Deep architectures for image compression: a critical review
Deep learning architectures are now pervasive and filled almost all applications under
image processing, computer vision, and biometrics. The attractive property of feature …
image processing, computer vision, and biometrics. The attractive property of feature …
Deep learning-based video coding: A review and a case study
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 …
especially in computer vision and image processing. However, deep learning-based video …
Beyond transmitting bits: Context, semantics, and task-oriented communications
Communication systems to date primarily aim at reliably communicating bit sequences.
Such an approach provides efficient engineering designs that are agnostic to the meanings …
Such an approach provides efficient engineering designs that are agnostic to the meanings …
Deep contextual video compression
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 …
framework, which first generates the predicted frame and then encodes its residue with the …