Research papers we have studied

To develop the app, we study leading research papers on plagiarism detection, video processing and perceptual hashing. We have already studied the papers in this list:

  1. White-Box Attacks on PhotoDNA Perceptual Hash Function
  2. Weapons of Mass Deception: Measurement, Governance, and the Residual Population in Hash-Based Interdiction of AI-Driven Abuse Against Women and Children
  3. Digital Fingerprinting on Multimedia: A Survey
  4. Distance distributions and runtime analysis of perceptual hashing algorithms
  5. Beyond Hamming Distance: Exploring spatial encoding in perceptual hashes
  6. Algorithmic content moderation: Technical and political challenges in the automation of platform governance
  7. PHASER: Perceptual hashing algorithms evaluation and results - An open source forensic framework
  8. PDQ & TMK + PDQF -- A Test Drive of Facebook's Perceptual Hashing Algorithms
  9. Discrete Cosine Transform Locality-Sensitive Hashes for Face Retrieval
  10. Research on Robust Image Perceptual Hashing Technology Based on Discrete Cosine Transform
  11. Robust image hashing with dominant DCT coefficients
  12. Lexicographical framework for image hashing with implementation based on DCT and NMF
  13. Perceptual image hashing by exploiting a visual attention model along with discrete wavelet transform and discrete cosine transform
  14. A key-dependent secure image hashing scheme by using Radon transform
  15. Robust image hashing via DCT and LLE
  16. Design and Statistical Analysis of a Hash-Aided Image Watermarking System
  17. Modeling of Image Copyright Protection using Discrete Cosine Transform Hash and Blockchain
  18. Image hashing with color vector angle
  19. Image Matching Based on Two-Column Histogram Hashing and Improved RANSAC
  20. Efficient Image Hashing with Geometric Invariant Vector Distance for Copy Detection
  21. Deep Quantization Network for Efficient Image Retrieval
  22. Rotation, scale and translation invariant spread spectrum digital image watermarking
  23. Compression tolerant DCT based image hash
  24. Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing
  25. Secure and robust color image dual watermarking based on LWT-DCT-SVD
  26. Robust Hashing With Local Tangent Space Alignment for Image Copy Detection
  27. LWT-DCT Based Image Hashing for Tampering Localization via Blind Geometric Correction
  28. One Loss for All: Deep Hashing with a Single Cosine Similarity based\n Learning Objective
  29. Kernelized locality-sensitive hashing for scalable image search
  30. Supervised Hashing for Image Retrieval via Image Representation Learning
  31. Kernelized Locality-Sensitive Hashing
  32. Boosting multi-kernel locality-sensitive hashing for scalable image retrieval
  33. Revisiting kernelized locality-sensitive hashing for improved large-scale image retrieval
  34. Semantic hashing
  35. A Privacy-Preserving and Copy-Deterrence Content-Based Image Retrieval Scheme in Cloud Computing
  36. An efficient parts-based near-duplicate and sub-image retrieval system
  37. Image Retrieval Algorithm Based on Locality-Sensitive Hash Using Convolutional Neural Network and Attention Mechanism
  38. Locality-Sensitive Hashing for Chi2 Distance
  39. Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions
  40. EPCBIR: An efficient and privacy-preserving content-based image retrieval scheme in cloud computing
  41. A Scalable Content-based Image Retrieval Scheme Using Locality-sensitive Hashing
  42. Supervised Matrix Factorization Hashing for Cross-Modal Retrieval
  43. Query adaptative locality sensitive hashing
  44. Unsupervised Visual Hashing with Semantic Assistant for Content-Based Image Retrieval
  45. A Distributed Locality-Sensitive Hashing-Based Approach for Cloud Service Recommendation From Multi-Source Data
  46. Locality sensitive hashing for content based image retrieval: A comparative experimental study
  47. Query expansion for hash-based image object retrieval
  48. Non-Metric Locality-Sensitive Hashing
  49. Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval
  50. Locality-sensitive hashing for the edit distance
  51. Column Sampling Based Discrete Supervised Hashing
  52. Asymmetric Deep Supervised Hashing
  53. A deep locality-sensitive hashing approach for achieving optimal image retrieval satisfaction
  54. Unsupervised Deep Hashing With Pseudo Labels for Scalable Image Retrieval
  55. SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval
  56. Binary Generative Adversarial Networks for Image Retrieval
  57. Query Specific Fusion for Image Retrieval
  58. Weakly supervised locality sensitive hashing for duplicate image retrieval
  59. Geometric min-Hashing: Finding a (thick) needle in a haystack
  60. Learning to hash: forgiving hash functions and applications
  61. Self-Supervised Locality-Sensitive Deep Hashing for the Robust Retrieval of Degraded Images
  62. Efficient logo retrieval through hashing shape context descriptors
  63. Deep Supervised Hashing for Fast Image Retrieval
  64. Deep learning of binary hash codes for fast image retrieval
  65. Deep Multi-View Enhancement Hashing for Image Retrieval
  66. Deep Fuzzy Hashing Network for Efficient Image Retrieval
  67. Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification
  68. Deep Hashing Network for Unsupervised Domain Adaptation
  69. Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval
  70. Scalable Deep Hashing for Large-Scale Social Image Retrieval
  71. Improved Deep Hashing With Soft Pairwise Similarity for Multi-Label Image Retrieval
  72. SSDH: Semi-Supervised Deep Hashing for Large Scale Image Retrieval
  73. Deep Hashing Network for Efficient Similarity Retrieval
  74. Deep hashing image retrieval based on hybrid neural network and optimized metric learning
  75. Deep Incremental Hashing Network for Efficient Image Retrieval
  76. Deep Cross-Modal Hashing
  77. Deep Transfer Hashing for Image Retrieval
  78. Deep balanced discrete hashing for image retrieval
  79. Deep Semantic Multimodal Hashing Network for Scalable Image-Text and Video-Text Retrievals
  80. Simultaneous feature learning and hash coding with deep neural networks
  81. HashFormer: Vision Transformer Based Deep Hashing for Image Retrieval
  82. Deep forest hashing for image retrieval
  83. Deep Cauchy Hashing for Hamming Space Retrieval
  84. Query-Adaptive Image Retrieval by Deep-Weighted Hashing
  85. Deep Self-taught Hashing for Image Retrieval
  86. Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval
  87. Deep Co-Image-Label Hashing for Multi-Label Image Retrieval
  88. Unsupervised Deep Multi-Similarity Hashing With Semantic Structure for Image Retrieval
  89. Deep hashing for multi-label image retrieval: a survey
  90. DiffHash: Text-Guided Targeted Attack via Diffusion Models against Deep Hashing Image Retrieval
  91. Supervised Discrete Hashing
  92. Self-Supervised Video Hashing With Hierarchical Binary Auto-Encoder
  93. Multiple feature hashing for real-time large scale near-duplicate video retrieval
  94. Effective Multiple Feature Hashing for Large-Scale Near-Duplicate Video Retrieval
  95. Stochastic Multiview Hashing for Large-Scale Near-Duplicate Video Retrieval
  96. Deep Supervised Discrete Hashing
  97. Deep Visual-Semantic Hashing for Cross-Modal Retrieval
  98. Learning Binary Hash Codes for Large-Scale Image Search
  99. Neighborhood Preserving Hashing for Scalable Video Retrieval
  100. Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization
  101. Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval
  102. Deep Unsupervised Image Hashing by Maximizing Bit Entropy
  103. Submodular video hashing
  104. Cross-View Retrieval via Probability-Based Semantics-Preserving Hashing
  105. Graph Convolutional Network Hashing for Cross-Modal Retrieval
  106. Dynamic Multi-View Hashing for Online Image Retrieval
  107. Video Retrieval with Similarity-Preserving Deep Temporal Hashing
  108. Self-supervised Video Hashing via Bidirectional Transformers
  109. Online Cross-Modal Hashing for Web Image Retrieval
  110. Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval
  111. A supervised deep convolutional based bidirectional long short term memory video hashing for large scale video retrieval applications
  112. Unsupervised Generative Adversarial Cross-Modal Hashing
  113. A Supervised Video Hashing Method Based on a Deep 3D Convolutional Neural Network for Large-Scale Video Retrieval
  114. Unsupervised Variational Video Hashing With 1D-CNN-LSTM Networks
  115. Face Video Retrieval via Deep Learning of Binary Hash Representations
  116. Dual-Stream Knowledge-Preserving Hashing for Unsupervised Video Retrieval
  117. Unsupervised Deep Video Hashing with Balanced Rotation
  118. Sequential Discrete Hashing for Scalable Cross-Modality Similarity Retrieval
  119. Real-time parallel hashing on the GPU
  120. Content‐Based Image Retrieval and Feature Extraction: A Comprehensive Review
  121. Self-Supervised Temporal Sensitive Hashing for Video Retrieval
  122. Structure-Preserving Video Hashing via Self-Supervised Transformer for Retrieval
  123. Sparse graph based self-supervised hashing for scalable image retrieval
  124. Contrastive Masked Autoencoders for Self-Supervised Video Hashing
  125. Joint Image-Text Hashing for Fast Large-Scale Cross-Media Retrieval Using Self-Supervised Deep Learning
  126. Semantic Structure-based Unsupervised Deep Hashing
  127. CHAIN: Exploring Global-Local Spatio-Temporal Information for Improved Self-Supervised Video Hashing
  128. Supervised Hierarchical Online Hashing for Cross-modal Retrieval
  129. A Review of Hashing Methods for Multimodal Retrieval
  130. Scalable Supervised Discrete Hashing for Large-Scale Search
  131. Multi-Granularity Interactive Transformer Hashing for Cross-modal Retrieval
  132. Efficient Self-Supervised Video Hashing with Selective State Spaces
  133. AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing
  134. Face Detection in Security Monitoring Based on Artificial Intelligence Video Retrieval Technology
  135. Deep Multi-Level Semantic Hashing for Cross-Modal Retrieval
  136. HybridHash: Hybrid Convolutional and Self-Attention Deep Hashing for Image Retrieval
  137. Semantic-Preserving Surgical Video Retrieval With Phase and Behavior Coordinated Hashing
  138. Asymmetric Discrete Graph Hashing
  139. Zero-Shot Hashing via Transferring Supervised Knowledge
  140. Content-Based Video Copy Detection – A Survey
  141. Spatio-temporal features for robust content-based video copy detection
  142. Content-Based Video Copy Detection Benchmarking at TRECVID
  143. A Survey of Content based Video Copy Detection using Big Data
  144. A Robust and Fast Video Copy Detection System Using Content-Based Fingerprinting
  145. Competitive content-based video copy detection using global descriptors
  146. Motion Vector Based Features for Content Based Video Copy Detection
  147. Content-based video copy detection in large databases: a local fingerprints statistical similarity search approach
  148. Local Behaviours Labelling for Content Based Video Copy Detection
  149. Statistical similarity search applied to content-based video copy detection
  150. Content-based video copy detection based on motion vectors estimated using a lower frame rate
  151. Scaling content-based video copy detection to very large databases
  152. A content-based video copy detection method with randomly projected binary features
  153. ViCopT: a robust system for content-based video copy detection in large databases
  154. Recent advances in content based video copy detection
  155. Recent trends in content-based video copy detection
  156. Content-based video copy detection using nearest-neighbor mapping
  157. Content-based video copy detection
  158. Accurate content-based video copy detection with efficient feature indexing
  159. Fast and accurate content-based video copy detection using bag-of-global visual features
  160. Indexing local configurations of features for scalable content-based video copy detection
  161. An efficient content based video copy detection using the sample based hierarchical adaptive k-means clustering
  162. An attack invariant scheme for content-based video copy detection
  163. Continuous Content-Based Copy Detection over Streaming Videos
  164. Content-based Video Copy Detection using Binary Object Fingerprints
  165. Comparison of sequence matching techniques for video copy detection
  166. Content-based video copy detection using discrete wavelet transform
  167. Content-Based Video Copy Detection with Video Signature
  168. P-VCD: A pivot-based approach for Content-Based Video Copy Detection
  169. A novel framework for content-based video copy detection
  170. Shearlet Based Video Fingerprint for Content-Based Copy Detection
  171. Robust voting algorithm based on labels of behavior for video copy detection
  172. Frame Fusion for Video Copy Detection
  173. Efficient and Scalable Content- based Video Copy Detection System
  174. Content based video copy detection with local descriptors
  175. Content based video copy detection using motion vectors
  176. Parallel Implementation Strategy for Content Based Video Copy Detection Using a Multi-core Processor
  177. Content-Based Video Copy Detection Scheme Using Motion Activity and Acoustic Features
  178. Effective and scalable video copy detection
  179. Compact CNN Based Video Representation for Efficient Video Copy Detection
  180. Simple Yet Efficient Content Based Video Copy Detection
  181. A PatchMatch-Based Dense-Field Algorithm for Video Copy–Move Detection and Localization
  182. Video copy-move forgery detection and localization based on Tamura texture features
  183. Video Copy-Detection and Localization with a Scalable Cascading Framework
  184. Video Copy-Move Forgery Detection and Localization Based on Structural Similarity
  185. Pattern-Based Near-Duplicate Video Retrieval and Localization on Web-Scale Videos
  186. Scalable detection of partial near-duplicate videos by visual-temporal consistency
  187. DeepFake Detection for Human Face Images and Videos: A Survey
  188. Deepfakes and beyond: A Survey of face manipulation and fake detection
  189. A passive approach for effective detection and localization of region-level video forgery with spatio-temporal coherence analysis
  190. Deepfake video detection: challenges and opportunities
  191. Compact Video Description for Copy Detection with Precise Temporal Alignment
  192. Copy-move and splicing image forgery detection and localization techniques: a review
  193. Video Similarity and Alignment Learning on Partial Video Copy Detection
  194. Video forgery detection and localization based on 3D patchmatch
  195. Sequential and Patch Analyses for Object Removal Video Forgery Detection and Localization
  196. Spatial Video Forgery Detection and Localization using Texture Analysis of Consecutive Frames
  197. Copy-Move Forgery Detection (CMFD) Using Deep Learning for Image and Video Forensics
  198. A review on robust video copy detection
  199. VISION: a video and image dataset for source identification
  200. A Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection