Cargando…

Attention-Based Bi-Prediction Network for Versatile Video Coding (VVC) over 5G Network

As the demands of various network-dependent services such as Internet of things (IoT) applications, autonomous driving, and augmented and virtual reality (AR/VR) increase, the fifthgeneration (5G) network is expected to become a key communication technology. The latest video coding standard, versati...

Descripción completa

Detalles Bibliográficos
Autores principales:	Choi, Young-Ju, Lee, Young-Woon, Kim, Jongho, Jeong, Se Yoon, Choi, Jin Soo, Kim, Byung-Gyu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007134/ https://www.ncbi.nlm.nih.gov/pubmed/36904838 http://dx.doi.org/10.3390/s23052631

Ejemplares similares

Performance Overview of the Latest Video Coding Proposals: HEVC, JEM and VVC
por: Martínez-Rach, Miguel O., et al.
Publicado: (2021)

VVC In-Loop Filtering Based on Deep Convolutional Neural Network
por: Bouaafia, Soulef, et al.
Publicado: (2021)

Versatile video coding
por: Dominguez, Humberto Ochoa, et al.
Publicado: (2018)

A Fast Decision Algorithm for VVC Intra-Coding Based on Texture Feature and Machine Learning
por: Zhao, Jinchao, et al.
Publicado: (2022)

Fast Sample Adaptive Offset Jointly Based on HOG Features and Depth Information for VVC in Visual Sensor Networks
por: Wang, Ruyan, et al.
Publicado: (2020)

A Study on Fast and Low-Complexity Algorithms for Versatile Video Coding
por: Choi, Kiho
Publicado: (2022)

Team VA Video Connect (VVC) to optimize mobility and physical activity in post-hospital discharge older veterans: baseline assessment
por: Alexander, Neil B., et al.
Publicado: (2021)

Error Resilient Coding Techniques for Video Delivery over Vehicular Networks
por: Piñol, Pablo, et al.
Publicado: (2018)

Basic prediction techniques in modern video coding standards
por: Kim, Byung-Gyu, et al.
Publicado: (2016)

Deep learning-based video quality enhancement for the new versatile video coding
por: Bouaafia, Soulef, et al.
Publicado: (2021)

Complexity Analysis of a Versatile Video Coding Decoder over Embedded Systems and General Purpose Processors
por: Saha, Anup, et al.
Publicado: (2021)

Altered attentional control over the salience network in complex regional pain syndrome
por: Kim, Jungyoon, et al.
Publicado: (2018)

A high-performance two-dimensional transform architecture of variable block sizes for the VVC standard
por: Ben Jdidia, Sonda, et al.
Publicado: (2022)

Video coding deep learning-based modeling for long life video streaming over next network generation
por: Alsmirat, Mohammad, et al.
Publicado: (2023)

Secure and Lightweight Cloud-Assisted Video Reporting Protocol over 5G-Enabled Vehicular Networks
por: Nkenyereye, Lewis, et al.
Publicado: (2017)

OpenVVC Decoder Parameterized and Interfaced Synchronous Dataflow (PiSDF) Model: Tile Based Parallelism
por: Haggui, Naouel, et al.
Publicado: (2022)

It Takes Two to Tango: How a Dysregulation of the Innate Immunity, Coupled With Candida Virulence, Triggers VVC Onset
por: Ardizzoni, Andrea, et al.
Publicado: (2021)

Multi-Stage Network for Event-Based Video Deblurring with Residual Hint Attention
por: Kim, Jeongmin, et al.
Publicado: (2023)

Advanced video communications over wireless networks
por: Zhu, Ce, et al.
Publicado: (2013)

Object-Cooperated Ternary Tree Partitioning Decision Method for Versatile Video Coding
por: Lee, Sujin, et al.
Publicado: (2022)

Distributed Coding/Decoding Complexity in Video Sensor Networks
por: Cordeiro, Paulo J., et al.
Publicado: (2012)

An enhanced heuristic XoR network coding-based method for high quality video streaming over VANETs
por: Mosaarab, Maryam, et al.
Publicado: (2019)

Secret Forwarding of Events over Distributed Publish/Subscribe Overlay Network
por: Yoon, Young, et al.
Publicado: (2016)

Novel Video Surveillance-Based Fire and Smoke Classification Using Attentional Feature Map in Capsule Networks
por: Shakhnoza, Muksimova, et al.
Publicado: (2021)

Dual encoder–decoder-based deep polyp segmentation network for colonoscopy images
por: Lewis, John, et al.
Publicado: (2023)

Decision tree accelerated CTU partition algorithm for intra prediction in versatile video coding
por: Teng, Guowei, et al.
Publicado: (2021)

Temporal Prediction Model-Based Fast Inter CU Partition for Versatile Video Coding
por: Li, Yue, et al.
Publicado: (2022)

A Fast Algorithm for Intra-Frame Versatile Video Coding Based on Edge Features
por: Zhao, Shuai, et al.
Publicado: (2023)

Multi-order graph attention network for water solubility prediction and interpretation
por: Lee, Sangho, et al.
Publicado: (2023)

Network Coding for Efficient Video Multicast in Device-to-Device Communications
por: Wang, Lei, et al.
Publicado: (2020)

Two-Stream Attention Network for Pain Recognition from Video Sequences
por: Thiam, Patrick, et al.
Publicado: (2020)

Hierarchical Attention-Based Multimodal Fusion Network for Video Emotion Recognition
por: Liu, Xiaodong, et al.
Publicado: (2021)

S2A: Scale-Attention-Aware Networks for Video Super-Resolution
por: Guo, Taian, et al.
Publicado: (2021)

A Lightweight Recurrent Grouping Attention Network for Video Super-Resolution
por: Zhu, Yonggui, et al.
Publicado: (2023)

Network Coding Approaches for Distributed Computation over Lossy Wireless Networks
por: Fan, Bin, et al.
Publicado: (2023)

Distributed video coding for wireless video sensor networks: a review of the state-of-the-art architectures
por: Imran, Noreen, et al.
Publicado: (2015)

Fusion-Based Versatile Video Coding Intra Prediction Algorithm with Template Matching and Linear Prediction
por: Luo, Dan, et al.
Publicado: (2022)

Camera Networks: The Acquisition and Analysis of Videos over Wide Areas
por: Roy-Chowdhury, Amit K, et al.
Publicado: (2012)

Spatiotemporal neural network with attention mechanism for El Niño forecasts
por: Kim, Jinah, et al.
Publicado: (2022)

UAT: Universal Attention Transformer for Video Captioning
por: Im, Heeju, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_0jmn63khbi0tgeam5leqjfcn8e