SSIMWAVE unveiled SSIMPLUS VOD Monitor Production, a cloud-based tool that harnesses the power of the human visual system to optimize quality for high volumes of video assets across complex delivery chains.

The technology is aimed at allowing video businesses – streaming services, MVPDs and content studios – to:

• Improve content quality delivered to viewers;
• Optimize data rates to fit CDN budgets;
• Evaluate tech stack or vendor operations at any part of the workflow;
• Ensure Service Level Agreement compliance;
• Compare quality across different distribution chains; and
• Realize efficiencies in the utilization of network resources.

The SSIMPLUS Emmy Award-winning algorithm gives a Quality of Experience 0-100 Subscriber Score based on software that mimics the human visual system. VOD supply chain managers can use the score to set quality thresholds at multiple points in the delivery system. Based on these thresholds, the tool divides assets into Pass/Fail buckets; assets that Pass proceed down the delivery chain to the viewer while Fails can be fixed using the SSIMPLUS VOD Inspector tool. When used in tandem, SSIMPLUS VOD Production and Inspector enable management of video delivery quality, from network configurations up to the end device.

“The explosion of new content sources, the availability of new devices and the need to connect the two have multiplied the complexity of the streaming ecosystem,” said Dr. Abdul Rehman, co-founder and CEO of SSIMWAVE. “Our mission is to give the industry the objective metrics and tools needed to navigate that landscape and deliver video quality that satisfies viewers and increases ROI.”

With on-demand viewing growing by 20% over the past five years, SSIMPLUS VOD Production’s cloud-based architecture is designed to give content providers and distributors the agility to adjust computing power needs to consumer demand, optimizing resource use. The new tool evaluates and scores content at unprecedented speeds; HD video is delivered in real time while delivery of SD is 4X faster.