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Low-Complexity and Hardware-Friendly H.265/HEVC Encoder for Vehicular Ad-Hoc Networks

https://doi.org/10.3390/s19081927

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-61949-1_6openalex-snapshot

Performance Comparison of H.265/HEVC, H.264/AVC and VP9 Encoders in Video Dissemination over VANETs

inferredcites →https://doi.org/10.1016/j.comnet.2014.12.010openalex-snapshot

The selective use of redundancy for video streaming over Vehicular Ad Hoc Networks

inferredcites →https://doi.org/10.1016/j.image.2017.09.008openalex-snapshot

A fast inter CU decision algorithm for HEVC

inferredcites →https://doi.org/10.1016/j.jvcir.2016.03.025openalex-snapshot

Efficient prediction of CU depth and PU mode for fast HEVC encoding using statistical analysis

inferredcites →https://doi.org/10.1038/srep34175openalex-snapshot

Three representations of the Ising model

inferredcites →https://doi.org/10.1109/access.2018.2871558openalex-snapshot

An Adaptive Quad-Tree Depth Range Prediction Mechanism for HEVC

inferredcites →https://doi.org/10.1109/dcc.2013.13openalex-snapshot

Fast Coding Unit Depth Decision Algorithm for Interframe Coding in HEVC

inferredcites →https://doi.org/10.1109/iccve.2014.7297650openalex-snapshot

Cellular aided vehicular named data networking

inferredcites →https://doi.org/10.1109/jstsp.2014.2330343openalex-snapshot

QoE Enhancement of SVC Video Streaming Over Vehicular Networks Using Cooperative LTE/802.11p Communications

inferredcites →https://doi.org/10.1109/jsyst.2015.2455813openalex-snapshot

Video Streaming Over Vehicular Ad Hoc Networks Using Erasure Coding

inferredcites →https://doi.org/10.1109/pcs.2018.8456291openalex-snapshot

A Comparison of JEM and AV1 with HEVC: Coding Tools, Coding Efficiency and Complexity

inferredcites →https://doi.org/10.1109/tbc.2017.2711142openalex-snapshot

Binary and Multi-Class Learning Based Low Complexity Optimization for HEVC Encoding

inferredcites →https://doi.org/10.1109/tbc.2017.2722239openalex-snapshot

A Fast HEVC Encoding Method Using Depth Information of Collocated CUs and RD Cost Characteristics of PU Modes

inferredcites →https://doi.org/10.1109/tcsvt.2012.2221255openalex-snapshot

HEVC Complexity and Implementation Analysis

inferredcites →https://doi.org/10.1109/tcsvt.2014.2360031openalex-snapshot

A Novel Fast CU Encoding Scheme Based on Spatiotemporal Encoding Parameters for HEVC Inter Coding

inferredcites →https://doi.org/10.1109/tcsvt.2017.2747618openalex-snapshot

Two-Stage Fast Inter CU Decision for HEVC Based on Bayesian Method and Conditional Random Fields

inferredcites →https://doi.org/10.1109/tie.2018.2815941openalex-snapshot

A Design of Fast High-Efficiency Video Coding Scheme Based on Markov Chain Monte Carlo Model and Bayesian Classifier

inferredcites →https://doi.org/10.1109/tii.2018.2801852openalex-snapshot

Efficient CU and PU Decision Based on Motion Information for Interprediction of HEVC

inferredcites →https://doi.org/10.1109/tmm.2015.2491018openalex-snapshot

Fast HEVC Inter CU Decision Based on Latent SAD Estimation

inferredcites →https://doi.org/10.1109/tmm.2017.2669863openalex-snapshot

Unimodal Stopping Model-Based Early SKIP Mode Decision for High-Efficiency Video Coding

inferredcites →https://doi.org/10.1109/tmm.2017.2723238openalex-snapshot

CTU-Level Complexity Control for High Efficiency Video Coding

inferredcites →https://doi.org/10.1109/wcnc.2014.6952858openalex-snapshot

Evaluating H.265 real-time video flooding quality in highway V2V environments

inferredcites →https://doi.org/10.1587/transinf.2015edl8237openalex-snapshot

Fast Coding Unit Size Decision Based on Probabilistic Graphical Model in High Efficiency Video Coding Inter Prediction

inferredcites →https://doi.org/10.3390/e21020165openalex-snapshot

Quality-Oriented Perceptual HEVC Based on the Spatiotemporal Saliency Detection Model

inferredcites →https://doi.org/10.3390/s151229788openalex-snapshot

Low Complexity HEVC Encoder for Visual Sensor Networks

inferredcites →https://doi.org/10.3390/sym11020129openalex-snapshot

Spatial Correlation-Based Motion-Vector Prediction for Video-Coding Efficiency Improvement

inferredcites →https://doi.org/10.4108/eai.13-7-2018.156089openalex-snapshot

Survey of Context-Aware Video Transmission over Vehicular Ad-Hoc Networks (VANETs)

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-97255-4_19openalex-snapshot

An Improved Video Coding Model for Future IMT Requirements

inferred← citeshttps://doi.org/10.1007/978-981-15-5232-8_38openalex-snapshot

QoE Analysis of Real-Time Video Streaming over 4G-LTE for UAV-Based Surveillance Applications

inferred← citeshttps://doi.org/10.1007/978-981-96-5190-0_13openalex-snapshot

Case Studies and Real-World Deployment Examples of VANETs (Vehicular Ad-Hoc Networks)

inferred← citeshttps://doi.org/10.1007/s11042-020-09231-8openalex-snapshot

Convolutional neural network based low complexity HEVC intra encoder

inferred← citeshttps://doi.org/10.1049/cdt2.12014openalex-snapshot

Homeland security video surveillance system utilising the internet of video things for smart cities

inferred← citeshttps://doi.org/10.1109/access.2023.3248067openalex-snapshot

An Efficient Low Complexity Region-of-Interest Detection for Video Coding in Wireless Visual Surveillance

inferred← citeshttps://doi.org/10.1109/comst.2021.3065237openalex-snapshot

A Survey on Multi-Access Edge Computing Applied to Video Streaming: Some Research Issues and Challenges

inferred← citeshttps://doi.org/10.1109/iconat57137.2023.10080711openalex-snapshot

Video Enhancement Algorithm using Pre-and Post-Processing for Compressed Videos

inferred← citeshttps://doi.org/10.1109/isdfs69419.2026.11458992openalex-snapshot

Video Streaming Over Vehicular Ad Hoc Networks: A Review

inferred← citeshttps://doi.org/10.1109/jiot.2020.3026354openalex-snapshot

Intelligent Resource Allocation for Video Analytics in Blockchain-Enabled Internet of Autonomous Vehicles With Edge Computing

inferred← citeshttps://doi.org/10.1109/tits.2021.3065209openalex-snapshot

Resource Allocation of Video Streaming Over Vehicular Networks: A Survey, Some Research Issues and Challenges

inferred← citeshttps://doi.org/10.1145/3416014.3424582openalex-snapshot

Edge Computing for Video Analytics in the Internet of Vehicles with Blockchain

inferred← citeshttps://doi.org/10.3390/app12126283openalex-snapshot

Deep Learning for Video Application in Cooperative Vehicle-Infrastructure System: A Comprehensive Survey

inferred← citeshttps://doi.org/10.3390/electronics13030649openalex-snapshot

A Survey on Video Streaming for Next-Generation Vehicular Networks

inferred← citeshttps://doi.org/10.3390/jmse11010122openalex-snapshot

Time Delay Optimization of Compressing Shipborne Vision Sensor Video Based on Deep Learning

inferred← citeshttps://doi.org/10.3390/s20185071openalex-snapshot

Sensors, Signal and Image Processing in Biomedicine and Assisted Living

inferred← citeshttps://doi.org/10.3390/s21186208openalex-snapshot

JSCC-Cast: A Joint Source Channel Coding Video Encoding and Transmission System with Limited Digital Metadata

inferred← citeshttps://doi.org/10.3390/s22155523openalex-snapshot

Low-Complexity Multiple Transform Selection Combining Multi-Type Tree Partition Algorithm for Versatile Video Coding

inferred← citeshttps://doi.org/10.3390/s22197552openalex-snapshot

High-Quality Video Watermarking Based on Deep Neural Networks for Video with HEVC Compression

inferred← citeshttps://doi.org/10.3390/s23052625openalex-snapshot

A Hardware-Friendlyand High-Efficiency H.265/HEVC Encoder for Visual Sensor Networks

inferred← citeshttps://doi.org/10.3390/s23187684openalex-snapshot

Compression Performance Analysis of Experimental Holographic Data Coding Systems

inferred← citeshttps://doi.org/10.3390/sym12010113openalex-snapshot

Maximum-Entropy-Model-Enabled Complexity Reduction Algorithm in Modern Video Coding Standards

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