A survey of deep learning for alzheimer's disease
Alzheimer's and related diseases are significant health issues of this era. The
interdisciplinary use of deep learning in this field has shown great promise and gathered …
interdisciplinary use of deep learning in this field has shown great promise and gathered …
Review of AlexNet for Medical Image Classification
In recent years, the rapid development of deep learning has led to a wide range of
applications in the field of medical image classification. The variants of neural network …
applications in the field of medical image classification. The variants of neural network …
Innovative Insights: A Review of Deep Learning Methods for Enhanced Video Compression
Video Compression (VC) is a significant aspect of multimedia technology, in which the goal
to minimize the size of video data, while also preserving its perceptual quality, for effective …
to minimize the size of video data, while also preserving its perceptual quality, for effective …
Accelerating QTMT-based CU partition and intra mode decision for versatile video coding
G Ding, X Lin, J Wang, D Ding - Journal of Visual Communication and …, 2023 - Elsevier
The H. 266/VVC achieves about 50% bitrate saving compared to its predecessor H.
265/HEVC at the expense of exponentially increased computational complexity. The most …
265/HEVC at the expense of exponentially increased computational complexity. The most …
A method to reduce the intra-frame prediction complexity of HEVC based on D-CNN
T Wang, G Wei, H Li, TO Bui, Q Zeng, R Wang - Electronics, 2023 - mdpi.com
Among a series of video coding standards jointly developed by ITU-T, VCEG, and MPEG,
high-efficiency video coding (HEVC) is one of the most widely used video coding standards …
high-efficiency video coding (HEVC) is one of the most widely used video coding standards …
Network intrusion detection model based on neural network feature extraction and PSO-SVM
C Chen, X Xu, G Wang, L Yang - 2022 7th International …, 2022 - ieeexplore.ieee.org
Network intrusion detection system plays an important role in network security. Aiming at the
problem that it is difficult to extract subtle intrusion features in the process of intrusion …
problem that it is difficult to extract subtle intrusion features in the process of intrusion …
Fast CU size decision and intra-prediction mode decision method for H. 266/VVC
M Li, Z Wang, Q Zhang - EURASIP Journal on Image and Video …, 2024 - Springer
Abstract H. 266/Versatile Video Coding (VVC) is the most recent video coding standard
developed by the Joint Video Experts Team (JVET). The quad-tree with nested multi-type …
developed by the Joint Video Experts Team (JVET). The quad-tree with nested multi-type …
Fast partition algorithm in depth map intra coding unit based on multi-deep convolution neural network
N Omran, A Maraoui, I Werda, B Hamdi - Journal of Real-Time Image …, 2024 - Springer
The three-dimension high-efficiency video coding standard (3D-HEVC) finalized comes with
a significant increase in complexity caused by the integration of depth map coding …
a significant increase in complexity caused by the integration of depth map coding …
Ctu partition for intra-mode hevc using convolutional neural network
P Hari, V Jadhav, BKNS Rao - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
High Efficiency Video Coding (HEVC/H. 265) decreased bit rates by 50% compared to the
Advanced Video Coding (AVC/H. 264) standard. The HEVC Coding Tree Unit (CTU) …
Advanced Video Coding (AVC/H. 264) standard. The HEVC Coding Tree Unit (CTU) …
KSVM-based Fast Intra Mode Prediction in HEVC using Statistical Features and Sparse Autoencoder
PS Nair, MS Nair - IEEE Access, 2024 - ieeexplore.ieee.org
High Efficiency Video Coding (HEVC) is designed to deliver a video communication with
better quality at reduced bit rate. For intra coding, HEVC employs an effective hierarchical …
better quality at reduced bit rate. For intra coding, HEVC employs an effective hierarchical …