No-reference video quality evaluating method

An evaluation method and video quality technology, applied in television, electrical components, image communication, etc., can solve the problems of low correlation of subjective MOS values, weak prediction accuracy and generalization ability, etc.

Active Publication Date: 2010-06-16
THE RES INST OF TELECOMM TRANSMISSION MIIT +2
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AI Technical Summary

Problems solved by technology

[0027] In view of the defects and deficiencies in the prior art, the purpose of the present invention is to propose a method for evaluating video quality without reference, which can solve the problem that the correlation between the objective MOS value and the subjective MOS value output in the prior art is not very high and its prediction The problem of very weak accuracy and generalization ability, improve the correlation between no-reference video quality evaluation and subjective MOS value

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Embodiment Construction

[0068] The specific embodiment of the present invention will be further described in detail below in conjunction with the accompanying drawings. The above and other objects, features and advantages of the present invention will be apparent to those skilled in the art from the detailed description of the present invention.

[0069] No reference video quality evaluation method proposed by the present invention, the first preferred embodiment includes:

[0070] Step 1, extracting block effect parameters, fuzzy parameters, and code rate parameters of the video received by the receiving end; and setting motion complexity parameters for the video according to the time domain of the decoded video;

[0071] Step 2. According to the block effect parameter, fuzzy parameter, code rate parameter, and motion complexity parameter, use the evaluation model obtained in advance by the regression machine SVR based on the support vector SV, and output the objective MOS value,

[0072] In the fi...

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Abstract

The invention provides a no-reference video quality evaluating method, and aims to solve the problems of low relevance between an objective MOS value and a subjective MOS value output by the conventional method, weak prediction accuracy and weak generalization ability thereof. The method comprises the following steps: extracting blocking effect parameters, blur parameters and code rate parameters of video received by a receiving end; setting motion complexity parameters for the video according to the decoded time domain of the video; outputting the objective MOS value by using an evaluation model which is acquired in advance based on support vector (SV) regression (SVR) according to the blocking effect parameters, the blur parameters, the code rate parameters and the motion complexity parameters; and acquiring higher relevance with the subjective MOS value. On characteristic parameter selection, TS stream parameters are integrated with main sense injury parameters; and the evaluation model determining method adopts a method of the support vector regression. The method is applicable to videos in different resolution ratios, in particular to videos with encoder injury.

Description

technical field [0001] The invention relates to a no-reference video quality evaluation method. Background technique [0002] Existing video quality evaluation methods can be divided into two categories according to different evaluation objects: one is the evaluation of user experience quality (Quality of Experience, hereinafter referred to as QoE); the other is the evaluation of service quality (Quality of Service). , hereinafter referred to as QoS). In digital communication, after the original video (also called undamaged video) passes through the encoder and the transmission channel, what is presented to the user must be damaged, and the sensory quality is definitely not perfect. And according to the different degree of damage, the sensory quality also changes. [0003] In the process of video encoding, transmission, and playback, QoE needs to be evaluated to determine how much damage affects human senses. Among the evaluation methods for QOE, the most reliable method ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N17/00
Inventor 栗蔚叶卫平何宝宏徐贵宝魏凯杨崑
Owner THE RES INST OF TELECOMM TRANSMISSION MIIT
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