VOCAL Technologies Video Software Library

VOCAL Technologies provides a comprehensive video software library that includes industry-standard video codecs, multi-channel video frameworks, voice and video over IP solutions, VoIP vocoders, and voice enhancement tools. These resources support a range of video communications

Link

• Visit resource

Related resources

• VQEG Software ToolsVideo Quality Experts Group's curated index of academic/industry video quality assessment software tools and research collaboration hub.
• 5G QoE Prediction: ML-based Quality-Shift Prediction for Video StreamingMachine-learning quality-shift prediction for video streaming over 5G networks, includes 1-sec granularity CLM/YouTube QoE dataset, compani…
• 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.
• audioprintPython MFCC-based perceptual-hash audio fingerprinting library.
• spectreGo audio fingerprinting library built specifically for syncing movie subtitles to audio tracks.
• 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.
• nr-vqa-consumervideoNo-reference video quality metric tuned for consumer video capture artifacts (sensor noise, motion blur, shake) rather than compression art…