Fetching the paper…
Reading the bibliography…
In this paper, we design a new class of high-efficiency deep joint source-channel coding methods to achieve end-to-end video transmission over wireless channels.
“A mathematical theory of communication, 1948,”
C. E. Shannon, · 1948
Earlier work this paper cites.
“Universal modeling and coding,”
J. Rissanen and G. Langdon, · 1981
Earlier work this paper cites.
“Joint source-channel turbo decoding of entropy-coded sources,”
A. Guyader, E. Fabre, C. Guillemot, and M. Robert, · 2001
Earlier work this paper cites.
“Calculation of average PSNR differences between rd-curves,”
G. Bjontegaard, · 2001
Earlier work this paper cites.
“Multiscale structural similarity for image quality assessment,”
Z. Wang, E. P Simoncelli, and A. C Bovik, · 2003
Earlier work this paper cites.
“Overview of the H. 264/AVC video coding standard,”
T. Wiegand, G. J Sullivan, G. Bjontegaard, and A. Luthra, · 2003
Earlier work this paper cites.
“Joint source-channel coding for wavelet-based scalable video transmission using an adaptive turbo code,”
N. Ramzan, S. Wan, and E. Izquierdo, · 2007
Earlier work this paper cites.
“Segmentation and recognition using structure from motion point clouds,”
G. J Brostow, J. Shotton, J. Fauqueur, and R. Cipolla, · 2008
Earlier work this paper cites.
“Learning multiple layers of features from tiny images,”
A. Krizhevsky, G. Hinton, et al., · 2009
Earlier work this paper cites.
“Semantic object classes in video: A high-definition ground truth database,”
G. J Brostow, J. Fauqueur, and R. Cipolla, · 2009
Earlier work this paper cites.
“Joint source and channel coding,”
M. Fresia, F. Perez-Cruz, H. V. Poor, and S. Verdu, · 2010
Earlier work this paper cites.
“Overview of the high efficiency video coding (HEVC) standard,”
G. J Sullivan, J.-R. Ohm, W.-J. Han, and T. Wiegand, · 2012
Earlier work this paper cites.
“Common test conditions and software reference configurations,”
F. Bossen et al., · 2013
Earlier work this paper cites.
“Adam: A method for stochastic optimization,”
D. P Kingma and J. Ba, · 2014
Earlier work this paper cites.
“Spatial transformer networks,”
M. Jaderberg, K. Simonyan, A. Zisserman, and K. kavukcuoglu, · 2015
Earlier work this paper cites.
“Training deep neural networks on noisy labels with bootstrapping,”
S. E Reed, H. Lee, D. Anguelov, C. Szegedy, D. Erhan, and A. Rabinovich, · 2015
Earlier work this paper cites.
“Density modeling of images using a generalized normalization transformation,”
J. Ballé, V. Laparra, and E. P Simoncelli, · 2016
Earlier work this paper cites.
“End-to-end optimized image compression,”
J. Ballé, V. Laparra, and E. P. Simoncelli, · 2017
Cited alongside, same era.
“Optical flow estimation using a spatial pyramid network,”
A. Ranjan and M. J Black, · 2017
Cited alongside, same era.
“Integer networks for data compression with latent-variable models,”
J. Ballé, N. Johnston, and D. Minnen, · 2018
Cited alongside, same era.
“Joint optimization of protograph LDPC code pair for joint source and channel coding,”
C. Chen, L. Wang, and F. CM Lau, · 2018
Cited alongside, same era.
“Deep learning for joint source-channel coding of text,”
N. Farsad, M. Rao, and A. Goldsmith, · 2018
Cited alongside, same era.
“Efficient nonlinear transforms for lossy image compression,”
J. Ballé, · 2018
Cited alongside, same era.
“Video coding for machines: A paradigm of collaborative compression and intelligent analytics,”
L. Duan, J. Liu, W. Yang, T. Huang, and W. Gao, · 2020
Later among the works it cites.
“An end-to-end learning framework for video compression,”
G. Lu, X. Zhang, W. Ouyang, L. Chen, Z. Gao, and D. Xu, · 2020
Later among the works it cites.
“Deep learning enabled semantic communication systems,”
H. Xie, Z. Qin, G. Y. Li, and B.-H. Juang, · 2021
Later among the works it cites.
“Semantic communications: Principles and challenges,”
Z. Qin, X. Tao, J. Lu, and G. Y. Li, · 2021
Later among the works it cites.
“Semantics-native communication with contextual reasoning,”
H. Seo, J. Park, M. Bennis, and M. Debbah, · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
“Variational image compression with a scale hyperprior,”
J. Ballé, D. Minnen, S. Singh, S. J. Hwang, and N. Johnston, · 2018
Cited alongside, same era.
“Joint autoregressive and hierarchical priors for learned image compression,”
D. Minnen, J. Ballé, and G. D Toderici, · 2018
Cited alongside, same era.
“Design of low-density parity check codes for 5G new radio,”
T. Richardson and S. Kudekar, · 2018
Cited alongside, same era.
“Neural joint source-channel coding,”
K. Choi, K. Tatwawadi, A. Grover, T. Weissman, and S. Ermon, · 2019
Cited alongside, same era.
“Deep joint source-channel coding for wireless image transmission,”
E. Bourtsoulatze, D. B. Kurka, and D. Gündüz, · 2019
Cited alongside, same era.
“DVC: An end-to-end deep video compression framework,”
G. Lu, W. Ouyang, D. Xu, X. Zhang, C. Cai, and Z. Gao, · 2019
Cited alongside, same era.
“Bandwidth-agile image transmission with deep joint source-channel coding,”
D. B. Kurka and D. Gündüz, · 2021
Later among the works it cites.
“Deep contextual video compression,”
J. Li, B. Li, and Y. Lu, · 2021
Later among the works it cites.
“Swin transformer: Hierarchical vision transformer using shifted windows,”
Z. Liu, Y. Lin, Y. Cao, H. Hu, Y. Wei, Z. Zhang, S. Lin, and B. Guo, · 2021
Later among the works it cites.
“An end-to-end learning framework for video compression,”
G. Lu, X. Zhang, W. Ouyang, L. Chen, Z. Gao, and D. Xu, · 2021
Later among the works it cites.
“Hyperseg: Patch-wise hypernetwork for real-time semantic segmentation,”
Y. Nirkin, L. Wolf, and T. Hassner, · 2021
Later among the works it cites.
“Toward wisdom-evolutionary and primitive-concise 6G: A new paradigm of semantic communication networks,”
P. Zhang, W. Xu, H. Gao, K. Niu, X. Xu, X. Qin, C. Yuan, Z. Qin, H. Zhao, J. Wei, et al., · 2022
Closest in time.
“Communication beyond transmitting bits: Semantics-guided source and channel coding,”
J. Dai, P. Zhang, K. Niu, S. Wang, Z. Si, and X. Qin, · 2022
Closest in time.
“Nonlinear transform source-channel coding for semantic communications,”
J. Dai, S. Wang, K. Tan, Z. Si, X. Qin, K. Niu, and P. Zhang, · 2022
Closest in time.
“A paradigm shift towards semantic communications,”
K. Niu, J. Dai, S. Yao, S. Wang, Z. Si, X. Qin, and P. Zhang, · 2022
Closest in time.
“Deepwive: Deep-learning-aided wireless video transmission,”
T.-Y. Tung and D. Gündüz, · 2022
Closest in time.
“Sionna: An open-source library for next-generation physical layer research,”
J. Hoydis, S. Cammerer, F. Ait Aoudia, A. Vem, N. Binder, G. Marcus, and A. Keller, · 2022
Closest in time.