About: Visual information fidelity

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Visual information fidelity (VIF) is a full reference image quality assessment index based on natural scene statistics and the notion of image information extracted by the human visual system. It was developed by Hamid R Sheikh and Alan Bovik at the Laboratory for Image and Video Engineering (LIVE) at the University of Texas at Austin in 2006. It is deployed in the core of the Netflix VMAF video quality monitoring system, which controls the picture quality of all encoded videos streamed by Netflix.

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  • Visual information fidelity (VIF) is a full reference image quality assessment index based on natural scene statistics and the notion of image information extracted by the human visual system. It was developed by Hamid R Sheikh and Alan Bovik at the Laboratory for Image and Video Engineering (LIVE) at the University of Texas at Austin in 2006. It is deployed in the core of the Netflix VMAF video quality monitoring system, which controls the picture quality of all encoded videos streamed by Netflix. (en)
  • 視覺信號保真度（VIF）是一種評估影像品質的方法，為基於自然場景統計和由提取影像信號的概念的圖像質量評估參數。它由和於2006年在德克薩斯大學奧斯汀分校圖像和視頻工程實驗室（LIVE）開發，結果顯示它與人類對影像質量的判斷非常相近。VIF部署在Netflix VMAF的視頻質量監控系統中，該系統控制Netflix傳輸的所有編碼視頻的影像質量。這占美國所有頻寬消耗的35％，並且在全球視頻流量中也不斷增加。 (zh)
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  • Visual information fidelity (VIF) is a full reference image quality assessment index based on natural scene statistics and the notion of image information extracted by the human visual system. It was developed by Hamid R Sheikh and Alan Bovik at the Laboratory for Image and Video Engineering (LIVE) at the University of Texas at Austin in 2006. It is deployed in the core of the Netflix VMAF video quality monitoring system, which controls the picture quality of all encoded videos streamed by Netflix. (en)
  • 視覺信號保真度（VIF）是一種評估影像品質的方法，為基於自然場景統計和由提取影像信號的概念的圖像質量評估參數。它由和於2006年在德克薩斯大學奧斯汀分校圖像和視頻工程實驗室（LIVE）開發，結果顯示它與人類對影像質量的判斷非常相近。VIF部署在Netflix VMAF的視頻質量監控系統中，該系統控制Netflix傳輸的所有編碼視頻的影像質量。這占美國所有頻寬消耗的35％，並且在全球視頻流量中也不斷增加。 (zh)
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  • Visual information fidelity (en)
  • 視覺信號保真度 (zh)
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