CN107249127A - One kind assesses accurate network video quality assessment system - Google Patents
One kind assesses accurate network video quality assessment system Download PDFInfo
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- CN107249127A CN107249127A CN201710362225.5A CN201710362225A CN107249127A CN 107249127 A CN107249127 A CN 107249127A CN 201710362225 A CN201710362225 A CN 201710362225A CN 107249127 A CN107249127 A CN 107249127A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/004—Diagnosis, testing or measuring for television systems or their details for digital television systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
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Abstract
Accurate network video quality assessment system is assessed the invention provides one kind, including subjective evaluation module, objective evaluation module and performance evaluation module, the subjective evaluation module is used to carry out subjective evaluation to network video quality, obtain the subjective evaluation factor, the objective evaluation module is used to carry out objective evaluation to network video quality, the objective evaluation factor is obtained, the performance evaluation module is used to evaluate the assessment accuracy of the subjective evaluation factor and the objective evaluation factor.Beneficial effects of the present invention are：The accurate evaluation to network video quality is realized by way of subjective and objective combination, important references are provided for optimization video quality.
Description
Technical field
The present invention relates to video quality assessment technical field, and in particular to one kind is assessed accurate network video quality and assessed
System.
Background technology
In recent years, the business of the network carrying is enriched increasingly, especially network video service, and what it was transmitted contains much information, and has
There are the features such as real-time intuitive, it is easier to received by people, be widely used in news briefing, online live, Web TV, electricity
Sub- commercial affairs, video request program, real-time video meeting etc..But Internet video, in transmitting procedure, video quality easily sustains damage,
Cause image blurring, broadcasting pause.Network video quality is assessed in time, the accuracy assessed is improved, for optimization video quality
It is extremely important.
The content of the invention
In view of the above-mentioned problems, the present invention is intended to provide a kind of assess accurate network video quality assessment system.
The purpose of the present invention is realized using following technical scheme：
Accurate network video quality assessment system, including subjective evaluation module, objective evaluation mould are assessed there is provided one kind
Block and performance evaluation module, the subjective evaluation module are used to carry out subjective evaluation to network video quality, obtain subjective evaluation
The factor, the objective evaluation module is used to carry out objective evaluation to network video quality, obtains the objective evaluation factor, the performance
Evaluation module is used to evaluate the assessment accuracy of the subjective evaluation factor and the objective evaluation factor.
Beneficial effects of the present invention are：Realized by way of subjective and objective combination and the accurate of network video quality is commented
Estimate, important references are provided for optimization video quality.
Brief description of the drawings
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not constitute any limit to the present invention
System, for one of ordinary skill in the art, on the premise of not paying creative work, can also be obtained according to the following drawings
Other accompanying drawings.
Fig. 1 is the structural representation of the present invention；
Fig. 2 is the structural representation of objective evaluation module of the present invention.
Reference：
Subjective evaluation module 1, objective evaluation module 2, performance evaluation module 3, first the 21, second visitor of objective evaluation submodule
See and assess submodule 22, objective evaluation factor acquisition submodule 23.
Embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, Fig. 2, one kind of the present embodiment assesses accurate network video quality assessment system, including subjective evaluation
Module 1, objective evaluation module 2 and performance evaluation module 3, the subjective evaluation module 1 are used to lead network video quality
See and assess, obtain the subjective evaluation factor, the objective evaluation module 2 is used to carry out objective evaluation to network video quality, obtained
The objective evaluation factor, the performance evaluation module 3 is used for the assessment to the subjective evaluation factor and the objective evaluation factor
Accuracy is evaluated.
The present embodiment realizes the accurate evaluation to network video quality by way of subjective and objective combination, is regarded for optimization
Frequency quality provides important references.
It is preferred that, it is described that subjective evaluation is carried out to network video quality, carry out in the following ways：
A, observer watch original video first, then watch Internet video, and different observers enter to network video quality
Row marking, marking is carried out using hundred-mark system, and score value is higher, is represented that network video quality is better, is asked for different observers to network
The average value a of video marking0；
B, Internet video is divided into n image segments, different observers give a mark to each image segments quality, obtained not
The average value a that respective segments are given a mark with observer1,a2,…,an；
C, calculating network video quality the subjective evaluation factor：In formula, A
Represent the subjective evaluation factor of network video quality, δ1And δ2Represent weight, δ1+δ2=1；The subjective evaluation factor is bigger, network video
Frequency quality is better.
This preferred embodiment subjective evaluation module takes new way in network video quality scoring process, tool
For body, original video is watched first before viewing network video quality, observer can obtain more intuitive viewing experience, more
Good is evaluated network video quality, and segment processing is carried out to Internet video, obtains the score of each image segments, is easy to fast
Fast tracking network video change, obtains more accurate careful network video quality score.
It is preferred that, the objective evaluation module 2 carries out objective evaluation, including the first objective evaluation to network video quality
Module 21, the second objective evaluation submodule 22 and objective evaluation factor acquisition submodule 23, the first objective evaluation submodule
21 are used for the first objective evaluation factor of calculating network video quality, and the second objective evaluation submodule 22 is used for calculating network
The second objective evaluation factor of video quality, the objective evaluation factor acquisition submodule 23 is used for calculating network video quality
The objective evaluation factor.
The first objective evaluation factor of the calculating network video quality, is carried out in the following ways：
A, the corresponding frame for choosing a frame network video image and raw video image, calculate each pixel in two images
Gray value；
B, the first objective evaluation factor using following formula calculating network video quality：
In formula, P × Q is raw video image and network video image size, fijFor the i-th row of network video image correspondence the
The grey scale pixel value of j row, fij' the grey scale pixel value arranged for correspondence raw video image the i-th row jth of correspondence；
The first objective evaluation factor is smaller, and network video quality is better.
The second objective evaluation factor of the calculating network video quality, is carried out in the following ways：
A, network video quality include multiple major influence factors, and the major influence factors set representations of network video quality are
C={ C1,…,Cn, wherein, n represents major influence factors number, and each major influence factors include multiple main affecting parameters,
Major influence factors CkCorresponding main affecting parameters set representations are Dk={ Dk1,…,Dkj, wherein, k ∈ [1, n], j represents main
Want influence factor CkComprising main affecting parameters number, wherein, main affecting parameters are positive parameter, and value shows more greatly
Network video quality is better；
B, the main affecting parameters value by measuring acquisition network video quality, are used with lower section to main affecting parameters value
Formula processing, the main affecting parameters value after being handled：
In formula, FmaxAnd FminUpper limitation and the lower limit of main affecting parameters value are represented respectively, and F represents the main of before processing
Affecting parameters value, the main affecting parameters value after F ' expressions processing；
C, the second objective evaluation factor using following formula calculating network video quality：
In formula, F 'klL-th of main affecting parameters value of k-th of major influence factors after expression processing, βlFor main shadow
The corresponding weight of parameter value is rung,γkFor the corresponding weight of major influence factors,
The second objective evaluation factor is bigger, and network video quality is better.
The objective evaluation factor of the calculating network video quality, is carried out in the following ways：In formula, B
Represent the objective evaluation factor of network video quality；The objective evaluation factor is bigger, and network video quality is better.
This preferred embodiment objective evaluation module is combined using the first objective evaluation factor and the second objective evaluation factor
Mode determines the objective evaluation factor of network video quality, while obtaining the comparable situation of network video quality and original video
With the independent assessment situation to network video quality, assess more fully, can by handling main affecting parameters value
The dimension of different main affecting parameters is eliminated, is easy to different parameters to be compared.
It is preferred that, the performance evaluation module 3 is by comprehensive evaluation value to the subjective evaluation factor and the objective evaluation factor
Assess accuracy to be evaluated, the comprehensive evaluation value is obtained by following formula：
In formula, P represents comprehensive evaluation value, and the quantity of Internet video is M, AiRepresent the subjectivity of i-th of network video quality
Evaluation factor, the subjective evaluation factor average of M network video quality of A ' expressions, BiRepresent the visitor of i-th of network video quality
See evaluation factor, the objective evaluation factor average of M network video quality of B ' expressions；Comprehensive evaluation value is smaller, shows to network
Video quality assessment is more accurate.
This preferred embodiment performance evaluation module is carried out to the assessment accuracy of the subjective evaluation factor and the objective evaluation factor
Evaluate, be easy to constantly be improved subjective evaluation module and objective evaluation module, obtain more accurate network video quality
Evaluation result.
Accurate network video quality assessment system is assessed using the present invention to be estimated network video quality, works as δ1With
δ2When taking different value, counted to assessing accuracy and assessment time, compared with the present invention is not used, the beneficial effect of generation
It is as shown in the table：
| The assessment time is reduced | Accuracy is assessed to improve | |
| δ1=0.3, δ2=0.7 | 10% | 18% |
| δ1=0.4, δ2=0.6 | 15% | 23% |
| δ1=0.5, δ2=0.5 | 20% | 25% |
| δ1=0.6, δ2=0.4 | 24% | 28% |
| δ1=0.7, δ2=0.3 | 31% | 32% |
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than to present invention guarantor
The limitation of scope is protected, although being explained with reference to preferred embodiment to the present invention, one of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent substitution, without departing from the reality of technical solution of the present invention
Matter and scope.
Claims (7)
1. one kind assesses accurate network video quality assessment system, it is characterised in that including subjective evaluation module, objective evaluation
Module and performance evaluation module, the subjective evaluation module are used to carry out subjective evaluation to network video quality, obtain subjectivity and comment
Estimate the factor, the objective evaluation module is used to carry out objective evaluation to network video quality, obtains the objective evaluation factor, the property
Energy evaluation module is used to evaluate the assessment accuracy of the subjective evaluation factor and the objective evaluation factor.
2. according to claim 1 assess accurate network video quality assessment system, it is characterised in that described to network
Video quality carries out subjective evaluation, carries out in the following ways：
A, observer watch original video first, then watch Internet video, and different observers are beaten network video quality
Point, marking is carried out using hundred-mark system, and score value is higher, is represented that network video quality is better, is asked for different observers to Internet video
The average value a of marking0；
B, Internet video is divided into n image segments, different observers give a mark to each image segments quality, obtain different sights
The average value a that survey person gives a mark to respective segments1,a2,…,an；
C, calculating network video quality the subjective evaluation factor：In formula, A is represented
The subjective evaluation factor of network video quality, δ1And δ2Represent weight, δ1+δ2=1；The subjective evaluation factor is bigger, Internet video matter
Amount is better.
3. according to claim 2 assess accurate network video quality assessment system, it is characterised in that described objective to comment
Estimate module to network video quality carry out objective evaluation, including the first objective evaluation submodule, the second objective evaluation submodule and
Objective evaluation factor acquisition submodule, what the first objective evaluation submodule was used for calculating network video quality first objective comments
Estimate the factor, the second objective evaluation submodule is used for the second objective evaluation factor of calculating network video quality, described objective
Evaluation factor acquisition submodule is used for the objective evaluation factor of calculating network video quality.
4. according to claim 3 assess accurate network video quality assessment system, it is characterised in that the calculating net
The first objective evaluation factor of network video quality, is carried out in the following ways：
A, the corresponding frame for choosing a frame network video image and raw video image, calculate the ash of each pixel in two images
Angle value；
B, the first objective evaluation factor using following formula calculating network video quality：
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In formula, P × Q is raw video image and network video image size, fijFor network video image correspondence the i-th row jth row
Grey scale pixel value, fij' the grey scale pixel value arranged for correspondence raw video image the i-th row jth of correspondence；
The first objective evaluation factor is smaller, and network video quality is better.
5. according to claim 4 assess accurate network video quality assessment system, it is characterised in that the calculating net
The second objective evaluation factor of network video quality, is carried out in the following ways：
A, network video quality include multiple major influence factors, and the major influence factors set representations of network video quality are C=
{C1,…,Cn, wherein, n represents major influence factors number, and each major influence factors include multiple main affecting parameters, main
Want influence factor CkCorresponding main affecting parameters set representations are Dk={ Dk1,…,Dkj, wherein, k ∈ [1, n], j represents main
Influence factor CkComprising main affecting parameters number, wherein, main affecting parameters are positive parameter, and value shows more greatly net
Network video quality is better；
B, the main affecting parameters value by measuring acquisition network video quality, locate in the following ways to main affecting parameters value
Reason, the main affecting parameters value after being handled：
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In formula, FmaxAnd FminUpper limitation and the lower limit of main affecting parameters value are represented respectively, and F represents the main influence of before processing
Parameter value, the main affecting parameters value after F ' expressions processing；
C, the second objective evaluation factor using following formula calculating network video quality：
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The corresponding weight of numerical value,γkFor the corresponding weight of major influence factors,
The second objective evaluation factor is bigger, and network video quality is better.
6. according to claim 5 assess accurate network video quality assessment system, it is characterised in that the calculating net
The objective evaluation factor of network video quality, is carried out in the following ways：In formula, B represents network video quality
The objective evaluation factor；The objective evaluation factor is bigger, and network video quality is better.
7. according to claim 6 assess accurate network video quality assessment system, it is characterised in that the performance is commented
Valency module is evaluated the assessment accuracy of the subjective evaluation factor and the objective evaluation factor by comprehensive evaluation value, the synthesis
Evaluation of estimate is obtained by following formula：
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In formula, P represents comprehensive evaluation value, and the quantity of Internet video is M, AiRepresent the subjective evaluation of i-th of network video quality because
Son, the subjective evaluation factor average of M network video quality of A ' expressions, BiRepresent the objective evaluation of i-th of network video quality
The factor, the objective evaluation factor average of M network video quality of B ' expressions；Comprehensive evaluation value is smaller, shows to Internet video matter
It is more accurate that amount is assessed.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110366043A (en) * | 2019-08-20 | 2019-10-22 | 北京字节跳动网络技术有限公司 | Method for processing video frequency, device, electronic equipment and readable medium |
| CN111314691A (en) * | 2018-12-11 | 2020-06-19 | 中国移动通信集团广东有限公司 | Video call quality assessment method and device |
| CN113542796A (en) * | 2020-04-22 | 2021-10-22 | 腾讯科技（深圳）有限公司 | Video evaluation method and device, computer equipment and storage medium |
Citations (2)
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| CN111314691B (en) * | 2018-12-11 | 2022-09-16 | 中国移动通信集团广东有限公司 | Video call quality assessment method and device |
| CN110366043A (en) * | 2019-08-20 | 2019-10-22 | 北京字节跳动网络技术有限公司 | Method for processing video frequency, device, electronic equipment and readable medium |
| CN113542796A (en) * | 2020-04-22 | 2021-10-22 | 腾讯科技（深圳）有限公司 | Video evaluation method and device, computer equipment and storage medium |
| CN113542796B (en) * | 2020-04-22 | 2023-08-08 | 腾讯科技（深圳）有限公司 | Video evaluation method, device, computer equipment and storage medium |
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