mediameta
Description
Rust native-first media metadata extraction library (creation date, resolution) with optional external-tool fallback via feature flag.
Resource details
- Category path
- Media Tools›Metadata Extraction & Management
- Provider
- Not yet classified
- Format
- Not yet classified
- Skill level
- Not yet classified
mediameta is cataloged in Media Tools and Metadata Extraction & Management. Provider: Not yet classified. Format: Not yet classified. Skill level: Not yet classified.
URL
Related resources
- ExifToolGold-standard metadata tool reading/writing 30,000+ tags across hundreds of formats including video containers.
- VideoTaggingToolAngular.js web app for managing users, videos, and tagging jobs with an extensible metadata schema for video annotation.
- alass — Automatic Language-Agnostic Subtitle SynchronizationRust CLI tool for automatic subtitle sync handling offset drift, ad-break splits, and framerate differences, 88-98% good-sync rate.
- vast-playerBrowser VAST linear-creative ad playback library: ad tag requests, wrapper resolution, MediaFile selection, VPAID init, and tracking pixels.
- BackgroundMattingV2Real-time high-resolution background matting requiring a captured background plate, achieving 4K 30fps on RTX 2080 Ti, companion to arXiv:2…
- 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.