It measures VMAF, a video quality metric, faster than open source.
Very fast VMAF accelerator
There is an increasing need to measure video quality on a human subjective (perceptual) level. Although Netflix's VMAF is extensively used, its large computational load places a strain on computer expenses and processing time.
The vendor lowers the cost burden since it develops a VMAF-specific accelerator using semiconductor design techniques.
VMAF becoming widely used metric
Service Providers try to find the optimal combination(bit rate, resolution) for each video or shot so as to save storage and network costs while improving the user's viewing experience. Encoding and VMAF quality measuring must be done dozens of times to find the optimal combination, which necessitates a significant amount of computation resources. By leveraging BLUEDOT's semiconductor design technology, you can speed up VMAF quality measurements and reduce computing costs.