MDLSeg: Parameter-Free Video Scene Segmentation via Minimum Description Length
Academic paper proposing a parameter-free scene-segmentation method claimed to outperform PySceneDetect.
Link
Related resources
- SceneSegmentation-SCRLOfficial PyTorch implementation of CVPR 2022 Scene Consistency Representation Learning for movie-level scene segmentation (MovieNet/SceneSe…
- 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.
- 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…
- 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.
- SpectroMap: Peak Detection Algorithm for Audio FingerprintingAcademic paper on a peak-detection algorithm for audio fingerprinting with implementation.
- 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.