SCF — Subtitling Conversion Framework (EBU)

Description

IRT's Subtitling Conversion Framework converting between EBU STL, EBU-TT Part 1 (Tech 3350/3360) and EBU-TT-D (Tech 3380) with strict conformance via XSLT and Python.

URL

• Visit resource

Related resources

• Normalize-AudioBatch EBU R128 loudness normalization tool for MKV files via ffmpeg, preserves video stream and caches loudness analysis.
• SubalignerAutomatic subtitle synchronization tool using deep neural networks and forced alignment, with translation support.
• mkv2mp4Cross-platform Python GUI for batch MKV→MP4 conversion, with fast remux when streams are compatible and auto-transcode fallback plus SRT→mo…
• python-video-converterPython library wrapping ffmpeg/ffprobe with a declarative Converter().convert() API for scripting format/audio/video conversion pipelines.
• A Gamut-Mapping Framework for Color-Accurate Reproduction of HDR ImagesAcademic paper (Sikudova et al.) proposing a gamut-mapping framework for color-accurate HDR image reproduction.
• 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.
• 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.