[HTML][HTML] Artificial intelligence in the creative industries: a review

N Anantrasirichai, D Bull - Artificial intelligence review, 2022 - Springer
This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …

Image and video compression with neural networks: A review

S Ma, X Zhang, C Jia, Z Zhao, S Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In recent years, the image and video coding technologies have advanced by leaps and
bounds. However, due to the popularization of image and video acquisition devices, the …

Nonlinear transform coding

J Ballé, PA Chou, D Minnen, S Singh… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
We review a class of methods that can be collected under the name nonlinear transform
coding (NTC), which over the past few years have become competitive with the best linear …

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 …

BVI-DVC: A training database for deep video compression

D Ma, F Zhang, DR Bull - IEEE Transactions on Multimedia, 2021 - ieeexplore.ieee.org
Deep learning methods are increasingly being applied in the optimisation of video
compression algorithms and can achieve significantly enhanced coding gains, compared to …

Learning a convolutional neural network for image compact-resolution

Y Li, D Liu, H Li, L Li, Z Li, F Wu - IEEE Transactions on Image …, 2018 - ieeexplore.ieee.org
We study the dual problem of image super-resolution (SR), which we term image compact-
resolution (CR). Opposite to image SR that hallucinates a visually plausible high-resolution …

Deep learning in visual tracking: A review

L Jiao, D Wang, Y Bai, P Chen… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Deep learning (DL) has made breakthroughs in many computer vision tasks and also in
visual tracking. From the beginning of the research on the automatic acquisition of high …

Advances in video compression system using deep neural network: A review and case studies

D Ding, Z Ma, D Chen, Q Chen, Z Liu… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Significant advances in video compression systems have been made in the past several
decades to satisfy the near-exponential growth of Internet-scale video traffic. From the …

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works

A Shoeibi, P Moridian, M Khodatars… - Computers in biology …, 2022 - Elsevier
Epilepsy is a disorder of the brain denoted by frequent seizures. The symptoms of seizure
include confusion, abnormal staring, and rapid, sudden, and uncontrollable hand …