LEADTOOLS Audio and Video Processing Filters

Description

LEADTOOLS offers a comprehensive collection of DirectShow filters and Media Foundation transforms for processing and enhancing audio and video content within .NET and C/C++ applications. These filters can be applied in real-time during playback or live capture, or during conversion for post-processing and editing.

URL

• Visit resource

Related resources

• BackgroundMattingV2Real-time high-resolution background matting requiring a captured background plate, achieving 4K 30fps on RTX 2080 Ti, companion to arXiv:2…
• RobustVideoMattingReal-time human video matting via recurrent neural network requiring no green screen, achieving 4K 76FPS on GTX 1080 Ti, companion to arXiv…
• QCTools Playback Filters (BAVC)Documentation for QCTools histogram, vectorscope, waveform, and CIE scope filters used in archival video quality control.
• SparseSync: Audio-Visual Synchronisation with Trainable SelectorsBMVC 2022 Spotlight paper and code for sparse-in-space-and-time audio-visual sync detection.
• PanakoContent-based audio search and fingerprinting system robust to noise and distortion, with stream-monitoring subapps, academic-backed.
• 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.
• nr-vqa-consumervideoNo-reference video quality metric tuned for consumer video capture artifacts (sensor noise, motion blur, shake) rather than compression art…
• 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.