CN106254902A - A kind of based on mobile Internet video user perception and the method and system of analysis - Google Patents

A kind of based on mobile Internet video user perception and the method and system of analysis Download PDF

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Publication number
CN106254902A
CN106254902A CN201610695058.1A CN201610695058A CN106254902A CN 106254902 A CN106254902 A CN 106254902A CN 201610695058 A CN201610695058 A CN 201610695058A CN 106254902 A CN106254902 A CN 106254902A
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video
content
buffer
user
analysis
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CN106254902B (en
Inventor
任荣
金红
杨满智
刘长永
李大伟
谷耀
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Eversec Beijing Technology Co Ltd
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Eversec Beijing Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/24Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth, upstream requests
    • H04N21/2401Monitoring of the client buffer
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/231Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion
    • H04N21/23106Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion involving caching operations
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/234Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs
    • H04N21/23418Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/24Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth, upstream requests
    • H04N21/2407Monitoring of transmitted content, e.g. distribution time, number of downloads
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing 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
    • H04N21/433Content storage operation, e.g. storage operation in response to a pause request, caching operations
    • H04N21/4331Caching operations, e.g. of an advertisement for later insertion during playback
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing 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
    • H04N21/44Processing 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
    • H04N21/44008Processing 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 operations for analysing video streams, e.g. detecting features or characteristics in the video stream
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing 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
    • H04N21/442Monitoring 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
    • H04N21/44213Monitoring of end-user related data
    • H04N21/44222Analytics of user selections, e.g. selection of programs or purchase activity
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4667Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections

Abstract

The invention discloses a kind of based on mobile Internet video user perception and the method and system of analysis, the method includes: video traffic behavior defines;Video format resolve obtain video relevant parameter, including video definition buffer time, video resolution, video content bag format analysis;In conjunction with various conditions affecting video playback such as video self definition, SP definition, operating system definition, a kind of video traffic perception analysis method with " pressure valve leaky bucket " as principle of design, based on the key parameter relevant with video-aware, complete video initial buffer, video card pauses appearance and the condition of recovery broadcasting judges, the sense of reality of accurate feedback user is known the inside story condition, and video traffic situation.The present invention can improve the accuracy of the video traffic user perception definition maximum to mobile Internet access user's list service traffics, and the operational indicator obtained by analysis embodies mobile Internet network situation and auxiliary problem (AP) positions.

Description

A kind of based on mobile Internet video user perception and the method and system of analysis
Technical field
The present invention relates to mobile internet technical field, particularly to one based on mobile Internet video user perception and The method and system analyzed.
Background technology
Along with the most universal of 4G network and terminal capabilities constantly promote, video traffic develops rapidly the most therewith, video industry Business constantly promotes in the whole network service traffics accounting and importance, and from the point of view of the statistical result at the beginning of 16, video playback class business is Account for more than the 40% of 4G business total flow, and also constantly rising.Video traffic client perception depends not only on network quality, It is more dependent upon the effect that " end pipe The Cloud Terrace " each link plays jointly, needs badly from quality management based on network itself to focusing on client The end-to-end horizontal integration Quality Ensuring Mechanism of perception changes.Set up video traffic end-to-end performance management mechanism and be to ensure that visitor The key of family video traffic perception, is one of important application of the 4G epoch concentrating performance management.
The feature that video traffic shows in a network now is as follows:
1, the intensive place of user, network quality cover the best place, and video access amount is the most;
2, user's perception of video class business is most sensitive for network condition, and the dependency degree for network quality is the highest.
3, in mobile Internet, video protocols type, based on HTTP, is aided with a small amount of RTSP, RTMP
Video genre: in the request of regular video access, mp4, ts, flv form is most, occupies all accessed video type More than 80%, be followed successively by the Format Types such as mpg/mpeg, 3Gp afterwards;It addition, also swf, gif etc. use more, these two kinds Class (seemingly) video media file of " atypia " can be summarized as.
Prior art
About the screening of video traffic flow, present main flow producer mainly by from url filtering keys or The type relying on content-type judges video traffic flow.
And now popular video user aware scheme mainly has two classes in operator:
The first kind depend on that mobile group issues " China Mobile concentrates performance management application to land handbook XX to divide Volume video traffic end-to-end QoS analyzes V1.0 ".
The several key index of this scheme is defined as follows:
1) index name: video playback success rate
Index definition: video playback success rates in timing statistics section.
Index algorithm: ∑ (number of times of played data/synthetic video request total degree between transmission enough just time slack)/N × 100%
1, between first time slack: play the cache-time needed for video first.Different web sites model is slightly different.Need subnetting station Do different configurations.
2, enough data: between Streaming Media code speed * just time slack.
3, synthetic video a: video file, according to the playing model of different web sites, may be divided into multiple session and get Request, needs the repeatedly request of a video is associated synthesis.
2) index name: video playback waiting time
Index definition: from clicking on the time that video link commences play out to video.If playing advertisement before video, then during advertisement Between not very including.
Index algorithm: Σ (moment of played data-synthetic video request moment between transmission enough just time slack)/N
1, the data play between enough first time slack: on seeing
3) index name: video playback is averagely paused number of times
Index definition: commence play out from video and count, produces the secondary of pause due to various network reasons in playing process Number.
Index algorithm: Σ (pause number of times/resultant current media success broadcasting time)/N
1, pause number of times=Streaming Media code speed * (transmission duration-secondary caching duration) >=transmit the real data in duration The number of times of amount.
2, transmission duration: paused to determine from last time and this time pause the interval time judged.
3, secondary caching duration: after playing first, cache-time needed for video when occurring pausing.It is generally less than just time slack Between, need subnetting station to do different configurations.
4, resultant current media success broadcasting time: i.e. transmit the number of times of played data between enough first time slack, definition refer to " depending on Frequency plays success rate " index.
4) index name: initial buffer success rate
Index definition: SP sends the number of times of " TCP media data (initial buffer is full) " message to MS.
Index algorithm: (between transmission enough just time slack, the number of times/Get of played data responds the request of successful synthetic video to ∑ Total degree)/N × 100%
5) index name: the total duration of initial buffer
Index definition: from the mean time of TCP media data message to TCP media data (initial buffer is full) message Long.
Index algorithm: the Σ (mean time of TCP media data message to TCP media data (initial buffer is full) message Long)/N
Equations of The Second Kind is the token bucket algorithm that Anhui Mobile is leading:
1) index name: buffer definitions
Index definition: the content not yet play in the flow downloaded needs the time play
Index algorithm: buffer size=video download/video playback speed-video playback time
1, video download is directly obtained by probe;
2, video playback speed can be obtained by videodatarate in FLV file header or the total size of video/total duration
3, video playback time=current time-video broadcast start time-interruption duration, video broadcast start time is then Be download reach player definition buffer threshold time time;
2) other video broadcasting condition and KQI indicator-specific statistics judge
1, initial buffer state: after user asks video resource, the video playback time is 0, video download is gradually increased, Therefore buffer size increases by 0.When buffer size reaches buffer threshold, video commences play out.Now can unite Meter obtains video initial buffer duration;
2, broadcast state: along with the carrying out downloaded, play, buffer size starts after being gradually increased to reduce, works as relief area Amount is reduced to video playback when 0 and interrupts.Now can add up and obtain video breaks number of times, and obtain video breaks start time point.
3, halted state: after video playback is suspended, broadcasting no longer carries out, downloads continuation, when buffer size is more than again Restart after thresholding to play.Now can calculate acquisition and play interruption duration.
4, buffer threshold value: need to be analyzed obtaining according to each player.
5, buffer size=video download/video playback speed-video playback time
The problem that prior art exists
The problem that mobile Node grouping algorithm exists is as follows:
1, it is according to the different pure artificial setting done in website with the secondary buffer time between first time slack;
2, video card evaluation algorithm of pausing is a kind of " compromise ", meets this condition and not necessarily can block time (because not examining The situation that in buffering is enough only merely certain judgement cycle before worry, download is inadequate), it is unsatisfactory for this condition meeting of being likely to Generation card (because if buffering before consumes, " Streaming Media code speed * transmission duration >=transmit the real data in duration Amount " it is possible to card can occur)
3, also have some index definitions, as the definition of initial buffer success rate, the total duration of initial buffer is only suitable for part association View (such as RTMP and RTSP), because the row of " from TCP media data message to TCP media data (initial buffer is full) message " All can exist for not all agreement or all SP.
4, do not consider that the parameter in the video of various different-format, for caching and the impact of user's perception, causes algorithm one The parameter become dependent upon is the most inaccurate.
It is the most inaccurate that above Railway Project all can directly result in other all indexs;
The problem of Anhui algorithm is as follows:
Although it is contemplated that " buffering that different SP, different player version exist arranges difference, needs individually to analyze It is optimized ", but leakage prediction considers practical situation the most completely, is the most all to have discharged according to leaky bucket to start to supplement flow again and examine Consider;
Do not consider that the actually useful data block of various formatted file arrives the impact judging algorithm;
Do not consider operating system, file format are specified the buffering impact on total algorithm.
In a word, either use mobile Node grouping algorithm or Anhui Mobile algorithm, all cannot accurately react mobile interchange The access behavior of net video user and user's perception situation.
Summary of the invention
For the mobile access behavior talking about networked video user of reaction more accurately and user's perception situation, improve network Quality of service, improves data accuracy and availability, for the defect of prior art, it is provided that a kind of based on mobile Internet video User's perception and the method and system of analysis.By accurately screen video flow, the specific fields split in various video format, Design video-aware analyzes method, can obtain more accurate user side perception situation in network, in conjunction with customer position information (base station, GPS information) can carry out positioning problems to carrier network, promotes network quality.
The technical solution adopted in the present invention is as follows: a kind of based on mobile Internet video user perception and the side of analysis Method, it comprises the steps:
Step 100: video traffic defines, gathers URL information, content-type message and content characteristic inside http Field, the content accessed by mobile Internet by content-type, URL and content characteristic field comprehensive descision user is No for video;
Step 200: video content resolve, by various video content format are packaged, disassemble and analyze, take out with Key parameter that video-aware is relevant and the critical packet point time of advent, wherein, the key parameter relevant with video-aware includes: regard Frequently secondary after initial buffering time and corresponding cache size, video secondary buffer time and the video card of video initial buffer pause Remaining cache size when the size of data buffered, video secondary buffer or card during broadcasting starts;
Step 300: resolve SP and the terminal operating system situation of user's use that user accesses, and to above-mentioned and video The relevant key parameter of perception is revised and is adjusted;
Step 400: above-mentioned various achievement datas when user watches video are analyzed, and are judged by this achievement data To judge the network condition of the Internet and should export, wherein, this achievement data includes: when initial buffer success rate, initial buffer Length, video playback duration, video card pause or interrupt duration and number of times.
In above-mentioned steps 100, the judgement to video content specifically includes:
Step 101: obtain the keyword parameter in URL information;
Step 102: gather the content-type message of http head, it is judged that the service class that content-type specifies Type, collocation type of service storehouse and the mapping table of video format;
Step 103: gather the content characteristic in the body content after http head, for compression or encoded data Decompress in real time or Gray code work, take out content characteristic field;
Step 104: the feature collected according to above-mentioned steps 101,102 and 103, it is determined that video flow.
In above-mentioned steps 200, video content is carried out parsing and specifically includes:
Step 201, after being taken down by video content, packages in internal memory, the content in network packet load is formed Below can be with the video format content of complete analysis;
Step 202, tears video format structure open, takes out resolution, code check, buffer time from video content format;
Step 203, disassembles video bag, it is judged that the type of structure in video bag, wherein, it is judged that type include information header, Indexing head, audio section and video-frequency band;
Step 204, takes out the key parameter relevant with video-aware and the critical packet point time of advent, wherein, taking-up with The relevant key parameter of video-aware at least includes: cache size that video initial buffer is corresponding, secondary is broadcast after video card pauses The size of buffered data, video buffer when putting or block remaining cache size immediately.
In step 300, the detailed process of the parsing of the SP information that user accesses is included:
Step 301, the information, http user-agent field, mobile phone imei and the system that are reported by mobile terminal app Mapping table obtains operation system information;
Step 302, by host, IP, url storehouse, App feature, identify different SP, and join for different SP Number fine setting;
Step 303, get operating system and SP information after, the remaining cache size corresponding to video initial buffer, depending on Frequently after secondary buffer is corresponding remaining cache size and video card pause, secondary is play the size of required caching and is comprehensively adjusted Whole.
In above-mentioned steps 202, the method disassembling video structure includes:
It is that mp4, mov, 3Gp, mpg, Avi directly parse resolution, code check, video duration from video format;
It is that wmv, rmvb obtain the initial buffering time value that video is specified from video format;
From the video PMT_Stream structure of TS form, parse the coded system of video, and video content is corresponding The PID of TS structure, finds the PES structure specified according to PID, and taking out all payload_unit_start_indicator is 1 PES head bag, the PTS information inside taking-up;The coded system got from the PMT_Stream structure of TS would know that phase The Video coding mode answered, and then obtain corresponding resolution and code check;
Video content to H.264 form, is decoded NALu head, according to the difference of ProfileIDC field, applies mechanically Different analysis mode, it is thus achieved that resolution, code rate information.
In step 301, the preferential information using app to report and user-agent information are to judge that operating system is believed Breath, mobile phone imei and system mapping table are as foundation or the auxiliary judgment foundation judging OS Type.
Based on another aspect of the present invention, also provide for a kind of based on mobile Internet video user perception and analysis be System, described system includes:
Video content determination module, for gathering URL information, content-type message and the content characteristic inside http Field, whether the content that comprehensive descision user is accessed by mobile Internet is video;
Video format analyzes module, by various video content format are packaged, disassemble and analyzed, takes out and video Key parameter that perception is relevant and the critical packet point time of advent, wherein, the key parameter relevant with video-aware includes: at the beginning of video Begin buffer time and corresponding cache size, video secondary buffer time and the video card of video initial buffer pause after secondary play Time the size of data buffered, video secondary buffer or card start time remaining cache size;
Adjusting module, for resolving SP and the terminal operating system situation of user's use that user accesses, and to above-mentioned The key parameter relevant with video-aware carries out parameter revision and adjustment;
Video-aware analyzes module, and above-mentioned various achievement datas when user watches video are analyzed, and are referred to by this Mark data judge the network condition of the Internet and export network condition result, and wherein, this achievement data includes: initial buffer success Rate, initial buffer duration, video playback duration, video card pause or interrupt duration and number of times.
Further, above-mentioned video content determination module specifically includes following steps to the judgement of video content:
Obtain the keyword parameter in URL information;
Gather the content-type message of http head, it is judged that the type of service that content-type specifies, industry of arranging in pairs or groups Service type storehouse and the mapping table of video format;
Gather the content characteristic in the body content after http head, for compression or encoded data reality to be carried out Time decompression or Gray code work, take out content characteristic field;
According to the above-mentioned feature collected, comprehensive and judge video flow.
Further, above-mentioned video format is analyzed module and video content carries out parsing is specifically included following steps:
Group bag processes, and after being collected by video content, packages in internal memory, by the content group in network packet load Can be with the video format content of complete analysis after one-tenth;
Tear video format structure open, take out resolution, code check, buffer time from video content format;
Disassemble video bag, it is judged that the type of structure in video bag, wherein, it is judged that type include information header, indexing head, sound Frequency range and video-frequency band;
Take out the key parameter relevant with video-aware and the critical packet point time of advent, wherein, taking-up and video-aware Relevant key parameter at least includes: cache size that video initial buffer is corresponding, video card pause after secondary when playing Buffered data size, video buffer or block remaining cache size immediately.
Further, the process that the key parameter of video-aware is revised by above-mentioned adjusting module includes:
Information, http user-agent field, mobile phone imei and the system corresponding relation reported by mobile terminal app Table obtains operation system information;
By host, IP, url storehouse, App feature, identify different SP, and carry out small parameter perturbations for different SP;
After getting operating system and SP information, the remaining cache size corresponding to video initial buffer, video secondary delays After the remaining cache size of punching correspondence and video card pause, the required size cached of secondary broadcasting carries out structure adjusting.
Disclosed in this invention a kind of based on mobile Internet video user perception and the method and system of analysis, reach Following technique effect:
1, the value of emphasis parameter more science, closer to truth;Such as initial buffer, secondary buffer, reserved buffering Deng all take into account the impact of video itself, SP, operating system, and the artificial behavior (advertisement) of the network bandwidth and SP is for master The impact of video playback itself is all taken into account, makes parameter more accurate as far as possible;
2, KQI index definition is more scientific;The KQI index algorithm that algorithm before comparing relies on can only be for sub-fraction stream For amount, our KQI definition considers various agreement, various scenes, index definition and index algorithm itself more fully hereinafter The most more press close to real scene.
3, judgment mode is more accurate;It is different from the most traditional coming by the method downloading rectification flow in the cycle monitoring cycle Saying, our flow judgment mode take into account the pack arrangement of video file itself, eliminates in pack arrangement for user's perception But affect the less part bigger for the impact of algorithm accuracy.The when of such as considering initial buffer, we just see arrival visitor Whether the amount of the video-frequency band of family end meets the requirement of initial buffer rather than sees whether all of video flow meets initially The requirement of buffered play, although difference here less than 1 second, but may be less than 3 for overall initial buffer major part For the video behavior of second, accounting is the highest.
4, determination methods entirety is more accurate;Except above 3 points, the flow process that this method itself considers simulates the most as far as possible and regards The flow process of frequency broadcasting rather than the simple judgement to flow.Such as take into account during video playback reserved a part of sometimes Just stopping playing after buffering rather than all exhausting caching, and for example take into account secondary buffer can be because network condition be the most Secondary card pause after automatic increase, it is contemplated that the impact etc. that video playback advertisement is downloaded for main video initial buffer.
5, technical scheme can improve the video traffic user maximum to mobile Internet access user's list service traffics The accuracy of perception definition, and the operational indicator obtained by analysis embodies mobile Internet network situation and auxiliary problem (AP) is fixed Position.
Accompanying drawing explanation
Fig. 1 is of the present invention based on mobile Internet video user perception with the schematic flow sheet of the method for analysis.
Fig. 2 is of the present invention based on mobile Internet video user perception with the principle schematic of the system of analysis.
Fig. 3 is that the embodiment of the present invention applies " pressure valve leaky bucket " principle principle to video traffic perception analysis method Figure.
Fig. 4 applies " pressure valve leaky bucket " principle simulation to video traffic perception analysis method for the embodiment of the present invention Structure chart.
Detailed description of the invention
Below in conjunction with accompanying drawing, the present invention is described in further detail, but not as a limitation of the invention.
The present invention is by accurately screening video flow, the specific fields split in various video format, design video-aware Parser, can obtain more accurate user side perception situation in network, in conjunction with customer position information (base station, GPS letter Breath) carrier network can be carried out positioning problems, promote network quality.
With reference to shown in Fig. 1, Fig. 1 shows that one disclosed in this invention based on mobile Internet video user perception and is divided The method of analysis, it should be noted that the method is not limited to 2/3G and LTE network, other has the network of similar behavior (such as interconnection Net) all can use.The method mainly comprises the steps:
Step 100: gather URL information, content-type message and the content characteristic field inside http, pass through Whether the content that Content-type, URL and content characteristic field comprehensive descision user are accessed by mobile Internet is video;
Step 200: video content resolve, by various video content format are packaged, disassemble and analyze, take out with Key parameter that video-aware is relevant and the critical packet point time of advent, wherein, the key parameter relevant with video-aware includes: regard Frequently secondary after initial buffering time and corresponding cache size, video secondary buffer time and the video card of video initial buffer pause The size of data buffered, video secondary buffer or two secondary cards during broadcasting pause beginning time remaining cache size, it is also possible to include Video resolution, wherein, the initial buffering time of video is optional;
Step 300: resolve SP and the terminal operating system situation of user's use that user accesses, and to above-mentioned and video The relevant key parameter of perception is revised and is adjusted;
Step 400: above-mentioned various achievement datas when user watches video are analyzed, and are judged by this achievement data To judge the network condition of the Internet and should export, wherein, this achievement data includes: when initial buffer success rate, initial buffer Length, video playback duration, video card pause or interrupt duration and number of times.
With reference to shown in Fig. 2, based on another aspect of the present invention, additionally provide a kind of based on mobile Internet video user sense The system known and analyze, this system includes:
Video content determination module, for gathering URL information, content-type message and the content characteristic inside http Field, whether the content that comprehensive descision user is accessed by mobile Internet is video;
Video format analyzes module, by various video content format are packaged, disassemble and analyzed, takes out and video Key parameter that perception is relevant and the critical packet point time of advent, wherein, the key parameter relevant with video-aware includes: at the beginning of video Begin buffer time and corresponding cache size, video secondary buffer time and the video card of video initial buffer pause after secondary play Time the size of data buffered, video secondary buffer or two secondary cards pause beginning time remaining cache size;
Adjusting module, for resolving SP and the terminal operating system situation of user's use that user accesses, and to above-mentioned The key parameter relevant with video-aware carries out parameter revision and adjustment;
Video-aware analyzes module, and above-mentioned various achievement datas when user watches video are analyzed, and are referred to by this Mark data judge the network condition of the Internet and export network condition result, and wherein, this achievement data includes: initial buffer success Rate, initial buffer duration, video playback duration, video card pause or interrupt duration and number of times.
Technical scheme is by accurately screening video flow, the specific fields split in various video format, setting Meter video-aware analyzes method, can obtain more accurate user side perception situation in network, it is possible to increase use mobile Internet access The accuracy of video traffic user's perception definition that family list service traffics are maximum, in conjunction with customer position information (base station, GPS letter Breath) carrier network can be carried out positioning problems, promote network quality, and the operational indicator obtained by analysis embodies mobile Internet situation and auxiliary problem (AP) location.
Describe in detail below the present invention to video-aware and the step of analysis:
Step 100, video content judges;Led to by Content-type+URL+ content characteristic field comprehensive descision user Whether the content crossing mobile Internet access is video.
Wherein, in step 100, the judgement to video content, specifically comprise the steps of:
Step 101, obtains the keyword parameter in URL information;But parameter also has uncertainty, some URL the most whereby May not necessarily possess key message, or the most also can there is fascination, as path being contaminated with the keyword of video suffix but reality Border accesses content non-video, and being used alone this, to put method the most not enough for the adequacy and necessity judging video flow;
Step 102, gathers the content-type message of http head, it is judged that the type of service that content-type specifies, Collocation type of service storehouse and the mapping table of video format, as judging one of http video flowing foundation, this parameter is because can Word selection section and affected heavier by browser, therefore it is used alone adequacy and necessity also shows slightly not enough and inaccurate, need to carry out Judge further;
Step 103, gathers the content characteristic in the body content after http head, for compression or encoded data Carrying out decompression in real time or the Gray code work of necessity, (bytes as several in the beginning of MP4 may be to take out content characteristic field 0x00 00 00 1C 66 74 79 70 or 0,x00 00 00 18 66 74 79 70 or 0,x00 00 00 20 66 74 79 70, wherein the 4th byte is not fixed, for controlling the byte of length).This is the strongest factor of judgment, as to url and There is query or without type of service basis for estimation during obvious characteristic in the type of service that content-type specifies.
Step 104, the characteristic point collected according to 101,102,103 steps, it is determined that video flow.By above three because of The combination of element, can determine that video flow substantially.
Step 200, video content resolves;By various video content format are packaged, disassemble and analyzed, it is right to take out The key parameter needed when video-aware approach below defines and the critical packet point time of advent.Wherein, taking-up with video sense Know that relevant key parameter at least includes: cache size that video initial buffer is corresponding, the caching that video secondary buffer is corresponding are big Little, video secondary buffer or two secondary cards pause beginning time remaining cache size;
Video initial buffering time, needs the video playback duration that the data of buffering are corresponding when being video initial play; The secondary buffer time, video playback duration corresponding to buffered data when secondary is play after i.e. video card pauses;Video duration It is itself available for the duration attribute play for video, when embodying on video format, is the Duration (persistent period) of video Parameter.
In step 200, following steps are also specifically included:
Step 201, group bag, after being taken down by video content, internal memory carries out the group bag of necessity, by network packet load Content composition after can be with the video format content of complete analysis.
Step 202, tears video format structure open, takes out resolution (comprising vertical frame dimension and frame width), code from video content format Rate, buffer time.Wherein the video format such as mp4, mov, 3Gp, mpg, Avi directly can parse resolution according to specification document (vertical frame dimension, frame width), code check, video duration;
Mkv form is based on EBML structure, need to solve within the Segment head below EBML head Duration field in SegmentInfo head.
For forms such as wmv, rmvb/rm, the initial buffering time value (for Optional Field) that video is specified can be obtained.
The somewhat complexity of TS form, parses the volume of video (video) from the video PMT_Stream structure of TS form Code mode, and the PID of TS structure corresponding to video content, find the PES structure specified according to PID, takes out all Payload_unit_start_indicator is the PES head bag of 1, the PTS information inside taking-up, and each PTS information represents The play time of this comprised content of PES bag, last PTS information deducts first PTS information, is whole TS The playing duration of video.
The coded system got from the PMT_Stream structure of TS would know that corresponding Video coding mode (as H.264, most TS is this coded system), and then obtain corresponding resolution, the information such as code check.
H.264 the video content of form, can be decoded NALu head, according to the difference of ProfileIDC field, apply mechanically Different analysis mode, it is thus achieved that resolution, the information such as code check.
Step 203, disassembles video bag, it is judged that type (information header, indexing head, audio section, the video of structure in video bag Section), the most completely rather than simply press with the data volume providing the type of the algorithm bag according to arriving to judge required caching Initial buffering time * code check whether is met as condition to judge whether user has begun to normally broadcast according to overall download Put, because information header and indexing head location are general all at the leading portion of video content, so this analysis method is accurately Analyze the temporal effect of initial play to be even more important.
Step 300, resolves SP and the terminal situation of user's use that user accesses, and to above-mentioned relevant with video-aware Key parameter revise and adjust.
In step 300, following steps are also specifically included:
Step 301, by mobile phone app reporting information, http user-agent field, mobile phone imei pass corresponding with system It is that table obtains operation system information (system information comprises the hardware information etc. that system version number, system id, system are corresponding).Its In, the preferential information using app to report and user-agent field information, mobile phone imei is only used as with system mapping table Judge foundation or the auxiliary judgment foundation of OS Type (Android, IOS).Because Android and IOS is for video The difference (and the difference of operating system also can affect the difference of software version) of broadcast strategy, same operating system difference version Different for the just and afterwards version of the default value before the difference of video playback strategy, such as Android4.0 between Ben, It is therefore necessary to by cache size (ready_buffer) after operating system identification more corresponding to video initial buffer, and Video card pause after secondary play time the most data cached size (cache_buffer) be adjusted.
Step 302, obtains SP information, and is analyzed operating system and SP.By host, IP, url storehouse, App spy Levy, different SP can be identified.With the structure (BOX) in time-division each video format, with each knot depositing video content The structure point time of advent is decision node (rather than simply periodically to judge that download is as Rule of judgment), it is judged that add up to descend into Whether the video content of client meets the broadcasting demand of initial buffering time.Different SP has not for the video of various forms With broadcast strategy, be required for different SP and carry out the fine setting in parameter, wherein, the difference of the operating system in the method with And the difference (difference comprising software version) of SP software mainly has influence on two bases of ready_buffer and cache_buffer The default value of plinth parameter, it addition, the difference of SP software and video source itself produce impact to x_time_buffer the most simultaneously, its In, x_time_buffer is that " when the data (Buffer) of buffering are less than this value in playing process, video council stops broadcasting Put " threshold value, it is understood that remaining cache size when starting for secondary buffer (card).
Step 303, parameter adjustment.After getting operating system and SP information, to ready_buffer, cache_ Buffer, x_time_buffer parameter carries out structure adjusting.
Step 400: above-mentioned various achievement datas when user watches video are analyzed, and are judged by this achievement data To judge the network condition of the Internet and should export the network condition of various achievement data embodiment mobile Internet, wherein, this refers to Mark data include: initial buffer success rate, initial buffer duration, video playback duration, video card pause or interrupt duration and number of times.
The video flow process filtered out in step 100 is as the basic input source of step 400, to obtain in step 200 Code check, resolution, video format and step 300 in parameter ready_buffer, cache_ of being calculated of obtaining Buffer, x_time_buffer, the computational methods of " the pressure valve leaky bucket " of the design present invention.
With reference to shown in Fig. 3, Fig. 3 shows that the present invention uses " pressure valve leaky bucket " principle to carry out video traffic perception analysis Principle schematic.
In Fig. 3, each meaning of parameters is expressed as follows:
1, between first time slack
The video playback duration that the data of buffering are corresponding is needed during video initial play;
2, the secondary buffer time
Video card pause after secondary video playback duration corresponding to buffered data when playing;
3, video duration
During video, a length of video itself can embody to video format for the duration attribute play, be video Duration parameter;
4、Ready_buffer_size
The size of data of buffering is needed during video initial play
* bitrate between Ready_buffer_size=just time slack
5、Cache_buffer_size
Video card pause after secondary play time the size of buffered data
Cache buffer size=secondary buffer time * bitrate
6, real-time buffer (Buffer) size
Whole downloads of the i.e. current time of Buffer size deduct playback volume, in upper figure:
The area of the area of the first section-following second section above Buffer=;
7、X Time_buffer_size
When the data (Buffer) of buffering are less than this value in playing process, video council stops playing;
8、T0;
Video request initiates the moment;
9、T1
Buffer is for the first time > moment of Ready_buffer_size;
10、T2
The moment that advertisement plays;
11、Tx0
Formal video commences play out the moment;Tx0=Max (T1, T2);Transmission enough just time slack it is time the most adless Between moment of played data, be that advertisement plays the moment of played data between moment and transmission enough just time slack when of having advertisement In higher value;
12、TyN
N=0,1,2 ... ..
When Buffer from>X Time buffer size becomes the<moment of X Time buffer size
13、TxN
N=1,2,3 ...
When Buffer is again from<cache buffer size and<X Time buffer size becomes>cache The moment of buffer size
As shown in Figure 4, after each parameter in step 401 defines, according to " pressure valve leaky bucket " principle, when first After secondary ready buffer is full, (ready buffer, typically slightly larger than Cachebuffer, may be regarded as valve bucket and presses off for the first time Pressure needed for valve will be more greatly), video commences play out, and after buffer water level is less than x_time buffer, video stops Play (regarding as valve pressure not open), when water level fills again to cache buffer, and video starts again to play.Buffer Whether reach equivalent water level line to judge with " effective discharge ", i.e. with video content segment arrive number judge, to avoid letter The impact on accurately judging of the breath flow such as block, index block.
The index output rule of above-mentioned several key is as follows:
1, video playback waiting time
Index definition: from clicking on the time that video link commences play out to video.In the prior art, part document claims If playing advertisement before video, then including the time spot do not includes, but testing through reality, playing advertisement has shadow for the perception of client Ringing, video playback waiting time is it is also contemplated that watch the impact of the time spot interior data downloaded;
Index algorithm:
If a) without advertisement: video playback waiting time=Tx0-T0;
If b) having advertisement, and advertisement duration calculation enters video playback waiting time then: video playback waiting time=Max (0, T1-T2)+T2-T0=Max (T2-T0, T1-T0);This value take into account advertisement duration;
If c) having advertisement, not considering advertisement duration, only considering that advertisement plays rear user's waiting time, then: video is broadcast Put waiting time=Max (0, T1-T2);
2, video playback pause number of times
Index definition: during secondary buffer a length of Buffer amount from less than X Time_buffer_size to meeting Cache_ The download time that buffer_size needs.
Index algorithm: secondary buffer duration=TxN-Ty (N-1), N=1,2 ... as first paragraph secondary buffer duration= Tx1-Ty0;
Finally, to above-mentioned application " pressure valve leaky bucket " principle, analyze the user's achievement data obtained and export, to sentence Determining user's sensing results, the primary fields finally exported is as follows:
There are 3 open defects in existing video user perception analysis algorithm: key parameter is the fixing of artificial setting entirely Value, has only distinguished the difference of SP, has not been considered the properties affect of operating system, video itself;The definition of some algorithms relies on Packet basis be not pervasive existence, only very small part flow is had effect;The feature of video traffic itself is not examined Consider completely, the remaining when algorithm such as designed does not takes into account video playback, monitor cycle not science, initial buffer establishing method The most reciprocity, the most all make the design of algorithm itself exist for problem, the accuracy of user's perception judges the most more not know where to begin.
Compared with immediate prior art, the present invention solves above three major defect, and the technology of the present invention advantage is such as Under:
1, the value of emphasis parameter more science, closer to truth;Such as initial buffer, secondary buffer, reserved buffering Deng all take into account the impact of video itself, SP, operating system, and the artificial behavior (advertisement) of the network bandwidth and SP is for master The impact of video playback itself is all taken into account, makes parameter more accurate as far as possible;
2, KQI index definition is more scientific;The KQI index algorithm that algorithm before comparing relies on can only be for sub-fraction stream For amount, our KQI definition considers various agreement, various scenes, index definition and index algorithm itself more fully hereinafter The most more press close to real scene.
3, judgment mode is more accurate;It is different from the most traditional coming by the method downloading rectification flow in the cycle monitoring cycle Saying, our flow judgment mode take into account the pack arrangement of video file itself, eliminates in pack arrangement for user's perception But affect the less part bigger for the impact of algorithm accuracy.The when of such as considering initial buffer, we just see arrival visitor Whether the amount of the video-frequency band of family end meets the requirement of initial buffer rather than sees whether all of video flow meets initially The requirement of buffered play, although difference here less than 1 second, but may be less than 3 for overall initial buffer major part For the video behavior of second, accounting is the highest.
4, determination methods entirety is more accurate;Except above 3 points, the flow process that the inventive method itself considers simulation the most as far as possible The flow process of video playback rather than the simple judgement to flow.One is reserved sometimes when such as take into account video playback Partial buffer rather than just stop after all exhausting caching playing, and for example take into account secondary buffer can be because network condition be bad Automatic increase after many secondary cards are paused, it is contemplated that the impact etc. that video playback advertisement is downloaded for main video initial buffer.
Described above illustrate and describes some preferred embodiments of the present invention, but as previously mentioned, it should be understood that the present invention Be not limited to form disclosed herein, be not to be taken as the eliminating to other embodiments, and can be used for other combinations various, Amendment and environment, and can be in invention contemplated scope described herein, by above-mentioned teaching or the technology of association area or knowledge It is modified.And the change that those skilled in the art are carried out and change are without departing from the spirit and scope of the present invention, the most all should be at this In the protection domain of bright claims.

Claims (10)

1. one kind based on mobile Internet video user perception and the method for analysis, it is characterised in that including:
Step 100: video traffic defines, gathers URL information, content-type message and content characteristic word inside http Section, whether the content accessed by mobile Internet by Content-type, URL and content characteristic field comprehensive descision user For video;
Step 200: video content resolves, by various video content format are packaged, disassemble and analyzed, takes out and video Key parameter that perception is relevant and the critical packet point time of advent, wherein, the key parameter relevant with video-aware includes: at the beginning of video Begin buffer time and corresponding cache size, video secondary buffer time and the video card of video initial buffer pause after secondary play Time the size of data buffered, video secondary buffer or card start time remaining cache size;
Step 300: resolve SP and the terminal operating system situation of user's use that user accesses, and to above-mentioned and video-aware Relevant key parameter is revised and is adjusted;
Step 400: above-mentioned various achievement datas when user watches video are analyzed, being judged by this achievement data should be with Judging the network condition of the Internet and export, wherein, this achievement data includes: initial buffer success rate, initial buffer duration, regard Frequently playing duration, video card pause or interrupt duration and number of times.
2. as claimed in claim 1 based on mobile Internet video user perception and the method for analysis, it is characterised in that upper Stating in step 100, the judgement to video content specifically includes:
Step 101: obtain the keyword parameter in URL information;
Step 102: gather the content-type message of http head, it is judged that the type of service that content-type specifies, take Join the mapping table of type of service storehouse and video format;
Step 103: gather the content characteristic in the body content after http head, to enter for compression or encoded data Row decompression in real time or Gray code work, take out content characteristic field;
Step 104: the feature collected according to above-mentioned steps 101,102 and 103, it is determined whether for video.
3. as claimed in claim 1 based on mobile Internet video user perception and the method for analysis, it is characterised in that upper State in step 200, video content carried out parsing and specifically includes:
Step 201, after being taken down by video content, packages in internal memory, after the content composition in network packet load Can be with the video format content of complete analysis;
Step 202, tears video format structure open, takes out resolution, code check, buffer time from video content format;
Step 203, disassembles video bag, it is judged that the type of structure in video bag, wherein, it is judged that type include information header, index Head, audio section and video-frequency band;
Step 204, takes out the key parameter relevant with video-aware and the critical packet point time of advent, wherein, taking-up and video The relevant key parameter of perception at least includes: cache size that video initial buffer is corresponding, video card pause after secondary when playing The size of buffered data, video buffer or block remaining cache size immediately.
4. as claimed in claim 3 based on mobile Internet video user perception and the method for analysis, it is characterised in that in step In rapid 300, the detailed process of the parsing of the SP information that user accesses is included:
Step 301, the information reported by mobile terminal app, http user-agent field, mobile phone imei are corresponding with system Relation table obtains operation system information;
Step 302, by host, IP, url storehouse, App feature, identify different SP, and it be micro-to carry out parameter for different SP Adjust;
Step 303, get operating system and SP information after, the remaining cache size corresponding to video initial buffer, video two After the remaining cache size of secondary buffering correspondence and video card pause, the required size cached of secondary broadcasting carries out structure adjusting.
5. as claimed in claim 3 based on mobile Internet video user perception and the method for analysis, it is characterised in that upper Stating in step 202, the method disassembling video structure includes:
It is that mp4, mov, 3Gp, mpg, Avi directly parse resolution, code check, video duration from video format;
It is that wmv, rmvb obtain the initial buffering time value that video is specified from video format;
The coded system of video, and the TS knot that video content is corresponding is parsed from the video PMT_Stream structure of TS form The PID of structure, finds the PES structure specified according to PID, takes out the PES that all payload_unit_start_indicator are 1 Head bag, the PTS information inside taking-up;The coded system got from the PMT_Stream structure of TS would know that and regard accordingly Frequently coded system, and then obtain corresponding resolution and code check;
Video content to H.264 form, is decoded NALu head, according to the difference of ProfileIDC field, applies mechanically difference Analysis mode, it is thus achieved that resolution, code rate information.
6. as claimed in claim 4 based on mobile Internet video user perception and the method for analysis, it is characterised in that in step In rapid 301, the preferential information using app to report and user-agent information to judge operation system information, mobile phone imei with System mapping table is as foundation or the auxiliary judgment foundation judging OS Type.
7. one kind based on mobile Internet video user perception and the system of analysis, it is characterised in that described system includes:
Video content determination module, for gathering URL information, content-type message and the content characteristic word inside http Section, whether the content that comprehensive descision user is accessed by mobile Internet is video;
Video format analyzes module, by various video content format are packaged, disassemble and analyzed, takes out and video-aware Relevant key parameter and the critical packet point time of advent, wherein, the key parameter relevant with video-aware includes: video initially delays Rush the time and corresponding cache size, video secondary buffer time and the video card of video initial buffer pause after secondary when playing Remaining cache size when size of data, video secondary buffer or the card buffered starts;
Adjusting module, for resolve user access SP and user use terminal operating system situation, and to above-mentioned with regard Frequently the relevant key parameter of perception carries out parameter revision and adjustment;
Video-aware analyzes module, and above-mentioned various achievement datas when user watches video are analyzed, by this index number It is judged that the network condition of the Internet export network condition result, wherein, this achievement data includes: initial buffer success rate, Initial buffer duration, video playback duration, video card pause or interrupt duration and number of times.
8. as claimed in claim 7 based on mobile Internet video user perception and the system of analysis, it is characterised in that video Content determination module specifically includes following steps to the judgement of video content:
Obtain the keyword parameter in URL information;
Gather the content-type message of http head, it is judged that the type of service that content-type specifies, service class of arranging in pairs or groups Type storehouse and the mapping table of video format;
Gather the content characteristic in the body content after http head, to solve in real time for compression or encoded data Pressure or Gray code work, take out content characteristic field;
According to the above-mentioned feature collected, comprehensive and judge video flow.
9. as claimed in claim 7 based on mobile Internet video user perception and the system of analysis, it is characterised in that video Format analysis module carries out parsing and specifically includes following steps video content:
Group bag processes, and after being collected by video content, packages in internal memory, after the content in network packet load being formed Face can be with the video format content of complete analysis;
Tear video format structure open, take out resolution, code check, buffer time from video content format;
Disassemble video bag, it is judged that the type of structure in video bag, wherein, it is judged that type include information header, indexing head, audio section And video-frequency band;
Take out the key parameter relevant with video-aware and the critical packet point time of advent, wherein, taking-up relevant with video-aware Key parameter at least include: cache size that video initial buffer is corresponding, video card pause after secondary buffering when playing Size of data, video buffer or block remaining cache size immediately.
10. as claimed in claim 7 based on mobile Internet video user perception and the system of analysis, it is characterised in that to adjust The process that the key parameter of video-aware is revised by mould preparation block includes:
The information that reported by mobile terminal app, http user-agent field, mobile phone imei are obtained with system mapping table Obtain operation system information;
By host, IP, url storehouse, App feature, identify different SP, and carry out small parameter perturbations for different SP;
After getting operating system and SP information, the remaining cache size corresponding to video initial buffer, video secondary buffer pair After the remaining cache size answered and video card pause, the required size cached of secondary broadcasting carries out structure adjusting.
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