5G QoE Prediction: ML-based Quality-Shift Prediction for Video Streaming
Machine-learning quality-shift prediction for video streaming over 5G networks, includes 1-sec granularity CLM/YouTube QoE dataset, companion to arXiv:2504.17938.
Link
Related resources
- KSQI: Knowledge-driven Streaming Quality IndexKnowledge-driven QoE model for adaptive streaming video with implementations of multiple objective QoE models, companion to arXiv:1911.0794…
- GHVQ: Benchmark and Metric for AI-Generated Human-Activity Video QualityAcademic paper introducing a benchmark dataset and objective quality metric for AI-generated human-activity video, with companion code.
- 2BiVQA: Double Bi-LSTM No-Reference Video Quality AssessmentNo-reference VQA model for UGC video using double Bi-LSTM, companion code to arXiv:2208.14774.
- KVQ: NTIRE 2024 Short-form UGC Video Quality Assessment ChallengeCVPR NTIRE 2024 challenge dataset and code for short-form UGC video quality assessment, 600 videos/3600 processed clips.
- Encoder-Quantization-Motion (EQM) Video Quality MetricAcademic paper on an encoder-side video quality metric for low-latency use, addressing gaps in VMAF/P.1204.3 via contrast/motion masking an…
- Evaluating Video Quality Metrics for Neural and Traditional Codecs (4K/UHD-1)Academic comparison of VMAF, AVQBits, and FasterVQA no-reference quality metrics on 4K content.
- CompressedVQA: Full/No-Reference VQA for Compressed UGC VideoICME 2021 grand challenge-winning full-reference and no-reference video quality models for compressed user-generated content.
- Bitrate Ladder Construction via Transfer Learning and Spatio-Temporal FeaturesML-based bitrate ladder optimization achieving 94.1% complexity reduction at only 1.71% BD-rate cost using transfer learning.
- nr-vqa-consumervideoNo-reference video quality metric tuned for consumer video capture artifacts (sensor noise, motion blur, shake) rather than compression art…
- VMAF-torchPyTorch reimplementation of VMAF metric, GPU/gradient-friendly for use in learned codec optimization loops.