Real-time video code rate self-adaptive regulation and control method and system based on reinforcement learning

A technology of self-adaptive regulation and reinforcement learning, applied in neural learning methods, biological neural network models, selective content distribution, etc., can solve problems such as poor user QoE and low network utilization, to improve performance, improve user QoE, logically simple effect

Active Publication Date: 2020-11-06
成都云格致力科技有限公司
View PDF9 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because existing algorithms (such as GCC) do not understand the underlying network, they tend to fall into this vicious circle, resulting in low network utilization and very poor user QoE

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Real-time video code rate self-adaptive regulation and control method and system based on reinforcement learning
  • Real-time video code rate self-adaptive regulation and control method and system based on reinforcement learning
  • Real-time video code rate self-adaptive regulation and control method and system based on reinforcement learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0058] Such as Figure 1 to Figure 7 As shown, the present embodiment provides a method and system for adaptive regulation and control of real-time video code rate based on reinforcement learning, wherein, the system of the present embodiment adopts TCP or UDP protocol to implement end-to-end real-time video transmission process, and the system includes a video server, Streaming media server and playback terminal. Wherein, the video server generates a binary video stream in real time through image acquisition and encoding. The streaming server is used to package and stream the binary video stream into data packets conforming to the transmission protocol, and send them to the playback terminal through the network through the transponder. After the playback terminal receives the data packet, it analyzes and decodes and plays the video, and presents it to the user. In addition, this ARS system also integrates the ARS controller into the streaming media server, the controller re...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a real-time video code rate self-adaptive regulation and control method based on reinforcement learning. The method comprises the following steps of: encoding a collected imageto obtain a binary video stream; packaging the binary video stream into a data packet corresponding to a current network transmission protocol; analyzing the data packet and decoding and playing thevideo, and feeding back a network QoS parameter and a playing state of the current network; performing code rate adaptive algorithm model training according to the network QoS parameter and the playing state of the current network to obtain the bit rate of a video block at the next moment; and adjusting the video coding bit rate according to the bit rate of the video block at the next moment. Theinvention further provides a system adopting the real-time video code rate self-adaptive regulation and control method based on reinforcement learning. According to the scheme, the method has the advantages that the logic is simple, and the QoE of the user and the network utilization rate are improved.

Description

technical field [0001] The invention relates to the technical field of real-time video communication, in particular to a method and system for self-adaptive regulation and control of real-time video code rate based on reinforcement learning. Background technique [0002] In recent years, network video, especially real-time network video, has ushered in explosive traffic growth, which has brought huge transmission pressure to IP networks. In real-time network video applications, such as video calls, cloud games, cloud virtual reality, etc., the video is collected, compressed and encoded in real time at the sending end, and streamed to the receiving end through the Internet. However, problems such as network packet loss, delay, and congestion during transmission are still huge obstacles that affect users' enjoyment of high-quality video streaming services. How to design a reasonable bit rate adaptive technology has become an important means to solve this problem. [0003] At ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/2662H04N21/2343H04N21/24G06N3/08
CPCH04N21/2662H04N21/2343H04N21/2402G06N3/088
Inventor 陈浩张欣宇马展朱勇
Owner 成都云格致力科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap