Li, Y.[Yang],
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Lu, J.H.[Jian-Hua],
Hybrid model-and-object-based real-time conversational video coding,
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Elsevier DOI
1506
Model-based video coding
BibRef
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Motion estimation using learning automata,
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Springer DOI
1610
BibRef
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Elsevier DOI
1609
BibRef
Earlier: A2, A1, A3, A4:
Image Saliency Detection with Sparse Representation of Learnt Texture
Atoms,
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IEEE DOI
1602
Visual attention
Databases
BibRef
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Learning to Detect Video Saliency With HEVC Features,
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1612
computer vision
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CirSysVideo(30), No. 2, February 2020, pp. 566-576.
IEEE DOI
2002
Image coding, Video compression, Spatiotemporal phenomena,
Image reconstruction, Transform coding, Codecs, Video coding,
PixelMotionCNN
BibRef
Yeh, C.H.[Chia-Hung],
Kang, L.W.[Li-Wei],
Chiou, Y.W.[Yi-Wen],
Lin, C.W.[Chia-Wen],
Jiang, S.J.F.[Shu-Jhen Fan],
Self-learning-based post-processing for image/video deblocking via
sparse representation,
JVCIR(25), No. 5, 2014, pp. 891-903.
Elsevier DOI
1406
BibRef
Earlier: A3, A1, A2, A4, A5:
Efficient image/video deblocking via sparse representation,
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IEEE DOI
1302
Blocking artifact
BibRef
Kang, L.W.,
Hsu, C.C.,
Zhuang, B.,
Lin, C.W.,
Yeh, C.H.,
Learning-Based Joint Super-Resolution and Deblocking for a Highly
Compressed Image,
MultMed(17), No. 7, July 2015, pp. 921-934.
IEEE DOI
1506
Dictionaries
BibRef
Zhang, B.C.[Bao-Chang],
Gu, J.X.[Jia-Xin],
Chen, C.[Chen],
Han, J.G.[Jun-Gong],
Su, X.B.[Xiang-Bo],
Cao, X.B.[Xian-Bin],
Liu, J.Z.[Jian-Zhuang],
One-two-one networks for compression artifacts reduction in remote
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PandRS(145), 2018, pp. 184-196.
Elsevier DOI
1810
Compression artifacts reduction, Remote sensing, Deep learning,
One-two-one network
BibRef
Wang, M.,
Xie, W.,
Meng, X.,
Zeng, H.,
Ngan, K.N.,
UHD Video Coding: A Light-Weight Learning-Based Fast Super-Block
Approach,
CirSysVideo(29), No. 10, October 2019, pp. 3083-3094.
IEEE DOI
1910
data compression, high definition video, image colour analysis,
image resolution, image texture, video coding, medium coding unit, HEVC
BibRef
Yu, L.W.[Liang-Wei],
Shen, L.Q.[Li-Quan],
Yang, H.[Hao],
Wang, L.[Lu],
An, P.[Ping],
Quality Enhancement Network via Multi-Reconstruction Recursive
Residual Learning for Video Coding,
SPLetters(26), No. 4, April 2019, pp. 557-561.
IEEE DOI
1903
Image reconstruction, Feature extraction, Training, Image coding,
Encoding, Periodic structures, Compression algorithms,
quality enhancement
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Liu, Y.[Ying],
Tountas, K.[Konstantinos],
Pados, D.A.[Dimitris A.],
Batalama, S.N.[Stella N.],
Medley, M.J.[Michael J.],
L1-Subspace Tracking for Streaming Data,
PR(97), 2020, pp. 106992.
Elsevier DOI
1910
Dimensionality reduction, Eigenvector decomposition,
Internet-of-Things, -norm, Outliers, Subspace learning
BibRef
Liao, L.[Liang],
Xiao, J.[Jing],
Li, Y.T.[Ya-Ting],
Wang, M.[Mi],
Hu, R.M.[Rui-Min],
Learned Representation of Satellite Image Series for Data Compression,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
Long term background redundancy.
BibRef
Klopp, J.P.[Jan P.],
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Chien, S.Y.[Shao-Yi],
Utilising Low Complexity CNNs to Lift Non-Local Redundancies in Video
Coding,
IP(29), 2020, pp. 6372-6385.
IEEE DOI
2006
Image coding, Redundancy, Decoding, Neural networks,
Complexity theory, Video codecs, Noise reduction, Video coding,
machine learning
BibRef
Paul, S.,
Norkin, A.,
Bovik, A.C.,
Speeding Up VP9 Intra Encoder With Hierarchical Deep Learning-Based
Partition Prediction,
IP(29), 2020, pp. 8134-8148.
IEEE DOI
2008
Machine learning, Image coding, Databases, Encoding, Video coding,
Task analysis, Video codecs, VP9, video encoding, block partitioning,
machine learning
BibRef
Huang, C.[Chao],
Peng, Z.J.[Zong-Ju],
Xu, Y.[Yong],
Chen, F.[Fen],
Jiang, Q.P.[Qiu-Ping],
Zhang, Y.[Yun],
Jiang, G.Y.[Gang-Yi],
Ho, Y.S.[Yo-Sung],
Online Learning-Based Multi-Stage Complexity Control for Live Video
Coding,
IP(30), 2021, pp. 641-656.
IEEE DOI
2012
Complexity allocation, complexity control,
high efficiency video coding, online learning, random forest
BibRef
Chen, T.,
Liu, H.,
Ma, Z.,
Shen, Q.,
Cao, X.,
Wang, Y.,
End-to-End Learnt Image Compression via Non-Local Attention
Optimization and Improved Context Modeling,
IP(30), 2021, pp. 3179-3191.
IEEE DOI
2103
Image coding, Context modeling,
Transforms, Transform coding, Correlation, Complexity theory,
variable-rate model
BibRef
Ding, D.D.[Dan-Dan],
Kong, L.[Lingyi],
Wang, W.Y.[Wen-Yu],
Zhu, F.Q.[Feng-Qing],
A progressive CNN in-loop filtering approach for inter frame coding,
SP:IC(94), 2021, pp. 116201.
Elsevier DOI
2104
CNN, In-loop filtering, Model training, Inter coding
BibRef
Liu, H.J.[Hao-Jie],
Lu, M.[Ming],
Ma, Z.[Zhan],
Wang, F.[Fan],
Xie, Z.H.[Zhi-Huang],
Cao, X.[Xun],
Wang, Y.[Yao],
Neural Video Coding Using Multiscale Motion Compensation and
Spatiotemporal Context Model,
CirSysVideo(31), No. 8, August 2021, pp. 3182-3196.
IEEE DOI
2108
Video coding, Motion compensation, Encoding, Bit rate, Decoding,
Image coding, Spatiotemporal phenomena, Neural video coding,
temporal error propagation
BibRef
Ding, D.D.[Dan-Dan],
Ma, Z.[Zhan],
Chen, D.[Di],
Chen, Q.S.[Qing-Shuang],
Liu, Z.[Zoe],
Zhu, F.Q.[Feng-Qing],
Advances in Video Compression System Using Deep Neural Network:
A Review and Case Studies,
PIEEE(109), No. 9, September 2021, pp. 1494-1520.
IEEE DOI
2108
Encoding, Video compression, Video coding, Streaming media,
Visualization, Quality of experience, Spatiotemporal phenomena,
texture analysis
BibRef
Chen, T.[Tong],
Liu, H.J.[Hao-Jie],
Shen, Q.[Qiu],
Yue, T.[Tao],
Cao, X.[Xun],
Ma, Z.[Zhan],
DeepCoder: A deep neural network based video compression,
VCIP17(1-4)
IEEE DOI
1804
Huffman codes, convolution, data compression,
feedforward neural nets, video coding,
video compression
BibRef
Lu, G.[Guo],
Zhang, X.Y.[Xiao-Yun],
Ouyang, W.L.[Wan-Li],
Chen, L.[Li],
Gao, Z.Y.[Zhi-Yong],
Xu, D.[Dong],
An End-to-End Learning Framework for Video Compression,
PAMI(43), No. 10, October 2021, pp. 3292-3308.
IEEE DOI
2109
Image coding, Video compression, Optical imaging,
Motion estimation, Optical distortion, Estimation, Adaptive optics,
image compression
BibRef
Tian, Y.[Yuan],
Lu, G.[Guo],
Yan, Y.C.[Yi-Chao],
Zhai, G.T.[Guang-Tao],
Chen, L.[Li],
Gao, Z.Y.[Zhi-Yong],
A Coding Framework and Benchmark Towards Low-Bitrate Video
Understanding,
PAMI(46), No. 8, August 2024, pp. 5852-5872.
IEEE DOI
2407
Task analysis, Semantics, Codecs, Image coding, Encoding, Streams,
Video coding, Action recognition, contrastive learning,
video object segmentation
BibRef
Lu, G.[Guo],
Ouyang, W.L.[Wan-Li],
Xu, D.[Dong],
Zhang, X.Y.[Xiao-Yun],
Cai, C.L.[Chun-Lei],
Gao, Z.Y.[Zhi-Yong],
DVC: An End-To-End Deep Video Compression Framework,
CVPR19(10998-11007).
IEEE DOI
2002
BibRef
Akbari, M.[Mohammad],
Liang, J.[Jie],
Han, J.N.[Jing-Ning],
Tu, C.J.[Cheng-Jie],
Learned Multi-Resolution Variable-Rate Image Compression With
Octave-Based Residual Blocks,
MultMed(23), 2021, pp. 3013-3021.
IEEE DOI
2109
Image coding, Decoding, Convolutional codes, Transforms, Codecs,
Image reconstruction, Linear programming, Deep learning, variable-rate
BibRef
Zhang, F.[Fan],
Ma, D.[Di],
Feng, C.[Chen],
Bull, D.R.[David R.],
Video Compression With CNN-Based Postprocessing,
MultMedMag(28), No. 4, October 2021, pp. 74-83.
IEEE DOI
2112
Encoding, Training, Generators, Image coding, Convolutional codes,
Video compression, Tools
BibRef
Karaca, A.C.[Ali Can],
Kara, O.[Ozan],
Güllü, M.K.[Mehmet Kemal],
MultiTempGAN: Multitemporal multispectral image compression framework
using generative adversarial networks,
JVCIR(81), 2021, pp. 103385.
Elsevier DOI
2112
Multispectral image compression,
Generative adversarial networks, Big data, Remote sensing,
Multitemporal images
BibRef
Ding, D.D.[Dan-Dan],
Gao, X.[Xiang],
Tang, C.[Chenran],
Ma, Z.[Zhan],
Neural Reference Synthesis for Inter Frame Coding,
IP(31), 2022, pp. 773-787.
IEEE DOI
2201
Image coding, Image reconstruction, Training, Encoding,
Quantization (signal), Correlation,
neural reference synthesis
BibRef
Chen, M.X.[Mei-Xu],
Goodall, T.[Todd],
Patney, A.[Anjul],
Bovik, A.C.[Alan C.],
Learning to compress videos without computing motion,
SP:IC(103), 2022, pp. 116633.
Elsevier DOI
2203
Video compression, Deep learning, Motion
BibRef
Ma, D.[Di],
Zhang, F.[Fan],
Bull, D.R.[David R.],
BVI-DVC: A Training Database for Deep Video Compression,
MultMed(24), 2022, pp. 3847-3858.
IEEE DOI
2208
Databases, Training, Spatial resolution, Encoding, Spatial databases,
Standards, Video compression, Video database, BVI-DVC, CNN training,
video compression
BibRef
Ji, R.[Ruolei],
Karam, L.J.[Lina J.],
Learning-based Visual Compression,
FTCGV(15), No. 1, 2023, pp. 1-112.
DOI Link
2302
Survey, Compression.
BibRef
Jin, D.C.[Deng-Chao],
Lei, J.J.[Jian-Jun],
Peng, B.[Bo],
Pan, Z.Q.[Zhao-Qing],
Li, L.[Li],
Ling, N.[Nam],
Learned Video Compression With Efficient Temporal Context Learning,
IP(32), 2023, pp. 3188-3198.
IEEE DOI
2306
Image coding, Video compression, Transforms, Codecs,
Quantization (signal), Video coding, Motion compensation, TCVC-Net
BibRef
Sheng, X.H.[Xi-Hua],
Li, J.H.[Jia-Hao],
Li, B.[Bin],
Li, L.[Li],
Liu, D.[Dong],
Lu, Y.[Yan],
Temporal Context Mining for Learned Video Compression,
MultMed(25), 2023, pp. 7311-7322.
IEEE DOI
2311
BibRef
Lin, K.[Kai],
Jia, C.M.[Chuan-Min],
Zhang, X.F.[Xin-Feng],
Wang, S.S.[Shan-She],
Ma, S.W.[Si-Wei],
Gao, W.[Wen],
DMVC: Decomposed Motion Modeling for Learned Video Compression,
CirSysVideo(33), No. 7, July 2023, pp. 3502-3515.
IEEE DOI
2307
Image coding, Spatiotemporal phenomena, Image reconstruction,
Encoding, Video coding, Redundancy, Entropy, Video coding,
motion compensation
BibRef
Guo, Z.Y.[Zong-Yu],
Feng, R.[Runsen],
Zhang, Z.Z.[Zhi-Zheng],
Jin, X.[Xin],
Chen, Z.B.[Zhi-Bo],
Learning Cross-Scale Weighted Prediction for Efficient Neural Video
Compression,
IP(32), 2023, pp. 3567-3579.
IEEE DOI
2307
Image coding, Video codecs, Predictive models, Video compression,
Standards, Quantization (signal), Decoding, Video compression,
quantization
BibRef
Yang, R.[Ruihan],
Yang, Y.[Yibo],
Marino, J.[Joseph],
Mandt, S.[Stephan],
Insights From Generative Modeling for Neural Video Compression,
PAMI(45), No. 8, August 2023, pp. 9908-9921.
IEEE DOI
2307
Transforms, Video compression, Data models, Image coding,
Predictive coding, Streaming media, Rate-distortion,
video compression
BibRef
Gao, X.Y.[Xin-Yu],
Mou, J.[Jun],
Banerjee, S.[Santo],
Zhang, Y.S.[Yu-Shu],
Color-Gray Multi-Image Hybrid Compression-Encryption Scheme Based on
BP Neural Network and Knight Tour,
Cyber(53), No. 8, August 2023, pp. 5037-5047.
IEEE DOI
2307
Image coding, Encryption, Gray-scale, Image color analysis,
Heuristic algorithms, Color, Neural network compression, multi-image (MI)
BibRef
Nami, S.[Sanaz],
Pakdaman, F.[Farhad],
Hashemi, M.R.[Mahmoud Reza],
Shirmohammadi, S.[Shervin],
BL-JUNIPER: A CNN-Assisted Framework for Perceptual Video Coding
Leveraging Block-Level JND,
MultMed(25), 2023, pp. 5077-5092.
IEEE DOI
2311
BibRef
Yi, X.K.[Xiao-Kai],
Wang, H.L.[Han-Li],
Kwong, S.[Sam],
Kuo, C.C.J.[C.C. Jay],
Task-Driven Video Compression for Humans and Machines:
Framework Design and Optimization,
MultMed(25), 2023, pp. 8091-8102.
IEEE DOI
2312
BibRef
Wang, H.R.[Huai-Rui],
Chen, Z.Z.[Zhen-Zhong],
Exploring Long- and Short-Range Temporal Information for Learned
Video Compression,
IP(33), 2024, pp. 780-792.
IEEE DOI Code:
WWW Link.
2402
Image coding, Video compression, Motion compensation, Entropy,
Transforms, Optical flow, Correlation, Learned video compression,
progressive guided compensation
BibRef
Wang, H.R.[Huai-Rui],
Chen, Z.Z.[Zhen-Zhong],
Chen, C.W.[Chang Wen],
Learned Video Compression via Heterogeneous Deformable Compensation
Network,
MultMed(26), 2024, pp. 1855-1866.
IEEE DOI
2402
Video compression, Kernel, Image coding, Convolution,
Feature extraction, Optical flow, Motion estimation,
multi-frame enhancement
BibRef
Guo, H.F.[Hai-Feng],
Kwong, S.[Sam],
Ye, D.J.[Dong-Jie],
Wang, S.Q.[Shi-Qi],
Enhanced Context Mining and Filtering for Learned Video Compression,
MultMed(26), 2024, pp. 3814-3826.
IEEE DOI
2402
Video compression, Context modeling, Transformers, Image coding,
Entropy, Filtering, Codes, Learned video compression,
in loop filtering
BibRef
Chen, M.J.[Mu-Jung],
Chen, Y.H.[Yi-Hsin],
Peng, W.H.[Wen-Hsiao],
B-CANF: Adaptive B-Frame Coding With Conditional Augmented
Normalizing Flows,
CirSysVideo(34), No. 4, April 2024, pp. 2908-2921.
IEEE DOI
2404
Image coding, Encoding, Codecs, Transforms, Adaptive coding, Decoding,
Video compression, Neural video coding, conditional coding, B-frame coding
BibRef
Ho, Y.H.[Yung-Han],
Chang, C.P.[Chih-Peng],
Chen, P.Y.[Peng-Yu],
Gnutti, A.[Alessandro],
Peng, W.H.[Wen-Hsiao],
CANF-VC: Conditional Augmented Normalizing Flows for Video Compression,
ECCV22(XVI:207-223).
Springer DOI
2211
BibRef
Ho, Y.H.[Yung-Han],
Chan, C.C.[Chih-Chun],
Peng, W.H.[Wen-Hsiao],
Hang, H.M.[Hsueh-Ming],
End-to-End Learned Image Compression with Augmented Normalizing Flows,
CLIC21(1931-1935)
IEEE DOI
2109
Image coding, Stacking, Low-pass filters, Transforms, Predictive models
BibRef
Ma, W.[Wufei],
Li, J.H.[Jia-Hao],
Li, B.[Bin],
Lu, Y.[Yan],
Uncertainty-Aware Deep Video Compression With Ensembles,
MultMed(26), 2024, pp. 7863-7872.
IEEE DOI
2405
Uncertainty, Predictive models, Video compression, Decoding, Vectors,
Optical flow, Quantization (signal), Deep video compression, uncertainty
BibRef
Zhang, Z.B.[Zhao-Bin],
Esenlik, S.[Semih],
Wu, Y.J.[Yao-Jun],
Wang, M.[Meng],
Zhang, K.[Kai],
Zhang, L.[Li],
End-to-End Learning-Based Image Compression With a Decoupled
Framework,
CirSysVideo(34), No. 5, May 2024, pp. 3067-3081.
IEEE DOI
2405
Decoding, Image coding, Entropy, Image reconstruction, Arithmetic,
Standards, Transforms, Decoupled, end-to-end, IEEE 1857.11,
wavefront
BibRef
Zhang, Z.B.[Zhao-Bin],
Li, Y.[Yue],
Zhang, K.[Kai],
Zhang, L.[Li],
He, Y.[Yuwen],
Learning-Based End-to-End Video Compression with Spatial-Temporal
Adaptation,
ICIP22(2821-2825)
IEEE DOI
2211
Interpolation, Image coding, Correlation, Redundancy,
Rate-distortion, Switches, Video compression, frame extrapolation
BibRef
Jia, C.M.[Chuan-Min],
Ye, F.[Feng],
Dong, F.[Fanke],
Lin, K.[Kai],
Chiariglione, L.[Leonardo],
Ma, S.W.[Si-Wei],
Sun, H.F.[Hui-Fang],
Gao, W.[Wen],
MPAI-EEV: Standardization Efforts of Artificial Intelligence Based
End-to-End Video Coding,
CirSysVideo(34), No. 5, May 2024, pp. 3096-3110.
IEEE DOI
2405
Encoding, Video coding, Standards, Artificial intelligence,
Artificial neural networks, Image coding, Video compression, drone video
BibRef
Xu, C.[Chenming],
Liu, M.[Meiqin],
Yao, C.[Chao],
Lin, W.S.[Wei-Si],
Zhao, Y.[Yao],
IBVC: Interpolation-driven B-frame video compression,
PR(153), 2024, pp. 110465.
Elsevier DOI Code:
WWW Link.
2405
Learned video compression, Video frame interpolation,
Artifact reduction, Bi-directional motion compensation
BibRef
Xia, G.Y.[Gui-Yu],
Ye, W.K.[Wen-Kai],
Xue, P.[Peng],
Sun, Y.[Yubao],
Liu, Q.S.[Qing-Shan],
Motion Compression Using Structurally Connected Neural Network,
CirSysVideo(34), No. 6, June 2024, pp. 4299-4310.
IEEE DOI
2406
Skeleton, Correlation, Data models, Principal component analysis,
Neurons, Artificial neural networks, Dimensionality reduction,
human skeleton
BibRef
Sheng, X.[Xihua],
Li, L.[Li],
Liu, D.[Dong],
Li, H.Q.[Hou-Qiang],
Spatial Decomposition and Temporal Fusion Based Inter Prediction for
Learned Video Compression,
CirSysVideo(34), No. 7, July 2024, pp. 6460-6473.
IEEE DOI
2407
Image coding, Video compression, Context modeling, Entropy, Video codecs,
Wavelet transforms, Decoding, Inter prediction, temporal fusion
BibRef
Yang, G.N.[Gong-Ning],
Wei, X.J.[Xiao-Jie],
Lin, H.B.[Hong-Bin],
Multi-Scale Motion Alignment and Frame Reconstruction for Efficient
Deep Video Compression,
SPLetters(31), 2024, pp. 2125-2129.
IEEE DOI
2409
Convolution, Decoding, Motion compensation, Video compression,
Feature extraction, Encoding, Video codecs, Deep video compression, video coding
BibRef
Wu, K.[Kejun],
Li, Z.X.[Zhen-Xing],
Yang, Y.[You],
Liu, Q.[Qiong],
Deep video compression based on Long-range Temporal Context Learning,
CVIU(248), 2024, pp. 104127.
Elsevier DOI
2409
Deep learning, Video compression, Computational photography,
Temporal context learning
BibRef
Zhang, C.H.[Chen-Hao],
Gao, W.[Wei],
Learned Rate Control for Frame-level Adaptive Neural Video Compression
via Dynamic Neural Network,
ECCV24(LXXXV: 239-255).
Springer DOI
2412
BibRef
Oh, S.J.[Seung-Jun],
Yang, H.[Hyunmo],
Park, E.[Eunbyung],
Parameter-Efficient Instance-adaptive Neural Video Compression,
ACCV24(III: 294-311).
Springer DOI
2412
BibRef
Tarchouli, M.[Marwa],
Guionnet, T.[Thomas],
Riviere, M.[Marc],
Hamidouche, W.[Wassim],
Outtas, M.[Meriem],
Deforges, O.[Olivier],
Res-NeRV: Residual Blocks for a Practical Implicit Neural Video
Decoder,
ICIP24(3751-3757)
IEEE DOI
2411
For reconstructing details. NeRV.
Image coding, Quantization (signal), Pipelines, Rate-distortion,
Streaming media, Decoding, Video Compression
BibRef
Liu, D.[Du],
Ström, J.[Jacob],
Damghanian, M.[Mitra],
Wennersten, P.[Per],
NN-Based In-Loop Filtering with Inputs Transformed,
ICIP24(3737-3743)
IEEE DOI
2411
Video coding, Filters, Artificial neural networks, Transforms,
Complexity theory, Discrete cosine transforms, NNVC
BibRef
Zhang, H.L.[Hong-Lei],
Ahonen, J.I.[Jukka I.],
Le, N.[Nam],
Yang, R.Y.[Rui-Ying],
Cricri, F.[Francesco],
Competitive Learning for Achieving Content-Specific Filters in Video
Coding for Machines,
ICIP24(1877-1882)
IEEE DOI
2411
Training, Video coding, Filters, Codecs, Competitive learning,
Simulated annealing, Object detection, video coding for machines,
competetive learning
BibRef
Yang, M.Y.[Ming-Yi],
Mao, X.[Xionghui],
Yin, Y.J.[Yu-Jie],
Zhu, Z.W.[Zhi-Wei],
Wang, D.[Defa],
Wan, S.[Shuai],
Yang, F.Z.[Fu-Zheng],
Learning-Based Video Compression with Continuously Variable Bitrate
Coding,
ICIP24(3723-3729)
IEEE DOI
2411
Training, Adaptation models, Image coding, Codecs, Bit rate,
Rate-distortion, Video compression, Deep learning,
ROI-based compression
BibRef
Ge, X.T.[Xing-Tong],
Luo, J.X.[Ji-Xiang],
Zhang, X.J.[Xin-Jie],
Xu, T.[Tongda],
Lu, G.[Guo],
He, D.[Dailan],
Geng, J.[Jing],
Wang, Y.[Yan],
Zhang, J.[Jun],
Qin, H.W.[Hong-Wei],
Task-Aware Encoder Control for Deep Video Compression,
CVPR24(26036-26045)
IEEE DOI
2410
Video coding, Training, Machine vision, Pipelines, Video compression,
Encoding, Decoding, video compression, machine vision
BibRef
Li, J.H.[Jia-Hao],
Li, B.[Bin],
Lu, Y.[Yan],
Neural Video Compression with Feature Modulation,
CVPR24(26099-26108)
IEEE DOI Code:
WWW Link.
2410
Training, Quantization (signal), Codes, Bit rate, Modulation,
Video compression, Neural video compression
BibRef
Relic, L.[Lucas],
Azevedo, R.[Roberto],
Gross, M.[Markus],
Schroers, C.[Christopher],
Lossy Image Compression with Foundation Diffusion Models,
ECCV24(LXI: 303-319).
Springer DOI
2412
BibRef
Saethre, J.E.[Jens Eirik],
Azevedo, R.[Roberto],
Schroers, C.[Christopher],
Combining Frame and GOP Embeddings for Neural Video Representation,
CVPR24(9253-9263)
IEEE DOI
2410
Training, Estimation, Rate distortion theory, Computer architecture,
Video compression, Distortion, Entropy-Constrained Training
BibRef
Kim, H.[Hyunjik],
Bauer, M.[Matthias],
Theis, L.[Lucas],
Schwarz, J.R.[Jonathan Richard],
Dupont, E.[Emilien],
C3: High-Performance and Low-Complexity Neural Compression from a
Single Image or Video,
CVPR24(9347-9358)
IEEE DOI
2410
Image coding, Rate-distortion, Benchmark testing,
Video compression, Transformers, Decoding, Complexity theory
BibRef
Tang, L.[Lv],
Zhang, X.F.[Xin-Feng],
Zhang, G.[Gai],
Ma, X.Q.[Xiao-Qi],
Scene Matters: Model-based Deep Video Compression,
ICCV23(12447-12457)
IEEE DOI
2401
BibRef
Wang, Y.M.[Yi-Ming],
Huang, Q.[Qian],
Tang, B.[Bin],
Sun, H.[Huashan],
Guo, X.T.[Xiao-Tong],
FGC-VC: Flow-Guided Context Video Compression,
ICIP23(3175-3179)
IEEE DOI
2312
BibRef
Ramsook, D.[Darren],
Kokaram, A.[Anil],
Learnt Deep Hyperparameter Selection in Adversarial Training for
Compressed Video Enhancement with a Perceptual Critic,
ICIP23(2420-2424)
IEEE DOI
2312
BibRef
Li, J.H.[Jia-Hao],
Li, B.[Bin],
Lu, Y.[Yan],
Neural Video Compression with Diverse Contexts,
CVPR23(22616-22626)
IEEE DOI
2309
BibRef
Hu, Z.H.[Zhi-Hao],
Xu, D.[Dong],
Complexity-guided Slimmable Decoder for Efficient Deep Video
Compression,
CVPR23(14358-14367)
IEEE DOI
2309
BibRef
Qi, L.F.[Lin-Feng],
Li, J.H.[Jia-Hao],
Li, B.[Bin],
Li, H.Q.[Hou-Qiang],
Lu, Y.[Yan],
Motion Information Propagation for Neural Video Compression,
CVPR23(6111-6120)
IEEE DOI
2309
BibRef
Mital, N.[Nitish],
Özyilkan, E.[Ezgi],
Garjani, A.[Ali],
Gündüz, D.[Deniz],
Neural Distributed Image Compression with Cross-Attention Feature
Alignment,
WACV23(2497-2506)
IEEE DOI
2302
Correlated image avaliable on decoder side.
Image coding, Source coding, Pipelines, Neural networks, Transforms,
Cameras, Entropy coding
BibRef
Shi, Y.[Yibo],
Ge, Y.Y.[Yun-Ying],
Wang, J.[Jing],
Mao, J.[Jue],
AlphaVC: High-Performance and Efficient Learned Video Compression,
ECCV22(XIX:616-631).
Springer DOI
2211
BibRef
Brand, F.[Fabian],
Seiler, J.[Jürgen],
Kaup, A.[André],
P-Frame Coding with Generalized Difference:
A Novel Conditional Coding Approach,
ICIP22(1266-1270)
IEEE DOI
2211
Image coding, Redundancy, Transform coding, Focusing, Switches,
Video compression, Complexity theory, Video Compression,
Deep Learning
BibRef
Liu, C.[Chao],
Sun, H.M.[He-Ming],
Zeng, X.Y.[Xiao-Yang],
Fan, Y.[Yibo],
Learned Video Compression With Residual Prediction And Feature-Aided
Loop Filter,
ICIP22(1321-1325)
IEEE DOI
2211
Image coding, Redundancy, Video compression, Predictive models,
Motion compensation, Complexity theory, Decoding, residual prediction
BibRef
Said, A.[Amir],
Pourreza, R.[Reza],
Le, H.[Hoang],
Optimized Learned Entropy Coding Parameters for Practical
Neural-Based Image and Video Compression,
ICIP22(661-665)
IEEE DOI
2211
Quantization (signal), Image coding, Codes, Redundancy,
Memory management, Video compression, Minimization, entropy coding
BibRef
Wang, H.R.[Huai-Rui],
Ren, G.J.[Guang-Jie],
Ouyang, T.[Tong],
Zhang, J.X.[Jun-Xi],
Han, W.W.[Wen-Wei],
Liu, Z.Z.[Zi-Zheng],
Chen, Z.Z.[Zhen-Zhong],
Perceptual in-Loop Filter for Image and Video Compression,
CLIC22(1769-1772)
IEEE DOI
2210
Visualization, Image coding, Focusing,
Video compression, Generative adversarial networks
BibRef
Lu, G.[Guo],
Zhong, T.X.[Tian-Xiong],
Geng, J.[Jing],
Hu, Q.A.[Qi-Ang],
Xu, D.[Dong],
Learning based Multi-modality Image and Video Compression,
CVPR22(6073-6082)
IEEE DOI
2210
Visualization, Image coding, Correlation, Redundancy, Transforms,
Video compression, Low-level vision, 3D from multi-view and sensors
BibRef
Sigger, N.[Neetu],
Al-Jawed, N.[Naseer],
Nguyen, T.[Tuan],
Spatial-Temporal Autoencoder with Attention Network for Video
Compression,
CIAP22(III:290-300).
Springer DOI
2205
BibRef
Liu, J.M.[Jia-Ming],
Lu, M.[Ming],
Chen, K.X.[Kai-Xin],
Li, X.Q.[Xiao-Qi],
Wang, S.Z.[Shi-Zun],
Wang, Z.Q.[Zhao-Qing],
Wu, E.[Enhua],
Chen, Y.R.[Yu-Rong],
Zhang, C.[Chuang],
Wu, M.[Ming],
Overfitting the Data:
Compact Neural Video Delivery via Content-aware Feature Modulation,
ICCV21(4611-4620)
IEEE DOI
2203
Training, Video coding, Neural networks, Modulation, Streaming media,
Explosions, Internet, Low-level and physics-based vision,
Vision applications and systems
BibRef
Xu, Y.[Yi],
Zhao, M.[Minyi],
Liu, J.[Jing],
Zhang, X.J.[Xin-Jian],
Gao, L.[Longwen],
Zhou, S.[Shuigeng],
Sun, H.Y.[Hu-Yang],
Boosting the Performance of Video Compression Artifact Reduction with
Reference Frame Proposals and Frequency Domain Information,
NTIRE21(213-222)
IEEE DOI
2109
Deep learning, Frequency-domain analysis,
Video compression, Boosting, Spatiotemporal phenomena
BibRef
Peng, W.H.,
Hang, H.M.,
Recent Advances in End-to-End Learned Image and Video Compression,
VCIP20(1-2)
IEEE DOI
2102
Image coding, Transform coding, Standards, Video compression,
Streaming media, MPEG standards, High efficiency video coding
BibRef
Xu, D.,
Lu, G.,
Yang, R.,
Timofte, R.,
Learned image and video compression with deep neural networks,
VCIP20(1-3)
IEEE DOI
2102
Image coding, Data compression, Video compression,
Deep learning, Tutorials
BibRef
Bhagat, S.[Sarthak],
Uppal, S.[Shagun],
Yin, Z.Y.[Zhu-Yun],
Lim, N.L.[Neng-Li],
Disentangling Multiple Features in Video Sequences Using Gaussian
Processes in Variational Autoencoders,
ECCV20(XXIII:102-117).
Springer DOI
2011
Multiple features, static or dynamic, can be disentangled.
BibRef
Lu, G.[Guo],
Cai, C.L.[Chun-Lei],
Zhang, X.Y.[Xiao-Yun],
Chen, L.[Li],
Ouyang, W.L.[Wan-Li],
Xu, D.[Dong],
Gao, Z.Y.[Zhi-Yong],
Content Adaptive and Error Propagation Aware Deep Video Compression,
ECCV20(II:456-472).
Springer DOI
2011
BibRef
Hu, Z.H.[Zhi-Hao],
Chen, Z.H.[Zheng-Hao],
Xu, D.[Dong],
Lu, G.[Guo],
Ouyang, W.L.[Wan-Li],
Gu, S.H.[Shu-Hang],
Improving Deep Video Compression by Resolution-adaptive Flow Coding,
ECCV20(II:193-209).
Springer DOI
2011
BibRef
Sun, W.Y.[Wen-Yu],
Tang, C.[Chen],
Li, W.[Weigui],
Yuan, Z.Q.[Zhu-Qing],
Yang, H.Z.[Hua-Zhong],
Liu, Y.[Yongpan],
High-quality Single-model Deep Video Compression with Frame-Conv3D and
Multi-frame Differential Modulation,
ECCV20(XXX: 239-254).
Springer DOI
2010
BibRef
Tao, H.,
Qian, J.,
Yu, L.,
Wang, H.,
Zhang, W.,
Li, Z.,
Wang, N.,
Zeng, X.,
Post-Processing Network Based on Dense Inception Attention for Video
Compression,
CLIC20(547-551)
IEEE DOI
2008
Encoding, Video compression, Video coding, Image coding,
Feature extraction, Kernel, Standards
BibRef
Feng, R.,
Wu, Y.,
Guo, Z.,
Zhang, Z.,
Chen, Z.,
Learned Video Compression with Feature-level Residuals,
CLIC20(529-532)
IEEE DOI
2008
Image coding, Training, Optical imaging, Adaptive optics,
Motion compensation, Optical distortion, Decoding
BibRef
Akutsu, H.,
Suzuki, A.,
Zhong, Z.,
Aizawa, K.,
Ultra Low Bitrate Learned Image Compression by Selective Detail
Decoding,
CLIC20(524-528)
IEEE DOI
2008
Decoding, Image coding, Entropy, Training, Bit rate,
Random access memory, Indexes
BibRef
He, G.,
Wu, C.,
Li, L.,
Zhou, J.,
Wang, X.,
Zheng, Y.,
Yu, B.,
Xie, W.,
A Video Compression Framework Using an Overfitted Restoration Neural
Network,
CLIC20(593-597)
IEEE DOI
2008
Video compression, Image restoration, Neural networks, Training,
Decoding
BibRef
Zou, N.N.[Nan-Nan],
Zhang, H.L.[Hong-Lei],
Cricri, F.[Francesco],
Tavakoli, H.R.[Hamed R.],
Lainema, J.[Jani],
Aksu, E.[Emre],
Hannuksela, M.[Miska],
Rahtu, E.[Esa],
Learned Video Compression with Intra-Guided Enhancement and Implicit
Motion Information,
CLIC21(1870-1874)
IEEE DOI
2109
BibRef
Earlier:
End-to-End Learning for Video Frame Compression with Self-Attention,
CLIC20(580-584)
IEEE DOI
2008
Image coding, Computational modeling, Pipelines, MIMICs, Video compression.
Decoding, Neural networks, Tensile stress, Context modeling,
Image coding, Adaptation models, Probability distribution
BibRef
Chin, T.,
Ding, R.,
Zhang, C.,
Marculescu, D.,
Towards Efficient Model Compression via Learned Global Ranking,
CVPR20(1515-1525)
IEEE DOI
2008
Complexity theory, Art, Drones,
Autonomous robots, Computational modeling
BibRef
Quach, M.,
Valenzise, G.,
Dufaux, F.,
Learning Convolutional Transforms for Lossy Point Cloud Geometry
Compression,
ICIP19(4320-4324)
IEEE DOI
1910
point cloud geometry compression, convolutional neural network,
rate-distortion optimization
BibRef
Lin, J.,
Liu, D.,
Li, H.,
Wu, F.,
M-LVC: Multiple Frames Prediction for Learned Video Compression,
CVPR20(3543-3551)
IEEE DOI
2008
Video compression, Image coding, Motion compensation, Entropy,
Encoding, Motion estimation, Transforms
BibRef
Yang, R.,
Mentzer, F.,
Van Gool, L.J.,
Timofte, R.,
Learning for Video Compression With Hierarchical Quality and
Recurrent Enhancement,
CVPR20(6627-6636)
IEEE DOI
2008
Image coding, Video compression, Decoding, Bidirectional control,
Streaming media, Rate-distortion, Correlation
BibRef
Djelouah, A.,
Campos, J.,
Schaub-Meyer, S.,
Schroers, C.[Christopher],
Neural Inter-Frame Compression for Video Coding,
ICCV19(6420-6428)
IEEE DOI
2004
data compression, decoding, image sequences, interpolation,
learning (artificial intelligence), motion compensation, Distortion
BibRef
Rippel, O.,
Nair, S.,
Lew, C.,
Branson, S.,
Anderson, A.,
Bourdev, L.,
Learned Video Compression,
ICCV19(3453-3462)
IEEE DOI
2004
data compression, image sequences,
learning (artificial intelligence), motion estimation,
Video codecs
BibRef
Cheng, Z.X.[Zheng-Xue],
Sun, H.M.[He-Ming],
Takeuchi, M.[Masaru],
Katto, J.[Jiro],
Learning Image and Video Compression Through Spatial-Temporal Energy
Compaction,
CVPR19(10063-10072).
IEEE DOI
2002
BibRef
Westland, N.,
Dias, A.S.,
Mrak, M.,
Decision Trees for Complexity Reduction in Video Compression,
ICIP19(2666-2670)
IEEE DOI
1910
Video Coding, Complexity Reduction, Machine Learning, Decision Trees
BibRef
Su, H.,
Tsai, C.,
Wang, Y.,
Xu, Y.,
Machine Learning Accelerated Partition Search for Video Encoding,
ICIP19(2661-2665)
IEEE DOI
1910
Video Coding, Machine Learning, Partition Search, Encoding Speedup, VP9
BibRef
Xu, K.[Kai],
Ren, F.[Fengbo],
CSVideoNet: A Real-Time End-to-End Learning Framework for
High-Frame-Rate Video Compressive Sensing,
WACV18(1680-1688)
IEEE DOI
1806
cameras, compressed sensing, data compression, decoding,
image reconstruction, image resolution,
Streaming media
BibRef
Pavez, E.,
Ortega, A.,
Mukherjee, D.,
Learning separable transforms by inverse covariance estimation,
ICIP17(285-289)
IEEE DOI
1803
Covariance matrices, Discrete cosine transforms, Encoding,
Estimation, Image coding, video coding
BibRef
Sun, X.Y.[Xiao-Yan],
Wu, F.[Feng],
Classified patch learning for spatially scalable video coding,
ICIP09(2301-2304).
IEEE DOI
0911
BibRef
Lampert, C.H.[Christoph H.],
Machine Learning for Video Compression: Macroblock Mode Decision,
ICPR06(I: 936-940).
IEEE DOI
0609
BibRef
Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Motion Coding, Video Coding, Evaluations, Surveys .