So, for this article, I compared the before
and after results using the same number of
rungs and resolutions. While this article is moving through the publishing process, I’ll rerun
the analysis, and will update the results in the
Cambria review on StreamingMedia.com.
To conclude our feature table analysis, Cambria’s data rate control is completely independent of complexity value; you can use CBR, VBR,
or a mix on the different rungs in your encoding ladder.
Cambria had a perfect 14–0 record on our
box score, and played error-free ball with two
home runs. While Cambria’s savings lagged
behind those delivered by both other technol-
ogies, note that this is a function of the script,
not the product. Had I included lower adjust-
ment values (if under 1200, cut to 20% of the
original bitrate), I could have recouped much
of the savings, and I’ll try this for the updat-
ed results. There were no saves in our cur-
rent analysis, but SABL may cut some rungs
during our updated tests, which would count
Cambria had two home runs, which look identical to the left side of Figure 1, and no bloopers,
and overall proved to be a steady, reliable performer. Check the Streaming Media website to
see if the updated tests show superstar potential.
Brightcove’s Context Aware Encoding
Brightcove’s Context Aware Encoding (CAE)
is the newest product in the group, and it’s
still in beta, or in the parlance of this article,
the preseason. As you can see in Table 3, CAE
hit the most home runs and earned the sec-ond-most saves, but also recorded the most
errors, exclusively in the form of encoding
ladder gaps in excess of 2.05x. So it will be interesting to see how CAE performs in the regular season (the product is scheduled to ship
in Q4 2017).
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