At IBC2018 in Amsterdam in September, Qligent plans to introduce Vision-VOD, an automated, file-based solution for front-end QC and back-end quality of experience (QoE) monitoring and analysis of video on demand (VOD) content. The virtualized SaaS application is designed to take the responsibility for last-mile content verification out of the video service provider's hands, without limitation as to where and how widely it can be deployed.
The scalable software solution is designed to enable immediate verification of media files, wrappers, QoE and content metadata, including automated audio level normalization, at the origination point. It's also designed to provide identification of audio, video and metadata defects from origination through delivery for networks of any scale, and without any end user operation. Thresholds for any level can be established and adjusted with management by exception.
Vision-VOD is available as a SaaS-based add-on within Qligent's Vision monitoring and analysis platform.
"Few companies offer both upfront file-based QC and back-end/last-mile VOD content verification, and only Qligent offers a service capable of supporting large enterprise-level deployments in a SaaS-based model," said Ted Korte COO, Qligent. "Vision-VOD is virtualized for deployment in large-scale networks to quickly ramp up end-to-end verification of linear and/or non-linear OTT and other VOD-based networks, and without the need to install, train and staff the operation. Its most important value is removing dependency on human resources and infrastructure, while verifying the content quality and automating business-critical procedures."
Vision-VOD offers a configurable analysis component supporting a range of media formats. Notifications can be established to alert users if the content doesn't pass the test.
"The trend analysis is of particular importance for VOD services that rely on customer loyalty for growth," said Korte. "Vision-VOD strengthens insight into performance and consistency over specific time periods and arms the customer with the intelligence required to address content quality problems and improve quality of experience, protecting their revenue streams."