IRIS.ANALYST

Per-Title, Per-Shot, and Content-Adaptive Encoding with IRIS.ANALYST

Not all video content is created equal, different scenes require different bitrates to deliver high-quality results. While we want to avoid wasting bandwidth, we also aim to preserve every detail. IRIS.ANALYST enables smarter encoding decisions by analyzing spatial and temporal complexity at the per-title and per-shot level.

Noise and grain are part of a video's spatial and temporal signal. As noted by Netflix, these factors alone can impact bitrate needs by up to 30%. At Wavelet Beam, we've confirmed this: leveraging IRIS.ANALYST can lead to a 30% reduction in bitrate, while maintaining or improving perceived visual quality.

IRIS.ANALYST Feature Set:

  • Automatic selection of video noise profiles
  • Scene and cut detection for per-shot encoding
  • Measurement of video resolution, no test target required
  • Quantified video noise levels using PSNR [dB]
  • Spatial and temporal complexity measurement
  • Contrast and brightness evaluation

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The LA Downtown and Tiger clips above are zoomed and scaled from 9K to UHD (shot on 9x7).

Frequently Asked Questions

What does IRIS.ANALYST measure?

Among others: horizontal video resolution without a test target, noise levels per color channel, spatial energy, brightness and contrast, per shot.

What is IRIS.ANALYST used for?

Its per-shot metadata drives per-shot encoding in a single pass. With IRIS.ANALYST, bitrate reductions of up to 30% are possible while maintaining or improving perceived quality.