrieval
  20. A cross-modal conditional mechanism based on attention for text-video retrieval
  21. Cap4Bridge: Caption-Guided Cross-Modal Contextualization With Stochastic Augmentation for Text-Video Retrieval
  22. Image Forensic Tool (IFT)
  23. Exposing Image Tampering: A Deep Learning Approach to Copy-Move Forgery Detection for Secure Digital Image Forensics
  24. Forensic Analysis of Digital Image Tampering
  25. Modern Visibility Enhancement and Tampering Detection Tools of Digital Image Forensics
  26. A Digital Video Tampering Forensics Scheme Based on Forensics Hash
  27. Countering Universal Image Tampering Detection with Histogram Restoration
  28. Statistical detection for digital image forensics
  29. A hybrid evolutionary algorithm for feature and ensemble selection in image tampering detection
  30. Research of Blind Forensics Algorithm on Digital Image Tampering
  31. New Feature Presentation of Transition Probability Matrix for Image Tampering Detection
  32. A Dual-Branch CNN and Metadata Analysis Approach for Robust Image Tampering Detection
  33. Statistical modeling and detection for digital image forensics
  34. A feature-based approach for image tampering detection and localization
  35. Topological Data Analysis for Image Tampering Detection
  36. Research on Digital Media Image Data Tampering Forensics Technology Based on Improved CNN Algorithm
  37. Image tampering detection in image forensics using earthworm‐rider optimization
  38. Smoothing Filtering Detection for Digital Image Forensics
  39. New Developments in Image Tampering Detection
  40. An Overview of Passive Digital Image Tampering Detection Methods
  41. Improved Tampering Localization in Digital Image Forensics Based on Maximal Entropy Random Walk
  42. Image tampering detection using noise histogram features
  43. Digital image forensics and anti-forensics
  44. Digital Multimedia Tampering Detection for Forensics Analysis
  45. Image tampering detection based on level or type of blurriness
  46. A Robust Copy-Move Forgery Detection In Digital Image Forensics Using SURF
  47. Differentiating digital image forensics and tampering localization by a novel hybrid approach
  48. A Survey of Blind Digital Image Forensics Technology for Authenticity Detection
  49. Analysis on Feasible Methods of Digital Image Tampering Detection
  50. Splicing Tampering Detection Algorithm Design for Digital Media Image Privacy
  51. Comprehensive image index and detection of tampering in a digital image
  52. Analyse And Overview on Digital Image Tampering Detection Using Matlab
  53. Multimodal Large Models for Image Tampering Detection and Explanation: From Detection to Reasoning
  54. Image Copy-Move Forgery Detection Using Deep Convolutional Neural Networks
  55. Image Forgery Detection Using Copy-Move Technique
  56. Image Copy-Move Forgery Detection using Color Features and Hierarchical Feature Point Matching
  57. Image Forgery and Detection of Copy Move Forgery in Digital Images: A Survey of Recent Forgery Detection Techniques
  58. IMAGE COPY-MOVE FORGERY DETECTION SYSTEM
  59. Copy Move Image Forgery Detection Based on Polar Fourier Representation
  60. The detection of copy move forgery image methodologies
  61. A proposed accelerated image copy-move forgery detection
  62. Keypoint Descriptors-Based Image Forensic Approach for Copy-Move Forgery Detection
  63. Digital Image Forgery Detection with Focus on a Copy-Move Forgery Detection: A Survey
  64. Copy - Move Image Forgery Detection in a Parallel Environment
  65. An Effective Image Copy-Move Forgery Detection Using Entropy Information
  66. Copy-Move Forgery Detection Based on SVD in Digital Image
  67. Copy move image forgery detection using mutual information
  68. Analysis of Copy Move Forgery Detection Process Using Fuzzy C Means Based DeepLearning Algorithm in Digital Image
  69. Efficient and Fast Copy Move Image Forgery Detection Technique
  70. A survey of copy-move image forgery detection techniques
  71. Detection Copy-Move Forgery in Image Via Quaternion Polar Harmonic Transforms
  72. Survey on image copy-move forgery detection
  73. Resunet: Effective Passive Model for Image Copy Move Forgery Localization
  74. Dyadic wavelets and dct based blind copy-move image forgery detection
  75. Deep features for image copy move forgery detection
  76. Robust method for detection of copy-move forgery in digital images
  77. A Review of Copy-Move Image Forgery Detection
  78. Copy Move Image Forgery Detection Using Machine Learning
  79. A new copy-move forgery detection algorithm using image preprocessing procedure
  80. HSV Based Image Forgery Detection for Copy-Move Attack
  81. Generation of Novelty Ground Truth Image Using Image Classification and Semantic Segmentation for Copy-Move Forgery Detection
  82. Image Copy-Move Forgery Detection
  83. Image Forensic using Block-based Copy-move Forgery Detection
  84. LBRT: Local-Information-Refined Transformer for Image Copy–Move Forgery Detection
  85. Copy-Move Image Forgery Detection Using Local Binary Pattern and Neighborhood Clustering
  86. Copy-move Image Forgery Detection and Localization Using Alteration Trace Net
  87. Adaptive Polar Based Filtering Method for Image Copy-Move Forgery Detection
  88. Inter frame Video Duplication Forgery Detection: A Review
  89. Inter Frame Video Forgery Detection using Normalized Multi Scale One Level Subtraction
  90. Enhanced inter-frame video forgery detection using convolutional network and stacking ensemble
  91. Video Forgery Detection: A Comprehensive Study of Inter and Intra Frame Forgery With Comparison of State-Of-Art
  92. VLIF: A Large-Scale Benchmark Dataset for Inter-Frame Video Forgery Detection with an MMR—CoV-based Detection Framework
  93. Surveillance Video Inter-frame Forgery Detection: Review on Techniques
  94. Video forgery localization using inter-frame denoising and intra-frame segmentation
  95. VortiFlow: curl-based block-wise motion dynamics for frame-level video forgery detection, localization, and forgery type classification
  96. Inter-frame Video Forgery Detection—A PCA-Based Approach
  97. A Comprehensive Analysis on Inter-Frame and Intra-Frame Video Forgery Detection Techniques
  98. Video Inter-frame Forgery Identification by a Statistical Method
  99. FORGERY FRAME DETECTION FROM THE VIDEO USING ERROR LEVEL ANALYSIS
  100. AN OPTIMIZED CONVOLUTION NEURAL NETWORK BASED INTER-FRAME FORGERY DETECTION MODEL - A MULTI-FEATURE EXTRACTION FRAMEWORK
  101. Frame Duplication Forgery Detection in Surveillance Video Sequences Using Textural Features
  102. An Improved Fingerprinting Algorithm for Detection of Video Frame Duplication Forgery
  103. An Unsupervised Learning Algorithm based deletion of Inter-frame Forgery Detection System
  104. Video frame copy-move forgery detection based on Cellular Automata and Local Binary Patterns
  105. Inter‐frame forgery detection based on differential energy of residue
  106. Exposing Video Forgeries by Detecting Misaligned Double Compression
  107. DualMobViT: A Dual-Stream Network for Frame-Level Video Double Compression Detection
  108. Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet
  109. Validation of PRNU source-camera identification error rates using methods and statistics on dark and bright images
  110. Iris-sensor authentication using camera PRNU fingerprints
  111. PRNU-Net: a Deep Learning Approach for Source Camera Model Identification based on Videos Taken with Smartphone
  112. Device-based Image Matching with Similarity Learning by Convolutional Neural Networks that Exploit the Underlying Camera Sensor Pattern Noise
  113. ANTI-FORENSICS: COUNTERING SENSOR NOISE CAMERA IDENTIFICATION
  114. Sensor-Pattern-Noise Map Reconstruction in Source Camera Identification for Size-Reduced Images
  115. Improved photo response non-uniformity (PRNU) based source camera identification
  116. Mitigating Adaptive PRNU Denoising in Camera Model Identification: An Anti–Counter Forensic Approach
  117. Image features dependant correlation-weighting function for efficient PRNU based source camera identification
  118. Digital camera identification based on the clustered pattern noise of image sensors
  119. Source camera linking using enhanced sensor pattern noise extracted from images
  120. Significance of image brightness levels for PRNU camera identification
  121. Camera Identification of DIBR-based Stereoscopic Image using Sensor Pattern Noise
  122. Blind PRNU fingerprint extraction for source camera identification
  123. A two dimensional camera identification method based on image sensor noise
  124. A Theoretical Framework for Estimating False Acceptance Rate of PRNU-Based Camera Identification
  125. PRNU-adapted deep fingerprint learning and reparameterized correlation for camera source identification
  126. PRNU-based source camera identification on smart video surveillance: a practical approach
  127. Leveraging image noise: source camera identification and increased robustness of convolutional neural networks
  128. Individual Camera Identification Using Correlation of Fixed Pattern Noise in Image Sensors
  129. A fast source camera identification and verification method based on PRNU analysis for use in video forensic investigations
  130. Sensor noise camera identification: countering counter-forensics
  131. Implementation of the likelihood ratio framework for camera identification based on sensor noise patterns
  132. Analysis of Seam-Carving-Based Anonymization of Images Against PRNU Noise Pattern-Based Source Attribution
  133. Identification of Photographic Images and Computer Graphics Using Fractal Feature of Sensor Pattern Noise
  134. Perceptully lossless video re-encoding for cloud transcoding
  135. Detection of re-compression, transcoding and frame-deletion for digital video authentication
  136. Evaluation of NVENC Split-Frame Encoding (SFE) for UHD Video Transcoding
  137. Video Transport Transcoding
  138. Re-configurable video transcoding platform
  139. Video Transcoding
  140. Cross-codec encoding optimizations for video transcoding
  141. Impact of Video Encoding Parameters on Dynamic Video Transcoding
  142. Transcoding of video into different encoding formats
  143. Video Transcoding Algorithms and Systems Architecture
  144. Efficient Encoding Platform for Complex Transcoding Workflows
  145. End-to-End Video Streaming and Transcoding System
  146. Multipass encoding for reducing pulsing artifacts in cloud based video transcoding
  147. Matrix encoding for data hiding using multilayer video coding and transcoding solutions
  148. Encoding and transcoding multiple video objects with variable temporal resolution
  149. Heterogeneous video transcoding to lower spatio-temporal resolutions and different encoding formats
  150. Multimedia Transcoding in Mobile and Wireless Networks
  151. An Effective Motion Re-estimation in Frame-Skipping Video Transcoding
  152. Advanced transcoding techniques for video communication
  153. Motion vector re-estimation for fractional-scale video transcoding
  154. Noise reduction method of video transcoding taking into consideration re-coding efficiency of macroblocks
  155. An efficient motion re-estimation algorithm for frame-skipping video transcoding
  156. Data Mining for Video Coding and Transcoding
  157. Cloud Based Video Transcoding for Resource Allocation
  158. Key frame selection for video transcoding
  159. Motion re-estimation for H.264/AVC video downscaling transcoding using EPZS algorithm
  160. Semantic-Based Video Transcoding Architectures for Quality of Service Applications in Mobile and Wireless Video Communication
  161. Detection of video transcoding for digital forensics
  162. Video Transcoding for Inter‐network Communications
  163. Fast video transcoding and graphics hardware acceleration
  164. Transcoding architectures for DCT-domain heterogeneous video transcoding
  165. Extreme Rate Distributed Video Transcoding System
  166. Detection of image resampling and video encoding footprints for forensic applications
  167. On re-composition of motion compensated macroblocks for DCT-based video transcoding
  168. Motion vector re-estimation and dynamic frame-skipping for video transcoding
  169. Application and Implementation of Video Transcoders
  170. Digital Video Transcoding
  171. Data-Driven Fairness Generalization for Deepfake Detection
  172. CSTAN: A Deepfake Detection Network with CST Attention for Superior Generalization
  173. Towards Generalization in Deepfake Detection
  174. Learning Meta Model for Strong Generalization Deepfake Detection
  175. From Sharpness to Better Generalization for Speech Deepfake Detection
  176. Wavelet-based features to improve cross-forgery generalization in deepfake detection
  177. A two-stage interaction approach for enhancing generalization of deepfake detection
  178. A System-Level Analysis of Cross-Domain Generalization Failure in Audio Deepfake Detection
  179. Advancing Generalization in Deepfake Detection: Supervised Contrastive Representation Learning With Dual Stream Spatio-Temporal Features
  180. Improving Generalization in Deepfake Detection via Augmentation with Recurrent Adversarial Attacks
  181. Shades of Generalization: Diversity Aware Open Set Deepfake Detection
  182. Deepfake Detection and Generalization: A Comparative Study of Deep Learning Architectures
  183. DeepFeatureX-SN: Generalization of deepfake detection via contrastive learning
  184. Improving Generalization in Deepfake Detection With Feature-Space Adversarial Consistency
  185. Quantum and Classical Reservoir Computing with Asymmetric Real-Anchoring for Audio Deepfake Detection: A Cross-Corpus Generalization Study
  186. AST: Generalization of Deepfake Detection with Attention Siamese Training
  187. Generalization in Audio Deepfake Detection: Evaluating ASR Encoder-Based Feature Extraction
  188. Hybrid Deep Learning for Robust Deepfake Video Detection with Enhanced Generalization and Fairness
  189. On the Generalization of Deepfake Detection under Limited Supervision
  190. Multi-domain Multi-scale DeepFake Detection for Generalization
  191. Modality, Not Architecture, Drives Cross-Dataset Generalization in Deepfake Detection: A Zero-Shot Evaluation of CNN and Transformer Detectors on Image and Audio
  192. A Robust Framework for Deepfake Detection Using Advanced Neural Architectures and Generalization Techniques
  193. OST: Improving Generalization of DeepFake Detection Via One-Shot Test-Time Training
  194. Towards Open-world Generalized Deepfake Detection: General Feature Extraction via Unsupervised Domain Adaptation
  195. Deepfake Detection Generalization with Diffusion Noise
  196. A Novel Local Focusing Mechanism for Deepfake Detection Generalization
  197. Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption
  198. Does Audio Deepfake Detection Generalize?
  199. Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges
  200. AuthGuard: Generalizable Deepfake Detection via Language Guidance