06.04.2022, 19:58
Yes there would be multiple re-encodings (even via binary search of the crf equivalent, without having to massively increase attempts for other setting changes which at that point would be so many attempts that the machine learning route would be preferable as a best setting search approach)
Also by dividing by scenes, just following the principle of constant quality, you would get a quality advantage the more the scenes are different from each other.
And also more speed if there was not already enough parallel computation.
It seems to me that the Aomedia AV1 encoder has already implemented a setting to adjust the quality according to the VMAF value but I think the next step is to find an homogeneous division of the scenes compared to consider the whole video and average the VMAF value (I'm not an expert in the field nor can I be sure that the Aomedia encoder is not already designed this way).
I simply wanted to suggest a different mode that I was impressed to find in Av1an.
Also by dividing by scenes, just following the principle of constant quality, you would get a quality advantage the more the scenes are different from each other.
And also more speed if there was not already enough parallel computation.
It seems to me that the Aomedia AV1 encoder has already implemented a setting to adjust the quality according to the VMAF value but I think the next step is to find an homogeneous division of the scenes compared to consider the whole video and average the VMAF value (I'm not an expert in the field nor can I be sure that the Aomedia encoder is not already designed this way).
I simply wanted to suggest a different mode that I was impressed to find in Av1an.