Video quality measurement — VMAF, PSNR, SSIM, per-title encoding.
Practical guide to golden-eyes panel review for video quality — content selection, review environment standards, methodology, reviewer training, when to use it vs automated metrics.
Practical guide to ABR ladder calibration via VMAF — representative content selection, per-rung VMAF target setting, bitrate sweep procedure, identifying ladder gaps, iteration.
Practical guide to validating VMAF against subjective MOS testing — ITU-R BT.500 methodology, golden viewer panel selection, when VMAF disagrees with MOS, calibration procedures.
Practical guide to Bjontegaard delta-rate calculation — the math, multi-bitrate encoding procedure, BD-rate VMAF vs PSNR, libbjontegaard tooling, interpreting results.
Practical reference on ABR ladder design — rung count, resolution choices, codec choices per rung, bitrate calibration, audience-mix-driven design, and the tradeoffs that matter in production.
Practical reference on per-title encoding — Netflix's approach, the analyze-then-encode workflow, content-aware bitrate selection via VMAF, operational tradeoffs, and ROI math.
Practical reference on the Structural Similarity Index — luminance, contrast, and structure components, MS-SSIM and SSIMplus variants, ITU-T standardization, and SSIM vs PSNR vs VMAF.
Practical reference on Peak Signal-to-Noise Ratio — mathematical definition, why PSNR persists as a metric despite perceptual limitations, where it still serves, and where it misleads.
Practical reference on Video Multi-Method Assessment Fusion — Netflix's perceptual quality metric, training methodology, libvmaf usage, BD-rate calculation, and the limits of automated metrics.