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Video Quality Assessment

Video Quality Assessment is a computer vision task aiming to mimic video-based human subjective perception. The goal is to produce a mos score, where higher score indicates better perceptual quality. Some well-known benchmarks for this task are KoNViD-1k, LIVE-VQC, YouTube-UGC and LSVQ. SROCC/PLCC/RMSE are usually used to evaluate the performance of different models.

Papers

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Showing 151–200 of 216 papers

TitleStatusHype
ERQA: Edge-Restoration Quality Assessment for Video Super-ResolutionCode1
Locally Adaptive Structure and Texture Similarity for Image Quality Assessment—0
PRNet: A Progressive Regression Network for No-Reference User-Generated-Content Video Quality Assessment—0
High Frame Rate Video Quality Assessment using VMAF and Entropic Differences—0
ChipQA: No-Reference Video Quality Prediction via Space-Time ChipsCode1
A survey on IQA—0
StarVQA: Space-Time Attention for Video Quality AssessmentCode0
Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion PerceptionCode1
MUSIQ: Multi-scale Image Quality TransformerCode1
FOVQA: Blind Foveated Video Quality Assessment—0
Rich Features for Perceptual Quality Assessment of UGC Videos—0
Assessment of Subjective and Objective Quality of Live Streaming Sports Videos—0
Deep Learning based Full-reference and No-reference Quality Assessment Models for Compressed UGC VideosCode1
Improving precision of objective image/video quality metrics—0
Joint Optimization for SSIM-Based CTU-Level Bit Allocation and Rate Distortion OptimizationCode0
VMAF And Variants: Towards A Unified VQA—0
Enhancing VMAF through New Feature Integration and Model Combination—0
RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated ContentCode1
Latent Factor Modeling of Users Subjective Perception for Stereoscopic 3D Video Recommendation—0
Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality AssessmentCode1
Learning Generalized Spatial-Temporal Deep Feature Representation for No-Reference Video Quality AssessmentCode1
Study on the Assessment of the Quality of Experience of Streaming VideoCode0
Patch-VQ: 'Patching Up' the Video Quality ProblemCode1
Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingCode1
ST-GREED: Space-Time Generalized Entropic Differences for Frame Rate Dependent Video Quality PredictionCode1
Critical analysis on the reproducibility of visual quality assessment using deep featuresCode0
No-Reference Video Quality Assessment Using Space-Time ChipsCode0
Capturing Video Frame Rate Variations via Entropic Differencing—0
UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated ContentCode1
Perceptual Quality Assessment of Omnidirectional Images as Moving Camera VideosCode1
Comment on "No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features"—0
Image Quality Assessment: Unifying Structure and Texture SimilarityCode1
Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain MaximizationCode1
A Comparative Evaluation of Temporal Pooling Methods for Blind Video Quality Assessment—0
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityCode0
KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild—0
C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network—0
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessmentCode1
Test-Time Training with Self-Supervision for Generalization under Distribution ShiftsCode0
Quality Assessment of In-the-Wild VideosCode0
Barriers towards no-reference metrics application to compressed video quality analysis: on the example of no-reference metric NIQE—0
Two-Level Approach for No-Reference Consumer Video Quality AssessmentCode0
Viewport Proposal CNN for 360deg Video Quality AssessmentCode0
PEA265: Perceptual Assessment of Video Compression Artifacts—0
Power of Tempospatially Unified Spectral Density for Perceptual Video Quality AssessmentCode0
UNIQUE: Unsupervised Image Quality EstimationCode0
Prediction of the Influence of Navigation Scan-path on Perceived Quality of Free-Viewpoint Videos—0
Convolutional Neural Networks for Video Quality Assessment—0
The 2018 PIRM Challenge on Perceptual Image Super-resolutionCode1
Deep Video Quality Assessor: From Spatio-temporal Visual Sensitivity to A Convolutional Neural Aggregation Network—0
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All datasetsMSU SR-QA DatasetKoNViD-1kMSU NR VQA DatabaseLIVE-VQCMSU FR VQA DatabaseYouTube-UGCLIVE-FB LSVQLIVE-ETRILIVE LivestreamLIVE-YT-HFR

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PieAPPSROCC0.75—Unverified
2Q-Align (IQA)SROCC0.75—Unverified
3Q-Align (VQA)SROCC0.72—Unverified
4PaQ-2-PiQSROCC0.71—Unverified
5DBCNNSROCC0.69—Unverified
6MUSIQ trained on PaQ-2-PiQSROCC0.68—Unverified
7Ma-MetricSROCC0.67—Unverified
8MANIQASROCC0.67—Unverified
9ClipIQA+ ResNet50SROCC0.66—Unverified
10MUSIQ trained on SPAQSROCC0.65—Unverified
#ModelMetricClaimedVerifiedStatus
1DOVER (end-to-end)PLCC0.91—Unverified
2FasterVQA (fine-tuned)PLCC0.9—Unverified
3DOVER (head-only)PLCC0.89—Unverified
4FAST-VQA (finetuned on KonViD-1k)PLCC0.89—Unverified
5ReLaX-VQA (finetuned on KoNViD-1k)PLCC0.87—Unverified
6SimpleVQAPLCC0.86—Unverified
7DisCoVQAPLCC0.86—Unverified
8HVS-5MPLCC0.86—Unverified
9FAST-VQA (trained on LSVQ only)PLCC0.86—Unverified
10CONVIQTPLCC0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1MDTVSFASRCC0.93—Unverified
2DBCNNSRCC0.92—Unverified
3UNIQUESRCC0.91—Unverified
4LISRCC0.91—Unverified
5LINEARITYSRCC0.91—Unverified
6VSFASRCC0.9—Unverified
7MUSIQSRCC0.9—Unverified
8DOVERSRCC0.89—Unverified
9SPAQ MT-SSRCC0.88—Unverified
10SPAQ BLSRCC0.88—Unverified
#ModelMetricClaimedVerifiedStatus
1ReLaX-VQA (finetuned on LIVE-VQC)PLCC0.89—Unverified
2DOVER (end-to-end)PLCC0.87—Unverified
3DOVER (head-only)PLCC0.86—Unverified
4FAST-VQA (finetuned on LIVE-VQC)PLCC0.86—Unverified
5FasterVQA (fine-tuned)PLCC0.86—Unverified
6FAST-VQA (trained on LSVQ only)PLCC0.84—Unverified
7DisCoVQAPLCC0.84—Unverified
8HVS-5MPLCC0.84—Unverified
9BVQA-2022PLCC0.84—Unverified
102BiVQAPLCC0.83—Unverified
#ModelMetricClaimedVerifiedStatus
1VMAF Y (v063)SRCC0.94—Unverified
2VMAF Y (v061)SRCC0.94—Unverified
3VMAF Y (v062)SRCC0.94—Unverified
4AHIQSRCC0.94—Unverified
5VMAF Y (v061_neg)SRCC0.91—Unverified
6VIFpSRCC0.91—Unverified
7VSISRCC0.91—Unverified
8MS-SSIMSRCC0.9—Unverified
9SR-SIMSRCC0.9—Unverified
10FSIMSRCC0.9—Unverified
#ModelMetricClaimedVerifiedStatus
1DOVER (end-to-end)PLCC0.87—Unverified
2ReLaX-VQA (finetuned on YouTube-UGC)PLCC0.87—Unverified
3DOVER (head-only)PLCC0.86—Unverified
4FasterVQA (fine-tuned)PLCC0.86—Unverified
5SimpleVQAPLCC0.86—Unverified
6FAST-VQA (finetuned on YouTube-UGC)PLCC0.85—Unverified
7HVS-5MPLCC0.85—Unverified
8ReLaX-VQA (trained on LSVQ only)PLCC0.84—Unverified
9CONVIQTPLCC0.82—Unverified
10ReLaX-VQAPLCC0.82—Unverified
#ModelMetricClaimedVerifiedStatus
1OneAlign + FAST-VQAPLCC0.9—Unverified
2DOVERPLCC0.89—Unverified
3OneAlignPLCC0.89—Unverified
4FAST-VQAPLCC0.88—Unverified
5FasterVQAPLCC0.87—Unverified
6HVS-5MPLCC0.87—Unverified
7SimpleVQAPLCC0.86—Unverified
8BVQA-2022PLCC0.85—Unverified
9DisCoVQAPLCC0.85—Unverified
10PVQPLCC0.83—Unverified
#ModelMetricClaimedVerifiedStatus
1CONVIQTSRCC0.94—Unverified
2CONTRIQUESRCC0.93—Unverified
3ChipQASRCC0.63—Unverified
4VBLIINDSSRCC0.48—Unverified
5ChipQA-0SRCC0.4—Unverified
6BRISQUESRCC0.27—Unverified
7TLVQMSRCC0.23—Unverified
#ModelMetricClaimedVerifiedStatus
1ChipQASRCC0.76—Unverified
2ChipQA-0SRCC0.75—Unverified
3TLVQMSRCC0.75—Unverified
4RAPIQUESRCC0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1ST-GREEDSRCC0.88—Unverified
2GREED-VMAFSRCC0.87—Unverified
3GSTISRCC0.81—Unverified