user22404: I've been encoding some clips and then analyzing them with the VMAF tool from Netflix, but I don't know how to understand the results.
This is the overall mean section of one of my tests.
VMAF_feature_adm2_score:0.982934
VMAF_feature_motion2_score:2.262897
VMAF_feature_vif_scale0_score:0.727423
VMAF_feature_vif_scale1_score:0.946992
VMAF_feature_vif_scale2_score:0.975502
VMAF_feature_vif_scale3_score:0.986295
VMAF_score:94.240835


user4169: The numbers don’t mean anything. They only have value when compared to other values. You can compare the results between two encodes of the same file and determine which encode produced better results.

user14523: In general, the higher the VMAF score, the higher the quality of the video will be perceived by the viewer. Lower VIF component and ADM scores indicate problems caused by intra-frame compression artifacts. A lower motion score indicates problems caused by inter-frame compression artifacts.

user32358: The VMAF models are actually trained by humans who rated the quality on a 1-5 point scale, watching the movie either on an 1080p screen from 3x screen height away, or on a 4k screen from 1.5x screen height away. This rating is mapped to VMAF scores 0, 20, 40, 60, and 80, while 100 is when they compare the source video to itself. Your score of 94.240835 is somewhere between what humans rated the highest and lossless.
The VIF scores refer to Visual Information Fidelity but I don't know what the scale numbers mean there. Don't know about adm2 or motion2 scores.

22404: <p>I've been encoding some clips and then analyzing them with the VMAF tool from Netflix, but I don't know how to understand the results.</p>

<p>This is the overall <code>mean</code> section of one of my tests.</p>

<pre><code>VMAF_feature_adm2_score:0.982934
VMAF_feature_motion2_score:2.262897
VMAF_feature_vif_scale0_score:0.727423
VMAF_feature_vif_scale1_score:0.946992
VMAF_feature_vif_scale2_score:0.975502
VMAF_feature_vif_scale3_score:0.986295
VMAF_score:94.240835
</code></pre>
 4169: <p>The numbers don’t mean anything. They only have value when compared to other values. You can compare the results between two encodes of the same file and determine which encode produced better results.</p>
 14523: <p>In general, the higher the <a href="https://medium.com/netflix-techblog/toward-a-practical-perceptual-video-quality-metric-653f208b9652" rel="nofollow noreferrer">VMAF score</a>, the higher the quality of the video will be perceived by the viewer. Lower VIF component and ADM scores indicate problems caused by intra-frame compression artifacts. A lower motion score indicates problems caused by inter-frame compression artifacts.</p>
 32358: <p>The VMAF models are actually trained by humans who rated the quality on a 1-5 point scale, watching the movie either on an 1080p screen from 3x screen height away, or on a 4k screen from 1.5x screen height away. This rating is mapped to VMAF scores 0, 20, 40, 60, and 80, while 100 is when they compare the source video to itself. Your score of 94.240835 is somewhere between what humans rated the highest and lossless.</p>
<p>The VIF scores refer to <a href="https://en.wikipedia.org/wiki/Visual_Information_Fidelity" rel="nofollow noreferrer">Visual Information Fidelity</a> but I don't know what the scale numbers mean there. Don't know about adm2 or motion2 scores.</p>
