5.5.8.3 General Rate-Quality, Rate Distortion, Rate Control, Error Tradeoffs for Video

Cui, J., Wang, S., Wang, S., Zhang, X., Ma, S., Gao, W.,
Hybrid Laplace Distribution-Based Low Complexity Rate-Distortion Optimized Quantization,
IP(26), No. 8, August 2017, pp. 3802-3816.
IEEE DOI 1707
Laplace equations, video codecs, video coding, HEVC codecs, block level rate, coefficient distribution, distortion models, high-efficiency video coding, hybrid Laplace distribution, low complexity rate-distortion optimized quantization, low-complexity RDOQ scheme, optimal quantized level, two stages RD minimization, Complexity theory, Computational modeling, Distortion, Encoding, Quantization (signal), Rate-distortion, Transforms, HEVC, hybrid laplace distribution, low complexity, rate distortion optimized quantization, rate model, transform, coefficient BibRef

Ozcinar, C.[Cagri], Anbarjafari, G.[Gholamreza],
Dynamic bitrate allocation of interactive real-time streamed multi-view video with view-switch prediction,
SIViP(11), No. 7, October 2017, pp. 1279-1285.
WWW Link. 1708
BibRef

Ding, L., Tian, Y., Fan, H., Wang, Y., Huang, T.,
Rate-Performance-Loss Optimization for Inter-Frame Deep Feature Coding From Videos,
IP(26), No. 12, December 2017, pp. 5743-5757.
IEEE DOI 1710
data compression, feature extraction, neural nets, sequential prediction structure, uncompressed videos, BibRef

de Abreu, A.[Ana], Cheung, G.[Gene], Frossard, P.[Pascal], Pereira, F.[Fernando],
Optimal Lagrange multipliers for dependent rate allocation in video coding,
SP:IC(63), 2018, pp. 113-124.
Elsevier DOI 1804
Lagrangian optimization, Video and multiview image coding, Rate-distortion (RD) optimization BibRef

Liu, Y.[Yufan], Yang, L.[Li], Xu, M.[Mai], Wang, Z.L.[Zu-Lin],
Rate control schemes for panoramic video coding,
JVCIR(53), 2018, pp. 76-85.
Elsevier DOI 1805
Virtual reality, Panoramic video, Rate control, Video coding BibRef

Sanchez, V., Hernández-Cabronero, M.,
Graph-Based Rate Control in Pathology Imaging With Lossless Region of Interest Coding,
MedImg(37), No. 10, October 2018, pp. 2211-2223.
IEEE DOI 1810
Coding pathology images. Pathology, Bit rate, Encoding, Image coding, Signal processing algorithms, Approximation algorithms, region of interest coding BibRef

Bartrina-Rapesta, J.[Joan], Hernández-Cabronero, M.[Miguel], Sanchez, V.[Victor], Serra-Sagristà, J.[Joan], Jamshidi, P.[Pouya], Castellani, J.,
Prediction-based coding with rate control for lossless region of interest in pathology imaging,
SP:IC(123), 2024, pp. 117087.
Elsevier DOI 2403
Digital pathology images, Region of interest coding, Rate control BibRef

Xue, Y.Y.[Yuan-Yi], Wang, Y.[Yao],
A Novel Video Coding Framework Using a Self-Adaptive Dictionary,
CirSysVideo(28), No. 12, December 2018, pp. 3478-3491.
IEEE DOI 1812
Dictionaries, Encoding, Video coding, Predictive coding, Rate-distortion, Partitioning algorithms, L_0-norm minimization BibRef

Afonso, M., Zhang, F., Bull, D.R.,
Video Compression Based on Spatio-Temporal Resolution Adaptation,
CirSysVideo(29), No. 1, January 2019, pp. 275-280.
IEEE DOI 1901
Spatial resolution, Encoding, Video compression, Training, Bit rate, Optimization, Decoding, Video compression, CNN-based super-resolution BibRef

Danier, D.[Duolikun], Zhang, F.[Fan], Bull, D.R.[David R.],
A Subjective Quality Study for Video Frame Interpolation,
ICIP22(1361-1365)
IEEE DOI 2211
Measurement, Interpolation, Correlation, Databases, Quality assessment, Video recording, Video Frame Interpolation, BVI-VFI BibRef

Mackin, A.[Alex], Afonso, M.[Mariana], Zhang, F.[Fan], Bull, D.R.[David R.],
A Study of Subjective Video Quality at Various Spatial Resolutions,
ICIP18(2830-2834)
IEEE DOI 1809
Spatial resolution, Visualization, Measurement, Image quality, Color, Video recording, Spatial resolution, visual quality, 4K BibRef

Mackin, A.[Alex], Zhang, F.[Fan], Papadopoulos, M.A., Bull, D.R.[David R.],
Investigating the impact of high frame rates on video compression,
ICIP17(295-299)
IEEE DOI 1803
BibRef
Earlier: A1, A2, A4, Only:
A study of subjective video quality at various frame rates,
ICIP15(3407-3411)
IEEE DOI 1512
Bit rate, Cameras, Databases, Delays, Encoding, Video compression, Video sequences, HEVC, HFR, High frame rates, Immersive Video. High frame rates; subjective quality assessment; video database BibRef

Zhang, F., Mackin, A.[Alex], Bull, D.R.[David R.],
A frame rate dependent video quality metric based on temporal wavelet decomposition and spatiotemporal pooling,
ICIP17(300-304)
IEEE DOI 1803
Correlation, Databases, Measurement, Quality assessment, Spatiotemporal phenomena, Testing, Video recording, FRQM, Frame rate, video quality assessment BibRef

Ma, C., Liu, D., Peng, X., Wu, F., Li, H., Wang, T.,
Reference Clip for Inter Prediction in Video Coding,
CirSysVideo(29), No. 1, January 2019, pp. 130-143.
IEEE DOI 1901
Memory management, Resource management, Encoding, Streaming media, Optimization, High efficiency video coding, Bit-rate allocation, video coding BibRef

Rubino, E.M.[Eduardo M.], Álvares, A.J.[Alberto J.], Marín, R.[Raúl], Sanz, P.J.[Pedro J.],
Real-time rate distortion-optimized image compression with region of interest on the ARM architecture for underwater robotics applications,
RealTimeIP(16), No. 1, February 2019, pp. 193-225.
Springer DOI
WWW Link. 1902
BibRef

Fan, H., Ding, L., Jia, H., Xie, X.,
A Novel Joint Rate Allocation Scheme of Multiple Streams,
CirSysVideo(29), No. 3, March 2019, pp. 854-867.
IEEE DOI 1903
Complexity theory, Resource management, Bit rate, Distortion, Visualization, Videos, Distortion measurement, HEVC BibRef

Li, Y., Xu, J., Chen, Z.,
Spherical Domain Rate-Distortion Optimization for Omnidirectional Video Coding,
CirSysVideo(29), No. 6, June 2019, pp. 1767-1780.
IEEE DOI 1906
Distortion, Encoding, Streaming media, Video coding, Optimization, Rate-distortion, Distortion measurement, Virtual reality, rate-distortion optimization BibRef

Zhang, J., Wang, A., Liang, J., Wang, H., Li, S., Zhang, X.,
Distortion Estimation-Based Adaptive Power Allocation for Hybrid Digital-Analog Video Transmission,
CirSysVideo(29), No. 6, June 2019, pp. 1806-1818.
IEEE DOI 1906
Distortion, Resource management, Decoding, Digital-analog conversion, Discrete cosine transforms, distortion estimation BibRef

Hwang, W., Lee, C., Peng, G.,
Multi-Objective Optimization and Characterization of Pareto Points for Scalable Coding,
CirSysVideo(29), No. 7, July 2019, pp. 2096-2111.
IEEE DOI 1907
Encoding, Distortion, Codecs, Resource management, Rate-distortion, Optimization, Scalability, Scalable coding, multi-criterion optimization BibRef

Kim, Y.H., Ortega, A.,
Toward Optimal Rate Allocation to Sampling Sets for Bandlimited Graph Signals,
SPLetters(26), No. 9, September 2019, pp. 1364-1368.
IEEE DOI 1909
graph theory, quadratic programming, quantisation (signal), signal reconstruction, signal sampling, graph nodes, quadratic programming BibRef

Zhang, F., Bull, D.R.,
Rate-Distortion Optimization Using Adaptive Lagrange Multipliers,
CirSysVideo(29), No. 10, October 2019, pp. 3121-3131.
IEEE DOI 1910
approximation theory, entropy, optimisation, rate distortion theory, statistical analysis, video coding, HEVC BibRef

Cai, C.L.[Chun-Lei], Chen, L.[Li], Zhang, X.Y.[Xiao-Yun], Gao, Z.Y.[Zhi-Yong],
Efficient Variable Rate Image Compression with Multi-Scale Decomposition Network,
CirSysVideo(29), No. 12, December 2019, pp. 3687-3700.
IEEE DOI 1912
Image coding, Resource management, Transforms, Transform coding, Codecs, Laplace equations, Standards, Lossy image compression, convolutional neural network BibRef

Yang, F.[Fei], Herranz, L.[Luis], van de Weijer, J.[Joost], Iglesias Guitián, J.A.[José A.], López, A.M.[Antonio M.], Mozerov, M.G.[Mikhail G.],
Variable Rate Deep Image Compression With Modulated Autoencoder,
SPLetters(27), 2020, pp. 331-335.
IEEE DOI 2003
Deep image compression, variable bitrate, autoencoder, modulated autoencoder BibRef

Yang, F.[Fei], Herranz, L.[Luis], Cheng, Y.M.[Yong-Mei], Mozerov, M.G.[Mikhail G.],
Slimmable Compressive Autoencoders for Practical Neural Image Compression,
CVPR21(4996-5005)
IEEE DOI 2111
Video coding, Performance evaluation, Adaptation models, Image coding, Computational modeling, Rate-distortion, Transform coding BibRef

Chen, Z., Hou, X., Shao, L., Gong, C., Qian, X., Huang, Y., Wang, S.,
Compressive Sensing Multi-Layer Residual Coefficients for Image Coding,
CirSysVideo(30), No. 4, April 2020, pp. 1109-1120.
IEEE DOI 2004
Image coding, Image reconstruction, Quantization (signal), Rate-distortion, Transform coding, Decoding, Compressed sensing, approximate message passing BibRef

Li, M., Ma, K., You, J., Zhang, D., Zuo, W.,
Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression,
IP(29), 2020, pp. 5900-5911.
IEEE DOI 2005
Image coding, Entropy, Computational modeling, Transforms, Convolutional codes, Context modeling, Convolution, image compression BibRef

Li, M.[Mu], Zuo, W.M.[Wang-Meng], Gu, S.H.[Shu-Hang], You, J.[Jane], Zhang, D.[David],
Learning Content-Weighted Deep Image Compression,
PAMI(43), No. 10, October 2021, pp. 3446-3461.
IEEE DOI 2109
Image coding, Entropy, Context modeling, Adaptation models, Decoding, Quantization (signal), Bit rate, Lossy image compression, arithmetic codings BibRef

Li, M.[Mu], Bao, Y.N.[You-Neng], Sui, X.H.[Xiao-Hang], Li, J.X.[Jin-Xing], Lu, G.M.[Guang-Ming], Xu, Y.[Yong],
Learning Content-Weighted Pseudocylindrical Representation for 360° Image Compression,
IP(33), 2024, pp. 5975-5988.
IEEE DOI 2411
Image coding, Codecs, Distortion, Optimization, Convolution, Visualization, Metalearning, Rate-distortion, Measurement, content-weighted parameter estimation BibRef

Li, M.[Mu], Zuo, W.M.[Wang-Meng], Gu, S.H.[Shu-Hang], Zhao, D., Zhang, D.[David],
Learning Convolutional Networks for Content-Weighted Image Compression,
CVPR18(3214-3223)
IEEE DOI 1812
Image coding, Decoding, Transform coding, Convolutional codes, Entropy, Quantization (signal), Bit rate BibRef

Fang, M., Han, Y., Wen, J.,
Genetic Algorithm Based Rate Control for AV1,
SPLetters(27), 2020, pp. 520-524.
IEEE DOI 2005
Bit rate, Genetic algorithms, Encoding, Distortion, Histograms, Rate distortion theory, Robustness, AV1, rate control, bit allocation BibRef

Duanmu, Z., Liu, W., Li, Z., Ma, K., Wang, Z.,
Characterizing Generalized Rate-Distortion Performance of Video Coding: An Eigen Analysis Approach,
IP(29), 2020, pp. 6180-6193.
IEEE DOI 2005
Rate-distortion function, video quality assessment, quadratic programming BibRef

Han, C., Duan, Y., Tao, X., Xu, M., Lu, J.,
Toward Variable-Rate Generative Compression by Reducing the Channel Redundancy,
CirSysVideo(30), No. 7, July 2020, pp. 1789-1802.
IEEE DOI 2007
Image coding, Bit rate, Quantization (signal), Training, Image reconstruction, Decoding, Correlation, channel redundancy BibRef

Ding, D.D.[Dan-Dan], Kong, L.Y.[Ling-Yi], Chen, G.Y.[Guang-Yao], Liu, Z.[Zoe], Fang, Y.[Yong],
A Switchable Deep Learning Approach for In-Loop Filtering in Video Coding,
CirSysVideo(30), No. 7, July 2020, pp. 1871-1887.
IEEE DOI 2007
Encoding, Video coding, Feature extraction, Adaptation models, Tools, Training, Correlation, CNN, in-loop filter, video coding, enhancement BibRef

Kadri, I.[Imen], Dauphin, G.[Gabriel], Mokraoui, A.[Anissa], Lachiri, Z.[Zied],
Disparities selection controlled by the compensated image quality for a given bitrate,
SIViP(14), No. 6, September 2020, pp. 1143-1151.
Springer DOI 2008
BibRef

Wang, X.W.[Xiang-Wen], Yang, E.H.[En-Hui], He, D.K.[Da-Ke], Song, L.[Li], Yu, X.[Xiang],
Rate Distortion Optimization: A Joint Framework and Algorithms for Random Access Hierarchical Video Coding,
IP(29), 2020, pp. 9458-9469.
IEEE DOI 1806
Image coding, Encoding, Rate-distortion, Standards, Video coding, Quantization (signal), Distortion, Rate distortion optimization, HEVC BibRef

Xie, R.[Rong], Song, L.[Li], Kuo, C.C.J.[C.C. Jay],
VMAF Oriented Perceptual Coding Based on Piecewise Metric Coupling,
IP(30), 2021, pp. 5109-5121.
IEEE DOI 2106
Measurement, Image coding, Encoding, Videos, Distortion, Rate-distortion, Optimization, Video coding, VMAF, perceptual coding, rate-distortion optimization BibRef

Zhang, H.[Han], Xu, J.Z.[Ji-Zheng], Song, L.[Li],
Video Multimethod Assessment Fusion Based Rate-Distortion Optimization for Versatile Video Coding,
ICIP21(2064-2068)
IEEE DOI 2201
Video coding, Measurement, Support vector machines, Visualization, Quantization (signal), Rate-distortion, Quality assessment, VMAF, video coding BibRef

Wang, X.W.[Xiang-Wen], Song, L.[Li], Luo, Z.Y.[Zheng-Yi], Xie, R.[Rong],
Lagrangian method based Rate-Distortion Optimization revisited for dependent video coding,
ICIP17(3021-3025)
IEEE DOI 1803
Image communication, Indexes, HEVC, predictive coding, rate distortion optimization, video coding BibRef

Zhang, H.[Hang], Li, J.H.[Jia-Hao], Li, B.[Bin], Lu, Y.[Yan],
A Deep Reinforcement Learning Approach to Multiple Streams' Joint Bitrate Allocation,
CirSysVideo(31), No. 6, June 2021, pp. 2415-2426.
IEEE DOI 2106
Bit rate, Resource management, Videos, Complexity theory, Distortion, Real-time systems, Encoding, Joint bitrate allocation, minVAR problems BibRef

Nien, Y.C.[Yu-Chieh], Tang, C.W.[Chih-Wei],
Region-level bit allocation for rate control of 360-degree videos using cubemap projection,
JVCIR(79), 2021, pp. 103242.
Elsevier DOI 2109
360-degree video coding, Cubemap projection (CMP), Rate control, Bit allocation, Machine learning, Detection of high HEVC coding cost regions BibRef

Katsenou, A.V.[Angeliki V.], Afonso, M.[Mariana], Bull, D.R.[David R.],
Study of compression statistics and prediction of rate-distortion curves for video texture,
SP:IC(101), 2022, pp. 116551.
Elsevier DOI 2201
Video texture, Video compression, Rate-distortion curves, HEVC BibRef

Yilmaz, M.A.[M. Akin], Tekalp, A.M.[A. Murat],
End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video Compression,
IP(31), 2022, pp. 974-983.
IEEE DOI 2201
BibRef
Earlier:
End-to-End Rate-Distortion Optimization for Bi-Directional Learned Video Compression,
ICIP20(1311-1315)
IEEE DOI 2011
Bidirectional control, Image coding, Video compression, Motion compensation, Optimization, Entropy, Video codecs, end-to-end optimization. Image coding, Bidirectional control, Quantization (signal), Training BibRef

Kirmemis, O., Tekalp, A.M.,
Shrinkage as Activation for Learned Image Compression,
ICIP20(1301-1305)
IEEE DOI 2011
Image coding, Laplace equations, Complexity theory, Image resolution, Machine learning, Quantization (signal), KL divergence BibRef

Huang, J.[Jing], Huang, Y.[Yan], Wang, Q.[Qicong], Yang, W.M.[Wen-Ming], Meng, H.Y.[Hong-Ying],
Self-Supervised Representation Learning for Videos by Segmenting via Sampling Rate Order Prediction,
CirSysVideo(32), No. 6, June 2022, pp. 3475-3489.
IEEE DOI 2206
Task analysis, Semantics, Streaming media, Feature extraction, Data mining, Motion segmentation, Image segmentation, contrastive learning BibRef

Duan, S.Y.[Shi-Yu], Chen, H.J.[Huai-Jin], Gu, J.W.[Jin-Wei],
JPD-SE: High-Level Semantics for Joint Perception-Distortion Enhancement in Image Compression,
IP(31), 2022, pp. 4405-4416.
IEEE DOI 2207
Optimizing compression with perceptual cues. Semantics, Codecs, Distortion, Image coding, Visualization, Training, Bit rate, Image compression, high-level semantics, generative adversarial networks BibRef

Shi, Y.H.[Yun-Hui], Zhang, K.[Kangfu], Wang, J.[Jin], Ling, N.[Nam], Yin, B.C.[Bao-Cai],
Variable-Rate Image Compression Based on Side Information Compensation and R-lambda Model Rate Control,
CirSysVideo(33), No. 7, July 2023, pp. 3488-3501.
IEEE DOI 2307
Image coding, Distortion, Rate-distortion, Transforms, Image reconstruction, Feature extraction, Computational modeling, rate control BibRef

Yang, M.Y.[Ming-Yi], Huo, J.[Junyan], Zhou, X.[Xile], Qiao, W.H.[Wen-Han], Wan, S.[Shuai], Wang, H.[Hao], Yang, F.Z.[Fu-Zheng],
Joint Rate-Distortion Optimization for Video Coding and Learning-Based In-Loop Filtering,
MultMed(26), 2024, pp. 2851-2865.
IEEE DOI 2402
Encoding, Filtering, Filtering theory, Video coding, Optimization, Distortion, Rate-distortion, Rate-distortion optimization (RDO), learning-based in-loop filter BibRef

Xu, J.Y.[Jia-Yao], Yang, J.[Jian], Kimishima, F.[Fuma], Taniguchi, I.[Ittetsu], Zhou, J.J.[Jin-Jia],
Compressive Sensing Based Image Codec With Partial Pre-Calculation,
MultMed(26), 2024, pp. 4871-4883.
IEEE DOI 2404
Image coding, Image reconstruction, Decoding, Compressed sensing, Codecs, Quantization (signal), Reconstruction algorithms, reconstruction algorithm BibRef

Kimishima, F.[Fuma], Yang, J.[Jian], Tran, T.T.T.[Thuy T. T.], Zhou, J.J.[Jin-Jia],
Frame Adaptive Rate Control Scheme for Video Compressive Sensing,
CIAP22(I:247-256).
Springer DOI 2205
BibRef

Chen, J.C.[Jian-Cong], Wang, M.[Meng], Zhang, P.P.[Ping-Ping], Wang, S.[Shurun], Wang, S.Q.[Shi-Qi],
Sparse-to-Dense: High Efficiency Rate Control for End-to-End Scale-Adaptive Video Coding,
CirSysVideo(34), No. 5, May 2024, pp. 4027-4039.
IEEE DOI 2405
Encoding, Video coding, Bit rate, Distortion, Adaptation models, Spatial resolution, Video compression, Rate control, rate-distortion BibRef

Argaw, D.M.[Dawit Mureja], Kim, J.[Junsik], Kweon, I.S.[In So],
Blurry Video Compression A Trade-off between Visual Enhancement and Data Compression,
WACV24(4268-4278)
IEEE DOI 2404
Training, Degradation, Visualization, Redundancy, Dynamics, Data compression, Algorithms, Computational photography, image and video synthesis BibRef

Telili, A.[Ahmed], Hamidouche, W.[Wassim], Fezza, S.A.[Sid Ahmed], Morin, L.[Luce],
Efficient Per-Shot Transformer-Based Bitrate Ladder Prediction for Adaptive Video Streaming,
ICIP23(1835-1839)
IEEE DOI 2312
BibRef

Eichermüller, L.[Lena], Chaudhari, G.[Gaurang], Katsavounidis, I.[Ioannis], Lei, Z.J.[Zhi-Jun], Tmar, H.[Hassene], Kaup, A.[André], Herglotz, C.[Christian],
Encoder Complexity Control in SVT-AV1 by Speed-Adaptive Preset Switching,
ICIP23(3100-3104)
IEEE DOI 2312
BibRef

Datta, P.[Parual], Ahuja, N.[Nilesh], Somayazulu, V.S.[V. Srinivasa], Tickoo, O.[Omesh],
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing,
ICPR22(182-188)
IEEE DOI 2212
Training, Tensors, Systematics, Computational modeling, Neural networks, Memory management, Rate-distortion BibRef

Yilmaz, M.A.[M. Akin], Ulas, O.U.[O. Ugur], Bilican, A.[Ahmet], Tekalp, A.M.[A. Murat],
Motion-Adaptive Inference for Flexible Learned B-Frame Compression,
ICIP24(1760-1766)
IEEE DOI Code:
WWW Link. 2411
Training, Adaptation models, Image coding, Codecs, Training data, Rate-distortion, Bidirectional control, flexible-rate coding BibRef

Çetin, E.[Eren], Yilmaz, M.A.[M. Akin], Tekalp, A.M.[A. Murat],
Flexible-Rate Learned Hierarchical Bi-Directional Video Compression with Motion Refinement and Frame-Level Bit Allocation,
ICIP22(1206-1210)
IEEE DOI 2211
Video coding, Image coding, Motion estimation, Bit rate, Rate-distortion, Bidirectional control, Video compression, flexible-rate coding BibRef

Xie, X.F.[Xiu-Feng], Zhou, N.[Ning], Zhu, W.T.[Wen-Tao], Liu, J.[Ji],
Bandwidth-Aware Adaptive Codec for DNN Inference Offloading in IoT,
ECCV22(XXXVIII:88-104).
Springer DOI 2211
BibRef

Liu, Z.C.[Zhao-Cheng], Herranz, L.[Luis], Yang, F.[Fei], Zhang, S.P.[Sai-Ping], Wan, S.[Shuai], Mrak, M.[Marta], Blanch, M.G.[Marc Górriz],
Slimmable Video Codec,
CLIC22(1742-1746)
IEEE DOI 2210
Computational modeling, Memory management, Memory architecture, Rate-distortion, Machine learning, Video compression, Nonhomogeneous media BibRef

Rippel, O.[Oren], Anderson, A.G.[Alexander G.], Tatwawadi, K.[Kedar], Nair, S.[Sanjay], Lytle, C.[Craig], Bourdev, L.[Lubomir],
ELF-VC: Efficient Learned Flexible-Rate Video Coding,
ICCV21(14459-14468)
IEEE DOI 2203
Video coding, Bit rate, Graphics processing units, Video compression, Streaming media, Real-time systems, Video analysis and understanding BibRef

Lin, J.P.[Jian-Ping], Liu, D.[Dong], Liang, J.[Jie], Li, H.Q.[Hou-Qiang], Wu, F.[Feng],
A Deeply Modulated Scheme for Variable-Rate Video Compression,
ICIP21(3722-3726)
IEEE DOI 2201
Training, Adaptation models, Image coding, Computational modeling, Motion estimation, Bit rate, Deep video compression, variable rate BibRef

Chaudhari, G.[Gaurang], Chuang, H.C.A.[Hsiao-Chi-Ang], Koba, I.[Igor], Lalgudi, H.[Hariharan],
Rate Estimation Techniques for Encoder Parallelization,
ICIP21(2059-2063)
IEEE DOI 2201
Image coding, Pipelines, Estimation, Predictive models, Prediction algorithms, Hardware, Software, Encoder parallelization, neutral network BibRef

Aklouf, M.[Mourad], Leny, M.[Marc], Kieffer, M.[Michel], Dufaux, F.[Frédéric],
Interframe-Dependent Rate-QP-Distortion Model for Video Coding and Transmission,
ICIP21(2019-2023)
IEEE DOI 2201
Video coding, Image coding, Quantization (signal), Simulation, Video sequences, Bit rate, Predictive models, HEVC, x265, video coding BibRef

Brand, F.[Fabian], Fischer, K.[Kristian], Kopte, A.[Alexander], Windsheimer, M.[Marc], Kaup, A.[André],
RDONet: Rate-Distortion Optimized Learned Image Compression with Variable Depth,
CLIC22(1758-1762)
IEEE DOI 2210
BibRef
Earlier: A1, A2, A5 only:
Rate-Distortion Optimized Learning-Based Image Compression using an Adaptive Hierachical Autoencoder with Conditional Hyperprior,
CLIC21(1885-1889)
IEEE DOI 2109
Measurement, Video coding, Training, Image coding, Rate-distortion, Video compression. Adaptation models, Visualization, Image coding, Transforms, Switches, Decoding BibRef

Brummer, B.[Benoit], de Vleeschouwer, C.[Christophe],
End-to-end optimized image compression with competition of prior distributions,
CLIC21(1890-1894)
IEEE DOI 2109
Convolutional codes, Training, Image coding, Computational modeling, Rate-distortion, Entropy coding, Decoding BibRef

Sun, Y., Li, L., Li, Z., Liu, S.,
Yoco: Light-Weight Rate Control Model Learning,
ICIP20(1316-1320)
IEEE DOI 2011
Bit rate, Encoding, Videos, Estimation, Neural networks, Feature extraction, Parameter estimation, Bitstream domain, Sequence level BibRef

John, S., Gadde, A., Adsumilli, B.,
Rate Distortion Optimization Over Large Scale Video Corpus With Machine Learning,
ICIP20(1286-1290)
IEEE DOI 2011
Bit rate, Streaming media, Encoding, Distortion, Optimization, Training, Support vector machines, rate distortion optimization, YouTube BibRef

Golinski, A.[Adam], Pourreza, R.[Reza], Yang, Y.[Yang], Sautière, G.[Guillaume], Cohen, T.S.[Taco S.],
Feedback Recurrent Autoencoder for Video Compression,
ACCV20(IV:591-607).
Springer DOI 2103
BibRef

van Rozendaal, T.[Ties], Sautière, G.[Guillaume], Cohen, T.S.[Taco S.],
Lossy Compression with Distortion Constrained Optimization,
CLIC20(634-639)
IEEE DOI 2008
Distortion, Optimization, Training, Image coding, Fasteners, Computational modeling, Rate distortion theory BibRef

Veerabadran, V., Pourreza, R., Habibian, A., Cohen, T.S.[Taco S.],
Adversarial Distortion for Learned Video Compression,
CLIC20(640-644)
IEEE DOI 2008
Training, Video compression, Distortion, Decoding, Image reconstruction, Bit rate BibRef

Habibian, A., van Rozendaal, T.[Ties], Tomczak, J., Cohen, T.S.[Taco S.],
Video Compression With Rate-Distortion Autoencoders,
ICCV19(7032-7041)
IEEE DOI 2004
autoregressive processes, data compression, image capture, image sensors, learning (artificial intelligence), BibRef

Zhang, F., Afonso, M., Bull, D.R.,
Enhanced Video Compression Based on Effective Bit Depth Adaptation,
ICIP19(1720-1724)
IEEE DOI 1910
Effective bit depth adaptation, EBDA-CNN, video compression, machine learning based compression, HEVC BibRef

Bosse, S., Dietzel, M., Becker, S., Helmrich, C.R., Siekmann, M., Schwarz, H., Marpe, D.M., Wiegand, T.,
Neural Network Guided Perceptually Optimized Bit-Allocation for Block-Based Image and Video Compression,
ICIP19(126-130)
IEEE DOI 1910
Image compression, perceptual coding, distortion sensitivity, neural network, irrelevance reduction BibRef

Filali, A., Ricordel, V., Normand, N., Hamidouche, W.,
Rate-Distortion Optimized Tree-Structured Point-Lattice Vector Quantization for Compression of 3D Point Clouds Geometry,
ICIP19(1099-1103)
IEEE DOI 1910
3D point cloud geometry, lattice vector quantization, rate-distortion optimization BibRef

Alexandre, D.[David], Hang, H.M.[Hsueh-Ming], Peng, W.H.[Wen-Hsiao],
Hierarchical B-Frame Video Coding Using Two-Layer CANF Without Motion Coding,
CVPR23(10249-10258)
IEEE DOI 2309
BibRef

Alexandre, D.[David], Chang, C., Peng, W.H.[Wen-Hsiao], Hang, H.M.[Hsueh-Ming],
Learned Image Compression with Soft Bit-Based Rate-Distortion Optimization,
ICIP19(1715-1719)
IEEE DOI 1910
Autoencoder, Deep Learning, Image Compression, Soft Bits BibRef

Sun, Y., Jin, M., Li, L., Li, Z.,
A Machine Learning Approach to Accurate Sequence-Level Rate Control Scheme for Video Coding,
ICIP18(1013-1017)
IEEE DOI 1809
Bit rate, Encoding, Training, Adaptation models, Machine learning, Feature extraction, Video coding, Machine learning, Rate control, video coding BibRef

Bai, L., Song, L., Xie, R., Zhang, L., Luo, Z.,
Rate control model for high dynamic range video,
VCIP17(1-4)
IEEE DOI 1804
video coding, CTU, HDR video, RC model, average BD-rate, bit allocation, coding tree unit, high dynamic range video, standard dynamic range (SDR) BibRef

He, Z.J., Yang, C.L., Tang, R.D., Ma, L.H.,
Adaptive optimal bit-depth estimation in compressed video sensing,
ICIP17(2756-2760)
IEEE DOI 1803
bit-depth estimation, compressed video sensing, encoding, non-uniform quantization BibRef

Gao, P., Xiang, W., Rahaman, D.M.M., Paul, M.,
Joint texture and depth map coding for error-resilient 3-D video transmission,
ICIP17(1905-1909)
IEEE DOI 1803
Distortion, Encoding, Optimization, Packet loss, Rate-distortion, Video coding, 3-D video transmission, Texture coding mode, error-resilient coding BibRef

Toderici, G.[George], Vincent, D.[Damien], Johnston, N.[Nick], Hwang, S.J.[Sung Jin], Minnen, D.[David], Shor, J.[Joel], Covell, M.[Michele],
Full Resolution Image Compression with Recurrent Neural Networks,
CVPR17(5435-5443)
IEEE DOI 1711
Additives, Convolutional codes, Decoding, Image coding, Image reconstruction, Kernel, Neural, networks BibRef

Minnen, D., Singh, S.,
Channel-Wise Autoregressive Entropy Models for Learned Image Compression,
ICIP20(3339-3343)
IEEE DOI 2011
Entropy, Image coding, Codecs, Adaptation models, Predictive models, Bit rate, Training, Image Compression, Neural Networks, Adaptive Entropy Modeling BibRef

Minnen, D.[David], Toderici, G.[George], Singh, S., Hwang, S.J.[Sung Jin], Covell, M.,
Image-Dependent Local Entropy Models for Learned Image Compression,
ICIP18(430-434)
IEEE DOI 1809
Entropy, Image coding, Transforms, Adaptation models, Dictionaries, Training, Bit rate, Image Compression, Neural Networks, Adaptive Entropy Modeling BibRef

Johnston, N., Vincent, D., Minnen, D., Covell, M., Singh, S., Chinen, T., Hwang, S.J.[S. Jin], Shor, J., Toderici, G.,
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks,
CVPR18(4385-4393)
IEEE DOI 1812
BibRef
Earlier: A3, A9, A4, A6, A1, A8, A7, A2, A5:
Spatially adaptive image compression using a tiled deep network,
ICIP17(2796-2800)
IEEE DOI 1803
Bit rate, Image reconstruction, Decoding, Image coding, Training, Transform coding, Adaptation models Adaptation models, Codecs, Convolution, Neural networks, Block-Based Coding, Spatial Context Prediction BibRef

Liu, Y., Zhou, W., Li, H.,
Quasi rate distortion optimization for binary hashing,
ICIP17(890-894)
IEEE DOI 1803
Distortion, Encoding, Optimization, Rate distortion theory, Rate-distortion, Upper bound, Video coding, Information retrieval, nearest neighbor search BibRef