mlsanityData to 7 Oct 2026

YouTube UGC Dataset for Video Compression Research

arXiv 1904.06457 ↗First posted 13 Apr 2019cs.MM eess.IVcited by 124

Not on the map. Why?

Abstract (arXiv)

Non-professional video, commonly known as User Generated Content (UGC) has become very popular in today's video sharing applications. However, traditional metrics used in compression and quality assessment, like BD-Rate and PSNR, are designed for pristine originals. Thus, their accuracy drops significantly when being applied on non-pristine originals (the majority of UGC). Understanding difficulties for compression and quality assessment in the scenario of UGC is important, but there are few public UGC datasets available for research. This paper introduces a large scale UGC dataset (1500 20 sec video clips) sampled from millions of YouTube videos. The dataset covers popular categories like Gaming, Sports, and new features like High Dynamic Range (HDR). Besides a novel sampling method based on features extracted from encoding, challenges for UGC compression and quality evaluation are also discussed. Shortcomings of traditional reference-based metrics on UGC are addressed. We demonstrate a promising way to evaluate UGC quality by no-reference objective quality metrics, and evaluate the current dataset with three no-reference metrics (Noise, Banding, and SLEEQ).

Key facts. Cited by 124 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Apr 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 13; 2023: 28; 2024: 35; 2025: 24; 2026: 18.

124 papers.

Sort:

By area:

  1. 2022Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectivescited by 314
  2. 2022A Review of Safe Reinforcement Learning: Methods, Theory and Applicationscited by 169
  3. 2022A Deep Learning based No-reference Quality Assessment Model for UGC Videoscited by 128
  4. 2021RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Contentcited by 100
  5. 2021Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perceptioncited by 97
  6. 2023MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videoscited by 46
  7. 2023Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approachcited by 45
  8. 2023Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Modelscited by 38
  9. 2024KVQ: Kwai Video Quality Assessment for Short-form Videoscited by 38
  10. 2024NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Resultscited by 29
  11. 2024LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Modelscited by 28
  12. 2024FineVQ: Fine-Grained User Generated Content Video Quality Assessmentcited by 28
38 more
  1. 2022MuZero with Self-competition for Rate Control in VP9 Video Compressioncited by 27
  2. 2022Video compression dataset and benchmark of learning-based video-quality metricscited by 27
  3. 2024Quality Assessment in the Era of Large Models: A Surveycited by 26
  4. 2022Exploring the Effectiveness of Video Perceptual Representation in Blind Video Quality Assessmentcited by 25
  5. 2023Exploring Opinion-unaware Video Quality Assessment with Semantic Affinity Criterioncited by 23
  6. 2024Modular Blind Video Quality Assessmentcited by 23
  7. 2021ChipQA: No-Reference Video Quality Prediction via Space-Time Chipscited by 22
  8. 2023Q-Boost: On Visual Quality Assessment Ability of Low-level Multi-Modality Foundation Modelscited by 22
  9. 2023Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessmentcited by 21
  10. 2023Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessmentcited by 20
  11. 2022CONVIQT: Contrastive Video Quality Estimatorcited by 19
  12. 2024Enhancing Blind Video Quality Assessment with Rich Quality-aware Featurescited by 19
  13. 2023Capturing Co-existing Distortions in User-Generated Content for No-reference Video Quality Assessmentcited by 18
  14. 2024PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wildcited by 17
  15. 2023Towards Robust Text-Prompted Semantic Criterion for In-the-Wild Video Quality Assessmentcited by 16
  16. 2021A strong baseline for image and video quality assessmentcited by 15
  17. 2023StableVQA: A Deep No-Reference Quality Assessment Model for Video Stabilitycited by 15
  18. 2024VQA2: Visual Question Answering for Video Quality Assessmentcited by 15
  19. 2024Video Quality Assessment: A Comprehensive Surveycited by 15
  20. 2022Subjective and Objective Analysis of Streamed Gaming Videoscited by 14
  21. 2023Perceptual Quality Assessment of Face Video Compression: A Benchmark and An Effective Methodcited by 14
  22. 2023Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Methodcited by 14
  23. 2024Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessmentcited by 13
  24. 2023Light-VQA: A Multi-Dimensional Quality Assessment Model for Low-Light Video Enhancementcited by 12
  25. 2023Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attackscited by 12
  26. 2024Spatial-Semantic Collaborative Cropping for User Generated Contentcited by 12
  27. 2023Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Modelscited by 11
  28. 2023CLiF-VQA: Enhancing Video Quality Assessment by Incorporating High-Level Semantic Information related to Human Feelingscited by 11
  29. 2024CLIPVQA:Video Quality Assessment via CLIPcited by 11
  30. 2025KVQ: Boosting Video Quality Assessment via Saliency-guided Local Perceptioncited by 11
  31. 2022FAVER: Blind Quality Prediction of Variable Frame Rate Videoscited by 10
  32. 2023GRACE: Loss-Resilient Real-Time Video through Neural Codecscited by 9
  33. 2024YouTube SFV+HDR Quality Datasetcited by 9
  34. 2025VQAThinker: Exploring Generalizable and Explainable Video Quality Assessment via Reinforcement Learningcited by 9
  35. 2024QPT V2: Masked Image Modeling Advances Visual Scoringcited by 8
  36. 2023HDR or SDR? A Subjective and Objective Study of Scaled and Compressed Videoscited by 7
  37. 2023HIDRO-VQA: High Dynamic Range Oracle for Video Quality Assessmentcited by 7
  38. 2023Knowledge Guided Semi-Supervised Learning for Quality Assessment of User Generated Videoscited by 7

50 most cited of 124 All 124 (JSON)