Half reference assessment-based quality of experience (QoE) objective assessment method for video streaming service

An objective evaluation and video streaming technology, applied in TV, electrical components, selective content distribution, etc., can solve the problems of low accuracy, high computational complexity and time complexity, and cannot meet QoE management, etc., to achieve improvement Speed, increased effectiveness and accuracy, the effect of increased speed

Inactive Publication Date: 2013-09-04
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

Full-reference directly compares the damaged video with the reference video signal to obtain subjective perception quality. The QoE evaluation based on the full-reference evaluation method is very accurate, but in the current network environment dominated by real-time video transmission,

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  • Half reference assessment-based quality of experience (QoE) objective assessment method for video streaming service
  • Half reference assessment-based quality of experience (QoE) objective assessment method for video streaming service
  • Half reference assessment-based quality of experience (QoE) objective assessment method for video streaming service

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Embodiment Construction

[0052] An objective QoE evaluation method for video streaming services based on semi-reference evaluation provided by the present invention mainly includes two parts: QoE evaluation method training and QoE evaluation for video streaming services; the two parts will be described in detail below in conjunction with the accompanying drawings.

[0053] The process of QoE evaluation method training is as follows: figure 1 As shown in , it mainly includes the following steps:

[0054] S11. Start to execute the training process of video QoE evaluation based on content clustering:

[0055] Firstly, the original video sample library and the damaged video sample library are established.

[0056] S12. Initialize the original video sample library and the damaged video sample library:

[0057] In this step, the H.264 / AVC coded video with typical content is selected, the original video sample library is added for initialization, and the damaged video sample library is initialized as empty...

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Abstract

The invention relates to the technical field of multimedia quality assessment, in particular to a half reference assessment-based quality of experience (QoE) objective assessment method for video streaming service. The method comprises QoE assessment method training and the QoE of video streaming service assessment, wherein the QoE assessment method training comprises the steps of: establishing an original video sample library and a damaged video sample library; writing video into the original video sample library and emptying the damaged video sample library; performing content clustering on the video in the original video sample library to obtain a cluster center set; performing damage processing on the video in the original video sample library and writing the video into the damaged video sample library; performing subjective scoring on the video in the damaged video sample library; performing neural network training by combining parameters used during damage processing and subjective scoring to obtain a neural network set corresponding to a content clustering result; and the QoE of video streaming service assessment comprises the following steps of: classifying the contents of the video according to the cluster center set and performing the assessment on the QoE of the video steaming service through the neural network set.

Description

technical field [0001] The invention relates to the technical field of multimedia quality assessment, in particular to an objective assessment method for video stream service QoE based on semi-reference assessment. Background technique [0002] With the continuous improvement of network quality, users' requirements for real-time multimedia quality are gradually increasing. Quality of Experience (QoE) is an evaluation index based on users' subjective perception, which can directly reflect the user's recognition of services. Therefore, QoE has become the main basis for improving network quality and user satisfaction. How to improve the accuracy of QoE evaluation has become an urgent problem to be solved. [0003] At present, there are mainly two methods for evaluating QoE: subjective evaluation and objective evaluation. Subjective evaluation is that users directly evaluate the video quality. The result is very accurate, but the real-time performance is poor, the cost is larg...

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Application Information

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IPC IPC(8): H04N17/00H04N21/647
Inventor 李文璟孟洛明刘继春王智立陈兴渝芮兰兰亓峰
Owner BEIJING UNIV OF POSTS & TELECOMM
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