Deep architectures for image compression: a critical review

D Mishra, SK Singh, RK Singh - Signal Processing, 2022 - Elsevier
Deep learning architectures are now pervasive and filled almost all applications under
image processing, computer vision, and biometrics. The attractive property of feature …

Deep learning-based video coding: A review and a case study

D Liu, Y Li, J Lin, H Li, F Wu - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
The past decade has witnessed the great success of deep learning in many disciplines,
especially in computer vision and image processing. However, deep learning-based video …

Beyond transmitting bits: Context, semantics, and task-oriented communications

D Gündüz, Z Qin, IE Aguerri, HS Dhillon… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Communication systems to date primarily aim at reliably communicating bit sequences.
Such an approach provides efficient engineering designs that are agnostic to the meanings …

Deep contextual video compression

J Li, B Li, Y Lu - Advances in Neural Information Processing …, 2021 - proceedings.neurips.cc
Most of the existing neural video compression methods adopt the predictive coding
framework, which first generates the predicted frame and then encodes its residue with the …