ITU-T J.149 FRENCH-2004
视频质量度量(VQM)的准确度及交叉校正的说明方法.9号研究组

Method for specifying accuracy and cross-calibration of Video Quality Metrics (VQM)

ITU-T J.149 FRENCH-2004 发布历史

Video quality metrics are intended to provide calculated values that are strongly correlated with viewer subjective assessments. This Recommendation provides: a) methods for curve fitting VQM objective values to subjective data in order to facilitate the accuracy calculation and to produce a normalized objective value scale that can be used for cross-correlation between different VQMs; b) an algorithm (based on statistical analysis relative to subjective data) to quantify the accuracy of a given VQM; c) a simplified root mean square error calculation to quantify the accuracy of a VQM when the subjective data has roughly equal variance across the VQM scale; d) a method to plot classification errors to determine the relative frequencies of "false tie", "false differentiation", "false ranking", and "correct decision" for a given VQM.

ITU-T J.149 FRENCH-2004由国际电信联盟 IX-ITU 发布于 2004-03-01。

ITU-T J.149 FRENCH-2004 在中国标准分类中归属于: M60 广播、电视网综合。

ITU-T J.149 FRENCH-2004 发布之时，引用了标准

• ITU-R BT.500-11-2002 电视图象质量主观评定的方法论
• ATIS T1.TR.73-2001 给水用1/2 In.(12 mm)到2 In.(50 mm)聚乙烯-铝-聚乙烯和交联聚乙烯-铝-交联聚乙烯复合压力管*， 2022-07-24 更新
• ATIS T1.TR.74-2001 给水用1/2 In.(12 mm)到2 In.(50 mm)聚乙烯-铝-聚乙烯和交联聚乙烯-铝-交联聚乙烯复合压力管*， 2022-07-24 更新
• ATIS T1.TR.75-2001 给水用1/2 In.(12 mm)到2 In.(50 mm)聚乙烯-铝-聚乙烯和交联聚乙烯-铝-交联聚乙烯复合压力管*， 2022-07-24 更新
• ATIS T1.TR.77-2002 给水用1/2 In.(12 mm)到2 In.(50 mm)聚乙烯-铝-聚乙烯和交联聚乙烯-铝-交联聚乙烯复合压力管
• ANSI T1.801.01-1995 可视电话会议/可视电话信号的数字传送.主观和客观性能评定的视频试验现场

* 在 ITU-T J.149 FRENCH-2004 发布之后有更新，请注意新发布标准的变化。

ITU-T J.149 FRENCH-2004的历代版本如下：

• 2004年03月01日 ITU-T J.149 FRENCH-2004 视频质量度量(VQM)的准确度及交叉校正的说明方法.9号研究组

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标准号

ITU-T J.149 FRENCH-2004

发布日期

2004年03月01日

实施日期

废止日期

无

中国标准分类号

M60

发布单位

IX-ITU

适用范围

Video quality metrics are intended to provide calculated values that are strongly correlated with viewer subjective assessments. This Recommendation provides: a) methods for curve fitting VQM objective values to subjective data in order to facilitate the accuracy calculation and to produce a normalized objective value scale that can be used for cross-correlation between different VQMs; b) an algorithm (based on statistical analysis relative to subjective data) to quantify the accuracy of a given VQM; c) a simplified root mean square error calculation to quantify the accuracy of a VQM when the subjective data has roughly equal variance across the VQM scale; d) a method to plot classification errors to determine the relative frequencies of "false tie", "false differentiation", "false ranking", and "correct decision" for a given VQM.