FASTech.io’s Video Optimizer
We took only a cursory glance at FASTech,
which is a startup hosted at the Qualcomm Institute Innovation Space and at StartR, an accelerator at the Rady School of Management
at the University of California–San Diego. According to a brochure on its website ( fastech.io),
FASTech’s Video Optimizer “employs proprietary technology to build a model for each video based on FASTech’s large-scale quantitative
analyses and subjective perceptual tests.” This is
used to “find optimal compression settings and
obtain high compression rates while keeping excellent perceptual quality.” The technology is currently available as a cloud service, with pricing
based upon bandwidth savings or a fixed license.
Referring to Table 1, FASTech deploys a fixed
output ladder in terms of the number and resolution of rungs, adjusting only file data rate.
We tested three files with FASTech. Results were
good in the higher motion file, but FASTech over-
cooked the two lower motion files, dropping the
data rate of the screencam file by 118%, but
dropping PSNR from 56. 99 to 39. 32, and VMAF
by 7. 14. However, I didn’t have time to deploy
post-encode quality checks, which are available,
to avoid these issues.
FASTech’s technology was originally deployed
to optimize single files for archiving and similar purposes, and the company only recently
added the ability to create encoding ladders. So
consider it a work in process. That said, if you’re
building a cloud-based encoding workflow, and
want to add per-title capabilities, FASTech is
your only option.
Jan Ozer ( firstname.lastname@example.org) is a streaming
media producer and consultant, a frequent contributor to industry
magazines and websites on streaming-related topics, and the
author of Video Encoding by the Numbers. He blogs frequently at
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