Witbe, a specialist in Quality of Experience Monitoring, has unveiled its latest video algorithm: Witbe Video Quality Incident Detection, or VQ-ID.
Witbe says its new video algorithm is capable of detecting every major video and audio incident. It is the result of ten years of experience in video quality algorithms that started with Witbe VQ-MOS (Video Quality Mean Opinion Score), the first of Witbe video algorithms, aiming at measuring the quality of a video stream, as it is perceived by a human. Now, customers will also have the possibility to receive real-time alarming of video and audio incidents. After announcing Witbe Datalab at IBC last month, a unique web application displaying stunning visual reports from Witbe Robots data, Witbe is thrilled to release this algorithm just in time for its last two major trade shows of the year: NAB in New York this week and SCTE Cable-Tec in Atlanta at the end of the month.
Natively integrated into Witbe Robots, VQ-ID focuses on detecting severe deterioration events, such as macro blocking, video upscaling, frozen images or uniform screens, error or no broadcast frames, and even saturated audio or absence of sound. The alarms raised 24/7 by Witbe VQ-ID on every device connected to a Witbe Robot are then displayed in real-time in Witbe Remote Eye Controller to enable NOC teams to take action as soon as an issue is detected.
Marie-Véronique Lacaze, Co-Founder, President & Chief Executive Officer of Witbe comments: “We are happy to announce this new algorithm for our last two shows of the year. We are eager to unveil it, as it is a feature our clients had been waiting for: real-time alarming for video and audio incidents. Our R&D team has been working hard on this algorithm for the past couple of years. Our customers will now be even better equipped to deliver the best Quality of Experience to their end-users.”