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Perceptual Quality Assessment of Omnidirectional Images: A Benchmark and Computational Model

https://doi.org/10.1145/3640344
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-00776-8_54openalex-snapshot
Subjective Quality Assessment of Stereoscopic Omnidirectional Image
inferredcites →https://doi.org/10.1007/s11263-021-01450-2openalex-snapshot
Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition
inferredcites →https://doi.org/10.1109/access.2020.2972158openalex-snapshot
Segmented Spherical Projection-Based Blind Omnidirectional Image Quality Assessment
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.634openalex-snapshot
Aggregated Residual Transformations for Deep Neural Networks
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00372openalex-snapshot
Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01415openalex-snapshot
MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment
inferredcites →https://doi.org/10.1109/icip.2017.8296923openalex-snapshot
CVIQD: Subjective quality evaluation of compressed virtual reality images
inferredcites →https://doi.org/10.1109/icip42928.2021.9506192openalex-snapshot
Convolutional Neural Networks for Omnidirectional Image Quality Assessment: Pre-Trained or Re-Trained?
inferredcites →https://doi.org/10.1109/icme.2018.8486584openalex-snapshot
Spherical Structural Similarity Index for Objective Omnidirectional Video Quality Assessment
inferredcites →https://doi.org/10.1109/icme46284.2020.9102888openalex-snapshot
Blind Stereoscopic Image Quality Assessment By Deep Neural Network Of Multi-Level Feature Fusion
inferredcites →https://doi.org/10.1109/icsp.2018.8652269openalex-snapshot
Weighted-to-Spherically-Uniform SSIM Objective Quality Evaluation for Panoramic Video
inferredcites →https://doi.org/10.1109/iscas.2018.8351786openalex-snapshot
Perceptual Quality Assessment of Omnidirectional Images
inferredcites →https://doi.org/10.1109/ismar.2015.12openalex-snapshot
A Framework to Evaluate Omnidirectional Video Coding Schemes
inferredcites →https://doi.org/10.1109/jstsp.2019.2955024openalex-snapshot
MC360IQA: A Multi-channel CNN for Blind 360-Degree Image Quality Assessment
inferredcites →https://doi.org/10.1109/jstsp.2019.2956408openalex-snapshot
Study of 3D Virtual Reality Picture Quality
inferredcites →https://doi.org/10.1109/jstsp.2020.2966864openalex-snapshot
State-of-the-Art in 360° Video/Image Processing: Perception, Assessment and Compression
inferredcites →https://doi.org/10.1109/lsp.2012.2227726openalex-snapshot
Making a “Completely Blind” Image Quality Analyzer
inferredcites →https://doi.org/10.1109/lsp.2017.2720693openalex-snapshot
Weighted-to-Spherically-Uniform Quality Evaluation for Omnidirectional Video
inferredcites →https://doi.org/10.1109/pcs.2016.7906378openalex-snapshot
Testbed for subjective evaluation of omnidirectional visual content
inferredcites →https://doi.org/10.1109/pcs48520.2019.8954555openalex-snapshot
Quality Assessment of Stereoscopic 360-degree Images from Multi-viewports
inferredcites →https://doi.org/10.1109/qomex.2012.6263851openalex-snapshot
QoE in 10 seconds: Are short video clip lengths sufficient for Quality of Experience assessment?
inferredcites →https://doi.org/10.1109/qomex.2016.7498936openalex-snapshot
On the accuracy of objective image and video quality models: New methodology for performance evaluation
inferredcites →https://doi.org/10.1109/tcsvt.2018.2886771openalex-snapshot
Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network
inferredcites →https://doi.org/10.1109/tcsvt.2019.2898732openalex-snapshot
Deep Virtual Reality Image Quality Assessment With Human Perception Guider for Omnidirectional Image
inferredcites →https://doi.org/10.1109/tcsvt.2020.3015186openalex-snapshot
Blind Omnidirectional Image Quality Assessment With Viewport Oriented Graph Convolutional Networks
inferredcites →https://doi.org/10.1109/tcsvt.2020.3035679openalex-snapshot
Perceptual Quality Assessment for Asymmetrically Distorted Stereoscopic Video by Temporal Binocular Rivalry
inferredcites →https://doi.org/10.1109/tcsvt.2021.3081162openalex-snapshot
Omnidirectional Image Quality Assessment by Distortion Discrimination Assisted Multi-Stream Network
inferredcites →https://doi.org/10.1109/tcsvt.2021.3081182openalex-snapshot
No-Reference Quality Assessment for 360-Degree Images by Analysis of Multifrequency Information and Local-Global Naturalness
inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-snapshot
Image quality assessment: from error visibility to structural similarity
inferredcites →https://doi.org/10.1109/tip.2005.859378openalex-snapshot
Image information and visual quality
inferredcites →https://doi.org/10.1109/tip.2011.2109730openalex-snapshot
FSIM: A Feature Similarity Index for Image Quality Assessment
inferredcites →https://doi.org/10.1109/tip.2012.2214050openalex-snapshot
No-Reference Image Quality Assessment in the Spatial Domain
inferredcites →https://doi.org/10.1109/tip.2012.2219551openalex-snapshot
Video Quality Pooling Adaptive to Perceptual Distortion Severity
inferredcites →https://doi.org/10.1109/tip.2014.2346028openalex-snapshot
VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment
inferredcites →https://doi.org/10.1109/tip.2015.2426416openalex-snapshot
A Feature-Enriched Completely Blind Image Quality Evaluator
inferredcites →https://doi.org/10.1109/tip.2017.2781307openalex-snapshot
No Reference Quality Assessment for Screen Content Images With Both Local and Global Feature Representation
inferredcites →https://doi.org/10.1109/tip.2018.2865089openalex-snapshot
Modeling the Perceptual Quality of Immersive Images Rendered on Head Mounted Displays: Resolution and Compression
inferredcites →https://doi.org/10.1109/tip.2019.2916766openalex-snapshot
Visual Attention Prediction for Stereoscopic Video by Multi-Module Fully Convolutional Network
inferredcites →https://doi.org/10.1109/tip.2020.3003218openalex-snapshot
No Reference Quality Assessment for 3D Synthesized Views by Local Structure Variation and Global Naturalness Change
inferredcites →https://doi.org/10.1109/tip.2021.3052073openalex-snapshot
Cubemap-Based Perception-Driven Blind Quality Assessment for 360-degree Images
inferredcites →https://doi.org/10.1109/tip.2021.3061932openalex-snapshot
Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild
inferredcites →https://doi.org/10.1109/tip.2022.3177127openalex-snapshot
Subjective and Objective Quality of Experience of Free Viewpoint Videos
inferredcites →https://doi.org/10.1109/tip.2023.3272480openalex-snapshot
Study of Spatio-Temporal Modeling in Video Quality Assessment
inferredcites →https://doi.org/10.1109/tpami.2020.3045810openalex-snapshot
Image Quality Assessment: Unifying Structure and Texture Similarity
inferredcites →https://doi.org/10.1109/tvcg.2018.2793599openalex-snapshot
Saliency in VR: How Do People Explore Virtual Environments?
inferredcites →https://doi.org/10.1109/tvcg.2021.3050888openalex-snapshot
Perceptual Quality Assessment of Omnidirectional Images as Moving Camera Videos
inferredcites →https://doi.org/10.1109/wacv51458.2022.00404openalex-snapshot
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency
inferredcites →https://doi.org/10.1117/12.477378openalex-snapshot
Measuring colorfulness in natural images
inferredcites →https://doi.org/10.1145/3343031.3351028openalex-snapshot
Quality Assessment of In-the-Wild Videos
inferredcites →https://doi.org/10.1145/3381846openalex-snapshot
Do Users Behave Similarly in VR? Investigation of the User Influence on the System Design
inferredcites →https://doi.org/10.1145/3394171.3413804openalex-snapshot
Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment
inferredcites →https://doi.org/10.1145/3444685.3446318openalex-snapshot
Pulse localization networks with infrared camera
inferredcites →https://doi.org/10.1145/3503161.3547748openalex-snapshot
TVFormer: Trajectory-guided Visual Quality Assessment on 360° Images with Transformers
inferredcites →https://doi.org/10.1145/3549544openalex-snapshot
Toward A No-reference Omnidirectional Image Quality Evaluation by Using Multi-perceptual Features
inferredcites →https://doi.org/10.1518/hfes.46.1.142.30384openalex-snapshot
“Conflicting” Motion Cues to the Visual and Vestibular Self- Motion Systems Around 0.06 Hz Evoke Simulator Sickness
inferredcites →https://doi.org/10.1609/aaai.v36i1.19937openalex-snapshot
Perceptual Quality Assessment of Omnidirectional Images
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
inferredcites →https://doi.org/10.5594/m001758openalex-snapshot
360-Degree Video Streaming and its Subjective Quality
inferredcites →https://doi.org/10.5594/m001774openalex-snapshot
Begin with the End in Mind: A Unified End-to-End Quality-of-Experience Monitoring, Optimization and Management Framework

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s11263-024-02245-xopenalex-snapshot
Unified Frequency-Assisted Transformer Framework for Detecting and Grounding Multi-modal Manipulation
inferred← citeshttps://doi.org/10.1007/s11263-025-02391-wopenalex-snapshot
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision
inferred← citeshttps://doi.org/10.1007/s11334-025-00608-2openalex-snapshot
Lightweight blockchain-based access control with efficient revocation for fog-enabled IoT
inferred← citeshttps://doi.org/10.1016/j.aej.2024.11.069openalex-snapshot
SecureIoT-FL: A Federated Learning Framework for Privacy-Preserving Real-Time Environmental Monitoring in Industrial IoT Applications
inferred← citeshttps://doi.org/10.1016/j.displa.2025.103302openalex-snapshot
Omnidirectional image quality assessment via multi-perceptual feature fusion
inferred← citeshttps://doi.org/10.1016/j.iot.2025.101812openalex-snapshot
Security and privacy solutions in intelligent transportation systems: A survey
inferred← citeshttps://doi.org/10.1016/j.jvcir.2024.104241openalex-snapshot
Blind omnidirectional image quality assessment based on semantic information replenishment
inferred← citeshttps://doi.org/10.1016/j.jvcir.2025.104461openalex-snapshot
Opinion-unaware blind quality assessment of AI-generated omnidirectional images based on deep feature statistics
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108408openalex-snapshot
ASRL: Correlation-robust pedestrian attribute recognition via fixed orthogonal classifier
inferred← citeshttps://doi.org/10.1109/access.2024.3478793openalex-snapshot
Performance Evaluation of Objective Quality Assessment Methods for Omnidirectional Images Under Emerging Compressions
inferred← citeshttps://doi.org/10.1109/access.2025.3597214openalex-snapshot
QFCOI-Enhancing Objective Quality Assessment for Compressed Omnidirectional Images With Fusion of Measures
inferred← citeshttps://doi.org/10.1109/ist64061.2024.10843627openalex-snapshot
The application of IoT devices in evidence collection and preservation In legal investigations In the common law legal system of Western countries
inferred← citeshttps://doi.org/10.1109/lsp.2025.3556791openalex-snapshot
Viewport-Independent Blind Quality Assessment of AI-Generated Omnidirectional Images via Vision-Language Correspondence
inferred← citeshttps://doi.org/10.1109/tbc.2024.3503435openalex-snapshot
Omnidirectional Image Quality Assessment With Mutual Distillation
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3497994openalex-snapshot
Multitask Auxiliary Network for Perceptual Quality Assessment of Non-Uniformly Distorted Omnidirectional Images
inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3551723openalex-snapshot
Multi-Task Guided No-Reference Omnidirectional Image Quality Assessment With Feature Interaction
inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3651643openalex-snapshot
Viewport-Unaware Full-Reference Omnidirectional Image Quality Assessment With Inter-Patch and Sequence Similarity
inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3694394openalex-snapshot
Efficient Blind Omnidirectional Image Quality Assessment: A 2D Perspective
inferred← citeshttps://doi.org/10.1109/tim.2025.3571161openalex-snapshot
Panoramic Image Quality Assessment Based on Scanpath Prediction and Bidimensional Feature Representation
inferred← citeshttps://doi.org/10.1109/tmm.2026.3673590openalex-snapshot
Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Unified and Generalized Approach
inferred← citeshttps://doi.org/10.1145/3720547openalex-snapshot
Computational Analysis of Degradation Modeling in Blind Panoramic Image Quality Assessment
inferred← citeshttps://doi.org/10.1145/3723165openalex-snapshot
Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Flexible and Effective Paradigm
inferred← citeshttps://doi.org/10.1145/3817047openalex-snapshot
ScanFormer: Transformer-based Prediction of Multiple Visual Scanpaths of Different Varieties
inferred← citeshttps://doi.org/10.26599/cvm.2025.9450438openalex-snapshot
3D Indoor Scene Geometry Estimation from a Single Omnidirectional Image: A Comprehensive Survey
inferred← citeshttps://doi.org/10.54254/2977-3903/2024.19435openalex-snapshot
A MDA-based multi-modal framework for panoramic viewport prediction
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