We present the findings of a recent large-scale subjective study of video quality on a set of videos that have been distorted by a variety of application-relevant processes. Methods for Assessing the Visual Quality of Digital Videos as Perceived by Human Observers are Increasingly Important, Due to the Large Number of Applications that Target Humans as Video End Users. Because of the several approaches to video quality assessment (VQA) that are being developed, there is a need for a diverse independent public database of distorted videos and subjective scores that is free to use. The resulting Laboratory for Image and Video Engineering (LIVE) Video Quality Database includes 150 distorted videos (derived from 10 uncompressed reference videos of natural scenes). That were made using four different types of commonly seen distortions. 38 human subjects evaluated each video, and the difference mean opinion scores (DMOS) were recorded. On the New Database, we also evaluated the performance of many cutting-edge, publicly available full reference VQA algorithms. There is also a statistical evaluation of the relative performance of these algorithms. We shall explore Video Display for Subjective Video Quality Assessment in this study.
Video, Display, Subjective, Video, Quality, Assessment, Image, Video Engineering, Live, Natural Scenes, Recorded
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