Waterloo-based start-up SSIMWAVE is revolutionizing video delivery and viewer experiences with its one-of-a-kind software that accurately measures human perception of video quality.
As consumers watch more video content than ever before, networks, studios and video distributors strive to provide the best viewing experience possible on multiple devices. But multiscreen, on-demand TV delivery increases their distribution costs, creating high demand for products that can help them produce high-quality images at lower data transfer rates.
With SSIMWAVE’s SSIMPLUS line of software products, video distributors, networks and studios can accurately measure, control, and optimize live and file-based video for their viewers, delivering the best viewing experience while significantly reducing bandwidth needs and distribution costs. The technology takes into account video content properties, device and viewing conditions, and the way humans see to determine an overall score for the quality of a viewing experience as perceived by audiences.
SSIMPLUS features the newest iteration of Dr. Zhou Wang’s groundbreaking structural similarity (SSIM) algorithm, now the industry standard for perceptual video quality metrics, and which earned him an Engineering Emmy Award. In 2013, Wang co-founded SSIMWAVE with fellow University of Waterloo researchers Kai Zeng and Abdul Rehman to commercialize a suite of software solutions for video quality measurement based on the structural similarity algorithm.
OCE supported the start-up in 2015 through the Market Readiness program, helping the team add sales positions. A subsequent Market Readiness project focused on scaling the company, helping them add executive and business development staff and sign several big-name customers. Now with over 20 customers in Canada, the U.S. and Europe, including Telestream, Telefónica, eBay, and AMD, the SSIMWAVE team has been growing rapidly and anticipates adding 10 more staff before the end of 2017.