Flare Algorithm to Optimize VR Video Transmission

The algorithm is developed by scientists from Indiana University in Bloomington (USA) and AT&T Labs researchers
31 October 2018   528

At the 2018 MobiCom conference, scientists from Indiana University in Bloomington (USA) and AT&T Labs researchers presented the Flare system. It's able to predict the direction of a person’s gaze while watching a streaming VR video and, based on this, show him or her only the necessary frames.

The researchers implemented the Flare prototype in the form of an Android application for smartphones that can be used as a VR helmet screen.

The resolution, and therefore the size of a 360-degree video, is four times larger than that of ordinary videos for viewing on a monitor. In addition, for a more complete immersion requires online transmission with a minimum speed of 60 frames per second. Modern wireless networks can not afford this.

The system with the help of sensors on the smartphone monitors the movement of the user's head in three dimensions. Using the linear regression method, she predicts a future trajectory a second forward, and Tikhonov’s regularization method allows Flare to “look in” even further. After that, the system calculates how much of the video should come into the person’s field of view and downloads only these frames, but with a small margin in case of an error.

Specific frames are calculated on a 4 by 6 grid. In addition to coordinates, a request to the server also contains an indication of the recording quality, determined by the number of frames and the data transfer rate.

The researchers used data from 130 volunteers who watched a dozen VR-videos for several minutes each for the training of the algorithm. Testing showed that when watching a video using an LTE connection, Flare's system helped increase the picture quality by 22%, while reducing the required network bandwidth by 35%.

Ping An Insurance to Use SingularityNET's AI Solutions

Ping An is the largest insurance corporation in the world with capitalization $217B (as for January 2018)
14 March 2019   172

SingularityNET blockchain platform and the Chinese insurance corporation Ping An will cooperate in the field of artificial intelligence and launch a number of joint initiatives. This is reported in the project's blog.

As the head of Ping An's AI direction, Bai Meng, said, the company is interested in the commercial application of optical character recognition technology, cross validation and machine learning offered by the SingularityNET ecosystem.

In the future, platform solutions can be used in Ping An's AI initiatives, such as Smart City and One Minute Clinic.

Ping An is the largest insurance corporation in the world. As of January 2018, the company's capitalization was estimated at $ 217 billion. Ping An shares are included in the Hang Seng Index - a composite index of the 50 largest companies listed on the Hong Kong Stock Exchange.

At the end of 2017, SingularityNET raised $ 32.8 million on ICO. The project token has been listed on Binance cryptoexc.

Against the background of news on cooperation with Ping An, the price of the SingularityNET (AGI) token began to rise rapidly in the morning of Thursday, March 14, rising to a peak by more than 13% in a short period of time, after which it corrected somewhat.