ITU-T P.1203 & P.1204 Bitstream-Based QoE Models — Open Implementations

Description

Project hub for open source implementations of the ITU-T P.1203/P.1204 bitstream-based video QoE models, including code, datasets and validation resources.

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Related resources

• VQMTK: Video Quality Metrics ToolkitOpen-source cross-platform tool bundling 14 VQA metrics plus SI/TI spatial/temporal indicators, CLI or Jupyter web UI.
• ic-metricsOptimized C++ implementation of SSIMULACRA2/SSIM/MS-SSIM, roughly 25-30% faster via sub-score pruning.
• nr-vqa-consumervideoNo-reference video quality metric tuned for consumer video capture artifacts (sensor noise, motion blur, shake) rather than compression art…
• 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…
• OpenReel VideoBrowser-based open-source CapCut-style video editor with no cloud upload or watermark.
• 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.
• 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.
• 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.
• 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.
• VMAF-torchPyTorch reimplementation of VMAF metric, GPU/gradient-friendly for use in learned codec optimization loops.