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PEVQ
PEVQ (Perceptual Evaluation of Video Quality) is a standardized end-to-end (E2E) measurement algorithm to score the picture quality of a video presentation by means of a 5-point mean opinion score (MOS). The measurement algorithm can be applied to analyze visible artifacts caused by a digital video encoding/decoding (or transcoding) process, RF- or IP-based transmission networks and end-user devices. Application scenarios address next generation networking and mobile services and include IPTV (Standard-definition television and HDTV), streaming video, Mobile TV, video telephony, video conferencing and video messaging.
== Measurement scope ==
The development for picture quality analysis algorithms available today started with still image models which were later enhanced to also cover motion pictures. The measurement paradigm is to assess degradations of a decoded video sequence output from the network (for example as received by a TV set top box) in comparison to the original reference picture (broadcast from the studio). Consequently, the setup is referred to as end-to-end (E2E) quality testing.
Because the setup is exactly reflecting the situation how human viewers would evaluate the video quality based on subjective comparison, it addresses Quality-of-Experience (QoE) testing. PEVQ is based on modelling the behaviour of the human visual tract and besides an overall quality MOS score (as a figure of merit) abnormalities in the video signal are quantified by a variety of KPIs, including PSNR, distortion indicators and lip-sync delay.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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