Video Quality Assessment, HDR and 4K

Speaker: Steve Holmes, Sr. Video Applications Engineer Tektronix, Inc.

Video Quality Assessment

Objective video quality assessment is a very complicated task, and some full-reference quality methods have had some success in making accurate quality predictions. Measurements that do not use a Human Vision Model can have low correlation to what we see, but measurements through a Human Vision Model can be a slow and tedious process and use a Full Reference measurement method. New methods now use a natural scene statistic-based distortion-generic blind/no-reference (NR) image quality assessment (IQA) model that operates in the spatial domain to make real time video quality assessments. We will look at some different methods that have been used before and one of the newer measurement methods. Topics covered will be:

• Quick Overview of the Human Vision system

• Contrast and Compare different Quality systems

• Full Reference based (FR) and Non Reference based (NR) Video quality measurements

• New test methods that are evolving

About the speaker: Steve Holmes has over 35 years of video experience. Before coming to Tektronix, Steve spent 20 years with GTE/Verizon installing, teaching, engineering and managing video and CATV systems where he taught video transmission and video engineering to non-video engineers. Steve was involved in one of the first Video on Demand, Near Video on Demand, FTTH (fiber to the home), FTTN (fiber to the node) and HFC (hybrid fiber coax) trails before the development of digital video compression systems. For the past 19 years, Steve has worked as a Sr. Video Applications Engineer for Tektronix consulting and teaching test methodologies for Broadcast, Studio, Cable and Manufacturing for customers based in the United States and Western Canada.

Light refreshments will be provided.