Steve McCartney to Join SSIMWAVE as President
- May 30, 2017 12:05
- Saj Jamal
FOR IMMEDIATE RELEASE: May 30, 2017
STEVE MCCARTNEY TO JOIN SSIMWAVE AS PRESIDENT
Waterloo, ON, Canada, May 30, 2017– SSIMWAVE™ today announces that Steve McCartney will be joining SSIMWAVE as President reporting to CEO Dr. Abdul Rehman. McCartney will have oversight of sales, operations and strategic growth of the company. SSIMWAVE is advancing the video industry by shifting the way video delivery is measured and optimized.
“I am thrilled that Steve will be joining our team,” said Rehman. “He shares our values and our focus on innovation. Steve places the same strong emphasis as we do on the customer experience. Steve has shown himself to be an extraordinary leader throughout his career and has a proven track record.”
McCartney will join SSIMWAVE this summer and will assume full time duties as President in the fall. McCartney was most recently Vice President of the Strategic Growth Team at Communitech, a Waterloo Region hub for the commercialization of innovative technologies. Previously, he was CEO of Bering Media, CEO of Atria Networks and the CEO of FCI Broadband. McCartney is currently the Chair of the Board at Energy Plus in Cambridge. He is a Chartered Director, is Human Resources and Compensation Committee Certified, and is a member of the Institute of Corporate Directors.
“I’m excited to see Steve join a high-growth company like SSIMWAVE. A University of Waterloo spinoff rooted in research and a graduate of Communitech Rev, SSIMWAVE is a great example of commercializing industry-changing technology,” said Iain Klugman, President & CEO of Communitech. “Steve’s deep industry knowledge and executive leadership skills will help accelerate their growth and build another global technology company here in Waterloo Region.”
SSIMWAVE provides the most accurate measure of how humans perceive video. By modeling viewer experience at every stage of the digital video distribution system, broadcasters, streamers, and content creators can deliver the ultimate video experience™ to consumers on any screen with half the resources. A company built on an Engineering Emmy® Award-winning algorithm and the most cited work in academia (36,488 citations), SSIMWAVE is defining the future of video delivery by beginning with the end-viewer in mind.
Saj Jamal, VP Marketing
SSIMWAVE INC. 140 Columbia St West, Waterloo, ON N2L 3K8
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Why is SSIM Not Good Enough?
- May 12, 2017 10:05
- Dr. Zhou Wang
In an earlier blog, we provided an explanation on why the structural similarity (SSIM) index becomes by far the most popular objective model to predict perceived image/video quality, both in academia and industry. The contribution of SSIM is certainly outstanding, but is SSIM enough in real-world applications as the ultimate image/video quality measure or the ultimate image/video fidelity measure (considering its computation needs a reference image/video)? Read More
SSIM: The Magic Behind Its Rise to Popularity
- May 5, 2017 10:05
- Dr. Zhou Wang
The structural similarity (SSIM) index is a method to automatically predict perceived quality of images and videos. It has been getting extremely popular in the past few years. In academia, the original SSIM paper published in 2004 has received over 35,000 Google Scholar citations so far, perhaps more than any paper in the literature of video engineering. It also received an IEEE Signal Processing Society Best Paper Award, one of the most prestigious paper awards in signal processing. In industry, the SSIM algorithm received the Primetime Engineering Emmy Award, one of the most prestigious technology awards in the TV industry. In the citation by Television Academy, it says Read More
Video Quality-of-Experience: Presentation Quality vs. Playback Smoothness, and Their Interactions
- March 29, 2017 06:03
- Dr. Zhou Wang
Delivering video content with the best visual quality-of-experience (QoE) to end users is the central goal of modern video distribution services. User’s QoE is determined by two factors – the quality of the video streamed to the user device, and the quality of the playback when displaying the video on user’s device. The former is typically measured as the presentation quality of the video, meaning the perceptual quality of the video streams when it is played on the user device at its intended speed without interruption. Typical processes and factors that could affect the presentation quality include encoding/transcoding at the hosting servers or networks, and variations of the user device parameters (size, brightness, resolution, etc.). The latter may be interpreted as the playback smoothness, for which the mostly encountered quality issue is video freezing. Freezing may occur either at the beginning before the video starts or in the middle of the playback. It may be caused by insufficient network bandwidth, network delay and instability, unhealthy device buffer and power conditions, and unmatched decoding/display speed, etc.
The Challenge of Video Quality-of-Experience Management Across Resolutions and Viewing Devices
- February 26, 2017 06:02
- Dr. Zhou Wang
In real-world video delivery systems, video engineers are often faced with major challenges while trying to monitor and control the quality of the videos being delivered. Over the years, people have converged to the view that the quality-of-delivery (e.g., bandwidth allocation and smoothness of delivery, sometimes interpreted as quality-of-service) are the only parts of the overall picture. What really matters ultimately is the perceptual quality-of-experience (QoE) of the users at the very end of the video delivery chain. QoE is highly personal and may be influenced by many factors, but there are certain apects that will for sure strongly affect QoE, and are predictable and manageable even before the video reaches the end users. One such aspect is the impact of the viewing device, as well as the resolution (numbers of pixels in each row and column) that is used to display the video on that device. For example, a strongly compressed video may appear to have fine quality when viewed on a smartphone, but may exhibit annoying artifacts on a large size TV.