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Video streaming business code rate self-adaption method based on online study

A self-adaptive, video streaming technology, applied in image communication, selective content distribution, electrical components, etc., can solve problems such as the inability to directly reflect the real user experience and the poor user experience, improve user QoE and alleviate link congestion Effect

Active Publication Date: 2016-09-07
ZHEJIANG UNIV
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AI Technical Summary

Problems solved by technology

The goal of traditional wireless video stream transmission control mainly focuses on the optimization of QoS indicators (such as delay, throughput, and packet loss rate), but QoS only reflects the performance of the network, and cannot directly reflect the real feelings of users. QoS indicators perform well, but the actual user experience may still be poor

Method used

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  • Video streaming business code rate self-adaption method based on online study
  • Video streaming business code rate self-adaption method based on online study
  • Video streaming business code rate self-adaption method based on online study

Examples

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Embodiment Construction

[0031] The present invention will be described in further detail below with reference to the accompanying drawings and examples.

[0032] Such as figure 1 As shown, this example is based on the wireless video streaming service of HTTP. The video sequence is transmitted through the scalable video coding and wireless network, and finally reaches the buffer area of ​​the user terminal for playback. In each cycle, the source end will use the packet loss rate fed back by the terminal and the MOS value to adjust the video bit rate sent.

[0033] This example is implemented through the following steps:

[0034] Step 1. Establish a wireless video streaming service system framework; specifically:

[0035] There are multiple users in the wireless network, and the users are marked as n∈{1,2,…}, each user includes a sending node and a receiving node to establish an end-to-end streaming media connection; using scalable video coding as the source End coding method, each video generates 18 ...

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Abstract

The invention discloses a video streaming business code rate self-adaption method based on online study. The method comprises the steps of firstly establishing a wireless video streaming business system frame, and generating different code rate levels to be selected in a way of using scalable video coding as a source end coding mode; then establishing a utility function, and using a discounted overall MOS value to represent QoE, so as to serve as an optimization goal of a code rate self-adaption mechanism; and establishing an action value function space, using an online study algorithm to perform iterative operation, updating the action value function space and a confidence coefficient distribution function according to the information of immediate MOS value and packet loss probability fed back by a terminal in each period, and accordingly selecting the proper video code rate for transmission. According to the method, the QoE is used as the optimization goal of self-adaption of the video streaming code rate, the optimal solution of code rate adjustment is iteratively approached by the online study algorithm, the link congestion can be effectively relieved, the user QoE is improved, and the computation complexity is relatively low.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to an adaptive method for code rate of a video stream service based on an online learning algorithm. Background technique [0002] With the rapid development of mobile video services, network resources are facing great challenges. When the video streaming service is transmitted, it may be affected by various unstable factors in the wireless network, which may cause the congestion of the bottleneck link, resulting in a decrease in the quality of experience (Quality of Experience, QoE) of the user watching the video. Therefore, how to effectively control and optimize the wireless video streaming transmission process is particularly critical to improving QoE. [0003] At present, in the field of wireless video stream transmission control, some research results have been accumulated, including congestion control, bit rate adaptive algorithm, etc. The goal of...

Claims

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Application Information

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IPC IPC(8): H04L29/06H04N21/238H04N21/24H04N21/25
CPCH04L65/80H04N21/23805H04N21/2402H04N21/251H04L65/762
Inventor 陈惠芳谢磊谢贯楠钱力言
Owner ZHEJIANG UNIV
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