CN108282491A - A kind of method and device of assessment plug-flow quality - Google Patents
A kind of method and device of assessment plug-flow quality Download PDFInfo
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- CN108282491A CN108282491A CN201810162515.XA CN201810162515A CN108282491A CN 108282491 A CN108282491 A CN 108282491A CN 201810162515 A CN201810162515 A CN 201810162515A CN 108282491 A CN108282491 A CN 108282491A
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- 239000006185 dispersion Substances 0.000 claims abstract description 40
- 238000005070 sampling Methods 0.000 claims abstract description 26
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 16
- 238000004891 communication Methods 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 8
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/80—Responding to QoS
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/233—Processing of audio elementary streams
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
- H04N21/23418—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/24—Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth, upstream requests
-
- 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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/24—Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth, upstream requests
- H04N21/2402—Monitoring of the downstream path of the transmission network, e.g. bandwidth available
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- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
Abstract
A kind of method and device of assessment plug-flow quality provided by the invention, belongs to direct seeding technique field.This method includes：During plug-flow, according to preset time interval and sampling number, the parameter value of audio/video flow characteristic parameter is sampled；Calculate the mean square deviation and mean value of the parameter value of the collected audio/video flow characteristic parameter；According to the mean square deviation and the mean value, feature coefficient of dispersion is calculated；According to the feature coefficient of dispersion and preset plug-flow quality algorithm, the parameter value of plug-flow mass parameter is determined and exported.The accuracy of assessment plug-flow quality can be improved using the present invention.
Description
Technical field
The present invention relates to direct seeding technique fields, more particularly to a kind of method and device of assessment plug-flow quality.
Background technology
In the net cast of show field and game class, plug-flow refers to that audio/video flow is transferred to CDN (Content by main broadcaster
Delivery Network, content distributing network) server, if loss of data during plug-flow, transmission is unstable, will lead
Cause video image quality is unintelligible, video is not smooth, influences customer experience.Plug-flow quality reaction live streaming effect.Therefore assessment plug-flow
Quality is necessary.
In the prior art, technical staff often observes the interim card situation for playing end video, to determine plug-flow quality.Technology
Personnel play end watch live video, count certain time in live video interim card number, with interim card number number come
Indicate the quality of plug-flow quality.Interim card number is more, and plug-flow quality is poorer；Interim card number is fewer, and plug-flow quality is better.
However, playing the interim card of end video and not merely being influenced by plug-flow quality, the originals such as broadcasting end network environment is poor
The interim card of end video is played because also resulting in.Therefore, the processing mode based on the prior art, determine the accuracy of plug-flow quality compared with
Difference.
Invention content
The embodiment of the present invention is designed to provide a kind of method of assessment plug-flow quality, can directly assess plug-flow matter
Amount.Specific technical solution is as follows：
In a first aspect, a kind of method of assessment plug-flow quality is provided, the method includes：
During plug-flow, according to preset time interval and sampling number, the parameter of audio/video flow characteristic parameter is sampled
Value；
Calculate the mean square deviation and mean value of the parameter value of the collected audio/video flow characteristic parameter；
According to the mean square deviation and the mean value, feature coefficient of dispersion is calculated；
According to the feature coefficient of dispersion and preset plug-flow quality algorithm, the parameter of plug-flow mass parameter is determined and exported
Value.
Optionally, described according to the feature coefficient of dispersion and preset plug-flow quality algorithm, it determines and exports plug-flow matter
The parameter value of parameter is measured, including：
The product for calculating the coefficient of dispersion and default regulation coefficient obtains audio/video flow characteristic fluctuation rate；
According to the correspondence of pre-stored audio/video flow characteristic fluctuation rate and plug-flow mass parameter, determine calculated
The targeted parameter value of the corresponding plug-flow mass parameter of audio/video flow characteristic fluctuation rate；
Export the targeted parameter value of plug-flow mass parameter.
Optionally, the correspondence according to pre-stored audio/video flow characteristic fluctuation rate and plug-flow mass parameter,
Determine the targeted parameter value of the corresponding plug-flow mass parameter of calculated audio/video flow characteristic fluctuation rate, including：
Using calculated audio/video flow characteristic fluctuation rate as the targeted parameter value of the plug-flow mass parameter.
Optionally, the correspondence according to pre-stored audio/video flow characteristic fluctuation rate and plug-flow mass parameter,
Determine the targeted parameter value of the corresponding plug-flow mass parameter of calculated audio/video flow characteristic fluctuation rate, including：
Determine the default interval belonging to the audio/video flow characteristic fluctuation rate；
According to the correspondence of affiliated default interval and default plug-flow credit rating, the audio/video flow feature is determined
The corresponding target plug-flow credit rating of affiliated default interval of stability bandwidth, using the target plug-flow credit rating as described in
The targeted parameter value of plug-flow mass parameter.
Optionally, the audio/video flow characteristic parameter, including：
The audio/video flow characteristic parameter is code check or frame per second.
Second aspect, provides a kind of device of assessment plug-flow quality, and described device includes：
Data acquisition module, for during plug-flow, according to preset time interval and sampling number, sampling audio and video
Flow the parameter value of characteristic parameter；
First computing module, for calculate the collected audio/video flow characteristic parameter parameter value mean square deviation and
Value；
Second computing module, for according to the mean square deviation and the mean value, calculating feature coefficient of dispersion；
Output module is determined, for according to the feature coefficient of dispersion and preset plug-flow quality algorithm, determining and exporting
The parameter value of plug-flow mass parameter.
Optionally, the determining output module, including：
First computing unit, the product for calculating the coefficient of dispersion and default regulation coefficient obtain audio/video flow spy
Levy stability bandwidth；
First determination unit, for the correspondence according to pre-stored audio/video flow characteristic fluctuation rate and plug-flow mass parameter
Relationship determines the targeted parameter value of the corresponding plug-flow mass parameter of calculated audio/video flow characteristic fluctuation rate；
First output unit exports the targeted parameter value of plug-flow mass parameter.
Optionally, first determination unit, is additionally operable to：
Using calculated audio/video flow characteristic fluctuation rate as the targeted parameter value of the plug-flow mass parameter.
Optionally, first determination unit, is additionally operable to：
It determines and presets interval belonging to the audio/video flow characteristic fluctuation rate；
According to the correspondence of affiliated default interval and default plug-flow credit rating, the audio/video flow feature is determined
The corresponding target plug-flow credit rating of affiliated default interval of stability bandwidth, using the target plug-flow credit rating as described in
The targeted parameter value of plug-flow mass parameter.
Optionally, the audio/video flow characteristic parameter further includes：
The audio/video flow characteristic parameter is code check or frame per second.
The third aspect provides a kind of computer readable storage medium, is stored in the computer readable storage medium
Computer program realizes claim 1-5 any method and steps when the computer program is executed by processor.
Method provided in an embodiment of the present invention, during plug-flow, according to preset time interval and sampling number, sampling
Audio/video flow characteristic parameter obtains one group of audio/video flow character numerical value；Calculate the square of one group of audio/video flow character numerical value
Difference；Calculate the mean value of one group of audio/video flow numerical value；The mean square deviation divided by the mean value are calculated, audio/video flow feature is obtained
Coefficient of dispersion；According to the feature coefficient of dispersion and preset plug-flow quality algorithm, the ginseng of plug-flow mass parameter is determined and exported
Numerical value.This method only assesses plug-flow quality according to the audio/video flow characteristic parameter during plug-flow, solves the prior art and comments
Plug-flow quality is estimated by the problem of reasons such as end network environment is poor are influenced is played, and improves the accuracy of assessment plug-flow quality.
Certainly, it implements any of the products of the present invention or method is not necessarily required to reach all the above advantage simultaneously.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described.
Fig. 1 is a kind of method flow diagram of assessment plug-flow quality of the embodiment of the present invention；
Fig. 2 is the method flow diagram of a kind of determination of the embodiment of the present invention and the parameter value that exports plug-flow mass parameter；
Fig. 3 is a kind of method flow diagram of determining plug-flow mass parameter of the embodiment of the present invention；
Fig. 4 is a kind of apparatus structure schematic diagram of assessment plug-flow quality of the embodiment of the present invention；
Fig. 5 is the structural schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention is described.
In the prior art, technical staff plays the interim card situation of end video often by observation, to determine plug-flow quality.
Technical staff is playing end viewing live video, the interim card number of live video in certain time is counted, with the more of interim card number
It is few to indicate the quality of plug-flow quality.Interim card number is more, and plug-flow quality is poorer；Interim card number is fewer, and plug-flow quality is better.So
And play the interim card of end video and not merely only influenced by plug-flow quality, end network environment is poor etc. that reasons can also be led for broadcasting
Cause the interim card of broadcasting end video.Therefore, the processing mode based on the prior art determines that the accuracy of plug-flow quality is poor.
Based on above-mentioned consideration, the present invention provides a kind of method, apparatus, electronic equipment and the computers of assessment plug-flow quality
Readable storage medium storing program for executing.The above method can be applied to obtain the terminal of the audio/video flow characteristic parameter during plug-flow, packet
It includes:Terminal, according to preset time interval and sampling number, can sample the ginseng of audio/video flow characteristic parameter during plug-flow
Numerical value；Terminal can calculate the mean square deviation and mean value of the parameter value of the collected audio/video flow characteristic parameter；Terminal can be with
According to the mean square deviation and the mean value, feature coefficient of dispersion is calculated；Terminal can be according to the feature coefficient of dispersion and default
Plug-flow quality algorithm, determine and export the parameter value of plug-flow mass parameter.It, can be with using method provided in an embodiment of the present invention
Based on the audio/video flow characteristic parameter during plug-flow, plug-flow quality is assessed, not by playing the reasons shadows such as end network environment is poor
It rings.The prior art that compares by the broadcasting end video cardton situation feedback that the reasons such as end network environment is poor are influenced is played by being pushed away
Current mass, method provided in an embodiment of the present invention can improve the accuracy of assessment plug-flow quality.
The above method is introduced with specific embodiment below.
Referring to Fig. 1, Fig. 1 is a kind of method flow diagram of assessment plug-flow quality of the embodiment of the present invention, is included the following steps：
Step 101, during plug-flow, according to preset time interval and sampling number, sampling audio/video flow feature ginseng
Several parameter values.
Specifically, the audio/video flow characteristic parameter is code check or frame per second.
In a kind of realization method, during plug-flow, terminal is regarded according to preset time interval and sampling number, sampling sound
Frequency flows the parameter value of characteristic parameter, obtains the parameter value { x of the audio/video flow characteristic parameter of one group of Time Continuous1,x1,x1,……,
xn, wherein n is preset sampling number.Illustratively, audio/video flow characteristic parameter be code check, to code check according to it is preset when
Between interval and sampling number sampled, it is assumed that time interval is 5 seconds, the sampled data of sampling number 10, code check be 5,
6,4,3,5,6,5,5,7,5 }, then the parameter value of the audio/video flow characteristic parameter sampled is { 5,6,4,3,5,6,5,5,7,5 }.
Step 102, the mean square deviation and mean value of the parameter value of the collected audio/video flow characteristic parameter are calculated.
In a kind of realization method, terminal calculates the mean value of the parameter value of the audio/video flow characteristic parameter according to formula (1).
Wherein, μ is the mean value of the parameter value of audio/video flow characteristic parameter, and N is using points, xiIt is special for sampling audio/video flow
Levy the parameter value of parameter.
Terminal is equal according to the parameter value of the audio/video flow characteristic parameter of sampling and the parameter value of audio/video flow characteristic parameter
Value, the mean square deviation of the parameter value of audio/video flow characteristic parameter is calculated by formula (2).
Wherein, σ is the mean square deviation of the parameter value of audio/video flow characteristic parameter, and N is using points, and μ is audio/video flow feature
The mean value of the parameter value of parameter, xiTo sample the parameter value of audio/video flow characteristic parameter.
Illustratively, it is assumed that the audio/video flow characteristic parameter of sampling be code check, sampling parameter value be 5,6,4,3,5,
6,5,5,7,5 }, then the mean value that the parameter value of audio/video flow characteristic parameter is calculated according to formula (1) is 5.1, according to public affairs
The mean square deviation that the parameter value of audio/video flow characteristic parameter is calculated in formula (2) is 1.044.
Step 103, according to the mean square deviation and the mean value, feature coefficient of dispersion is calculated.
In a kind of realization method, terminal calculate the parameter value of audio/video flow characteristic parameter mean square deviation divided by audio/video flow it is special
The mean value of the parameter value of parameter is levied, obtained result is characterized coefficient of dispersion.Illustratively, it is assumed that audio/video flow characteristic parameter
Parameter value mean square deviation be 1.044, the mean value of the parameter value of audio/video flow characteristic parameter is 5.1, then feature coefficient of dispersion is
1.04 divided by 5.1 as a result, feature coefficient of dispersion be 0.2.
Step 104, it according to the feature coefficient of dispersion and preset plug-flow quality algorithm, determines and exports plug-flow quality ginseng
Several parameter values.
In a kind of realization method, terminal is calculated with preset plug-flow quality algorithm and is determined according to the feature coefficient of dispersion
The parameter value of plug-flow mass parameter, and export the parameter value of determining plug-flow mass parameter.Illustratively, preset plug-flow quality
Algorithm can be that feature coefficient of dispersion is multiplied by 100 expression plug-flow mass parameters, it is assumed that coefficient of dispersion 0.2, then plug-flow quality join
Several parameter values be 100 be multiplied by 0.2 as a result, the parameter value of plug-flow mass parameter is 20.Illustratively, terminal can be by short
The parameter value 20 of plug-flow mass parameter is sent to user by letter mode, terminal.
From the foregoing, it can be seen that using method provided in an embodiment of the present invention, terminal can be based on audio/video flow characteristic parameter, really
Determine plug-flow quality, the result of acquisition will not be influenced by end network environment is played, and can improve the accuracy of assessment plug-flow quality.
Specifically, referring to Fig. 2, Fig. 2 is a kind of determination provided in an embodiment of the present invention and exports the ginseng of plug-flow mass parameter
The method flow diagram of numerical value, includes the following steps：
Step 201, the product for calculating the coefficient of dispersion and default regulation coefficient obtains audio/video flow characteristic fluctuation rate.
In a kind of realization method, terminal calculates the product of the coefficient of dispersion and default regulation coefficient, and result of calculation
As audio/video flow characteristic fluctuation rate, the default regulation coefficient is a non-zero constant.Illustratively, it is assumed that coefficient of dispersion is
0.2, preset regulation coefficient be 100, then audio/video flow characteristic fluctuation rate be 0.2 be multiplied by 100 as a result, audio/video flow characteristic fluctuation
Rate is 20.
Step 202, it according to the correspondence of pre-stored audio/video flow characteristic fluctuation rate and plug-flow mass parameter, determines
The targeted parameter value of the corresponding plug-flow mass parameter of calculated audio/video flow characteristic fluctuation rate.
In a kind of realization method, terminal passes through pre-stored audio and video according to calculated audio and video characteristic stability bandwidth
The correspondence for flowing characteristic fluctuation rate and plug-flow mass parameter, determines the target component of plug-flow mass parameter.
Step 203, the targeted parameter value of plug-flow mass parameter is exported.
In a kind of realization method, terminal can be by the targeted parameter value of plug-flow mass parameter, either by word pop-up
Voice mode exports, alternatively, user can also be informed by mail or short message mode.
From the foregoing, it can be seen that using method provided in an embodiment of the present invention, terminal can be based on audio/video flow characteristic fluctuation rate
With preset plug-flow relationship between quality, plug-flow quality is determined.Because audio/video flow characteristic fluctuation rate be a specific numerical value without
It is a value range, so determining plug-flow quality by the audio/video flow characteristic fluctuation rate for possessing concrete numerical value, can improves
Assess the accuracy of plug-flow quality.
Specifically, terminal can be using calculated audio/video flow characteristic fluctuation rate as the target of the plug-flow mass parameter
Parameter value.
In a kind of realization method, terminal can join calculated audio/video flow characteristic fluctuation rate as the plug-flow quality
Several targeted parameter values.Illustratively, it is assumed that audio/video flow characteristic fluctuation rate is 20, then the target ginseng of the plug-flow mass parameter
Numerical value is also 20.
From the foregoing, it can be seen that using method provided in an embodiment of the present invention, terminal can directly use audio/video flow feature baud
Rate indicates plug-flow mass parameter, and the smaller expression plug-flow quality of audio/video flow feature baud rate is better, audio/video flow feature baud rate
Bigger expression plug-flow quality is poorer, compares plug-flow quality with audio/video flow feature baud rate score, simple and convenient, facilitates different
Flow pulling equipment carries out plug-flow quality and compares.
Specifically, referring to Fig. 3, Fig. 3 is a kind of method flow of determining plug-flow mass parameter provided in an embodiment of the present invention
Figure, includes the following steps：
Step 301, it determines and presets interval belonging to the audio/video flow characteristic fluctuation rate；
In a kind of realization method, drawn between the maxima and minima that terminal may get audio/video flow characteristic fluctuation rate
Divide different sections, these sections are referred to as default interval, then pass through current audio/video flow characteristic fluctuation rate and affiliated preset areas
Between upper lower limit value be compared, determine belonging to current audio/video flow characteristic fluctuation rate preset interval.Illustratively, it is assumed that sound
The maxima and minima that video stream characteristics stability bandwidth may be got is 100 and 0 respectively, and default interval is divided into four
Section, this four sections be respectively [0,25), [25,50), [50,75), [75,100], it is assumed that audio/video flow characteristic fluctuation rate is
20, then the affiliated section that current audio/video flow characteristic fluctuation rate is 20 be [0,25).
Step 302, according to the correspondence of affiliated default interval and default plug-flow credit rating, determine that the sound regards
The corresponding target plug-flow credit rating of affiliated default interval of frequency stream characteristic fluctuation rate, by the target plug-flow credit rating
Targeted parameter value as the plug-flow mass parameter.
In a kind of realization method, the pre-set each default interval of terminal corresponds to a plug-flow credit rating, root
According to default interval belonging to current audio and video characteristic stability bandwidth, you can determine plug-flow credit rating.Described plug-flow quality etc.
Grade is the targeted parameter value of the plug-flow mass parameter.Illustratively, it is assumed that default interval [0,25), [25,50), [50,
75) and [75,100] corresponding grade interval be it is excellent, good, in, it is poor, then audio/video flow characteristic fluctuation rate for 20 plug-flow
Credit rating is excellent, i.e., the targeted parameter value of the described plug-flow mass parameter is excellent.
From the foregoing, it can be seen that using method provided in an embodiment of the present invention, terminal directly can indicate plug-flow with different brackets
Quality, facilitating quality of the user to itself plug-flow quality, there are one clearly recognize.
Based on the same technical idea, embodiment of the method shown in Fig. 1 is corresponded to, the embodiment of the present invention additionally provides one kind and comments
The device of plug-flow quality is estimated, as shown in Fig. 2, the device includes：
Data acquisition module 401, for during plug-flow, according to preset time interval and sampling number, sampling sound
The parameter value of video stream characteristics parameter；
First computing module 402, the mean square deviation of the parameter value for calculating the collected audio/video flow characteristic parameter
And mean value；
Second computing module 403, for according to the mean square deviation and the mean value, calculating feature coefficient of dispersion；
It determines output module 404, is used for according to the feature coefficient of dispersion and preset plug-flow quality algorithm, it is determining and defeated
Go out the parameter value of plug-flow mass parameter.
In embodiments of the present invention, the determining output module, including：
First computing unit, the product for calculating the coefficient of dispersion and default regulation coefficient obtain audio/video flow spy
Levy stability bandwidth；
First determination unit, for the correspondence according to pre-stored audio/video flow characteristic fluctuation rate and plug-flow mass parameter
Relationship determines the targeted parameter value of the corresponding plug-flow mass parameter of calculated audio/video flow characteristic fluctuation rate；
First output unit exports the targeted parameter value of plug-flow mass parameter.
First determination unit in embodiments of the present invention is specifically used for calculated audio/video flow characteristic fluctuation rate
Targeted parameter value as the plug-flow mass parameter.
First determination unit in embodiments of the present invention is specifically additionally operable to determine the audio/video flow characteristic fluctuation rate
Affiliated default interval.According to the correspondence of affiliated default interval and default plug-flow credit rating, the sound is determined
The corresponding target plug-flow credit rating of affiliated default interval of video stream characteristics stability bandwidth, by described target plug-flow quality etc.
Targeted parameter value of the grade as the plug-flow mass parameter.
The audio/video flow characteristic parameter in embodiments of the present invention, including：
The audio/video flow characteristic parameter is code check or frame per second.
The embodiment of the present invention additionally provides a kind of electronic equipment, as shown in figure 5, including processor 501, communication interface 502,
Memory 503 and communication bus 504, wherein processor 501, communication interface 502, memory 503 are complete by communication bus 504
At mutual communication；
Memory 503, for storing computer program；
Processor 501 when for executing the program stored on memory 503, realizes provided in an embodiment of the present invention one
The method of kind assessment plug-flow quality.
Specifically, a kind of method of above-mentioned assessment plug-flow quality, including：
During plug-flow, according to preset time interval and sampling number, the parameter of audio/video flow characteristic parameter is sampled
Value；
Calculate the mean square deviation and mean value of the parameter value of the collected audio/video flow characteristic parameter；
According to the mean square deviation and the mean value, feature coefficient of dispersion is calculated；
According to the feature coefficient of dispersion and preset plug-flow quality algorithm, the parameter of plug-flow mass parameter is determined and exported
Value.
The communication bus 504 of above-mentioned electronic equipment can be Peripheral Component Interconnect standard (Peripheral Component
Interconnect, abbreviation PCI) bus or expanding the industrial standard structure (Extended Industry Standard
Architecture, abbreviation EISA) bus etc..The communication bus 504 can be divided into address bus, data/address bus, controlling bus
Deng.For ease of indicating, only indicated with a thick line in figure, it is not intended that an only bus or a type of bus.
Communication interface 502 is for the communication between above-mentioned electronic equipment and other equipment.
Memory 503 may include random access memory (Random Access Memory, abbreviation RAM), can also
Including nonvolatile memory (non-volatile memory), for example, at least a magnetic disk storage.Optionally, memory
503 can also be at least one storage device for being located remotely from aforementioned processor.
Above-mentioned processor 501 can be general processor, including central processing unit (Central Processing
Unit, abbreviation CPU), network processing unit (Network Processor, abbreviation NP) etc.；It can also be digital signal processor
(Digital Signal Processing, abbreviation DSP), application-specific integrated circuit (Application Specific
Integrated Circuit, abbreviation ASIC), field programmable gate array (Field Programmable Gate Array,
Abbreviation FPGA) either other programmable logic device, discrete gate or transistor logic, discrete hardware components.
Electronic equipment provided in an embodiment of the present invention can be based on audio/video flow feature when carrying out assessment plug-flow quality
Parameter determines that plug-flow quality, the result of acquisition will not be influenced by end network environment is played, can improve assessment plug-flow quality
Accuracy.
In another embodiment provided by the invention, a kind of computer readable storage medium is additionally provided, which can
It reads to be stored with instruction in storage medium, when run on a computer so that computer executes any institute in above-described embodiment
The method for the assessment plug-flow quality stated.
Specifically, a kind of method of above-mentioned assessment plug-flow quality, including：
During plug-flow, according to preset time interval and sampling number, the parameter of audio/video flow characteristic parameter is sampled
Value；
Calculate the mean square deviation and mean value of the parameter value of the collected audio/video flow characteristic parameter；
According to the mean square deviation and the mean value, feature coefficient of dispersion is calculated；
According to the feature coefficient of dispersion and preset plug-flow quality algorithm, the parameter of plug-flow mass parameter is determined and exported
Value.
In another embodiment provided by the invention, a kind of computer program product including instruction is additionally provided, when it
When running on computers so that the method that computer executes any assessment plug-flow quality in above-described embodiment.
Specifically, a kind of method of above-mentioned assessment plug-flow quality, including：
During plug-flow, according to preset time interval and sampling number, the parameter of audio/video flow characteristic parameter is sampled
Value；
Calculate the mean square deviation and mean value of the parameter value of the collected audio/video flow characteristic parameter；
According to the mean square deviation and the mean value, feature coefficient of dispersion is calculated；
According to the feature coefficient of dispersion and preset plug-flow quality algorithm, the parameter of plug-flow mass parameter is determined and exported
Value.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or its arbitrary combination real
It is existing.When implemented in software, it can entirely or partly realize in the form of a computer program product.The computer program
Product includes one or more computer instructions.When loading on computers and executing the computer program instructions, all or
It partly generates according to the flow or function described in the embodiment of the present invention.The computer can be all-purpose computer, special meter
Calculation machine, computer network or other programmable devices.The computer instruction can be stored in computer readable storage medium
In, or from a computer readable storage medium to the transmission of another computer readable storage medium, for example, the computer
Instruction can pass through wired (such as coaxial cable, optical fiber, number from a web-site, computer, server or data center
User's line (DSL)) or wireless (such as infrared, wireless, microwave etc.) mode to another web-site, computer, server or
Data center is transmitted.The computer readable storage medium can be any usable medium that computer can access or
It is comprising data storage devices such as one or more usable mediums integrated server, data centers.The usable medium can be with
It is magnetic medium, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state disk
Solid State Disk (SSD)) etc..
It should be noted that herein, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also include other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
Each embodiment in this specification is all made of relevant mode and describes, identical similar portion between each embodiment
Point just to refer each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality
For applying example, since it is substantially similar to the method embodiment, so description is fairly simple, related place is referring to embodiment of the method
Part explanation.
Claims (11)
1. a kind of method of assessment plug-flow quality, which is characterized in that the method includes：
During plug-flow, according to preset time interval and sampling number, the parameter value of audio/video flow characteristic parameter is sampled；
Calculate the mean square deviation and mean value of the parameter value of the collected audio/video flow characteristic parameter；
According to the mean square deviation and the mean value, feature coefficient of dispersion is calculated；
According to the feature coefficient of dispersion and preset plug-flow quality algorithm, the parameter value of plug-flow mass parameter is determined and exported.
2. method according to claim 1, which is characterized in that described according to the feature coefficient of dispersion and preset plug-flow matter
Quantity algorithm determines and exports the parameter value of plug-flow mass parameter, including：
The product for calculating the coefficient of dispersion and default regulation coefficient obtains audio/video flow characteristic fluctuation rate；
According to the correspondence of pre-stored audio/video flow characteristic fluctuation rate and plug-flow mass parameter, determine that calculated sound regards
The targeted parameter value of the corresponding plug-flow mass parameter of frequency stream characteristic fluctuation rate；
Export the targeted parameter value of plug-flow mass parameter.
3. method according to claim 2, which is characterized in that it is described according to pre-stored audio/video flow characteristic fluctuation rate and
The correspondence of plug-flow mass parameter determines the corresponding plug-flow mass parameter of calculated audio/video flow characteristic fluctuation rate
Targeted parameter value, including：
Using calculated audio/video flow characteristic fluctuation rate as the targeted parameter value of the plug-flow mass parameter.
4. method according to claim 2, which is characterized in that it is described according to pre-stored audio/video flow characteristic fluctuation rate and
The correspondence of plug-flow mass parameter determines the corresponding plug-flow mass parameter of calculated audio/video flow characteristic fluctuation rate
Targeted parameter value, including：
Determine the default interval belonging to the audio/video flow characteristic fluctuation rate；
According to the correspondence of affiliated default interval and default plug-flow credit rating, the audio/video flow characteristic fluctuation is determined
The corresponding target plug-flow credit rating of affiliated default interval of rate, using the target plug-flow credit rating as the plug-flow
The targeted parameter value of mass parameter.
5. method according to claim 1, which is characterized in that the audio/video flow characteristic parameter, including：
The audio/video flow characteristic parameter is code check or frame per second.
6. a kind of device of assessment plug-flow quality, which is characterized in that described device includes：
Data acquisition module, for during plug-flow, according to preset time interval and sampling number, sampling audio/video flow to be special
Levy the parameter value of parameter；
First computing module, the mean square deviation and mean value of the parameter value for calculating the collected audio/video flow characteristic parameter；
Second computing module, for according to the mean square deviation and the mean value, calculating feature coefficient of dispersion；
Output module is determined, for according to the feature coefficient of dispersion and preset plug-flow quality algorithm, determining and exporting plug-flow
The parameter value of mass parameter.
7. device according to claim 6, which is characterized in that the determining output module, including：
First computing unit, the product for calculating the coefficient of dispersion and default regulation coefficient obtain audio/video flow characteristic wave
Dynamic rate；
First determination unit, for being closed according to pre-stored audio/video flow characteristic fluctuation rate and the corresponding of plug-flow mass parameter
System, determines the targeted parameter value of the corresponding plug-flow mass parameter of calculated audio/video flow characteristic fluctuation rate；
First output unit exports the targeted parameter value of plug-flow mass parameter.
8. device according to claim 7, which is characterized in that first determination unit is additionally operable to：
Using calculated audio/video flow characteristic fluctuation rate as the targeted parameter value of the plug-flow mass parameter.
9. device according to claim 7, which is characterized in that first determination unit is additionally operable to：
It determines and presets interval belonging to the audio/video flow characteristic fluctuation rate；
According to the correspondence of affiliated default interval and default plug-flow credit rating, the audio/video flow characteristic fluctuation is determined
The corresponding target plug-flow credit rating of affiliated default interval of rate, using the target plug-flow credit rating as the plug-flow
The targeted parameter value of mass parameter.
10. device according to claim 6, which is characterized in that the audio/video flow characteristic parameter, including：
The audio/video flow characteristic parameter is code check or frame per second.
11. a kind of electronic equipment, which is characterized in that including processor, communication interface, memory and communication bus, wherein processing
Device, communication interface, memory complete mutual communication by communication bus；
Memory, for storing computer program；
Processor when for executing the program stored on memory, realizes any method and steps of claim 1-6.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140296080A1 (en) * | 2013-03-14 | 2014-10-02 | Life Technologies Corporation | Methods, Systems, and Computer Readable Media for Evaluating Variant Likelihood |
| CN105144711A (en) * | 2014-01-14 | 2015-12-09 | 华为技术有限公司 | Method for assessing video quality and related device |
| CN107026856A (en) * | 2017-03-30 | 2017-08-08 | 上海七牛信息技术有限公司 | The optimization method and optimization system of a kind of network plug-flow quality |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140296080A1 (en) * | 2013-03-14 | 2014-10-02 | Life Technologies Corporation | Methods, Systems, and Computer Readable Media for Evaluating Variant Likelihood |
| CN105144711A (en) * | 2014-01-14 | 2015-12-09 | 华为技术有限公司 | Method for assessing video quality and related device |
| CN107026856A (en) * | 2017-03-30 | 2017-08-08 | 上海七牛信息技术有限公司 | The optimization method and optimization system of a kind of network plug-flow quality |
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