[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Ding et al., 2020 - Google Patents

Detection of motion-compensated frame-rate up-conversion via optical flow-based prediction residue

Ding et al., 2020

Document ID
14457157107868274665
Author
Ding X
Zhang D
Publication year
Publication venue
Optik

External Links

Snippet

To increase the temporal continuity of low frame-rate videos, Motion-Compensated Frame- Rate Up-Conversion (MC-FRUC), which is a special frame based video editing manipulation, can be employed to synthesize new intermediate frame between two …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • 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
    • 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
    • G06K9/00624—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
    • G06T7/20—Analysis of motion
    • 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
    • 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
    • G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
    • 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
    • G06T2207/30168—Image quality inspection
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/14—Picture signal circuitry for video frequency region
    • H04N5/144—Movement detection
    • 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

Similar Documents

Publication Publication Date Title
Liu et al. End-to-End Blind Quality Assessment of Compressed Videos Using Deep Neural Networks.
Narwaria et al. Fourier transform-based scalable image quality measure
Wu et al. Quality assessment for video with degradation along salient trajectories
Ding et al. Identification of motion-compensated frame rate up-conversion based on residual signals
CN117474959B (en) Target object motion trail processing method and system based on video data
CN103037217B (en) The image detected in interpolated image damages
Karaman et al. Comparison of static background segmentation methods
Ding et al. Detection of motion-compensated frame-rate up-conversion via optical flow-based prediction residue
Yao et al. Detecting video frame-rate up-conversion based on periodic properties of edge-intensity
US11611773B2 (en) System of video steganalysis and a method for the detection of covert communications
JP2005528708A (en) Unit and method for estimating current motion vector
Ding et al. Forgery detection of motion compensation interpolated frames based on discontinuity of optical flow
US20110085026A1 (en) Detection method and detection system of moving object
Tu et al. Efficient user-generated video quality prediction
US20110216831A1 (en) Apparatus and method for motion vector filtering based on local image segmentation and lattice maps
Manap et al. PATCH-IQ: a patch based learning framework for blind image quality assessment
Yoon et al. Frame-rate up-conversion detection based on convolutional neural network for learning spatiotemporal features
Chang et al. A passive multi-purpose scheme based on periodicity analysis of CFA artifacts for image forensics
Mullan et al. Residual-based forensic comparison of video sequences
Tasdemir et al. Video steganalysis of LSB based motion vector steganography
Ding et al. Detection of motion compensated frame interpolation via motion-aligned temporal difference
CN102292724B (en) Matching weighting information extracting device
Ding et al. Detection of deep video frame interpolation via learning dual-stream fusion CNN in the compression domain
JP2014110020A (en) Image processor, image processing method and image processing program
Peng et al. An efficient temporal distortion measure of videos based on spacetime texture