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. Fast video shot boundary detection framework employing pre-processing techniques
  2. Multi-Modal Visual Features-Based Video Shot Boundary Detection
  3. Automatic video parsing using shot boundary detection and camera operation analysis
  4. A unified scheme of shot boundary detection and anchor shot detection in news video story parsing
  5. Shot boundary detection from videos using entropy and local descriptor
  6. CNN-based shot boundary detection and video annotation
  7. Video shot boundary detection using motion activity descriptor
  8. Video Shot Boundary Detection Using Independent Component Analysis
  9. Video shot boundary detection based on JND color histogram
  10. Information theory-based shot cut/fade detection and video summarization
  11. Shot Boundary Detection in MPEG Videos Using Local and Global Indicators
  12. Evaluation of Automatic Shot Boundary Detection on a Large Video Test Suite
  13. Video Shot Boundary Detection Using QR-Decomposition and Gaussian Transition Detection
  14. A perceptual scheme for fully automatic video shot boundary detection
  15. Video shot boundary detection using block based cumulative approach
  16. Online, simultaneous shot boundary detection and key frame extraction for sports videos using rank tracing
  17. A Genetic Algorithm and Fuzzy Logic Approach for Video Shot Boundary Detection
  18. AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection
  19. A new pyramidal opponent color-shape model based video shot boundary detection
  20. A Comparative Analysis of Video Shot Boundary Detection using Different Approaches
  21. Tensor-Based Shot Boundary Detection in Video Streams
  22. A Video Shot Boundary Detection Approach Based on CNN Feature
  23. Shot boundary detection in video retrieval
  24. Category-Specific Video Summarization
  25. Enhanced Sports Video Shot Boundary Detection Based on Middle Level Features and a Unified Model
  26. Video shot boundary detection based on multi-level features collaboration
  27. VIDEO SHOT BOUNDARY DETECTION USING GENERALIZED EIGENVALUE DECOMPOSITION AND GAUSSIAN TRANSITION DETECTION
  28. Spatial color descriptor for image retrieval and video segmentation
  29. Segmentation of faces in video footage using HSV color for face detection and image retrieval
  30. A video retrieval and sequencing system
  31. Efficient key-frame extraction and video analysis
  32. Object based video retrieval with local region tracking
  33. Spatial analysis in key-frame extraction using video segmentation
  34. X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval
  35. CLIP4Hashing: Unsupervised Deep Hashing for Cross-Modal Video-Text Retrieval
  36. Fine-grained Cross-modal Alignment Network for Text-Video Retrieval
  37. Dual Encoding for Zero-Example Video Retrieval
  38. Dual Encoding for Video Retrieval by Text
  39. T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval
  40. Tencent Text-Video Retrieval: Hierarchical Cross-Modal Interactions With Multi-Level Representations
  41. Adversarial Multi-Grained Embedding Network for Cross-Modal Text-Video Retrieval
  42. Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?
  43. Relation Triplet Construction for Cross-modal Text-to-Video Retrieval
  44. Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval
  45. Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval
  46. C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval
  47. UATVR: Uncertainty-Adaptive Text-Video Retrieval
  48. Forensic detection of median filtering in digital images
  49. Can we trust digital image forensics?
  50. Digital image forensics: a booklet for beginners
  51. A Survey on Digital Camera Image Forensic Methods
  52. A Scaling Robust Copy-Paste Tampering Detection for Digital Image Forensics
  53. Image Tampering Localization Using a Dense Fully Convolutional Network
  54. Image Region Forgery Detection: A Deep Learning Approach
  55. Passive detection of copy-move forgery in digital images: State-of-the-art
  56. A survey of passive technology for digital image forensics
  57. Recent Advances in Digital Multimedia Tampering Detection for Forensics Analysis
  58. A bibliography of pixel-based blind image forgery detection techniques
  59. Pixel-Based Image Forgery Detection: A Review
  60. A hybrid watermark for tamper detection in digital images
  61. Digital image forensics: An affine transform robust copy-paste tampering detection
  62. Detection of copy–move image forgery using histogram of orientated gradients
  63. A robust technique for copy-move forgery detection and localization in digital images via stationary wavelet and discrete cosine transform
  64. Guide to integrating forensic techniques into incident response
  65. Noise Features for Image Tampering Detection and Steganalysis
  66. Detection of Region Duplication Forgery in Digital Images Using SURF
  67. Digital image and video watermarking: methodologies, attacks, applications, and future directions
  68. Passive Detection of Copy-paste Tampering for Digital Image Forensics
  69. A Survey on Image Forgery Detection Using Different Forensic Approaches
  70. A comprehensive survey on image authentication for tamper detection with localization
  71. Survey on passive methods of image tampering detection
  72. Comprehensive analyses of image forgery detection methods from traditional to deep learning approaches: an evaluation
  73. Coarse-to-Fine Copy-Move Forgery Detection for Video Forensics
  74. Employing SVD and Wavelets for Digital Image Forensics and Tampering Detection
  75. Image forgery Detection against Forensic Image Digital Tampering
  76. Digital forensic research: current state of the art
  77. Image tamper detection and self-recovery using multiple median watermarking
  78. A review on copy move image forgery detection techniques
  79. Passive forensics in image and video using noise features: A review
  80. Segmentation-Based Image Copy-Move Forgery Detection Scheme
  81. A deep learning approach to detection of splicing and copy-move forgeries in images
  82. Detection of Copy-Move Forgery in Digital Images Using SIFT Algorithm
  83. Image Copy-Move Forgery Detection Based on SURF
  84. Improved DCT-based detection of copy-move forgery in images
  85. A robust detection algorithm for copy-move forgery in digital images
  86. Passive copy move image forgery detection using undecimated dyadic wavelet transform
  87. An End-to-End Dense-InceptionNet for Image Copy-Move Forgery Detection
  88. Fast and Effective Image Copy-Move Forgery Detection via Hierarchical Feature Point Matching
  89. Detection of copy-move image forgery based on discrete cosine transform
  90. Going deeper into copy-move forgery detection: Exploring image telltales via multi-scale analysis and voting processes
  91. DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization
  92. An efficient expanding block algorithm for image copy-move forgery detection
  93. Image Copy-Move Forgery Detection via an End-to-End Deep Neural Network
  94. A copy-move image forgery detection technique based on tetrolet transform
  95. Fractional Quaternion Zernike Moments for Robust Color Image Copy-Move Forgery Detection
  96. State of the art in passive digital image forgery detection: copy-move image forgery
  97. Fusion of block and keypoints based approaches for effective copy-move image forgery detection
  98. Copy-move forgery detection using image blobs and BRISK feature
  99. Copy-move forgery detection in digital image
  100. Copy-move image forgery detection based on Gabor magnitude
  101. PCET based copy-move forgery detection in images under geometric transforms
  102. DWT-DCT (QCD) based copy-move image forgery detection
  103. DWT-PCA (EVD) Based Copy-move Image Forgery Detection
  104. An integrated technique for splicing and copy-move forgery image detection
  105. Block-based copy–move image forgery detection using DCT
  106. CMFD: a detailed review of block based and key feature based techniques in image copy‐move forgery detection
  107. Survey on Keypoint Based Copy-move Forgery Detection Methods on Image
  108. A copy-move image forgery detection technique based on Gaussian-Hermite moments
  109. A hybrid copy-move image forgery detection technique based on Fourier-Mellin and scale invariant feature transforms
  110. Detection of Copy-Move Forgery in Images Using Segmentation and SURF
  111. An efficient approach for copy-move image forgery detection using convolution neural network
  112. An integrated method of copy-move and splicing for image forgery detection
  113. A new block-based method for copy move forgery detection under image geometric transforms
  114. A Novel Video Inter-frame Forgery Model Detection Scheme Based on Optical Flow Consistency
  115. Inter-frame passive-blind forgery detection for video shot based on similarity analysis
  116. Inter-frame Video Forgery Detection Based on Block-Wise Brightness Variance Descriptor
  117. Inter-frame forgery detection in H.264 videos using motion and brightness gradients
  118. A Digital Forensic Technique for Inter–Frame Video Forgery Detection Based on 3D CNN
  119. Inter-frame video forgery detection and localization using intrinsic effects of double compression on quantization errors of video coding
  120. Video Inter-frame Forgery Detection: A Survey
  121. An Inter-Frame Forgery Detection Algorithm for Surveillance Video
  122. Multiple forgery detection in video using inter-frame correlation distance with dual-threshold
  123. Video Inter-frame Forgery Detection Approach for Surveillance and Mobile Recorded Videos
  124. Inter-frame Forgery Detection for Static-Background Video Based on MVP Consistency
  125. Exposing video inter-frame forgery based on velocity field consistency
  126. A fast forgery frame detection method for video copy-move inter/intra-frame identification
  127. Inter-frame video forgery detection based on multi-level subtraction approach for realistic video forensic applications
  128. Enhancement Digital Forensic Approach for Inter-Frame Video Forgery Detection Using a Deep Learning Technique
  129. Sharp Multiple Instance Learning for DeepFake Video Detection
  130. Exposing video inter-frame forgery by Zernike opponent chromaticity moments and coarseness analysis
  131. CNN spatiotemporal features and fusion for surveillance video forgery detection
  132. Digital video tampering detection: An overview of passive techniques
  133. Passive copy-move forgery detection in videos
  134. Identifying Video Forgery Process Using Optical Flow
  135. A novel video inter-frame forgery detection method based on histogram intersection
  136. Inter‐frame forgery detection and localisation in videos using earth mover's distance metric
  137. Inter-frame video forgery detection using UFS-MSRC algorithm and LSTM network
  138. Exposing video inter-frame forgery via histogram of oriented gradients and motion energy image
  139. A Simple Difference Based Inter Frame Video Forgery Detection and Localization
  140. Forensics and counter anti-forensics of video inter-frame forgery
  141. Dense moment feature index and best match algorithms for video copy-move forgery detection
  142. Dynamic Difference Learning With Spatio–Temporal Correlation for Deepfake Video Detection
  143. Efficient detection of intra/inter-frame video copy-move forgery: A hierarchical coarse-to-fine method
  144. Video inter-frame forgery detection based on CNN and ViT
  145. Detection of Double Compression in MPEG-4 Videos Based on Markov Statistics
  146. Detection of double compression in MPEG-4 videos based on block artifact measurement
  147. Detection of Double Compression for HEVC Videos With Fake Bitrate
  148. Double compression detection based on local motion vector field analysis in static-background videos
  149. Detection of double compression with the same bit rate in MPEG-2 videos
  150. Detection of double compression in HEVC videos based on TU size and quantised DCT coefficients
  151. Detection of Double Compression for HEVC Videos Based on the Co-occurrence Matrix of DCT Coefficients
  152. Double compression detection for H.264 videos with adaptive GOP structure
  153. Tampering detection of double-compression with the same quantization parameter in HEVC video streams
  154. One-Class Double Compression Detection of Advanced Videos Based on Simple Gaussian Distribution Model
  155. Double compression detection in HEVC-coded video with the same coding parameters using picture partitioning information
  156. MPEG Double Compression Based Intra-Frame Video Forgery Detection using CNN
  157. Exposing video forgeries by detecting MPEG double compression
  158. Double Compression Detection in MPEG-4 Videos Based on Block Artifact Measurement with Variation of Prediction Footprint
  159. A Contrario Detection of H.264 Video Double Compression
  160. Double Compression Detection Based on the De-Blocking Filtering of HEVC Videos
  161. Compression noise based video forgery detection
  162. Double JPEG compression forensics based on a convolutional neural network
  163. Video Forgery Detection based on Metadata Analysis and Double Compression
  164. A video forensic technique for detecting frame deletion and insertion
  165. Analysis of Double Compression Detection in a Video
  166. Pixel estimation based video forgery detection
  167. Malicious inter-frame video tampering detection in MPEG videos using time and spatial domain analysis of quantization effects
  168. Subjective and Objective Quality Assessment for Volumetric Video Compression
  169. Digital image forensics
  170. A Leak in PRNU Based Source Identification—Questioning Fingerprint Uniqueness
  171. Beyond PRNU: Learning Robust Device-Specific Fingerprint for Source Camera Identification
  172. PRNU-based Source Camera Identification for Multimedia Forensics
  173. Image Sharpening for Efficient Source Camera Identification Based on Sensor Pattern Noise Estimation
  174. Identifying sensors from fingerprint images
  175. Inference of a compact representation of sensor fingerprint for source camera identification
  176. Improving source camera identification performance using DCT based image frequency components dependent sensor pattern noise extraction method
  177. Digital camera identification using Colour-Decoupled photo response non-uniformity noise pattern
  178. Removing camera fingerprint to disguise photograph source
  179. Factors that Influence PRNU-Based Camera-Identification via Videos
  180. Building fingerprints with information from three color bands for source camera identification
  181. Testing Robustness of Camera Sensor Fingerprint (PRNU) Identification on Smartphones
  182. Sensor Pattern Noise Estimation using Non-textured Video Frames For Efficient Source Smartphone Identification and Verification
  183. Source Camera Device Identification from Videos
  184. Distinguishing Computer-Generated Graphics from Natural Images Based on Sensor Pattern Noise and Deep Learning
  185. Patch-Based Desynchronization of Digital Camera Sensor Fingerprints
  186. Source camera identification using Photo Response Non-Uniformity on WhatsApp
  187. PRNU Estimation based on Weighted Averaging for Source Smartphone Video Identification
  188. A Stress Test for Robustness of Photo Response Nonuniformity (Camera Sensor Fingerprint) Identification on Smartphones
  189. Hybrid reference-based Video Source Identification
  190. Digital Video Source Identification Based on Green-Channel Photo Response Non-Uniformity (G-PRNU)
  191. Novel video camera authentication based on peak to correlation energy of clustered sensor pattern noise
  192. PRNU-Based Content Forgery Localization Augmented With Image Segmentation
  193. Experiencing with electronic image stabilization and PRNU through scene content image registration
  194. Noise Based Deepfake Detection via Multi-Head Relative-Interaction
  195. Compression effects and scene details on the source camera identification of digital videos
  196. Multi-scale segmentation strategies in PRNU-based image tampering localization
  197. Sensor Fingerprints: Camera Identification and Beyond
  198. Decomposed Photo Response Non-Uniformity for Digital Forensic Analysis
  199. Camera model identification based on forensic traces extracted from homogeneous patches
  200. SensorID: Sensor Calibration Fingerprinting for Smartphones