Hybrid metrics

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Our hybrid metrics are built upon our no reference metrics and our parametric metrics.

These metrics explore the decoded images looking for distortions (blockiness, blur, etc.) but they also extract several information from the bitstream, like the location of the badly reconstructed blocks (due to lost or corrupted video packets). That's why hybrid metrics combine the best of the two worlds, enabling to increase again the precision of the computed quality scores.

These hybrid metrics are specially interesting when measuring the impact of transmission errors on perceived video quality.

For each codec, the corresponding metric measures the distortions generated by the encoding:

  • Hybrid metric for MPEG-2 video: measurement of blockiness visibility, measurement of blur perception, detection of badly decoded blocks (due to transmission errors or packets loss).
  • Hybrid metric for H.264 video: measurement of blockiness visibility, measurement of blur perception, measurement of contrast between macroblocs (because of the deblocking filter), detection of badly decoded blocks (due to transmission errors or packets loss).

Related product: Video Quality Monitor (get a free evaluation version).