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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
PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild—0
Deep Video Quality Assessor: From Spatio-temporal Visual Sensitivity to A Convolutional Neural Aggregation Network—0
Q-Boost: On Visual Quality Assessment Ability of Low-level Multi-Modality Foundation Models—0
An Ensemble Approach to Short-form Video Quality Assessment Using Multimodal LLM—0
Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities—0
RankDVQA-mini: Knowledge Distillation-Driven Deep Video Quality Assessment—0
Deep Quality Assessment of Compressed Videos: A Subjective and Objective Study—0
Deep Priors for Video Quality Prediction—0
A Multi-annotated and Multi-modal Dataset for Wide-angle Video Quality Assessment—0
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
Saliency-Aware Spatio-Temporal Artifact Detection for Compressed Video Quality Assessment—0
SB-VQA: A Stack-Based Video Quality Assessment Framework for Video Enhancement—0
DCVQE: A Hierarchical Transformer for Video Quality Assessment—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
CP-LLM: Context and Pixel Aware Large Language Model for Video Quality Assessment—0
A Framework to Map VMAF with the Probability of Just Noticeable Difference between Video Encoding Recipes—0
Convolutional Neural Networks for 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
Comparative Studies of Unsupervised and Supervised Learning Methods based on Multimedia Applications—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
Video Quality Assessment for Computer Graphics Applications—0
Comment on "No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features"—0
Subjective and Objective Analysis of Streamed Gaming Videos—0
Video Quality Assessment for Online Processing: From Spatial to Temporal Sampling—0
Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment—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
A Comparative Evaluation of Temporal Pooling Methods for Blind Video Quality Assessment—0
CLiF-VQA: Enhancing Video Quality Assessment by Incorporating High-Level Semantic Information related to Human Feelings—0
Capturing Video Frame Rate Variations via Entropic Differencing—0
Image quality assessment: from error visibility to structural similarity—0
Image information and visual quality—0
Image quality prediction using synthetic and natural codebooks: comparative results—0
Improving precision of objective image/video quality metrics—0
InternVQA: Advancing Compressed Video Quality Assessment with Distilling Large Foundation Model—0
Capturing Co-existing Distortions in User-Generated Content for No-reference Video Quality Assessment—0
C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network—0
HVS Revisited: A Comprehensive Video Quality Assessment Framework—0
Human-Activity AGV Quality Assessment: A Benchmark Dataset and an Objective Evaluation Metric—0
Highly Efficient No-reference 4K Video Quality Assessment with Full-Pixel Covering Sampling and Training Strategy—0
Large-Scale Study of Perceptual Video Quality—0
Latent Factor Modeling of Users Subjective Perception for Stereoscopic 3D Video Recommendation—0
Latent Image and Video Resolution Prediction using Convolutional Neural Networks—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 (v061)SRCC0.94—Unverified
2VMAF Y (v062)SRCC0.94—Unverified
3VMAF Y (v063)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