Best-effort networks for Internet and mobile communications affect service quality because communications throughput varies significantly depending on factors such as radio wave conditions and usage by other users. For this reason, users of the cloud services and internet-based video distribution services widely available today are facing issues of unstable service quality such as communications delays and low image quality.
NEC Central Research Laboratories is conducting research into communications optimization technologies to enable efficient, optimal communications even for Internet and wireless networks, which are subject to dramatic fluctuations in quality. We have now realized high-accuracy future prediction for Internet communications—something that has hitherto been very difficult to achieve. High quality, diverse cloud services can be realized by controlling services according to predictions of communications conditions.
Video distribution technology to support surveillance, emergency services and disaster prevention and response (adaptive video feed control)
With conventional surveillance that depends on fixed surveillance cameras and the eyes of security guards, information sharing between surveillance headquarters and the location being monitored has tended to be insufficient, and the risk of human oversight or blind spots is high. Meanwhile, use of video distribution, while finding some traction in high-end surveillance systems, is underutilized in busy communications environments such as event locations because it is not possible to distribute video of the quality required for surveillance in real time. NEC has developed "adaptive video feed control technology" capable of distributing video of sufficient quality to assess the situation at the location being monitored in real time, by predicting communications throughput variations up to 10 seconds in advance and adaptively controlling the number of frames and the video compression rate. This technology can significantly contribute to improving the safety and security of society, not only for surveillance, but also by enabling accurate relaying of patient conditions in medical emergencies and information about conditions in disaster-stricken areas.
(1) Communications throughput (band) prediction
AI analysis of communications throughput variation over the past one minute. Constructs a prediction model in real time and makes a prediction of future communications throughput variation from proportional spread.
(2) Adaptive rate control
Controls compression rate and number of frames based on the communications throughput prediction. Avoids video quality degradation due to excessive compression to realize usable quality video distribution for surveillance, emergency medical and disaster relief services.