At IBC2016 in Amsterdam, Tektronix is announcing a series of upgrades to its Aurora automated file-based quality control (QC) solution to support monitoring of large volumes of OTT content.
Aurora now features Perceptual Video Quality (PVQ) measurement to provide a summarized quality measurement for file-based content. Other upgrades include support for Aurora on the Amazon Web Services (AWS) cloud and support for the AS-10 PAD Delivery Specification now required in France.
With this release of Aurora, Tektronix is incorporating PVQ technology from its Sentry family of video network monitors to give a correlation between file-based and live stream monitoring technologies. Like Sentry, Aurora is now designed to analyze video content using a proprietary algorithm designed to detect video compression artifacts affecting QoE. It also graphically plots video quality using a format similar to a Mean Opinion Score (MOS) to provide a numerical indication of the perceived quality from the viewer's perspective.
Aurora on the Amazon cloud offers scalable automated analysis of file-based video content ingested from different sources, encoded at different bit rates and formats, and using different compression standards for SD/HD, VOD or IPTV delivery. Like on-premises options, Aurora on the Amazon cloud performs checks for quality compliance, playability of audio and video at ingest, after encoding, after transcoding and before playout. Aurora processes files on AWS S3 storage and optimizes EC2 compute instance resources usage on the AWS Cloud.
