CN107231552A - A kind of mass monitoring system towards ultra high-definition video request program - Google Patents
A kind of mass monitoring system towards ultra high-definition video request program Download PDFInfo
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- CN107231552A CN107231552A CN201710319627.7A CN201710319627A CN107231552A CN 107231552 A CN107231552 A CN 107231552A CN 201710319627 A CN201710319627 A CN 201710319627A CN 107231552 A CN107231552 A CN 107231552A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/004—Diagnosis, testing or measuring for television systems or their details for digital television systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
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- 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
- H04N21/47—End-user applications
- H04N21/472—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content
- H04N21/47202—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content for requesting content on demand, e.g. video on demand
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- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
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Abstract
The invention belongs to ultra high-definition video technique field, specially a kind of mass monitoring system towards ultra high-definition video request program.Present system is made up of network layer function, application level function module, presentation layer module and big data module；Wherein network layer function is used to be acquired video stream data and analyze accordingly, obtains corresponding index；Application level function module is to be used to analyze video information in itself and video transmission quality from user perspective in application layer, and degree of injury of the encoding and decoding to video is reflected by measuring Y-PSNR/structural similarity.Ultra high-definition video is distributed by streaming media server, after client carries out ultra high-definition video request program, probe on transmission route carries out the quality-monitoring of Internet and application layer to video respectively, and shown in real time on backstage by Web server, while off-line analysis can be carried out to the data of transmission of video by big data platform.By the present invention, the transmission quality situation of currently playing video can be understood in real time in on-demand process.
Description
Technical field
The invention belongs to ultra high-definition video technique field, and in particular to a kind of quality-monitoring towards ultra high-definition video request program
System.
Background technology
The development of digitizing technique accelerates the lifting of video resolution, the popularization from SD to high definition, then to ultra high-definition
The release of TV, shows the development trend in TV field.New coding techniques（Such as HEVC coding standards）And
The video of higher resolution（Ultra high-definition video）Appearance, Video service industry can be allowed to obtain bigger carry in service quality
Rise.And efficient video quality assessment technology is checked the quality for facilitating the operation management of demand (telecommunication) service for constantly lifting user's body
Amount has highly important meaning.
The appearance of ultra high-definition video, greatly meets high request of the people to video resolution, but must also expire simultaneously
The tightened up video quality evaluation system that foot is faced in playing process.Nowadays the assessment of video quality is according to whether by people
Participation can be divided into subjective quality assessment and objective quality assessment, and the former needs a number of subjective evaluation crowd to complete,
And the latter is then the quality by assessing the index in some video display process video quality.Therefore master will be passed through herein
Objective evaluation these two aspects builds ultra high-definition video quality assessment system, and the quality in video display process is monitored.
It wherein also will focus on and introduce network parameter QoE（User experience quality）Architectural framework is built, to measure TCP in network transmission communication
The video playback problems such as the parameters such as re-transmission, time delay, bandwidth, and blank screen, the interim card occurred in user terminal are wrapped, these factors are all
User experience will be influenceed.Existing video quality monitoring service is directed primarily to HD video with common SD video, and surpasses
HD video has relatively big difference in coding, decoding, and because the code stream of ultra high-definition video compares more greatly, this is to original
There is very big challenge for video quality monitoring method, therefore the present invention starts with the decoding to ultra high-definition video, recycles big
The method of data storage analysis is improved raising to whole video quality monitoring system.
The content of the invention
Based on problem above, it is an object of the invention to provide a kind of quality-monitoring system towards ultra high-definition video request program
System, to meet the demand that service provider and user perceive to service operation state and video quality.
The mass monitoring system towards ultra high-definition video request program that the present invention is provided, by network layer function, application layer
Functional module, presentation layer module and big data module composition, wherein：
The network layer function, measures functional module, http protocol by video streaming data packet handling module, TCP and parses mould
3 submodule compositions of block, for being acquired and analyzing accordingly to video stream data, obtain corresponding index, and be stored in number
Among storehouse, its data flow is as shown in Figure 1；Wherein packet handling module utilizes the work(of its Port Mirroring by interchanger
The crawl of packet can be carried out, its functional equivalent is copied in the packet for being up to destination address.Obtained number will be copied
It is incoming to TCP measurement functional modules according to wrapping；TCP measures functional module by after the packet copied, carries out corresponding agreement
Classification is handled, and its flow is as shown in Fig. 2 the video streaming data packet handling module of probe interior is according to the structure of procotol first
Ethernet stem is filtered out, and removes the IP layer stems of the packet, so as to determine whether whether the packet contains TCP
Message, the video on-demand system is transmitted based on Transmission Control Protocol, therefore can filter out TCP message according to the condition, so
Afterwards by the incoming http protocol parsing module of the TCP message filtered out, according to as shown in Figure 2, determined whether according to parsing be
No is HTTP request, if then handling request bag and response bag, extracts corresponding video source URL and http response
Code.If not HTTP request, then be tracked to the connection of whole service request, the sequence number, confirmation number from TCP are preserved, so
After complete subsequent treatment.Contrasted by the sequence number to each TCP and confirmation number, the re-transmission for obtaining current network is out of order
Rate.The response bag of streaming media server is obtained by sending ICMP request bags in TCP measures functional module, field is carried out and wins
Delay and the jitter conditions between link can be obtained afterwards, and by calculating client transmission request bag and receiving response
The time difference of bag obtains TCP setup time.Finally resulting index is stored in database.
The application level function module, is to be used in application layer to video information in itself and video transmission quality from user
Angle is analyzed, and reflects damage of the encoding and decoding to video by measuring PSNR (Y-PSNR)/SSIM (structural similarity)
Hinder degree.The degree that different PSNR values represent current video is different.With super unlike conventional video quality-monitoring
The coding of HD video has very big difference with the coding of ordinary video, so when to video data stream decoding, using
H.265 decoder is decoded, and in the present invention, H.265 decoder will be embedded into self-control player.It is main in the module
It is divided into information gathering and information analysis two parts.Information gathering part is decoded using ultra high-definition Video Decoder HEVC,
After video flowing is obtained, using decoder per at regular intervals to video progress section frame processing；Information analysis part utilizes institute
Frame of the frame of video with source video at the time obtained by interception is compared, and obtains degree of injury value；If the degree of injury
Value is larger（The present invention is typically, right by that will transmit decoded frame of video with being drawn after a large amount of comparative experiments of source video frame progress
When continuous two PSNR values are more than 27, represent that video impairment degree is larger）, then illustrate that video has showing for interim card at the time
As.Carry out outside above-mentioned objective evaluation, the quality of video is estimated by subjective aspect to video also, such as invite age phase
Imitative volunteer descends on request to video to be watched, and provides corresponding marking（1-5）, 5 represent video-see effect good, 1 generation
Table video-see effect is bad.By above-mentioned obtained application layer index（PSNR values, subjective assessment fraction）It is stored in database
In.
The presentation layer module, including Web server and database server, Web server pass through based on Python's
Django frameworks are built, by asynchronous transmission by each layer index Dynamic Announce in database on web interface, for carrying
For the displaying of interactive interface；Database server is stored the index of Internet and application layer.For sentencing for video quality
It is disconnected to represent the quality of current video quality there is provided corresponding numerical value threshold values.The part, we carry out artificial setting, logical
Cross prior viewing and experiment is compared, in above-mentioned application layer module, when continuous 2 PSNR value more than 27 interval scales works as forward sight
Frequency poor quality；When continuous 2 PSNR value is less than, 15 interval scale current video qualities are good, and remaining situation is video quality one
As.Because the memory capacity of database is limited, so after the storage for passing through a period of time, it is possible to use Hadoop big datas are put down
Platform, the data in database is imported after big data platform the off-line analysis for carrying out the later stage.
The big data module, including Hadoop big data platform clusters.The present invention carries out cluster using Hadoop2.7.3
Build, effective storage can be carried out to big file, the situation of database volume spilling is solved with this.It includes a name
Node（NameNode）That is central server node and several back end（DataNodes）.NameNode is used for managing whole
The NameSpace of individual file system, DataNode is responsible for storing and retrieving data block, and it is dispatched by client and Namenode.It is right
Exist under off-line state, utilizing the bandwidth in the out of order rate of analyzed network retransmission, network transmission, delay, shake, and combination
The PSNR values that application layer module is calculated are analyzed in the video quality situation of each user in certain time, analysis different time sections
Network bandwidth situation and user pass through the analysis under the line, Streaming Media administrative staff in the order video frequency situation of day part
Can be that operator proposes reliable opinion to make corresponding Management plan on this analysis foundation.Except pair mentioned above
The analysis of user's order video situation, using a large amount of network layer transport indexs and application layer PSNR values in big data platform come pre-
Survey the play quality situation of video in a short time, when prediction it is second-rate when, the output bandwidth of streaming media server can be increased
To alleviate the pressure of network transmission.
It is of the invention to be to what ultra high-definition VOD service state and its video quality were monitored in real time to be a set of
System.Its application will cover the Video service industry comprising video-on-demand service, monitor the video matter in its service process
Amount.
The present invention is to the collection of ultra high-definition video transmission stream, filtering and analysis and need not be to whole LAN or metropolitan area
Net is transformed, and only need to be by Port Mirroring it become convenient substantially that being monitored to video flow quality.With existing monitoring method
Compare, the present invention is in ultra high-definition video transmitting procedure, and the division of labor in its application layer and Internet is more clear and definite, and can profit
The off-line analysis of data is carried out with the function of big data platform.
Brief description of the drawings
Fig. 1 network layer function figures.
Fig. 2 network layer data Packet analyzing flow charts.
Fig. 3 application layer framework flow charts.
Fig. 4 application layers monitoring display figure.
Fig. 5 big data functional block diagrams.
The system block diagram of Fig. 6 present invention.
Embodiment
In order that technical scheme apparent can show, further is done to invention below in conjunction with the accompanying drawings
Explanation.
The invention provides a kind of system monitored to ultra high-definition video quality, the monitoring of ultra high-definition video quality is solved
Problem.The following modules for describing whole system respectively.
One streaming media server address is the sintel under 192.168.1.2 when client 192.168.1.5 program requests
During video, video flowing flows into network layer module first.The video quality monitoring of network layer module in transmission of video, with reference to Fig. 1 and
Fig. 2.Whole video on-demand system is based on Transmission Control Protocol, so the parsing mainly to Transmission Control Protocol and http protocol, draws
It is divided into video flowing TCP and retransmits out of order measurement submodule, bandwidth/delay jitter monitoring submodule, TCP setup times measurement submodule
Several submodules such as block, HTTP request submodule, http response submodule.Ultra high-definition video quality monitoring system receives task
Afterwards, Internet is intercepted by way of Port Mirroring to reaching that the packet of 192.168.1.5 addresses carries out capture, obtains video
The corresponding information of packet, such as source address are 192.168.1.2, and destination address is 192.168.1.5, and file is entitled
sintel；Then carry out retransmitting/the calculating of the index such as out of order rate, TCP setup times, delay, the out of order rate of re-transmission passes through to front and rear
Sequence number and confirmation number in TCP bags are compared to obtain the quantity for retransmitting out of order bag, and TCP setup times pass through HTTP request
Bag is obtained with the time difference of response bag, and the delay jitter of network is obtained by sending ICMP request bags.By setting
The execution cycle as defined in fixed carrys out equally spaced acquisition These parameters parameter, and index result then is carried out into database preservation, so as to
As web interface, the index to obtained by is shown.During displaying, represented currently not if being negative if re-transmission/out of order rate
There are new calculating data also among processing, do not there is new data generation also.The monitoring for carry out bandwidth, delay, shaking is not every
Second is carried out, and the present invention will located 4 seconds interval time, i.e., carried out one-time detection every 4 seconds.
When video flowing passes through application layer module, the video quality monitoring of application layer module in transmission of video, with reference to Fig. 3 and
Fig. 4.The video pictures that the application layer module of video quality monitoring is transmitted from graphics angle analysis video playback, using full reference
Video quality evaluation model（Need to be used as by former video and transmit decoded video quality situation with reference to evaluate）, it is right
The Pixel Information of the ultra high-definition video received carries out objective evaluation.The design of client layer module is characterized by from acquisition image
Fault parameter and characteristic point, picture quality is assessed with this.We need to preserve original video frame in the module, and using suitable
Image analysis algorithm PSNR/SSIM（Structural similarity）Video parameter is analyzed in real time Deng next, the present invention is used
PSNR algorithms.The major function of application layer module is as follows：
The detection of interim card failure can be carried out to the video received, judges whether video pictures interim card failure occur, and can
With reference to above-mentioned image detection result, objective evaluation is made to video quality.For example when continuous two data frames enter with former frame of video
It is respectively 32 and 35 that row PSNR, which compares obtained value after processing, then the video for illustrating now occur in that interim card, i.e. video quality compared with
The situation of difference.The module is comprised the following steps that：
（1）Selection HEVC decoders are decoded to video flowing when detection starts, incoming video frame.
（2）The detection of Caton phenomenon is carried out to the frame of video received, testing result is sent to subsequent video quality visitor
See evaluation module.
（3）In terms of video quality objective assessment, using PSNR/SSIM scheduling algorithms.
（4）Finally the result of evaluation and test is stored in into database, for calling for rear presentation layer module.
In Web browser presentation layer, Internet and data Layer are reflected by the dynamic more new change of form and broken line
The more new change of index.After start up with command-line options Web server, localhost is inputted in a browser:8080 can enter
Data display observation interface, the monitoring to different indexs, after corresponding button is pressed, data will be in real time in form
Or updated on line chart.
For the introduction of above-mentioned flow, Internet and application layer two are divided into the analysis of ultra high-definition video quality in the present invention
Aspect, Internet mainly for video in network transmission process, the monitoring to network performance index parameter, such as bandwidth, delay,
Shake, retransmission rate etc.；Application layer is then to hinder to be analyzed and processed by decoded video in client for video, to obtain
The information of video, such as code check, resolution ratio and PSNR values must be played.Between two analysis modules be not present interdepend with it is superfluous
It is remaining, when media data flow passes through network layer module and application layer module, the index analyzed after coming can be reached each respectively
Database table among so that two layers of effect is relatively sharp.
For the program request of a large number of users, the big data platform in the present invention is used for storing to be analyzed from Internet and application layer
The data file gone out, by building Hadoop clusters, utilizes HDFS（Distributed file system）To store the analyze data of magnanimity,
As shown in Figure 6.Because the code check of ultra high-definition video is big, packet is more, and HD video can be also more than by analyzing the data volume come
With other ordinary videos, simple database purchase can not store prolonged data, it is possible to by a period of time
Data file is transferred to big data platform, when using off line data analysis, can take out data from Hadoop platform, profit
Analyzed with the advantage of its parallel computation.As shown in figure 5, multiple node IPs are carried out after program request to ultra high-definition video, net is flowed through
Network parameter index and application layer video quality index can be uploaded to Hadoop after network layers module and application layer module and put down
Platform, each IP end can be obtained in network condition used in the period after carrying out MapReduce operations to the big file in platform
And the quality condition of video request program, it can be shown by web interface.
Claims (3)
1. a kind of mass monitoring system towards ultra high-definition video request program, it is characterised in that by network layer function, application layer
Functional module, presentation layer module and big data module composition, wherein：
The network layer function, measures functional module, http protocol by video streaming data packet handling module, TCP and parses mould
3 submodule compositions of block, for being acquired and analyzing accordingly to video stream data, obtain corresponding index, and be stored in number
Among storehouse；Wherein, packet handling module carries out the crawl of packet by interchanger using the function of its Port Mirroring,
Its functional equivalent is copied in the packet for being up to destination address, and the packet that copy is obtained is incoming to TCP measurement work(
Can module；TCP measures functional module by after the packet copied, carries out corresponding protocol classification processing；First in probe
The video streaming data packet handling module in portion falls Ethernet stem according to the structured filter of procotol, and removes the packet
IP layers of stem, so as to determine whether whether the packet contains TCP message, the video on-demand system is entered based on Transmission Control Protocol
Row transmission, therefore TCP message can be filtered out according to the condition, then by the incoming http protocol solution of the TCP message filtered out
Analyse module；Further determined whether as HTTP request, if so, then handling request bag and response bag, extracted according to parsing
Go out corresponding video source URL and http response code；If not HTTP request, then be tracked to the connection of whole service request, from
TCP sequence number, confirmation number are preserved, and then complete subsequent treatment；Carried out by the sequence number to each TCP and confirmation number
Contrast, obtains the out of order rate of re-transmission of current network；In TCP measurement functional modules Streaming Media is obtained by sending ICMP request bags
The response bag of server, carries out obtaining delay and the jitter conditions between link after field is won, and by calculating client
End, which sends request bag and receives time difference of response bag, obtains TCP setup time；Resulting index is finally stored in number
According in storehouse；
The application level function module, is to be used in application layer to video information in itself and video transmission quality from user perspective
Analyzed, degree of injury of the encoding and decoding to video is reflected by measuring PSNR/SSIM, here, PSNR represents peak value noise
Than SSIM represents structural similarity；The degree that different PSNR values represent current video is different；To video data stream
During decoding, decoded with H.265 decoder；Application level function module is being broadly divided into information gathering and information analysis two
Point；Information gathering part is decoded using ultra high-definition Video Decoder HEVC, after video flowing is obtained, using decoder every
Regular hour carries out cutting frame processing to video；Information analysis part is using the frame of video obtained by intercepting with source video at this
Frame at time is compared, and obtains degree of injury value；If the degree of injury value is larger, illustrate the time at video have interim card
Phenomenon；Above-mentioned obtained application layer index is stored in into database；
The presentation layer module, including Web server and database server, Web server pass through based on Python's
Django frameworks are built, by asynchronous transmission by each layer index Dynamic Announce in database on web interface, for carrying
For the displaying of interactive interface；Database server is stored the index of Internet and application layer；For sentencing for video quality
It is disconnected to represent the quality of current video quality there is provided corresponding numerical value threshold values；After the storage of a period of time, Hadoop is utilized
Big data platform, the data in database is imported after big data platform the off-line analysis for carrying out the later stage；
The big data module, including Hadoop big data platform clusters；Wherein, taking for cluster is carried out using Hadoop2.7.3
Build, to carry out effective storage to big file；It includes a name node and several back end；Name node is used for managing
The NameSpace of whole file system is managed, back end is responsible for storing and retrieving data block, it is adjusted by client and name node
Degree；For under off-line state, utilizing bandwidth in the out of order rate of analyzed network retransmission, network transmission, delay, shake, and
The video quality situation of each user in certain time is analyzed with reference to the PSNR values calculated in application layer module, when analyzing different
Between in section network bandwidth situation and user in the order video frequency situation of day part, pass through the analysis under the line, Streaming Media pipe
Reason personnel propose reliable opinion to make corresponding Management plan on this analysis foundation for operator.
2. the mass monitoring system according to claim 1 towards ultra high-definition video request program, it is characterised in that described regards
Frequency degree of injury value is larger, refers to, when continuous two PSNR values are more than 27, represent that video impairment degree is larger.
3. the mass monitoring system according to claim 1 towards ultra high-definition video request program, it is characterised in that whole video
VOD system is based on Transmission Control Protocol, so the parsing mainly to Transmission Control Protocol and http protocol, is divided into video
Flowing the out of order measurement submodule of TCP re-transmissions, bandwidth/delay jitter monitoring submodule, TCP setup times measurement submodule, HTTP please
Ask submodule, http response submodule；Ultra high-definition video quality monitoring system is received after task, and Internet passes through Port Mirroring
Mode to reach 192.168.1.5 addresses packet carry out capture intercept, obtain video data bag corresponding information；Then
Retransmit/out of order rate, TCP setup times, the calculating for the index that is delayed, retransmit out of order rate and pass through to the sequence in front and rear TCP bags
Number and confirm number to be compared to obtain the quantity for retransmitting out of order bag, TCP setup times pass through HTTP request bag and response bag
Time difference is obtained, and the delay jitter of network is obtained by sending ICMP request bags；By performing week as defined in setting
Phase equally spaced acquisition These parameters parameter, then carries out database preservation, will pass through web interface to institute by index result
Index is obtained to be shown；During displaying, being represented if being negative if re-transmission/out of order rate does not currently have new calculating data also
Among processing, there is not new data generation also, the monitoring for carry out bandwidth, delay, shaking is not per second to be carried out, but will interval
Timi requirement is 4 seconds, i.e., carried out one-time detection every 4 seconds.
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| CN112437279A (en) * | 2020-11-23 | 2021-03-02 | 方战领 | Video analysis method and device |
| CN115119181A (en) * | 2021-03-22 | 2022-09-27 | 阿里巴巴新加坡控股有限公司 | Service providing system, method, apparatus, device and storage medium |
| CN115119181B (en) * | 2021-03-22 | 2024-03-08 | 阿里巴巴新加坡控股有限公司 | Service providing system, method, device, equipment and storage medium |
| CN113766214A (en) * | 2021-09-07 | 2021-12-07 | 杭州雾联科技有限公司 | Quality detection method, quality detection system and related device of streaming data |
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