videoprocessing.ai: A Premier Research Platform for Video Quality and Processing Innovation

videoprocessing.ai is a leading research-driven platform from the MSU Graphics & Media Laboratory, dedicated to advancing video processing technologies through comprehensive, unbiased benchmarks and cutting-edge tools. It serves as a vital resource for researchers, engineers, and developers in academia and industry who are focused on video quality assessment, compression, super-resolution, colorization, deblurring, frame interpolation, HDR reconstruction, and stereoscopic video analysis. The platform enables algorithm comparison without code disclosure, supports large-scale subjective evaluations via Subjectify.us, and offers powerful tools like VQMT and VQMT3D with GPU acceleration and support for over 300 formats, including RAW and HDR. With a rich collection of datasets and extensive research publications, videoprocessing.ai drives innovation in video quality metrics and codec optimization.

Key Features:

• MSU Benchmark Collection: Extensive, unbiased benchmarks across diverse video processing tasks.
• Video Quality Measurement Tool (VQMT): Fast, accurate tool supporting over 20 objective metrics (SSIM, MS-SSIM, VMAF, PSNR, HDR PSNR, LPIPS, NIQE, etc.) with GPU acceleration (up to 11.7x speedup).
• VQMT3D: World-leading tool for 3D video quality assessment with 18 stereo quality metrics and analysis of over 100 3D Blu-ray movies.
• MSU Datasets Collection: High-quality, specialized datasets including real-world stereo mismatches, compressed VQA data, and video matting benchmarks.
• Subjectify.us Platform: Crowdsourced subjective quality evaluation with participation from thousands of viewers.
• Algorithm Comparison & Leaderboards: Secure, privacy-preserving submission system to compare methods across codecs and standards.
• Support for 300+ Formats: Full compatibility with video, image, RAW, and HDR formats.
• Cloud-Based Testing Pipelines: Automated, scalable evaluation workflows for efficient benchmarking.
• Visualization Tools: Advanced analytics with bar charts, RD curves, speed-quality charts, and confidence intervals.
• Python Interface (PyPI): Easy integration via a public Python package for VQMT.
• Extensive Research & Publications: Backed by NeurIPS and BMVC papers, with decades of expertise from the MSU Video Group.
• Industry Collaboration: Trusted by global tech leaders including Intel, Samsung, Google, NVIDIA, and Alibaba.
• Real-Time Processing & Unlimited File Size: High-performance, scalable analysis for demanding workflows.

Pricing: videoprocessing.ai offers a freemium model with multiple editions of VQMT: Free, Demo, Trial, PRO, Premium, and SDK, allowing users to access tools and benchmarks at various levels of functionality and support.

Conclusion: videoprocessing.ai stands as a gold-standard platform for video quality and processing research, combining academic rigor with real-world applicability, making it an indispensable asset for advancing video technology through transparent, data-rich, and community-driven benchmarking.