Viettel Military Industry and Telecoms Group patented a system for live video streaming over tactical wireless networks. The system uses a multilayer perceptron neural network to estimate video distortion and adapt parameters based on network conditions. It includes a video motion estimator, bitrate optimizer, and MLP-based distortion estimator. GlobalData’s report on Viettel Military Industry and Telecoms Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Viettel Military Industry and Telecoms Group, Drone gimbals was a key innovation area identified from patents. Viettel Military Industry and Telecoms Group's grant share as of February 2024 was 42%. Grant share is based on the ratio of number of grants to total number of patents.

Adaptive live video streaming system based on distortion estimation

Source: United States Patent and Trademark Office (USPTO). Credit: Viettel Military Industry and Telecoms Group

A recently granted patent (Publication Number: US11871047B2) introduces a system for adaptive live video streaming based on distortion estimation using a multilayer perceptron neural network (MLP neural network). The system includes a video motion and detail estimator that analyzes video frames from a camera device to calculate the motion and detail level using specific formulae. Additionally, the patent outlines methods for adaptive live streaming with channel condition assessment. This involves measuring packet error rate and channel bandwidth at the receiver side through a two-step process of eliminating data outliers based on historical measure points and estimating packet error rate and bandwidth using weighted average formulae. The methods also include adjusting video bitrate and redundancy levels based on packet error rate, channel bandwidth, and video motion and detail level, ultimately optimizing video quality.

Furthermore, the patent details a method for creating a multilayer perceptron neural network-based distortion estimator. This process involves implementing the video streaming system over a simulated wireless channel, conducting simulations with various parameters such as redundancy configuration, video bitrate, channel condition, and encoder settings, and calculating distortion values based on specific formulae. By utilizing these innovative techniques, the patent aims to enhance the efficiency and quality of live video streaming by dynamically adjusting video bitrate and redundancy levels according to real-time channel conditions and video characteristics. The incorporation of a multilayer perceptron neural network for distortion estimation showcases a sophisticated approach to optimizing video streaming performance, potentially revolutionizing the way live video content is delivered and consumed in the digital landscape.

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