Even Netflix and YouTube can not afford to put thousands of people in front of a TV and let them rate the quality of their encodes. However, it requires us to watch all of our encodes multiple times, which obviously only scales to a certain degree. This simple scoring system is often referred to as the Mean Opinion Score (MOS). For instance, we can rate the quality of our encodes on a scale from 1 to 5, with 1 being bad and 5 being very good. The most straightforward way to determine the quality of a video is by watching it and assigning a subjective quality score. As an example, this is a mandatory step for per-title encoding, which I explained in one of my previous blog posts. Let us assume that we’ve created multiple encodes from our high quality source video and would like to check if the quality of our encodes is sufficient enough to deliver the video to the end user. In this blog post, I will explain how to calculate the Video Multi-Method Assessment Fusion (VMAF) and Peak signal-to-noise-ratio (PSNR) scores in a single FFmpeg command, and produce the results in JSON format or a text file. Depending on the concrete use case, however, it can be challenging to assemble the right command. FFmpeg is a great tool for video processing, it basically allows us to manipulate videos any way we like.

Ffmpeg resize video 1080p