QoE-driven VR video self-adaptive acquisition and transmission method

A transmission method and self-adaptive technology, applied in the transmission system, digital video signal modification, electrical components, etc., can solve the problems of not improving the quality of user experience, not considering the importance of QoE, etc.

Active Publication Date: 2019-09-20
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this method considers the uplink transmission and downlink transmission process of VR video live broadcast, it does not take into account the importance of QoE in the VR video system, and cannot improve the quality of user experience during the transmission process

Method used

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  • QoE-driven VR video self-adaptive acquisition and transmission method
  • QoE-driven VR video self-adaptive acquisition and transmission method
  • QoE-driven VR video self-adaptive acquisition and transmission method

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Embodiment Construction

[0070] In this embodiment, a QoE-driven VR video adaptive acquisition and transmission method, such as figure 1 As shown, it is applied to a multi-user network scenario, where there are C cameras, VR video servers, and N clients. The camera and the VR video server are transmitted through the uplink, and the VR video server and the user end are transmitted through the downlink; the downlink includes a feedback channel from the user end to the VR video server; the feedback channel can send the user The real-time viewing angle information and downlink bandwidth information are fed back to the server to help the server collect and transmit. Such as figure 2 As shown, the method specifically includes the following steps:

[0071] Step 1. In the application network scenario, C original videos captured by C cameras are denoted as {V 1 ,V 2 ,...,V c ,...,V C}, V c Indicates the original video captured by the c-th camera, 1≤c≤C;

[0072] Then the original video V captured by the...

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Abstract

The invention discloses a QoE (Quality of Experience)-driven VR (Virtual Reality) video self-adaptive acquisition and transmission method, which comprises the following steps: 1, each camera in a VR video acquisition system shoots an original video with the same code rate level, and each original video is compressed into different code rate levels; 2, the server selects a code rate level for each original video for transmission and synthesizes all the transmitted original videos into a complete VR video; 3, the server carries out blocking processing on the synthesized VR video, and meanwhile, each video is compressed into different quality grades; and 4, the server selects a quality grade and an MCS scheme for each video block according to the real-time visual angle information of the user and the bandwidth information of the downlink channel in the feedback channel, and then transmits each video block to the client. The resource utilization rate can be better improved, and the experience QoE of multiple users is improved under the condition that the bandwidth is limited.

Description

technical field [0001] The invention relates to the field of multimedia video transmission, in particular to a streaming media adaptive collection and transmission method for VR video. Background technique [0002] Luo Jiangtao and others from Chongqing University of Posts and Telecommunications invented a DASH-based VR video adaptive transmission method (public number: CN108235131A). The method includes: establishing a mapping relationship model between 3D VR video and 2D plane VR video. The VR video area is prioritized according to motion characteristics, the server side slices the VR video, the client bandwidth estimation module uses the Kalman filter algorithm to predict the available bandwidth, and the client video caching module smooths the available bandwidth based on the status of the buffer area Processing, the client user window perception module predicts the user window based on the motion inertia, and the client decision module comprehensively considers the user ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06H04N13/111H04N13/161H04N13/194H04N13/275
CPCH04L65/80H04L65/1013H04N13/161H04N13/194H04N13/111H04N13/275H04N2013/0092H04N2013/0096H04L65/75H04L65/70H04L65/612H04L65/613H04L65/765H04N19/166H04N19/176
Inventor 黎洁冯燃生刘志李奇越孙伟张聪
Owner HEFEI UNIV OF TECH
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