5.5.1 Learning, Neural Nets for Coding, Compression in Video

Chapter Contents (Back)
Compression. Neural Nets. Learning. Still images:
See also Neural Networks, Learning for Image Compression.

Li, Y.[Yang], Tao, X.M.[Xiao-Ming], Lu, J.H.[Jian-Hua],
Hybrid model-and-object-based real-time conversational video coding,
SP:IC(35), No. 1, 2015, pp. 9-19.
Elsevier DOI 1506
Model-based video coding BibRef

Damerchilu, B.[Bahman], Norouzzadeh, M.S.[Mohammad Sadegh], Meybodi, M.R.[Mohammad Reza],
Motion estimation using learning automata,
MVA(27), No. 7, October 2016, pp. 1047-1061.
Springer DOI 1610
BibRef

Xu, M.[Mai], Jiang, L.[Lai], Ye, Z.T.[Zhao-Ting], Wang, Z.[Zulin],
Bottom-up saliency detection with sparse representation of learnt texture atoms,
PR(60), No. 1, 2016, pp. 348-360.
Elsevier DOI 1609
BibRef
Earlier: A2, A1, A3, A4:
Image Saliency Detection with Sparse Representation of Learnt Texture Atoms,
RSL-CV15(894-902)
IEEE DOI 1602
Visual attention Databases BibRef

Xu, M.[Mai], Jiang, L.[Lai], Sun, X., Ye, Z.T.[Zhao-Ting], Wang, Z.[Zulin],
Learning to Detect Video Saliency With HEVC Features,
IP(26), No. 1, January 2017, pp. 369-385.
IEEE DOI 1612
computer vision BibRef

Chen, Z., He, T., Jin, X., Wu, F.,
Learning for Video Compression,
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,
VCIP12(1-6).
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 sensing,
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 BibRef

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.], Chen, L.G.[Liang-Gee], 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

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


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

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

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

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

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, Pattern recognition 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 .


Last update:Mar 16, 2024 at 20:36:19