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

https://doi.org/10.3390/e21020165

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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/s11042-017-5486-zopenalex-snapshot

Perceptual rate distortion optimization of 3D–HEVC using PSNR-HVS

inferredcites →https://doi.org/10.1007/s11263-010-0390-2openalex-snapshot

A Database and Evaluation Methodology for Optical Flow

inferredcites →https://doi.org/10.1007/s12559-010-9094-8openalex-snapshot

A Spatiotemporal Saliency Model for Video Surveillance

inferredcites →https://doi.org/10.1016/j.jvcir.2010.11.002openalex-snapshot

Efficient video coding based on audio-visual focus of attention

inferredcites →https://doi.org/10.1016/j.neucom.2017.08.054openalex-snapshot

Spatiotemporal visual saliency guided perceptual high efficiency video coding with neural network

inferredcites →https://doi.org/10.1109/access.2018.2843384openalex-snapshot

Perceptually Adaptive Lagrangian Multiplier for HEVC Guided Rate-Distortion Optimization

inferredcites →https://doi.org/10.1109/iccv.2013.209openalex-snapshot

Saliency Detection via Absorbing Markov Chain

inferredcites →https://doi.org/10.1109/iscas.2016.7539112openalex-snapshot

Visual saliency based perceptual video coding in HEVC

inferredcites →https://doi.org/10.1109/jstsp.2012.2215006openalex-snapshot

Perceptual Video Compression: A Survey

inferredcites →https://doi.org/10.1109/jstsp.2014.2314864openalex-snapshot

Region-of-Interest Based Conversational HEVC Coding with Hierarchical Perception Model of Face

inferredcites →https://doi.org/10.1109/tcsvt.2014.2302557openalex-snapshot

Complexity-Aware Adaptive Preprocessing Scheme for Region-of-Interest Spatial Scalable Video Coding

inferredcites →https://doi.org/10.1109/tip.2004.834657openalex-snapshot

Automatic Foveation for Video Compression Using a Neurobiological Model of Visual Attention

inferredcites →https://doi.org/10.1109/tip.2009.2030969openalex-snapshot

A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression

inferredcites →https://doi.org/10.1109/tip.2013.2282897openalex-snapshot

Saliency-Aware Video Compression

inferredcites →https://doi.org/10.1109/tip.2016.2568459openalex-snapshot

HEVC-Based Perceptually Adaptive Video Coding Using a DCT-Based Local Distortion Detection Probability Model

inferredcites →https://doi.org/10.1109/tip.2018.2818439openalex-snapshot

Learning-Based Just-Noticeable-Quantization- Distortion Modeling for Perceptual Video Coding

inferredcites →https://doi.org/10.1587/transinf.e96.d.562openalex-snapshot

Computational Models of Human Visual Attention and Their Implementations: A Survey

inferredcites →https://doi.org/10.3390/electronics8010088openalex-snapshot

Medical Video Coding Based on 2nd-Generation Wavelets: Performance Evaluation

What points at this work

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

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PVC-STIM: Perceptual video coding based on spatio-temporal influence map

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111664openalex-snapshot

PAVEN: A Perceptual Algorithm for Versatile video Encoding using Neural networks

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

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VCM-EGrid: Retina-Inspired Joint Semantic Video Coding for Power Grid Perception Tasks

inferred← citeshttps://doi.org/10.1109/iciics59993.2023.10421209openalex-snapshot

Temporal-Spatial Power Spectrum and Sensitivity Measure for Visual Perception Considering Video Dynamics

inferred← citeshttps://doi.org/10.1109/icip51287.2024.10647472openalex-snapshot

Saliency-Aware End-to-End Learned Variable-Bitrate 360-Degree Image Compression

inferred← citeshttps://doi.org/10.1109/icmew46912.2020.9106036openalex-snapshot

Juniper: A Jnd-Based Perceptual Video Coding Framework to Jointly Utilize Saliency and JND

inferred← citeshttps://doi.org/10.1109/jiot.2020.2972337openalex-snapshot

Blockchain-Enabled Internet of Vehicles With Cooperative Positioning: A Deep Neural Network Approach

inferred← citeshttps://doi.org/10.1109/tce.2025.3526479openalex-snapshot

SJ-PVC: An Efficient Perceptual Video Compression Scheme Based on Adaptive QP and Rate-Distortion Optimization

inferred← citeshttps://doi.org/10.1109/tip.2023.3327003openalex-snapshot

Perceptually Weighted Rate Distortion Optimization for Video-Based Point Cloud Compression

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/10.1109/tmm.2022.3187259openalex-snapshot

BL-JUNIPER: A CNN-Assisted Framework for Perceptual Video Coding Leveraging Block-Level JND

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/10.11591/ijeecs.v32.i1.pp392-402openalex-snapshot

Video perception enhancement using effective encoding optimization in future generation wireless network

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/e21100964openalex-snapshot

High Efficiency Video Coding Compliant Perceptual Video Coding Using Entropy Based Visual Saliency Model

inferred← citeshttps://doi.org/10.3390/e21111095openalex-snapshot

Perceptual Video Coding Scheme Using Just Noticeable Distortion Model Based on Entropy Filter

inferred← citeshttps://doi.org/10.3390/info13080394openalex-snapshot

Saliency-Enabled Coding Unit Partitioning and Quantization Control for Versatile Video Coding

inferred← citeshttps://doi.org/10.3390/s19081927openalex-snapshot

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

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

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

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