Subjective-statistics calculator

A dependency-light Python script (standard library only) that turns a ratings matrix into a defensible result. It computes (1) each clip's MOS with its 95% confidence interval both ways — the ITU-R BT.500-15 normal multiplier 1.96 and the ITU-T P.910 Student's-t multiplier correct for small panels; (2) the SOS-hypothesis parameter a (Hossfeld/Schatz/Egger 2011) as a sanity check on subject disagreement; (3) a significance test between two conditions, paired (same subjects) or two-sample, reporti

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Book cover: Video Encoding, Volume 1 of the Fora Soft Video Engineering HandbookBook cover: Video Streaming, Volume 3 of the Fora Soft Video Engineering HandbookBook cover: AI for Video, Volume 6 of the Fora Soft Video Engineering Handbook

The handbook · 7 volumes

Fora Soft Video Engineering Handbook

This subjective-statistics calculator turns a ratings matrix into MOS with confidence intervals, an SOS sanity check and significance tests between conditions. Our seven-volume handbook covers where those scores are used: Volume 1 on quality metrics and how codecs are compared, Volume 3 on QoE in delivery, and Volume 6 on the ML basics behind AI quality models trained on such ratings. Written by Nikolay Sapunov, CEO at Fora Soft.

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Running a subjective video quality study and need defensible statistics?

Send us your ratings data or test plan: we return the MOS analysis, confidence intervals and a clear verdict on which condition wins. 250+ video products shipped since 2005.

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