Understanding how to compute and utilize video quality metrics is critical for encoding professionals. Our course, Computing and Using Video Quality Metrics, is one of the only courses on this subject. I’m thrilled to share Cristi Corobana’s latest five-star review of this course, which underscores its instructive nature and professionalism. You can read it above.
Here’s a brief overview of the course.
This course is for:
- Encoding professionals who want to use testing data to optimize their encoding ladders and encoding configurations
- Encoding professionals who want to quantity the benefits of adopting a new codec
- Researchers seeking to produce and interpret BD-Rate computations and Rate-Distortion Curves
You Will Learn:
- The pros and cons of common metrics like VMAF, PSNR, Apple AVQT, and SSIM
- How to compute these metrics and interpret the scores
- How to create rate-distortion curves and compute BD-Rate functions for internal decision-making or articles and presentations
- How to compute weighted average bandwidth savings and quality impact to determine the true benefits of adopting a new codec
- How to use these results to make decisions like choosing the optimal encoding parameters or preset, building an encoding ladder, and choosing an encoder
- How to use tools like the Moscow State University Video Quality Metric Tool, FFmetrics, and FFmpeg to compute these metrics
Here’s to unlocking the full potential of video encoding through data-driven insights. You can review the course curriculum and view multiple free preview lessons here.