GEDI Exchange

Member profile: SSIMWAVE

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SSIMWAVE is the creator of the Video Experience Automation category enabling assessment of video quality at scale. They know that managing lean production workflows to deliver better viewer experiences without reprocessing and high variable costs, is not simple. Ensuring high video quality is difficult when QA and optimization tools are expensive to operate and often do not correlate well to human vision. 

In a short pitch, how would you describe SSIMWAVE’s offerings (products and services)? What makes it innovative? What industry sectors and/or customers are you focused on?

SSIMWAVE is the creator of the Video Experience Automation category, which enables assessment of video quality at scale to improve viewer experience and business results.

We work with large Media and Entertainment customers around the world.

Providing more detail, what is the value proposition of SSIMWAVE’s offerings? Examples could include the underlying technology, new capabilities, cost reduction, risk reduction, improved performance, new business model, etc.

Our Video Experience Automation Platform allows you to reduce distribution costs and stop worrying about quality drop-offs, and high operational costs. Enjoy the peace of mind that comes from the only end-to-end solution that works across broadcast, OTT streaming, and cable workflows to automate your QA and optimization steps with the only quality metric that is correlated to human vision. The Emmy® -awarded SSIMPLUS® algorithm is the most accurate viewer experience metric ever engineered and it is the foundation of our Video Experience Automation Platform. The core products include our VQ Dial and Video Intelligence Suite that enable media companies to be 100% confident that their D2C services and distribution partners are delivering content at the quality level that they specify. The SSIMWAVE Video Experience Automation Platform is used by organizations to address video quality issues across the entire library and all streams, including:

● The removal of wasted delivery spends so that users receive a consistent video experience regardless of the playback device or network.

● To validate third-party content quality per the SLA.

● To identify and correct subpar source assets or streams.

● To alert and remedy issues impacting viewer experience.           

What is SSIMWAVE’s biggest achievement/success story to date?

SSIMWAVE has received two Technology & Engineering Emmy® Awards, in 2021 for work in Development of Perceptual Metrics for Video Encoding Optimization, and the first in 2015 for Dr. Zhou Wang’s, Chief Science Officer and co-founder of SSIMWAVE, role in inventing the Structural Similarity (SSIM) Video Quality Measurement Model.

We proudly serve some of the top tier 1 media and entertainment companies with the most accurate and complete viewer score for video experience. Our technology reduces mean time to resolution by 85% and reduces operations costs by 60%. To date, we have more than 18 million hours of live video monitored every month, more than 2.8 billion video viewing hours optimized every month, and over 150 million subscribers’ experiences improved by our solutions.

What does the future hold for SSIMWAVE?

Our vision, to have the greatest possible impact on the video industry, guides our goal to ensure our technology is broadly deployed on a global scale. We have validated our technology and solve some of the most challenging problems in the industry, with globally recognized companies, and leverage this foundation to scale SSIMWAVE with our leading-edge technology.

What is SSIMWAVE’s connection to the University of Waterloo?

SSIMWAVE’s roots stem from the University of Waterloo, where the founders originally worked with WatCO to tap into their commercialization services. Our three founders met at UWaterloo. Dr. Zhou Wang is a Professor in the Department of Electrical and Computer Engineering, where he is also a Tier 1 Canada Research Chair and leads the Image & Vision Computing (IVC) Laboratory at the University. Dr. Abdul Rehman and Dr. Kai Zeng both received their Ph.D.’s working with Dr. Zhou Wang. The company was established in 2013 to commercialize the technology that resulted from their collaboration.

Why did you decide to join the GEDI Exchange? What are you looking for? What do you want to get out of it?

We understand the power of collaboration with the University of Waterloo and want to ensure we remain connected to the many resources that the University and its partners have to offer.

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