• Re-organized README. Added a reference page with a list of papers/techblogs/presentation on VMAF.
• VMAF prediction now comes with a 95% confidence interval (CI), which quantifies the uncertainty in a trained VMAF model. The CI is established through bootstrapping on the prediction residue using the training data points. To enable CI, use the option --ci in the command line tools (run_vmaf, run_vmaf_in_batch, ffmpeg2vmaf, vmafossexec) with a bootstrapping model such as model/vmaf_rb_v0.6.2/vmaf_rb_v0.6.2.pkl.
• Added 4K VMAF model under model/vmaf_4k_v0.6.1.pkl, which predicts the subjective quality of video displayed on a 4KTV and viewed from the distance of 1.5X the display height.
• Update libvmaf version to 1.3.7 after compute_vmaf() interface change (added conf_interval argument).
• Added new models: 1) model/vmaf_4k_v0.6.1.pkl for 4KTV viewing at distance 1.5H, 2) model/vmaf_rb_v0.6.2/vmaf_rb_v0.6.2.pkl for VMAF prediction with a confidence interval, 3) model/vmaf_4k_rb_v0.6.2/vmaf_4k_rb_v0.6.2.pkl for 4KTV viewing at distance 1.5H, with a confidence interval.