CN110113642A - A kind of ABS algorithm evaluation method and device - Google Patents
A kind of ABS algorithm evaluation method and device Download PDFInfo
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- CN110113642A CN110113642A CN201910292894.9A CN201910292894A CN110113642A CN 110113642 A CN110113642 A CN 110113642A CN 201910292894 A CN201910292894 A CN 201910292894A CN 110113642 A CN110113642 A CN 110113642A
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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, manipulating MPEG-4 scene graphs
- H04N21/2343—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
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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
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/266—Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel
- H04N21/2662—Controlling the complexity of the video stream, e.g. by scaling the resolution or bitrate of the video stream based on the client capabilities
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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, rendering scenes according to MPEG-4 scene graphs
- H04N21/4402—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display
Abstract
The embodiment of the invention provides a kind of ABS algorithm evaluation method and devices, it include: for ABS algorithm to be assessed, obtain the broadcasting experience data from multiple client, playing experience data is broadcasting experience data when client carries out video playing according to target bit rate, target bit rate is based on the video playing parameter from client, the code rate determined using ABS algorithm to be assessed, video playing parameter is video playing parameter when client carries out video playing according to the code rate used before target bit rate, play the result of broadcast of experience data representing video, and the broadcasting experience data from multiple client based on acquisition, calculate the broadcasting experience index of ABS algorithm to be assessed, and experience index will be played and compared with scale index, obtain the assessment result of ABS algorithm to be assessed, wherein, scale Index experiences index for the broadcasting being calculated when carrying out video playing according to default code rate, it is possible to reduce the time cycle of assessment and the adjustment of ABS algorithm.
Description
Technical field
The present invention relates to video technique fields, more particularly to a kind of ABS algorithm evaluation method and device.
Background technique
With the development of network technology, more and more users like watching video by network, and in network
The continuous promotion of the quality and quantity of video content, requirement of the user to the viewing experience of internet video are also higher and higher.Depending on
The clarity and fluency that frequency plays are to influence most important two factors of viewing experience, in general, the code rate of a video
Higher, the clarity played is higher, but the video that code rate is excessively high, and when broadcasting is often more easy to happen Caton, to reduce
The fluency of video playing.
Clarity and fluency when in order to balance video broadcasting, for the same broadcasting content, Video service is mentioned
For quotient when providing Video service, the video for often providing multiple cbr (constant bit rate)s is selected for user.When watching video,
User can be watched according to the viewing experience of oneself, the video for manually selecting suitable code rate.User feels when watching video
The clarity for obtaining video does not reach requirement, and can manually select the higher video of code rate, in video display process, frequently occurs
When Caton, user, which can manually select, reduces code rate viewing video, it is ensured that watches the fluency of video.
The code rate for playing video is manually selected by user, although clarity and smoothness when can play with balance video
Degree, but user frequently manually selects code rate, may influence the viewing experience of user to a certain extent.For this purpose, existing adopt more
Player is automatically selected with ABS (Adaptive Bitrate Streaming, adaptive bitrate stream) technology to be suitble to currently
The code rate of playing environment, the mode realized are built-in ABS algorithms in player, and ABS algorithm is actual according to player
Playing environment determines the code rate of suitable current playback environment, frequently manually selects code rate so as to avoid user.
In order to constantly be optimized to ABS algorithm, to improve the algorithm effect of ABS algorithm, it usually needs right
The algorithm effect of ABS algorithm is assessed, and when assessing the algorithm effect of an ABS algorithm, is needed the broadcasting in test zone
Device upgrades to the player including ABS algorithm to be assessed, the video playing data of player in test zone is regathered, by right
The analysis of played data obtains the assessment result of ABS algorithm, when the assessment result of ABS algorithm does not reach requirement, needs to ABS
When algorithm is adjusted, for example, it is desired to optimize to ABS algorithm, then need player is upgraded to comprising rising again
The player of ABS algorithm after grade.
Inventor has found that at least there are the following problems for the prior art in the implementation of the present invention:
The method that ABS algorithm is built into player needs to upgrade broadcasting when ABS algorithm is assessed and adjusted
Device, long period.
Summary of the invention
The embodiment of the present invention is designed to provide a kind of ABS algorithm evaluation method and device, to shorten commenting for ABS algorithm
The time cycle estimated and adjusted.Specific technical solution is as follows:
The embodiment of the present invention provides a kind of ABS algorithm evaluation method, comprising:
For ABS algorithm to be assessed, the broadcasting experience data from multiple client is obtained, the broadcasting experience data is
The client carries out broadcasting experience data when video playing according to target bit rate, and the target bit rate is based on from described
The video playing parameter of client, the code rate determined using the ABS algorithm to be assessed, the video playing parameter are the visitor
Family end carries out video playing parameter when video playing according to the code rate used before the target bit rate, and number is experienced in the broadcasting
According to the result of broadcast for indicating video；
The broadcasting experience data from the multiple client based on acquisition calculates the ABS algorithm to be assessed
Broadcasting experience index；
Broadcasting experience index is compared with scale index, obtains the assessment result of the ABS algorithm to be assessed,
Wherein, the scale index experiences index for the broadcasting being calculated when carrying out video playing according to default code rate.
Further, the broadcasting experience data packet includes code rate and Caton number, and the broadcasting experience index includes: clear
Spend index and fluency index；
The broadcasting experience data from the multiple client based on acquisition calculates the ABS to be assessed
Index is experienced in the broadcasting of algorithm, comprising:
Code rate in the broadcasting experience data from the multiple client is added, the ABS to be assessed is obtained
The articulation index of algorithm；
Caton number in the broadcasting experience data from the multiple client is added, is obtained described to be assessed
The fluency index of ABS algorithm.
Further, the scale index includes: clear anale settting scale index and smooth anale settting scale index, wherein described clear
The articulation index being calculated when clear anale settting scale index is according to default code rate progress video playing, the smoothness anale settting scale
The fluency index being calculated when index is according to default code rate progress video playing；
The default code rate includes original code rate, maximal rate and the minimum code rate of played video；
It is described to compare broadcasting experience index with scale index, obtain the assessment of the ABS algorithm to be assessed
As a result, comprising:
Judge the articulation index of the ABS algorithm to be assessed whether be in the clear anale settting scale index of minimum code rate with most
Between the clear anale settting scale index of big code rate and whether the fluency index of the ABS algorithm to be assessed is in minimum code rate
Smooth anale settting scale index and maximal rate smooth anale settting scale index between；
If being, determine that the ABS algorithm to be assessed is reasonable ABS algorithm.
Further, index is experienced in the broadcasting further include: comprehensive evaluation index；
The scale index further include: overall merit scale index, wherein the overall merit scale index is described clear
Clear anale settting scale index and the smooth anale settting scale index are weighted what summation obtained；
The method also includes:
According to the articulation index and the respective weight of fluency index of the ABS algorithm to be assessed, calculate described to be evaluated
Estimate the articulation index of ABS algorithm and the weighted sum of fluency index, the overall merit as the ABS algorithm to be assessed refers to
Mark；
When the ABS algorithm to be assessed is reasonable ABS algorithm, judge that the overall merit of the ABS algorithm to be assessed refers to
Whether mark is greater than the overall merit scale index of the original code rate；
If so, determining that the ABS algorithm to be assessed is qualification ABS algorithm.
The embodiment of the present invention also provides a kind of code rate and determines method, is applied to client, comprising:
Collect video playing parameter when carrying out video playing according to current code rate；
The video playing parameter is sent to server；
The target bit rate that the server is sent is received, the target bit rate is to use based on the video playing parameter
The code rate for needing to use for the client that the ABS algorithm of client distribution determines；
According to the received target bit rate, video playing is carried out；
Broadcasting experience data when carrying out video playing according to the target bit rate is collected, the broadcasting experience tables of data is shown
The result of broadcast of video；
The broadcasting experience data is sent to the server, the broadcasting experience data is used for the ABS algorithm
It is assessed.
The embodiment of the present invention also provides a kind of code rate and determines method, is applied to server, comprising:
The video playing parameter that client is sent is received, the video playing parameter is the client according to current code rate
Carry out video playing parameter when video playing；
ABS algorithm is distributed for the client；
The code that the client needs to use is determined using the ABS algorithm of distribution based on the video playing parameter
Rate, as target bit rate；
The target bit rate is sent to the client；
The broadcasting experience data that the client is sent is received, the broadcasting experience data is the client according to described
Target bit rate carries out broadcasting experience data when video playing, indicates the result of broadcast of video, for carrying out to the ABS algorithm
Assessment.
The embodiment of the present invention also provides a kind of ABS algorithm evaluation device, and described device includes:
Data acquisition module, for obtaining the broadcasting experience data from multiple client for ABS algorithm to be assessed,
The experience data that plays is the broadcasting experience data when client carries out video playing according to target bit rate, the target
Code rate is the code rate determined using the ABS algorithm to be assessed based on the video playing parameter from the client, the view
Frequency play parameter is the video playing when client carries out video playing according to the code rate used before the target bit rate
Parameter, the result of broadcast for playing experience data representing video；
Index computing module is calculated for the broadcasting experience data from the multiple client based on acquisition
Index is experienced in the broadcasting of the ABS algorithm to be assessed；
Index contrast module obtains described to be assessed for comparing broadcasting experience index with scale index
The assessment result of ABS algorithm, wherein the scale index is broadcast for what is be calculated when carrying out video playing according to default code rate
Put experience index.
Further, the broadcasting experience data packet includes code rate and Caton number, and the broadcasting experience index includes: clear
Spend index and fluency index；
The index computing module, specifically for will be from the code in the broadcasting experience data of the multiple client
Rate is added, and obtains the articulation index of the ABS algorithm to be assessed, and by the playing body from the multiple client
The Caton number tested in data is added, and obtains the fluency index of the ABS algorithm to be assessed.
Further, the scale index includes: clear anale settting scale index and smooth anale settting scale index, wherein described clear
The articulation index being calculated when clear anale settting scale index is according to default code rate progress video playing, the smoothness anale settting scale
The fluency index being calculated when index is according to default code rate progress video playing；The default code rate includes being played
Video original code rate, maximal rate and minimum code rate；
The index contrast module, specifically for judging whether the articulation index of the ABS algorithm to be assessed is in most
Between the clear anale settting scale index of small code rate and the clear anale settting scale index of maximal rate and the ABS algorithm to be assessed
Whether fluency index is between the smooth anale settting scale index of minimum code rate and the smooth anale settting scale index of maximal rate, and
If being, determine that the ABS algorithm to be assessed is reasonable ABS algorithm.
Further, index is experienced in the broadcasting further include: comprehensive evaluation index；The scale index further include: comprehensive
Evaluate scale index, wherein the overall merit scale index is that the clear anale settting scale index and the smooth anale settting scale refer to
Mark is weighted what summation obtained；
The index contrast module, specifically for being referred to according to the articulation index and fluency of the ABS algorithm to be assessed
Mark respective weight, calculate the articulation index of the ABS algorithm to be assessed and the weighted sum of fluency index, as it is described to
The comprehensive evaluation index of ABS algorithm is assessed, and when the ABS algorithm to be assessed is reasonable ABS algorithm, is judged described to be evaluated
Whether the comprehensive evaluation index for estimating ABS algorithm is greater than the overall merit scale index of the original code rate, and if so, determines institute
Stating ABS algorithm to be assessed is qualification ABS algorithm.
The embodiment of the present invention also provides a kind of ABS algorithm evaluation system, comprising: client, server；
The client carries out video playing parameter when video playing for collecting according to current code rate, and by institute
It states video playing parameter and is sent to the server；
The server, the video playing parameter sent for receiving the client, and according to preset distribution
Strategy distributes ABS algorithm for the client, and is based on the video playing parameter, using the ABS algorithm of distribution,
It determines the code rate that the client needs to use, sends the target bit rate as target bit rate, and to the client；
The client is also used to receive the target bit rate that the server is sent, and according to received described
Target bit rate carries out video playing, and collects broadcasting experience data when carrying out video playing according to the target bit rate, institute
The result of broadcast for playing experience data representing video is stated, and the broadcasting experience data is sent to the server；
The server is also used to receive the broadcasting experience data that the client is sent, and is broadcast according to described
Experience data is put, the ABS algorithm is assessed.
The embodiment of the present invention also provides a kind of electronic equipment, including processor and machine readable storage medium, the machine
Readable storage medium storing program for executing is stored with the machine-executable instruction that can be executed by the processor, and the processor can by the machine
It executes instruction and promotes: the step of realizing any of the above-described ABS algorithm evaluation method.
Present invention implementation additionally provides a kind of computer readable storage medium, storage in the computer readable storage medium
There is the step of computer program, the computer program realizes any of the above-described ABS algorithm evaluation method when being executed by processor.
The embodiment of the invention also provides a kind of computer program products comprising instruction, when it runs on computers
When, so that computer executes any of the above-described ABS algorithm evaluation method.
A kind of ABS algorithm evaluation method and device provided in an embodiment of the present invention, in scheme, for ABS algorithm to be assessed,
The broadcasting experience data from multiple client is obtained, playing experience data is client according to target bit rate progress video playing
When broadcasting experience data, target bit rate is to be determined using ABS algorithm to be assessed based on the video playing parameter from client
Code rate, video playing parameter is client according to video playing when carrying out video playing using the code rate before target bit rate
Parameter plays the result of broadcast of experience data representing video, and number is experienced in the broadcasting from multiple client based on acquisition
According to index is experienced in the broadcasting for calculating ABS algorithm to be assessed, and will be played experience index and compared with scale index, is obtained
The assessment result of ABS algorithm to be assessed, wherein scale index is calculated when carrying out video playing according to default code rate
Experience index is played, ABS algorithm is provided by server for client, when needing to assess ABS algorithm, can pass through
ABS algorithm to be assessed is distributed to the client of current request ABS algorithm service, is calculated so as to obtain ABS to be assessed in real time
The broadcasting experience data of method reduces the time of updating client in the prior art, also, according to assessment result, when needs pair
It when ABS algorithm to be assessed is adjusted, does not need to upgrade client yet, ABS to be assessed can be calculated in the server
Method is adjusted, and reduces the time cycle of assessment and the adjustment of ABS algorithm.
Certainly, implement any of the products of the present invention or method it is not absolutely required at the same reach all the above excellent
Point.
Detailed description of the invention
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 technical description to be briefly described.
Fig. 1 is the flow chart of ABS algorithm evaluation method provided by one embodiment of the present invention；
Fig. 2 is the flow chart that the code rate provided by one embodiment of the present invention applied to client determines method；
Fig. 3 is the flow chart that the code rate provided by one embodiment of the present invention applied to server determines method；
Fig. 4 is the structural schematic diagram of ABS algorithm evaluation device provided by one embodiment of the present invention；
Fig. 5 is the structural schematic diagram of ABS algorithm evaluation system provided by one embodiment of the present invention；
Fig. 6 is the structural schematic diagram of electronic equipment provided in an embodiment of the present invention；
Fig. 7 provides the schematic diagram that a kind of code rate determines principle for the embodiment of the present invention.
Specific embodiment
In order to provide the implementation for the time cycle for shortening ABS algorithm evaluation and adjustment, the embodiment of the invention provides
A kind of ABS algorithm evaluation method and device is illustrated the embodiment of the present invention below in conjunction with Figure of description.And not
In the case where conflict, the features in the embodiments and the embodiments of the present application be can be combined with each other.
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description.
In one embodiment of the invention, a kind of ABS algorithm evaluation method is provided, as shown in Figure 1, this method include with
Lower step:
S101: being directed to ABS algorithm to be assessed, obtains the broadcasting experience data from multiple client, plays experience data
Broadcasting experience data when for client according to target bit rate progress video playing, target bit rate is based on the view from client
Frequency play parameter, using ABS algorithm to be assessed determine code rate, video playing parameter be client according to using target bit rate it
Preceding code rate carries out video playing parameter when video playing, plays the result of broadcast of experience data representing video.
In this step, executing subject can be server, in order to constantly optimize to ABS algorithm, improve ABS
The algorithm effect of algorithm needs the algorithm effect to ABS algorithm to assess, available to come from for ABS algorithm to be assessed
The broadcasting experience data of multiple client, in one embodiment, for the ease of determining the corresponding client of each ABS algorithm
End can first establish connection with the client in predeterminable area, obtain broadcasting experience data and algorithm that every client is sent
Mark can first determine the algorithm mark of corresponding ABS algorithm to be evaluated, determine which client is for ABS algorithm to be evaluated
Client corresponding with ABS algorithm to be assessed.
In one embodiment, above-mentioned broadcasting experience data can be broadcast for each client according to target bit rate progress video
Broadcasting experience data when putting, wherein target bit rate is to be calculated based on the video playing parameter from client using ABS to be assessed
The code rate that method determines, video playing parameter are view when client carries out video playing according to the code rate used before target bit rate
Frequency play parameter plays the result of broadcast of experience data representing video.
In one embodiment, multiple client can be the identical client of preset attribute, such as multiple client is
Possess the client of same operating system, for example, multiple client is to possess the client of Android operation system, or can also be
The client of service is provided using consolidated network service provider in areal.
S102: the broadcasting experience data from multiple client based on acquisition calculates the playing body of ABS algorithm to be assessed
Test index.
In this step, ABS algorithm to be assessed can be calculated based on the broadcasting experience data from multiple client of acquisition
Broadcasting experience index, assessed to more comprehensively treat assessment algorithm, in one embodiment, play experience data
It can be the acquisition in preset time, and playing experience data may include code rate and Caton number, corresponding playing body
Testing index may include: articulation index and fluency index, in one embodiment the articulation index of ABS algorithm to be assessed
It can be and be added the code rate in the broadcasting experience data from multiple client, the fluency of ABS algorithm to be assessed
Index, which can be, is added the Caton number in the broadcasting experience data from multiple client.For example, step S101
The broadcasting experience data of two clients, specially client 1 and client 2 are acquired, for client 1: code rate 1=
1Mbit/s, Caton number 1=2；For client 2: code rate 1=2Mbit/s, Caton number 1=5.It is so to be assessed for this
For ABS algorithm, articulation index=1Mbit/s+2Mbit/s=3Mbit/s can be unified single in one embodiment
Position, so as to omit unit, i.e. articulation index=1+2=3, fluency index=2+5=7.
S103: will play experience index and compare with scale index, obtain the assessment result of ABS algorithm to be assessed,
In, scale index experiences index for the broadcasting being calculated when carrying out video playing according to default code rate.
In this step, it can will play experience index and be compared with scale index, obtain the assessment of ABS algorithm to be assessed
As a result, in one embodiment, the broadcasting that scale index is calculated when can be for according to default code rate progress video playing
Experience index.Scale index includes: clear anale settting scale index and smooth anale settting scale index in one embodiment, wherein clear
The articulation index being calculated when anale settting scale index is according to default code rate progress video playing, smooth anale settting scale index are
The fluency index being calculated when carrying out video playing according to default code rate.
In order to comprehensively and accurately assess ABS algorithm to be assessed, default code rate may include multiple code rates,
In one embodiment, default code rate may include original code rate, maximal rate and the minimum code rate of played video, this field
Technical staff it is understood that for any one ABS algorithm, determine that code rate carries out video by the ABS algorithm
Clarity when broadcasting should not exceed maximal rate, and no less than minimum code rate, and fluency is no less than maximal rate, and not
It should be greater than minimum code rate.Based on this, whether minimum code rate can be in by judging the articulation index of ABS algorithm to be assessed
Between clear anale settting scale index and the clear anale settting scale index of maximal rate and the fluency index of ABS algorithm to be assessed is
Method between the smooth anale settting scale index of no smooth anale settting scale index and maximal rate in minimum code rate is to be evaluated to judge
The reasonability of ABS algorithm is estimated, in one embodiment, when the articulation index of ABS algorithm to be assessed is in the clear of minimum code rate
Between clear anale settting scale index and the clear anale settting scale index of maximal rate, and the fluency index of ABS algorithm to be assessed is also at
Between the smooth anale settting scale index of minimum code rate and the smooth anale settting scale index of maximal rate, then it can determine that ABS to be assessed is calculated
Method is reasonable ABS algorithm, when the articulation index of ABS algorithm to be assessed be not on the clear anale settting scale index of minimum code rate with
Between the clear anale settting scale index of maximal rate or the fluency index of ABS algorithm to be assessed is not on the stream of minimum code rate
Between smooth anale settting scale index and the smooth anale settting scale index of maximal rate, then it may determine that ABS algorithm to be assessed is unreasonable ABS
Algorithm.
In order to further assess reasonable ABS algorithm, in one embodiment, playing experience index can also be wrapped
Comprehensive evaluation index is included, wherein the comprehensive evaluation index of ABS algorithm to be assessed is the articulation index and stream of ABS algorithm to be assessed
Smooth degree index calculates what the weighted sum of articulation index and fluency index obtained, in one embodiment according to respective weight
In, it can also include the weighting of other parameters.Corresponding scale index can also include overall merit scale index, wherein comprehensive
Close the evaluation clear anale settting scale index of scale index and smooth anale settting scale index be weighted to sum and obtain, judge it is to be assessed
ABS algorithm be reasonable ABS algorithm on the basis of, can continue to judge whether the comprehensive evaluation index of ABS algorithm to be assessed is greater than
The overall merit scale index of original code rate, if so, determining that ABS algorithm to be assessed is qualification ABS algorithm.If ABS to be assessed
Whether the comprehensive evaluation index of algorithm is not more than the overall merit scale index of original code rate, then may determine that ABS to be assessed is calculated
Method is unqualified ABS algorithm, it may be necessary to further progress adjustment.
In one embodiment, it compares, determines in multiple ABS algorithms, algorithm effect is optimal there are also multiple ABS algorithms
ABS algorithm, for example, can will the true corresponding comprehensive evaluation index of each ABS algorithm, it is corresponding comprehensive to compare each ABS algorithm
Evaluation index is closed, ranking is carried out to corresponding multiple ABS algorithms from big to small according to comprehensive evaluation index, comprehensive evaluation index is got over
Height, corresponding ranking is higher, and the algorithm effect for representing corresponding ABS algorithm is best.
In above-mentioned ABS algorithm evaluation method shown in FIG. 1 provided in an embodiment of the present invention, it can be calculated for ABS to be assessed
Method obtains the broadcasting experience data from multiple client, and playing experience data is client according to target bit rate progress video
Broadcasting experience data when broadcasting, target bit rate are based on the video playing parameter from client, using ABS algorithm to be assessed
Determining code rate, video playing parameter are video when client carries out video playing according to the code rate used before target bit rate
Play parameter plays the result of broadcast of experience data representing video, and the playing body from multiple client based on acquisition
Data are tested, the broadcasting experience index of ABS algorithm to be assessed is calculated, and experience index will be played and compared with scale index,
Obtain the assessment result of ABS algorithm to be assessed, wherein calculated when scale index is carries out video playing according to default code rate
The broadcasting experience index arrived.ABS algorithm service is provided for client by server, when needing to assess ABS algorithm,
The broadcasting experience data of estimation algorithm to be evaluated can be obtained in real time, to guarantee that assessment result there is no delay, guarantees its timeliness
Property.
In one embodiment of the invention, a kind of code rate applied to client is also provided and determines method, such as Fig. 2 institute
Show, method includes the following steps:
S201: video playing parameter when carrying out video playing according to current code rate is collected.
In this step, video playing parameter when carrying out video playing according to current code rate can be collected, is implemented at one
In example, current code rate can be the original code rate for playing out video, be also possible to the default code rate of client setting, can be with
It is the preceding video playing code rate once determined according to ABS algorithm, in one embodiment, video playing parameter may include client
End plays following parameter when video: speed of download or the current amount of bandwidth of client, size, the client of video cache are worked as
The parameters such as the preceding code rate for playing video and the fragment size for playing video, in one embodiment, video playing parameter may be used also
To include the hardware information and identification information of client.
In one embodiment, client can periodically collect above-mentioned video playing parameter according to cycle time,
It can be and broadcast in the video for starting to collect when current code rate carries out video playing after receiving the instruction for collecting video playing parameter
Parameter is put, in one embodiment, the life instruction for starting to collect video playing parameter can be the triggering letter that other equipment are sent
Breath, can also be the triggering information by user's control, in one embodiment, when receiving the trigger action for opening ABS service,
Client starts to collect video playing parameter when current code rate carries out video playing, and wherein trigger action can be preset each
The information of seed type, such as: it can be the double click operation of preset unlatching ABS service, be also possible to preset key, mouse point
The input information for hitting equal external hardwares can also be preset and open the related bio-identification signal of ABS service, for example, referring to
Line signal, face recognition signal, limb action signal etc..
S202: video playing parameter is sent to server.
In this step, client can send the video playing parameter collected by step S201 to server, send
Mode can be multiplicity, and in one embodiment, client can establish connection by websock and server, and send
The video playing parameter of collection.
In one embodiment, video playing parameter can be the amount of bandwidth of client, for example, bandwidth is 2Mbit/s,
Bandwidth=2Mbit/s of server is then sent to server as video playing parameter.
Correspondingly, server can be an ABS of client distribution after the video playing parameter for receiving client transmission
Algorithm is based on video playing parameter, determines the code rate that client needs to use, and server meeting by the ABS algorithm of distribution
The target bit rate that client determines can be replied, particular technique details is subsequent to be will be described in detail, and is not being repeated again.
S203: receiving the target bit rate that server is sent, and target bit rate is to be adopted as client based on video playing parameter
The client that the ABS algorithm of distribution determines needs the code rate used.
In this step, the target bit rate of server transmission can receive, in one embodiment, target bit rate can be base
In video playing parameter, it is adopted as the code rate that the client that the ABS algorithm that client is distributed determines needs to use, is implemented at one
In example, when video playing parameter is the amount of bandwidth of client, such as client bandwidth=2Mbit/s, pass through server point
The ABS algorithm matched determines that client needs the target bit rate used for 1Mbit/s, and target bit rate is sent to client by server
End, the target bit rate that client receives are 1Mbit/s.In one embodiment, in the target bit rate for receiving server transmission
While, the algorithm that can also receive the ABS algorithm of server transmission distributed by server identifies.
S204: according to received target bit rate, video playing is carried out.
In this step, the target bit rate that can be sent according to the server received carries out video playing, implements at one
Example in, when target bit rate be 1Mbit/s when, client can according to 1Mbit/s speed from provide Video service server
The video that middle downloading needs to play, and play out.
S205: collecting broadcasting experience data when carrying out video playing according to target bit rate, plays experience tables of data and shows view
The result of broadcast of frequency.
In this step, during client carries out video playing according to target bit rate, client can collect progress
Broadcasting experience data when video playing, wherein the result of broadcast of video tastes data representing video, those skilled in the art can
With understanding, the result of broadcast of a video can play from the aspect of clarity and fluency two, in one embodiment
Experience data can be the Caton number that client occurs during carrying out video playing according to target bit rate in preset time,
Or Caton duration, it can also be the target bit rate during client carries out video playing according to target bit rate.In a reality
It applies in example, it also may include related with clarity that playing experience data, which both may include Caton number related with fluency,
Target bit rate, in one embodiment, playing experience data can also be cache size other parameters etc..
S206: experience data will be played and be sent to server, play experience data for assessing ABS algorithm.
In this step, client can send the broadcasting experience data collected by step S205 to server, send
Mode can be multiplicity, and in one embodiment, client can establish connection by websock and server, and send
The broadcasting experience data of collection.Wherein, the broadcasting experience data that client is sent can be used for assessing ABS algorithm.
Above-mentioned code rate as shown in Figure 2 provided in an embodiment of the present invention determines in method, by collecting according to current code rate
Video playing parameter when video playing is carried out, and video playing parameter is sent to server, and receive server hair
The target bit rate sent, target bit rate are the client for being adopted as the ABS algorithm of client distribution based on video playing parameter and determining
The code rate for needing to use, and according to received target bit rate, video playing is carried out, and collect and regarded according to target bit rate
Broadcasting experience data when frequency plays plays the result of broadcast of experience data representing video, and will play experience data and send
To server, experience data is played for assessing ABS algorithm, since client is by the ABS algorithm in server
Determine target bit rate, when needing to be adjusted ABS algorithm, do not need to the ABS algorithm built in each player into
Row adjustment, it is only necessary to the ABS algorithm in server is adjusted, the time cycle of ABS algorithm adjustment is shortened.
In one embodiment of the invention, a kind of code rate applied to server is also provided and determines method, such as Fig. 3 institute
Show, method includes the following steps:
S301: receive client send video playing parameter, video playing parameter be client according to current code rate into
Video playing parameter when row video playing.
In this step, server can receive step S202 client transmission video playing parameter, wherein server and
Data transfer mode between client can be multiplicity, and in one embodiment, server can be received by websock
The video playing parameter that client is sent.In one embodiment, video playing parameter is that client is carried out according to current code rate
Video playing parameter when video playing, in one embodiment, current code rate can be the original code rate for playing out video,
It is also possible to the default code rate of client setting, can also be the preceding video playing code rate once determined according to ABS algorithm, one
In a embodiment, the following parameter for the collection that video playing parameter may include client when playing video according to current code rate:
Speed of download or the current amount of bandwidth of client, the code rate of the currently playing video of size, client of video cache and broadcast
The parameters such as the fragment size of video are put, in one embodiment, video playing parameter can also include the hardware information of client
And identification information.
In one embodiment, video playing parameter is that the amount of bandwidth of client then takes for example, bandwidth is 2Mbit/s
Business device receives the video playing parameter of client transmission are as follows: bandwidth=2Mbit/s.
S302: ABS algorithm is distributed for client.
In this step, may exist a variety of ABS algorithms, when server receives the video playing data of client transmission
Afterwards, a kind of ABS algorithm can be distributed for client is single-ended from a variety of ABS algorithms, it, can be according to preparatory in one embodiment
The ABS algorithmic dispatching strategy of setting distributes ABS algorithm for client, and wherein ABS algorithmic dispatching strategy can according to demand flexibly
Setting.
In one embodiment, can be according to the geographical location that client is presently in is that client distributes ABS algorithm,
ABS algorithm can also be distributed according to the bandwidth service Shang Laiwei client of active client, it can also be according to the equipment of client
Mark is to keep ABS algorithm company for client, and it should be appreciated by those skilled in the art when server is needed according to a certain letter
When breath is that client distributes ABS algorithm, then also meaning that, the video playing data of client transmission are received in server
In just comprising the information, for example, when the geographical location that server needs to be presently according to client is that client is distributed ABS and calculated
It just should include the client in the video playing data that server receives client transmission then also meaning that when method
End is presently in the information in geographical location.
In one embodiment, the ABS algorithm for client distribution can be is provided by special ABS algorithm service, this
When, server be client distribution ABS algorithm be equivalent to for client distribute ABS arithmetic server, in one embodiment,
In order to preferably realize the matching between client and ABS arithmetic server, in the server, it can store and calculated with a variety of ABS
The corresponding cryptographic Hash of method server, it will be understood by those of skill in the art that the cryptographic Hash of each ABS arithmetic server and should
It is that only one-to-one correspondence can determine corresponding when determining cryptographic Hash according to cryptographic Hash between kind ABS arithmetic server
ABS arithmetic server, in one embodiment, in order to guarantee to a certain extent each when evaluating ABS algorithm in the later period
Fairness between ABS algorithm can take when server is that client distributes ABS arithmetic server according to every kind of ABS algorithm
Be engaged in device provide ABS algorithm service number number, be determined as client distribution ABS arithmetic server.
S303: being based on video playing parameter, using the ABS algorithm of distribution, determines the code rate that client needs to use, as
Target bit rate.
In this step, it can be based on video playing parameter, using the ABS algorithm of distribution, determine what client needed to use
Code rate, as target bit rate, for each ABS algorithm, different video playing parameters, determining client needs are adopted
Code rate is not also identical.In one embodiment, when video playing parameter are as follows: bandwidth=2Mbit/s, it is true by ABS algorithm
Fixed client needs the code rate used are as follows: target bit rate=1Mbit/s.
S304: target bit rate is sent to client.
In this step, server can send target bit rate to client, wherein the data between server and client side
Transmission mode can be multiplicity, and in one embodiment, server can establish connection by websock and client, and
And the code rate sent by websock to client.For example, the code rate that target bit rate is 1Mbit/s is sent to client, one
In a embodiment, while sending target bit rate to client, the algorithm of the ABS algorithm of distribution can also be sent to client
Mark.
S305: receive client send broadcasting experience data, play experience data be client according to target bit rate into
Broadcasting experience data when row video playing, indicates the result of broadcast of video, for assessing ABS algorithm.
In this step, during client carries out video playing according to target bit rate, client can collect progress
Broadcasting experience data when video playing, wherein the result of broadcast of video tastes data representing video, those skilled in the art institute
To know, the result of broadcast of a video can go to consider in terms of clarity and fluency two, in one embodiment, playing body
Testing data can be the Caton number that client occurs during carrying out video playing according to target bit rate in preset time, or
Caton duration can also be the target bit rate during client carries out video playing according to target bit rate.Implement at one
In example, it also may include mesh related with clarity that playing experience data, which both may include Caton number related with fluency,
Coding rate, in one embodiment, playing experience data can also be cache size etc..In one embodiment, server can
To receive the broadcasting experience data that client is sent by websock.In one embodiment, server can be by receiving
The broadcasting experience data that client is sent, can assess ABS algorithm according to embodiment shown in FIG. 1.
Code rate shown in above-mentioned Fig. 3 provided in an embodiment of the present invention applied to server determines in method, by receiving visitor
The video playing parameter that family end is sent, video playing parameter are that video when client carries out video playing according to current code rate is broadcast
Parameter is put, and distributes ABS algorithm for client, and be based on video playing parameter, using the ABS algorithm of distribution, determines visitor
Family end needs the code rate used, sends target bit rate as target bit rate, and to client, and receive what client was sent
Experience data is played, playing experience data is broadcasting experience data when client carries out video playing according to target bit rate, table
The result of broadcast for showing video, for assessing ABS algorithm.It can be true for client by the ABS algorithm in server
Set the goal code rate, when needing to be adjusted ABS algorithm, does not need to carry out the ABS algorithm built in each player
Adjustment, it is only necessary to the ABS algorithm in server is adjusted, the time cycle of ABS algorithm adjustment is shortened.
In one embodiment, as shown in fig. 7, Fig. 7 is provided in an embodiment of the present invention above-mentioned as shown in Figure 2 is applied to
The code rate of client determines that method and the code rate applied to server as shown in Figure 3 determine the principle of method in practical applications
Schematic diagram, comprising: client, algorithm distribution server and algorithm evaluation server, in one embodiment, algorithm evaluation service
Device and algorithm distribution server can be the same server, realize that step includes: that client is collected according to the progress of current code rate
After video playing parameter when video playing, step 701 is executed: sending video playing parameter；Algorithm distribution server can be
It is client distribution ABS algorithm according to preset allocation strategy after the video playing parameter for receiving client transmission, and
The code rate that client needs to use is determined using the ABS algorithm of distribution based on video playing parameter, after target bit rate,
Step 702 is executed, the target ABS algorithm distributed according to preset allocation strategy is sent；Client is distributed in receiving algorithm and is serviced
After the target bit rate that device is sent, video playing can be carried out, collects carried out according to target bit rate at the same time according to target bit rate
Broadcasting experience data when video playing, and step 703 is executed, it sends and plays experience data；Algorithm evaluation server is receiving
It, can be in conjunction with the broadcasting experience data and other clients hair that the client is sent after the broadcasting experience data that client is sent
The broadcasting experience data sent, assesses ABS algorithm, according to assessment result, can execute step to algorithm distribution server
704, adjust ABS algorithm.It will be appreciated by those skilled in the art that adjustment ABS algorithm in the embodiment of the present invention can be with
It is to be adjusted according to preset adjustment logic, is also possible to technical staff according to assessment result in algorithm distribution server
Each ABS algorithm is adjusted, and above-mentioned adjustment may include: the operation such as deletion, improvement, replacement.
Based on the same inventive concept, the ABS algorithm evaluation method provided according to embodiments of the present invention, the embodiment of the present invention is also
A kind of ABS algorithm evaluation device is provided, as shown in figure 4, the device includes:
Data acquisition module 401 obtains the broadcasting from multiple client and experiences number for being directed to ABS algorithm to be assessed
According to playing experience data is broadcasting experience data when client carries out video playing according to target bit rate, and target bit rate is base
In the video playing parameter from client, the code rate determined using ABS algorithm to be assessed, video playing parameter is pressed for client
Video playing parameter when video playing is carried out according to the code rate used before target bit rate, plays broadcasting for experience data representing video
Put effect；
Index computing module 402 calculates to be assessed for the broadcasting experience data from multiple client based on acquisition
Index is experienced in the broadcasting of ABS algorithm；
Index contrast module 403 compares with scale index for that will play experience index, obtains ABS to be assessed and calculate
The assessment result of method, wherein scale index refers to for the broadcasting experience being calculated when carrying out video playing according to default code rate
Mark.
Further, play experience data packet and include code rate and Caton number, play experience index include: articulation index and
Fluency index；
Index computing module 402 is obtained specifically for that will be added from the code rate in the broadcasting experience data of multiple client
To the articulation index of ABS algorithm to be assessed, and by the Caton number phase in the broadcasting experience data from multiple client
Add, obtains the fluency index of ABS algorithm to be assessed.
Further, scale index includes: clear anale settting scale index and smooth anale settting scale index, wherein clear anale settting scale
Index is the articulation index being calculated when carrying out video playing according to default code rate, and smooth anale settting scale index is according to pre-
If code rate carries out the fluency index being calculated when video playing；Default code rate includes the source code of played video
Rate, maximal rate and minimum code rate；
Index contrast module 403, specifically for judging whether the articulation index of ABS algorithm to be assessed is in minimum code rate
Clear anale settting scale index and maximal rate clear anale settting scale index between and ABS algorithm to be assessed fluency index
Whether between the smooth anale settting scale index in minimum code rate and the smooth anale settting scale index of maximal rate, and if being,
Determine that ABS algorithm to be assessed is reasonable ABS algorithm.
Further, experience index is played further include: comprehensive evaluation index；Scale index further include: overall merit scale
Index, wherein the clear anale settting scale index of overall merit scale index and smooth anale settting scale index are weighted summation and obtain；
Index contrast module 403, specifically for according to the articulation index and fluency index of ABS algorithm to be assessed respectively
Weight, the articulation index of ABS algorithm to be assessed and the weighted sum of fluency index are calculated, as ABS algorithm to be assessed
Comprehensive evaluation index, and when ABS algorithm to be assessed is reasonable ABS algorithm, judge that the overall merit of ABS algorithm to be assessed refers to
Whether mark is greater than the overall merit scale index of original code rate, and if so, determines that ABS algorithm to be assessed is qualification ABS algorithm.
Based on the same inventive concept, the code rate applied to client as shown in Figure 2 provided according to embodiments of the present invention
Determine that method and the code rate applied to server as shown in Figure 3 determine method, the embodiment of the invention also provides a kind of ABS calculations
Method assessment system, as shown in figure 5, the system includes: client 501, server 502；
Client 501 carries out video playing parameter when video playing for collecting according to current code rate, and by video
Play parameter is sent to server；
Server 502, for receiving the video playing parameter of client transmission, and according to preset allocation strategy, for visitor
ABS algorithm is distributed at family end, and is based on video playing parameter, using the ABS algorithm of distribution, determines the code that client needs to use
Rate sends target bit rate as target bit rate, and to client；
Client 501 is also used to receive the target bit rate of server transmission, and according to received target bit rate, carries out
Video playing, and broadcasting experience data when carrying out video playing according to target bit rate is collected, it plays experience tables of data and shows view
The result of broadcast of frequency, and server is sent to by experience data is played；
Server 502 is also used to receive the broadcasting experience data of client transmission, and according to broadcasting experience data, right
ABS algorithm is assessed.
The embodiment of the invention also provides a kind of electronic equipment, as shown in fig. 6, including processor 601, machine readable storage
Medium 602, wherein machine readable storage medium 602 stores the machine-executable instruction that can be executed by processor 601.
Machine readable storage medium 602, for storing machine-executable instruction；
Processor 601 is realized such as executing the machine-executable instruction stored on machine readable storage medium 602
Lower step:
For ABS algorithm to be assessed, the broadcasting experience data from multiple client is obtained, the broadcasting experience data is
The client carries out broadcasting experience data when video playing according to target bit rate, and the target bit rate is based on from described
The video playing parameter of client, the code rate determined using the ABS algorithm to be assessed, the video playing parameter are the visitor
Family end carries out video playing parameter when video playing according to the code rate used before the target bit rate, and number is experienced in the broadcasting
According to the result of broadcast for indicating video；
The broadcasting experience data from the multiple client based on acquisition calculates the ABS algorithm to be assessed
Broadcasting experience index；
Broadcasting experience index is compared with scale index, obtains the assessment result of the ABS algorithm to be assessed,
Wherein, the scale index experiences index for the broadcasting being calculated when carrying out video playing according to default code rate.
Above-mentioned processor can be general processor, including central processing unit (Central Processing Unit,
CPU), network processing unit (Network Processor, NP) etc.；It can also be digital signal processor (Digital Signal
Processing, DSP), it is specific integrated circuit (Application Specific Integrated Circuit, ASIC), existing
It is field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete
Door or transistor logic, discrete hardware components.
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 computer program in storage medium, the computer program realizes any of the above-described ABS algorithm when being executed by processor
The step of appraisal procedure.
In another embodiment provided by the invention, a kind of computer program product comprising instruction is additionally provided, when it
When running on computers, so that computer executes any ABS algorithm evaluation method in above-described embodiment.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or any combination thereof 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 process or function described in the embodiment of the present invention.The computer can be general purpose computer, dedicated meter
Calculation machine, computer network or other programmable devices.The computer instruction can store 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 hard disk
Solid State Disk (SSD)) etc..
It should be noted that, in this document, 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 including 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, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for device,
For system, electronic equipment, computer readable storage medium, computer program product, implement since it is substantially similar to method
Example, so being described relatively simple, the relevent part can refer to the partial explaination of embodiments of method.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all
Any modification, equivalent replacement, improvement and so within the spirit and principles in the present invention, are all contained in protection scope of the present invention
It is interior.
Claims (10)
1. a kind of ABS algorithm evaluation method characterized by comprising
For ABS algorithm to be assessed, the broadcasting experience data from multiple client is obtained, the broadcasting experience data is described
Client carries out broadcasting experience data when video playing according to target bit rate, and the target bit rate is based on from the client
The video playing parameter at end, the code rate determined using the ABS algorithm to be assessed, the video playing parameter are the client
Video playing parameter when video playing is carried out according to the code rate used before the target bit rate, tables of data is experienced in the broadcasting
Show the result of broadcast of video；
The broadcasting experience data from the multiple client based on acquisition calculates broadcasting for the ABS algorithm to be assessed
Put experience index；
Broadcasting experience index is compared with scale index, obtains the assessment result of the ABS algorithm to be assessed,
In, the scale index experiences index for the broadcasting being calculated when carrying out video playing according to default code rate.
2. the method according to claim 1, wherein the broadcasting experience data packet include code rate and Caton number,
The broadcasting experience index includes: articulation index and fluency index；
The broadcasting experience data from the multiple client based on acquisition calculates the ABS algorithm to be assessed
Broadcasting experience index, comprising:
Code rate in the broadcasting experience data from the multiple client is added, the ABS algorithm to be assessed is obtained
Articulation index；
Caton number in the broadcasting experience data from the multiple client is added, the ABS to be assessed is obtained
The fluency index of algorithm.
3. according to the method described in claim 2, it is characterized in that, the scale index includes: clear anale settting scale index and stream
Smooth anale settting scale index, wherein the clear anale settting scale index is calculated when carrying out video playing according to default code rate
Articulation index, the smoothness anale settting scale index refer to for the fluency being calculated when carrying out video playing according to default code rate
Mark；
The default code rate includes original code rate, maximal rate and the minimum code rate of played video；
It is described to compare broadcasting experience index with scale index, the assessment result of the ABS algorithm to be assessed is obtained,
Include:
Judge whether the articulation index of the ABS algorithm to be assessed is in the clear anale settting scale index and maximum code of minimum code rate
Between the clear anale settting scale index of rate and whether the fluency index of the ABS algorithm to be assessed is in the stream of minimum code rate
Between smooth anale settting scale index and the smooth anale settting scale index of maximal rate；
If being, determine that the ABS algorithm to be assessed is reasonable ABS algorithm.
4. according to the method described in claim 3, it is characterized in that, index is experienced in the broadcasting further include: comprehensive evaluation index；
The scale index further include: overall merit scale index, wherein the overall merit scale index is the clarity
Scale index and the smooth anale settting scale index are weighted what summation obtained；
The method also includes:
According to the articulation index and the respective weight of fluency index of the ABS algorithm to be assessed, the ABS to be assessed is calculated
The articulation index of algorithm and the weighted sum of fluency index, the comprehensive evaluation index as the ABS algorithm to be assessed；
When the ABS algorithm to be assessed is reasonable ABS algorithm, judge that the comprehensive evaluation index of the ABS algorithm to be assessed is
The no overall merit scale index greater than the original code rate；
If so, determining that the ABS algorithm to be assessed is qualification ABS algorithm.
5. a kind of ABS algorithm evaluation device characterized by comprising
Data acquisition module, for being directed to ABS algorithm to be assessed, broadcasting experience data of the acquisition from multiple client is described
Playing experience data is the broadcasting experience data when client carries out video playing according to target bit rate, the target bit rate
For based on the video playing parameter from the client, the code rate determined using the ABS algorithm to be assessed, the video is broadcast
Putting parameter is the video playing parameter when client carries out video playing according to the code rate used before the target bit rate,
The result of broadcast for playing experience data representing video；
Index computing module, for the broadcasting experience data from the multiple client based on acquisition, described in calculating
Index is experienced in the broadcasting of ABS algorithm to be assessed；
Index contrast module obtains the ABS to be assessed and calculates for comparing broadcasting experience index with scale index
The assessment result of method, wherein the playing body being calculated when the scale index is according to default code rate progress video playing
Test index.
6. device according to claim 5, which is characterized in that the broadcasting experience data packet includes code rate and Caton number,
The broadcasting experience index includes: articulation index and fluency index；
The index computing module, specifically for will be from the code rate phase in the broadcasting experience data of the multiple client
Add, obtains the articulation index of the ABS algorithm to be assessed, and number is experienced into the broadcasting from the multiple client
Caton number in is added, and obtains the fluency index of the ABS algorithm to be assessed.
7. device according to claim 6, which is characterized in that the scale index includes: clear anale settting scale index and stream
Smooth anale settting scale index, wherein the clear anale settting scale index is calculated when carrying out video playing according to default code rate
Articulation index, the smoothness anale settting scale index refer to for the fluency being calculated when carrying out video playing according to default code rate
Mark；The default code rate includes original code rate, maximal rate and the minimum code rate of played video；
The index contrast module, specifically for judging whether the articulation index of the ABS algorithm to be assessed is in minimum code
Between the clear anale settting scale index of rate and the clear anale settting scale index of maximal rate and the smoothness of the ABS algorithm to be assessed
Whether degree index is between the smooth anale settting scale index of minimum code rate and the smooth anale settting scale index of maximal rate, and if
It is to determine that the ABS algorithm to be assessed is reasonable ABS algorithm.
8. device according to claim 7, which is characterized in that index is experienced in the broadcasting further include: comprehensive evaluation index；
The scale index further include: overall merit scale index, wherein the overall merit scale index is the clear anale settting scale
Index and the smooth anale settting scale index are weighted what summation obtained；
The index contrast module, specifically for each according to the articulation index and fluency index of the ABS algorithm to be assessed
From weight, the articulation index of the ABS algorithm to be assessed and the weighted sum of fluency index are calculated, as described to be assessed
The comprehensive evaluation index of ABS algorithm, and when the ABS algorithm to be assessed is reasonable ABS algorithm, judge described to be assessed
Whether the comprehensive evaluation index of ABS algorithm is greater than the overall merit scale index of the original code rate, and if so, described in determining
ABS algorithm to be assessed is qualification ABS algorithm.
9. a kind of ABS algorithm evaluation system characterized by comprising client, server；
The client carries out video playing parameter when video playing for collecting according to current code rate, and by the view
Frequency play parameter is sent to the server；
The server, the video playing parameter sent for receiving the client, and according to preset allocation strategy,
ABS algorithm is distributed for the client, and institute is determined using the ABS algorithm of distribution based on the video playing parameter
The code rate that client needs to use is stated, sends the target bit rate as target bit rate, and to the client；
The client is also used to receive the target bit rate that the server is sent, and according to the received target
Code rate carries out video playing, and collects broadcasting experience data when carrying out video playing according to the target bit rate, described to broadcast
Putting experience data indicates the result of broadcast of video, and the broadcasting experience data is sent to the server；
The server is also used to receive the broadcasting experience data that the client is sent, and according to the playing body
Data are tested, the ABS algorithm is assessed.
10. a kind of electronic equipment, which is characterized in that including processor and machine readable storage medium, the machine readable storage
Media storage has the machine-executable instruction that can be executed by the processor, and the processor is by the machine-executable instruction
Promote: realizing any method and step of claim 1-4.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112468807A (en) * | 2020-11-16 | 2021-03-09 | 北京达佳互联信息技术有限公司 | Method and device for determining coding type |
| CN113014969A (en) * | 2019-12-19 | 2021-06-22 | 华为技术有限公司 | Video playing control method, terminal device, server and storage medium |
| CN114760506A (en) * | 2022-04-11 | 2022-07-15 | 北京字跳网络技术有限公司 | Video transcoding evaluation method, device, equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102111381A (en) * | 2009-12-24 | 2011-06-29 | 中国移动通信集团公司 | Streaming media code rate dynamic adjustment method, terminal and streaming media server |
| US20150156656A1 (en) * | 2012-12-13 | 2015-06-04 | At&T Intellectual Property I, Lp | Method and apparatus for mitigating interference in a wireless communication system |
| CN106547504A (en) * | 2015-09-21 | 2017-03-29 | 腾讯科技（深圳）有限公司 | Fluency appraisal procedure and device |
| CN107071399A (en) * | 2017-04-26 | 2017-08-18 | 华为技术有限公司 | The method for evaluating quality and device of a kind of encrypted video stream |
| CN107105224A (en) * | 2017-03-24 | 2017-08-29 | 深圳信息职业技术学院 | Method, device and system that a kind of quality of experience of video is assessed |
-
2019
- 2019-04-12 CN CN201910292894.9A patent/CN110113642B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102111381A (en) * | 2009-12-24 | 2011-06-29 | 中国移动通信集团公司 | Streaming media code rate dynamic adjustment method, terminal and streaming media server |
| US20150156656A1 (en) * | 2012-12-13 | 2015-06-04 | At&T Intellectual Property I, Lp | Method and apparatus for mitigating interference in a wireless communication system |
| CN106547504A (en) * | 2015-09-21 | 2017-03-29 | 腾讯科技（深圳）有限公司 | Fluency appraisal procedure and device |
| CN107105224A (en) * | 2017-03-24 | 2017-08-29 | 深圳信息职业技术学院 | Method, device and system that a kind of quality of experience of video is assessed |
| CN107071399A (en) * | 2017-04-26 | 2017-08-18 | 华为技术有限公司 | The method for evaluating quality and device of a kind of encrypted video stream |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113014969A (en) * | 2019-12-19 | 2021-06-22 | 华为技术有限公司 | Video playing control method, terminal device, server and storage medium |
| WO2021120892A1 (en) * | 2019-12-19 | 2021-06-24 | 华为技术有限公司 | Method for controlling video playback, terminal device, server, and storage medium |
| CN113014969B (en) * | 2019-12-19 | 2022-06-07 | 花瓣云科技有限公司 | Video playing control method, terminal device, server and storage medium |
| US11930232B2 (en) | 2019-12-19 | 2024-03-12 | Petal Cloud Technology Co., Ltd. | Video playing control method, terminal device, server, and storage medium |
| CN112468807A (en) * | 2020-11-16 | 2021-03-09 | 北京达佳互联信息技术有限公司 | Method and device for determining coding type |
| CN114760506A (en) * | 2022-04-11 | 2022-07-15 | 北京字跳网络技术有限公司 | Video transcoding evaluation method, device, equipment and storage medium |
| CN114760506B (en) * | 2022-04-11 | 2024-02-09 | 北京字跳网络技术有限公司 | Video transcoding evaluation method, device, equipment and storage medium |
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