Taspinar et al., 2016 - Google Patents
Source camera attribution using stabilized videoTaspinar et al., 2016
View PDF- Document ID
- 972793304525816387
- Author
- Taspinar S
- Mohanty M
- Memon N
- Publication year
- Publication venue
- 2016 IEEE International Workshop on Information Forensics and Security (WIFS)
External Links
Snippet
Although PRNU (Photo Response Non-Uniformity)-based methods have been proposed to verify the source camera of a non-stabilized video, these methods may not be adequate for stabilized videos. The use of video stabilization has been increasing in recent years with the …
- 238000011105 stabilization 0 abstract description 30
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
- H04N5/225—Television cameras; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
- H04N5/232—Devices for controlling television cameras, e.g. remote control; Control of cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in, e.g. mobile phones, computers or vehicles
- H04N5/23219—Control of camera operation based on recognized human faces, facial parts, facial expressions or other parts of the human body
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00711—Recognising video content, e.g. extracting audiovisual features from movies, extracting representative key-frames, discriminating news vs. sport content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/001—Image restoration
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0021—Image watermarking
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Taspinar et al. | Source camera attribution using stabilized video | |
| Al-Sanjary et al. | Detection of video forgery: A review of literature | |
| Liu et al. | Fast burst images denoising | |
| KR101524548B1 (en) | Apparatus and method for alignment of images | |
| Altinisik et al. | Source camera verification for strongly stabilized videos | |
| Hu et al. | Video stabilization using scale-invariant features | |
| Subramanyam et al. | Video forgery detection using HOG features and compression properties | |
| Dong et al. | Video stabilization for strict real-time applications | |
| Zhang et al. | Exposing digital video forgery by ghost shadow artifact | |
| Yang et al. | A fast source camera identification and verification method based on PRNU analysis for use in video forensic investigations | |
| KR102069269B1 (en) | Apparatus and method for stabilizing image | |
| Souza et al. | Digital video stabilization based on adaptive camera trajectory smoothing | |
| Kancherla et al. | Novel blind video forgery detection using markov models on motion residue | |
| Baracchi et al. | Facing image source attribution on iPhone X | |
| Sandhya et al. | A comprehensive analysis of digital video forensics techniques and challenges | |
| Jegaveerapandian et al. | A survey on passive digital video forgery detection techniques. | |
| Gaj et al. | A robust watermarking scheme against frame blending and projection attacks | |
| Montibeller et al. | GPU-accelerated SIFT-aided source identification of stabilized videos | |
| Chen et al. | Eigen-patch: Position-patch based face hallucination using eigen transformation | |
| Bellavia et al. | PRNU pattern alignment for images and videos based on scene content | |
| e Souza et al. | Improvement of global motion estimation in two‐dimensional digital video stabilisation methods | |
| Al-Fehani et al. | Recent advances in digital image and video forensics, anti-forensics and counter anti-forensics | |
| Tang et al. | A fast video stabilization algorithm based on block matching and edge completion | |
| JP6727902B2 (en) | Reference frame generation device, motion estimation device, and program | |
| Mulla et al. | Review of techniques for the detection of passive video forgeries |