Factors in Picture Quality - Contrasting Pixel Fidelity, Quality of Content and Quality of Experience
RSVP: Pizza and beverages will be provided by AJA Video. Please RSVP to email@example.com by February 10, 2012.
In this meeting, we will quantify and identify the major components of the Human Vision System through an instructional self-guided tour. The audience will get to experience an ITR-U BT.500 Dual Blind Stimulus Test for scoring video content using examples from MPEG2, H.264, VC-1 and Web-M.
An adaptable model for Human Vision enables comparison of video with dissimilar image sizes, viewing environments, frame rates, video quality classes, etc. (for example HD vs. SD vs. CIF). In video systems, a wide range of video processing devices can affect overall picture quality. We will contrast Picture Quality against the Quality of Experience for Broadcast digital TV that originates from a wide variety of sources, and then passes through a myriad of devices, before finally reaching the viewer. It assumes that the source material is free from defects, but this is not always true. Even if the source material is free from video and transmission artifacts, the wide array of devices that this material passes through often adds minor and occasionally major defects to the video. This discussion is about understanding how to pinpoint when and where degradation has occurred.
This presentation will be led by Steve Holmes, Video Application Engineer. Steve has been with Tektronix for 12 years and has over 25 years of video experience. Prior to working at Tektronix, Steve spent 20 years installing, teaching, engineering, and managing Video and CATV systems. Today, Steve consults and teaches test methodologies for Broadcast, Studio, Cable and Manufacturing for customers based in the Western United States and Western Canada.
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