Cargando…

A Deep CNN-LSTM Framework for Fast Video Coding

High Efficiency Video Coding (HEVC) doubles the compression rates over the previous H.264 standard for the same video quality. To improve the coding efficiency, HEVC adopts the hierarchical quadtree structured Coding Unit (CU). However, the computational complexity significantly increases due to the...

Descripción completa

Detalles Bibliográficos
Autores principales:	Bouaafia, Soulef, Khemiri, Randa, Sayadi, Fatma Ezahra, Atri, Mohamed, Liouane, Noureddine
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340939/ http://dx.doi.org/10.1007/978-3-030-51935-3_22

Ejemplares similares

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

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

CNN-SVM Learning Approach Based Human Activity Recognition
por: Basly, Hend, et al.
Publicado: (2020)

Facial expression recognition in videos using hybrid CNN & ConvLSTM
por: Singh, Rajesh, et al.
Publicado: (2023)

NLOS Identification in WLANs Using Deep LSTM with CNN Features
por: Nguyen, Viet-Hung, et al.
Publicado: (2018)

ECG signal classification based on deep CNN and BiLSTM
por: Cheng, Jinyong, et al.
Publicado: (2021)

Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods
por: Mohammed Alsumaidaee, Yaseen Ahmed, et al.
Publicado: (2023)

CNN-LSTM Hybrid Model for Kinematic Feature Analysis and Parabolic Radian Prediction in Basketball Videos
por: Rong, Ji, et al.
Publicado: (2021)

CNN-LSTM Model for Recognizing Video-Recorded Actions Performed in a Traditional Chinese Exercise
Publicado: (2023)

County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model
por: Sun, Jie, et al.
Publicado: (2019)

CNN-Bi-LSTM: A Complex Environment-Oriented Cattle Behavior Classification Network Based on the Fusion of CNN and Bi-LSTM
por: Gao, Guohong, et al.
Publicado: (2023)

Using cascade CNN-LSTM-FCNs to identify AI-altered video based on eye state sequence
por: Saealal, Muhammad Salihin, et al.
Publicado: (2022)

Retracted: CNN-LSTM Hybrid Model for Kinematic Feature Analysis and Parabolic Radian Prediction in Basketball Videos
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of the High-Voltage Subnet of Northeast Germany
por: Aksan, Fachrizal, et al.
Publicado: (2023)

Utilizing CNN-LSTM techniques for the enhancement of medical systems
por: Rayan, Alanazi, et al.
Publicado: (2023)

Pulmonary COVID-19: Learning Spatiotemporal Features Combining CNN and LSTM Networks for Lung Ultrasound Video Classification
por: Barros, Bruno, et al.
Publicado: (2021)

Automatic Detection of Obstructive Sleep Apnea Events Using a Deep CNN-LSTM Model
por: Zhang, Junming, et al.
Publicado: (2021)

Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT
por: Benítez-Andrades, José Alberto, et al.
Publicado: (2022)

A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis
por: Priyadarshini, Ishaani, et al.
Publicado: (2021)

Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor
Publicado: (2022)

CNN and LSTM-Based Emotion Charting Using Physiological Signals
por: Dar, Muhammad Najam, et al.
Publicado: (2020)

Attention Based CNN-ConvLSTM for Pedestrian Attribute Recognition
por: Li, Yang, et al.
Publicado: (2020)

Predicting Geolocation of Tweets: Using Combination of CNN and BiLSTM
por: Mahajan, Rhea, et al.
Publicado: (2021)

Intelligent automatic sleep staging model based on CNN and LSTM
por: Zhuang, Lan, et al.
Publicado: (2022)

The Evaluation on the Credit Risk of Enterprises with the CNN-LSTM-ATT Model
por: Zhang, Lei
Publicado: (2022)

Development of CNN-LSTM combinational architecture for COVID-19 detection
por: Narula, Abhinav, et al.
Publicado: (2022)

DeepASDPred: a CNN-LSTM-based deep learning method for Autism spectrum disorders risk RNA identification
por: Fan, Yongxian, et al.
Publicado: (2023)

A Deep CNN-LSTM Model for Particulate Matter (PM(2.5)) Forecasting in Smart Cities
por: Huang, Chiou-Jye, et al.
Publicado: (2018)

LSTMCNNsucc: A Bidirectional LSTM and CNN-Based Deep Learning Method for Predicting Lysine Succinylation Sites
por: Huang, Guohua, et al.
Publicado: (2021)

An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos
por: Ullah, Waseem, et al.
Publicado: (2021)

Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network
por: Zhu, Fei, et al.
Publicado: (2019)

Automatic Detection of Atrial Fibrillation Based on CNN-LSTM and Shortcut Connection
por: Ping, Yongjie, et al.
Publicado: (2020)

Classification of Mental Stress Using CNN-LSTM Algorithms with Electrocardiogram Signals
por: Kang, Mingu, et al.
Publicado: (2021)

CNN-LSTM-Based Prognostics of Bidirectional Converters for Electric Vehicles’ Machine
por: Rojas-Dueñas, Gabriel, et al.
Publicado: (2021)

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
por: Shoeibi, Afshin, et al.
Publicado: (2021)

Language Processing Model Construction and Simulation Based on Hybrid CNN and LSTM
por: Zhang, Shujing
Publicado: (2021)

A hybrid CNN-LSTM model for pre-miRNA classification
por: Tasdelen, Abdulkadir, et al.
Publicado: (2021)

Attention based automated radiology report generation using CNN and LSTM
por: Sirshar, Mehreen, et al.
Publicado: (2022)

Aeroengine Working Condition Recognition Based on MsCNN-BiLSTM
por: Zheng, Jinsong, et al.
Publicado: (2022)

Solar Power Prediction Using Dual Stream CNN-LSTM Architecture
por: Alharkan, Hamad, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_8snf5bbmn3tr0j5hkl7tklh3r4