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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
Rich Features for Perceptual Quality Assessment of UGC Videos—0
RMT-BVQA: Recurrent Memory Transformer-based Blind Video Quality Assessment for Enhanced Video Content—0
SB-VQA: A Stack-Based Video Quality Assessment Framework for Video Enhancement—0
Secure Video Quality Assessment Resisting Adversarial Attacks—0
Semantically-Aware Game Image Quality Assessment—0
Semi-supervised Learning of Perceptual Video Quality by Generating Consistent Pairwise Pseudo-Ranks—0
Study of Subjective and Objective Quality Assessment of Mobile Cloud Gaming Videos—0
Study of the effect of Sharpness on Blind Video Quality Assessment—0
Subjective and Objective Analysis of Streamed Gaming Videos—0
Subjective and Objective Quality Assessment of Rendered Human Avatar Videos in Virtual Reality—0
Subjective and Objective Quality Assessment Methods of Stereoscopic Videos with Visibility Affecting Distortions—0
TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs—0
Telepresence Video Quality Assessment—0
Video Quality Assessment and Coding Complexity of the Versatile Video Coding Standard—0
Video Quality Assessment Based on Swin TransformerV2 and Coarse to Fine Strategy—0
Video Quality Assessment for Computer Graphics Applications—0
Video Quality Assessment for Online Processing: From Spatial to Temporal Sampling—0
Visual Mechanisms Inspired Efficient Transformers for Image and Video Quality Assessment—0
VMAF And Variants: Towards A Unified VQA—0
Learned Scanpaths Aid Blind Panoramic Video Quality AssessmentCode0
StarVQA+: Co-training Space-Time Attention for Video Quality AssessmentCode0
StarVQA: Space-Time Attention for Video Quality AssessmentCode0
Knowledge Guided Semi-Supervised Learning for Quality Assessment of User Generated VideosCode0
Visualizing and Understanding Convolutional NetworksCode0
Perceptual Quality Assessment of Virtual Reality Videos in the WildCode0
Study on the Assessment of the Quality of Experience of Streaming VideoCode0
Joint Optimization for SSIM-Based CTU-Level Bit Allocation and Rate Distortion OptimizationCode0
Adaptive Score Alignment Learning for Continual Perceptual Quality Assessment of 360-Degree Videos in Virtual RealityCode0
Subjective and Objective Audio-Visual Quality Assessment for User Generated ContentCode0
Subjective and Objective Quality Assessment of High-Motion Sports Videos at Low-BitratesCode0
AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and ResultsCode0
Viewport Proposal CNN for 360deg Video Quality AssessmentCode0
VILA: Learning Image Aesthetics from User Comments with Vision-Language PretrainingCode0
Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified ModelCode0
Test-Time Training with Self-Supervision for Generalization under Distribution ShiftsCode0
GAMIVAL: Video Quality Prediction on Mobile Cloud Gaming ContentCode0
NTIRE 2025 Challenge on Video Quality Enhancement for Video Conferencing: Datasets, Methods and ResultsCode0
FVQ: A Large-Scale Dataset and A LMM-based Method for Face Video Quality AssessmentCode0
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityCode0
No-Reference Video Quality Assessment Using Space-Time ChipsCode0
TINQ: Temporal Inconsistency Guided Blind Video Quality AssessmentCode0
Exploring the Effectiveness of Video Perceptual Representation in Blind Video Quality AssessmentCode0
PieAPP: Perceptual Image-Error Assessment through Pairwise PreferenceCode0
Power of Tempospatially Unified Spectral Density for Perceptual Video Quality AssessmentCode0
A Neural Network based Framework for Effective Laparoscopic Video Quality AssessmentCode0
DisCoVQA: Temporal Distortion-Content Transformers for Video Quality AssessmentCode0
DDH-QA: A Dynamic Digital Humans Quality Assessment DatabaseCode0
Evaluating Point Cloud from Moving Camera Videos: A No-Reference MetricCode0
No-Reference Video Quality Assessment Based on Benford’s Law and Perceptual FeaturesCode0
Two-Level Approach for No-Reference Consumer Video Quality AssessmentCode0
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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