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Objective evaluation method for quality of VoIP non-reference video communication based on neural network

An objective quality evaluation and neural network technology, applied in image communication, television, electrical components, etc., can solve problems such as the inability to evaluate VoIP video quality in real time, reduce storage and computing space, improve real-time performance, and save a lot of manpower and Material effect

Active Publication Date: 2017-08-08
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0005] In order to solve the problem that the existing video objective quality evaluation algorithm cannot make an accurate and real-time evaluation of VoIP video quality, the objective evaluation method of VoIP no-reference video communication quality based on neural network disclosed by the present invention, the technical problem to be solved is to provide a VoIP has no reference video communication quality objective evaluation method, which can realize accurate and real-time evaluation of VoIP video quality

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  • Objective evaluation method for quality of VoIP non-reference video communication based on neural network
  • Objective evaluation method for quality of VoIP non-reference video communication based on neural network
  • Objective evaluation method for quality of VoIP non-reference video communication based on neural network

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Embodiment 1

[0045] In order to verify the feasibility of the method of the present invention, the Neural Network-based VoIP no-reference video communication quality objective evaluation method disclosed in this embodiment is based on such as figure 1 The parameter acquisition conditions shown are achieved.

[0046] Step 1: Prepare mobile phone and test environment

[0047] In this embodiment, VoIP video communication software based on webrtc and having a network parameter extraction function is compiled and installed in two Android mobile phones of the same model.

[0048] Step 2: Build a control unit that can control network parameters in a laptop

[0049] In this embodiment, the notebook computer is installed with network loss simulation software WANem, which can accurately control the packet loss rate, delay and jitter. By adjusting the parameters in WANem, the video quality of mobile phone A can be controlled

[0050] Step 3: Mobile phones A and B connect to the wireless network re...

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Abstract

The invention discloses an objective evaluation method for quality of VoIP non-reference video communication based on a neural network, is mainly applicable to monitoring the quality of the VoIP video communication under a real-time communication scene, and belongs to the field of objective evaluation of video quality. The method provided by the invention is implemented by the following steps of extracting a network parameter during a VoIP video communication process, meanwhile performing an objective test to score the video, performing standardization treatment and dimension reduction treatment on the extracted network parameter, using acquired dimension-reduced data as an input of the neural network, and using an objective test score as a reference output of the neural network to perform neural network training, thus acquiring a weight and a threshold of each neural node, that is so say building of the neural network is completed, wherein the output of the neural network is the objective quality score acquired through mapping according to the input parameter, and the objective quality score is used for objectively evaluating the quality of the VoIP non-reference video communication. According to the method provided by the invention, the quality of the VoIP video can be accurately evaluated in real time.

Description

technical field [0001] The invention relates to a neural network-based VoIP non-reference video communication quality objective evaluation method, which is mainly applicable to VoIP video communication quality monitoring in a real-time communication scene, and belongs to the field of video quality objective evaluation. Background technique [0002] In recent years, with the advancement of Internet technology, the development of multimedia communication technology and the popularization of the fourth-generation mobile communication system, mobile video communication services have become more and more important in life and work. Among them, VoIP-based real-time video technology is based on its convenience. High performance and high cost performance have been widely used. However, the real-time communication performance of the IP network is not stable enough compared with the dedicated communication network. The resulting packet loss, jitter and delay will affect the quality of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N17/00
CPCH04N17/004
Inventor 王晶费泽松赵晓涵李成才
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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