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

Peng et al., 2022 - Google Patents

OVQE: Omniscient network for compressed video quality enhancement

Peng et al., 2022

Document ID
10015923687663691078
Author
Peng L
Hamdulla A
Ye M
Li S
Wang Z
Li X
Publication year
Publication venue
IEEE Transactions on Broadcasting

External Links

Snippet

How to use information from temporal, spatial, and frequency domain dimensions is crucial for the quality enhancement of compressed video. The state-of-the-art methods generally design powerful networks to fuse the spatiotemporal information of the videos. But the …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/503—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
    • H04N19/51—Motion estimation or motion compensation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/85—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/40—Scaling the whole image or part thereof
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/63—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • 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

Similar Documents

Publication Publication Date Title
Wang et al. Multi-memory convolutional neural network for video super-resolution
Liu et al. Video super-resolution based on deep learning: a comprehensive survey
Pan et al. Efficient in-loop filtering based on enhanced deep convolutional neural networks for HEVC
Zhu et al. Residual invertible spatio-temporal network for video super-resolution
Yang et al. Scale-free single image deraining via visibility-enhanced recurrent wavelet learning
Wang et al. Contextual transformation network for lightweight remote-sensing image super-resolution
Wu et al. Learned block-based hybrid image compression
Li et al. Learning a deep dual attention network for video super-resolution
Wen et al. Video super-resolution via a spatio-temporal alignment network
Peng et al. OVQE: Omniscient network for compressed video quality enhancement
Chauhan et al. Deep learning-based single-image super-resolution: A comprehensive review
Ding et al. A deep learning approach for quality enhancement of surveillance video
Xu et al. Video dehazing via a multi-range temporal alignment network with physical prior
Ma et al. CVEGAN: a perceptually-inspired gan for compressed video enhancement
Gao et al. Frequency-oriented efficient transformer for all-in-one weather-degraded image restoration
Jin et al. Learned video compression with efficient temporal context learning
Wang et al. Learning a multi-level guided residual network for single image deraining
Chen et al. High-order relational generative adversarial network for video super-resolution
Hu et al. Store and fetch immediately: Everything is all you need for space-time video super-resolution
Yu et al. End-to-end transformer for compressed video quality enhancement
Hu et al. HDVC: Deep Video Compression with Hyperprior-Based Entropy Coding
Jin et al. Post-processing for intra coding through perceptual adversarial learning and progressive refinement
Zhang et al. A codec information assisted framework for efficient compressed video super-resolution
Yue et al. Enhancing space–time video super–resolution via spatial–temporal feature interaction
Choi et al. HiRN: Hierarchical recurrent neural network for video super-resolution (VSR) using two-stage feature evolution