CN112887764B - OTT video audience rating analysis method and equipment based on DPI and storage medium - Google Patents
OTT video audience rating analysis method and equipment based on DPI and storage medium Download PDFInfo
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- CN112887764B CN112887764B CN202110069002.6A CN202110069002A CN112887764B CN 112887764 B CN112887764 B CN 112887764B CN 202110069002 A CN202110069002 A CN 202110069002A CN 112887764 B CN112887764 B CN 112887764B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
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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]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/85—Assembly of content; Generation of multimedia applications
- H04N21/854—Content authoring
- H04N21/8547—Content authoring involving timestamps for synchronizing content
Abstract
The invention relates to the field of network traffic management and monitoring, in particular to an OTT video audience rating analysis method and device based on DPI and a storage medium. In a first aspect of the present invention, an OTT video audience rating analysis method based on DPI is provided, including the following steps: acquiring data: acquiring data including each video ID by using DPI equipment; counting time length: removing the interval duration of the stream, and counting the actual watching duration of the same video; calculating the audience rating: the audience share of each video is calculated. The invention also provides OTT video audience rating analysis equipment based on the DPI and readable storage equipment of a computer. The duration of the actual transmission flow of the user is obtained through DPI data and is used as the actual watching duration, the duration of opening the video by the user is not counted, the situations of advertisements, user pause and the like are eliminated, the coverage range is larger, and the obtained OTT audience rating is more accurate.
Description
The technical field is as follows:
the invention relates to the field of network traffic management and monitoring, in particular to a DPI-based OTT video audience rating analysis method, DPI-based OTT video audience rating analysis equipment and a DPI-based OTT video audience rating analysis storage medium.
The background art comprises the following steps:
with the continuous improvement of the permeability of the smart television, the smart television provides services to people, not only live broadcast services, but also functions of life (shopping, medical treatment), entertainment (games), education and the like, and content resources are developed toward diversification and individuation. In the fragmentation era, the demand becomes a large winner in the drag saw battle of the large-screen use behavior of the user. In order to attract the attention of the user, a convenient service is provided in the fragmentized time of the user, and the more humanized watching experience, the viscous relation established with the user and the like are the more favored reasons of the on-demand program. Television audiences are shifted from a traditional television to an OTT terminal, the intelligent on-demand behavior of users is obviously superior to the traditional live broadcast viewing behavior in the aspect of large screen, and the time consumed by the users on the large screen tends to incline towards the on-demand behavior. Moreover, audiences of the intelligent television are mainly middle-grade groups with high school calendars, high income and strong consumption capacity, and the commercial value of the advertisement is gradually highlighted.
The dimensionality of the traditional audience rating survey is not enough to support the requirements of precise marketing of advertisers, television stations and the like, and the development of the era technology needs a brand-new multidimensional data analysis system to perfect the statistics and research of the audience rating of the intelligent television.
Therefore, there is a need in the art for a DPI-based OTT video rating analysis method, apparatus and storage medium.
The invention is provided in view of the above.
The invention content is as follows:
in view of the above, the present invention is to provide a method, a device and a storage medium for analyzing OTT video audience rating based on DPI, so as to solve at least one technical problem in the prior art.
Specifically, in a first aspect of the present invention, a dot video audience rating analysis method based on DPI is provided, including the following steps:
acquiring data: acquiring data including each video ID by using DPI equipment;
counting the time length: removing the interval duration of the stream, and counting the actual watching duration of the same video;
calculating the audience rating: the audience share of each video is calculated.
By adopting the technical scheme, the time length of the actual transmission flow of the user is obtained through the DPI data and is used as the actual watching time length, the time length of the user for opening the video is not counted, the situations of advertisements, user pause and the like are eliminated, the coverage range is larger, and the obtained OTT audience rating is more accurate.
Further, the OTT video audience rating analysis method based on DPI further includes the following steps:
data grouping: and grouping the acquired data according to the video ID and the user account.
By adopting the technical scheme, the data stream is processed in groups, so that repeated data can be conveniently found, uniform processing can be conveniently carried out on the same type of data, and the calculation efficiency is improved.
Further, the data packet further includes the following steps:
sorting according to the flow sequence, and dividing adjacent flows into different groups when the interval of the adjacent flows is larger than a threshold value.
By adopting the technical scheme, the interval time is convenient to remove, the relatively centralized watching is convenient to be uniformly processed, and the calculation efficiency and the calculation precision are submitted.
Further, the OTT video audience rating analyzing method based on DPI further includes the following steps:
and (3) screening data: multiple data exist in the same video ID in the same group of data, and only one data is reserved.
By adopting the technical scheme, the same group of data is data of watching a certain video under all platforms within a period of time under a certain account number, if various data exist, the situation that the same video is watched by utilizing a plurality of platforms or equipment at the same time can form repeated statistics is shown, the data screening can prevent the repeated statistics, and the audience rating can be calculated more accurately.
Further, the data screening comprises the following steps:
and judging whether multiple data of the same video exist in the same group of data, if so, comparing the multiple data, and keeping the data with the maximum duration value.
By adopting the technical scheme, the longest value of the watching time is used as the reserved data, so that the reserved watching time length covers the time length of the time in other equipment, and the calculation result is more accurate.
Further, the statistical duration comprises the following steps:
calculating a data accumulation period T data ：T data = end _ t-start _ t, where start _ t is the minimum stream start time and end _ t is the maximum stream start time end _ t;
calculating the accumulated time length T of the message pcap ：
Wherein
Wherein, delta T i For each segment of the video-viewing duration, end i For the end time of each video slice, start i For the start time of each video slice.
Calculating the actual watching time length T: t = MAX (T) data ,T pcap ) Wherein, T data For accumulating the duration, T, of the data pcap The duration is accumulated for the message.
By adopting the technical scheme, the message accumulated time and the data accumulated time are respectively calculated, the actual watching time is counted in various modes, the numerical value error caused by data loss is prevented, and the fault tolerance rate is improved.
Further, the calculating of the audience rating includes the steps of:
calculating the video ID audience rating: video ID rating = video ID actual viewing duration/all video ID actual viewing duration.
By adopting the technical scheme, the audience rating of a certain video is calculated according to the video ID, the related data is not easy to lose, and the result is more accurate.
Further, the calculating of the audience rating comprises the following steps:
calculating the audience rating of the segmented video: segmented video audience rating = actual viewing duration of the segmented video/actual viewing duration of the video ID.
By adopting the technical scheme, the segmented video audience rating is obtained, the audience rating is accurately calculated to a certain segment of the video, and the highlight segment can be recommended to a user or the user can search for the highlight segment at the later stage conveniently.
The second aspect of the present invention provides an OTT video audience rating analyzing device based on DPI, where the device includes:
the system comprises a memory and a processor, wherein the memory is provided with at least one instruction, and the at least one instruction is loaded and executed by the processor so as to realize the method.
A third aspect of the invention provides a computer-readable storage medium having stored thereon at least one instruction, which is loaded and executed by a processor, to implement the above-described method.
In conclusion, the invention has the following beneficial effects:
1. the duration of the actual transmission flow of the user is obtained through DPI data and is used as the actual watching duration, the duration of the video opened by the user is not counted, the situations of advertisements, user pause and the like are eliminated, and the obtained OTT audience rating is more accurate;
2. the data screening can prevent repeated statistics, so that the audience rating is calculated more accurately;
3. the data stream is processed in a grouping mode, so that repeated data can be found conveniently, uniform processing can be performed on the same type of data conveniently, and the calculation efficiency is improved;
4. the message accumulated time and the data accumulated time are respectively calculated, the actual watching time is counted in various modes, numerical errors caused by data loss are prevented, and the fault tolerance rate is improved.
Description of the drawings:
in order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a first embodiment of an OTT video audience rating analysis method based on DPI according to the present invention;
FIG. 2 is a schematic diagram of a second embodiment of a DPI-based OTT video audience rating analysis method according to the present invention;
FIG. 3 is a schematic diagram of a third embodiment of a DPI-based OTT video audience rating analysis method according to the present invention;
fig. 4 is a schematic diagram of the composition of video data according to the present invention.
The specific implementation mode is as follows:
the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
The present invention will be described in detail below by way of examples.
Some concepts to which the present application relates are explained below:
DPI (Deep Packet Inspection): the method is a deep detection technology based on data packets, carries out deep detection aiming at different network application layer loads (such as HTTP, DNS and the like), and determines the legality of the message by detecting the payload of the message. The DPI equipment can perform filtering control on the detected flow according to a predefined strategy by detecting and analyzing the flow and the message content at the key point of the network, and can complete functions of fine service identification, service flow direction analysis, service flow ratio statistics, service ratio shaping, application layer denial of service attack, filtering of viruses and trojans, abuse of P2P and the like of the link where the DPI equipment is located.
Ott (Over The Top): the method refers to that an internet company crosses operators to develop various video and data service services based on the open internet. The issuing of 181 number files of the national broadcast and film television bureau marks the establishment of a Chinese manageable and controllable OTT mode, the OTT can be managed and controlled through a license plate mode, an integrated license plate party approved by the radio and television bureau is responsible for providing content broadcast control, the Internet television is completely bound with a license plate party client, and the client is controlled and managed through an integrated broadcast control platform of the license plate party.
3. Flow: a TCP or UDP connection. The minimum stream is the stream with the earliest viewing time by the user; the largest stream is the stream that is viewed by the user with the latest time.
4. Video slicing: a video file is cut into multiple ts formatted video slices.
5. Segmenting the video: a video file is divided into a plurality of segmented videos, each segmented video being divided into a plurality of video slices in the ts format.
In order to better understand the technical scheme, the technical scheme is described in detail in the following with reference to the attached drawings of the specification and specific embodiments.
Specifically, referring to fig. 1, the present invention provides a DPI-based OTT video audience rating analysis method, which includes the following steps:
s100, acquiring data: acquiring data including each video ID by using DPI equipment; the video ID, e.g., v0032wi2vx9 (Tencent video ID), is parsed from the URI that obtained the video slice data using a DPI device.
S400, counting the time length: removing the interval duration of the stream, and counting the actual watching duration of the same video;
s500, calculating the audience rating: the rating of each video is calculated.
By adopting the technical scheme, the duration of the actual transmission flow of the user is obtained through the DPI data and is used as the actual watching duration, the duration of opening the video by the user is not counted, the situations of advertisements, user pause and the like are eliminated, the obtained OTT audience rating is more accurate, the audience rating survey is comprehensive, and the result is more accurate.
Referring to fig. 2 and 3, in a preferred embodiment of the present invention, the OTT video audience rating analyzing method based on DPI further includes the following steps:
s200, data grouping: and S210, grouping the acquired data according to the video ID and the user account.
In a preferred embodiment of the present invention, the acquired data is further classified according to the video playing type. The video playing types comprise modes of on-demand, live broadcasting, review and the like.
By adopting the technical scheme, the data stream is processed in groups, so that repeated data can be conveniently found, the same type of data can be conveniently processed in a unified manner, and the calculation efficiency is improved.
In a preferred embodiment of the present invention, the s200. Data packet further includes the following steps:
s220, sorting according to the sequence of the streams, dividing the adjacent streams into different groups when the interval of the adjacent streams is larger than a threshold value. The threshold value can be set to be 30min, and the interval time exceeds 30min, and the different groups are divided.
By adopting the technical scheme, the interval time is convenient to remove, the relatively centralized watching is convenient to be uniformly processed, and the calculation efficiency and the calculation precision are submitted.
In a preferred embodiment of the present invention, the OTT video audience rating analyzing method based on DPI further includes the following steps:
s300, data screening: in the same group of data, there are a plurality of data in the same video ID, and only one data is reserved.
By adopting the technical scheme, the same group of data is data of a certain video of all platforms watched by a User within a period of time under a certain account, the platforms comprise different types such as android, ios, PC, television boxes and the like, and the platform type is analyzed from the obtained video fragment data and the User-Agent field in the log reported data; each device has a unique number, and the unique number of the user device is analyzed from the Idfa oaid guid field of the reported data of the user log. If there are multiple data, it means that the same video is watched by multiple platforms or devices at the same time, so as to form repeated statistics.
In a preferred embodiment of the present invention, the s300. Data screening comprises the following steps:
s310, judging whether multiple data of the same video exist in the same group of data, if so, S320, comparing the multiple data and keeping the data with the maximum duration value.
By adopting the technical scheme, the longest value of the watching time is used as the reserved data, so that the reserved watching time covers the time length of the time in other equipment, and the calculation result is more accurate.
In a preferred embodiment of the present invention, the s400. Counting the time duration includes the following steps:
s410, calculating the accumulated time length T of the data data ：T data End _ t-start _ t, where start _ t is the minimum stream start time and end _ t is the maximum stream start time end _ t; the time from the beginning time to the end time of each stream is very short, about 1 second, the length of the maximum stream is cut off, and repeated counting is effectively avoidedAnd only the starting time of each stream needs to be acquired and stored, so that the occupation of computing resources is reduced, and the utilization rate of the resources is improved.
S420, calculating the accumulated time length T of the message pcap ：
Wherein
Wherein, Δ T i For each segment of the video-viewing duration, end i For the end time of each video slice, start i For the start time of each video slice.
Referring to FIG. 4, Δ t m The watching time length of the mth video slice of a certain segmented video of a certain video is the end time end of the video slice m Minus the start time start m ，ΔT n The watching time length of the nth subsection video of a certain video is the sum of the watching time lengths of all video slices in the range, T pcap The message accumulation time length of a certain video is the sum of the watching time lengths of all the segmented videos of the video.
S430, calculating the actual watching time length T: t = MAX (Tdata, tpcap), where Tdata is a data accumulation duration, and Tpcap is a packet accumulation duration.
By adopting the technical scheme, the message accumulated time and the data accumulated time are respectively calculated, the actual watching time is counted in various modes, the numerical value error caused by data loss is prevented, and the fault tolerance rate is improved.
Referring to fig. 3, in a preferred embodiment of the present invention, the s500. Calculating the audience share includes the steps of:
s510, calculating the video ID audience rating: video ID rating = video ID actual viewing duration/all video ID actual viewing duration.
By adopting the technical scheme, the audience rating of a certain video is calculated according to the video ID, the related data is not easy to lose, and the result is more accurate.
In a preferred embodiment of the present invention, the step of calculating the audience rating comprises the steps of:
s520, calculating the audience rating of the segmented video: segmented video rating = actual viewing duration of the segmented video/actual viewing duration of the video ID.
By adopting the technical scheme, the segmented video audience rating is obtained, the audience rating is accurately calculated to a certain segment of the video, and the highlight segment is conveniently recommended to a user at a later stage or the user searches for the highlight segment by himself.
Based on the same inventive concept, the invention provides OTT video audience rating analysis equipment based on DPI, which comprises:
the system comprises a memory and a processor, wherein the memory is provided with at least one instruction, and the at least one instruction is loaded and executed by the processor to realize the method.
Based on the same inventive concept, the present invention provides a computer-readable storage medium, on which at least one instruction is stored, and the at least one instruction is loaded and executed by a processor to implement the above method.
Those of ordinary skill in the art will appreciate that the various illustrative algorithmic steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or as a combination of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways.
It should be understood that in the embodiments of the present application, the technical problems described above can be solved by combining and combining the features of the embodiments and the embodiments.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (6)
1. A OTT video audience rating analysis method based on DPI is characterized by comprising the following steps:
acquiring data: acquiring data including each video ID by using DPI equipment;
counting the time length: removing the interval duration of the stream, and counting the actual watching duration of the same video;
calculating the audience rating: calculating the audience rating of each video;
further comprising the steps of:
and (3) screening data: the same video ID in the same group of data has a plurality of data, and only one data is reserved;
the data screening comprises the following steps:
judging whether multiple data of the same video exist in the same group of data, if so, comparing the multiple data, and keeping the data with the maximum time length value;
data grouping: grouping the acquired data according to the video ID and the user account;
sorting according to the flow sequence, and dividing adjacent flows into different groups when the interval of the adjacent flows is larger than a threshold value.
2. The DPI-based OTT video audience rating analysis method of claim 1, wherein: the statistical duration comprises the following steps:
calculating a data accumulation time Tdata: tdata = end _ t-start _ t, where start _ t is the minimum stream start time and end _ t is the maximum stream start time end _ t;
calculating the message accumulation time length Tpcap:
wherein
Wherein, Δ Ti is the video viewing time length of each segment, endi is the ending time of each video segment, and starti is the starting time of each video segment.
3. The DPI-based OTT video audience rating analysis method of claim 2, wherein: the calculating of the audience rating comprises the following steps:
calculating the video ID audience rating: video ID rating = video ID actual viewing duration/all video ID actual viewing duration.
4. The DPI-based OTT video audience rating analysis method of claim 2, wherein: the calculating of the audience rating comprises the following steps:
calculating the audience rating of the segmented video: segmented video rating = actual viewing duration of the segmented video/actual viewing duration of the video ID.
5. An OTT video audience rating analyzing apparatus based on DPI, the apparatus comprising:
a memory and a processor, the memory having at least one instruction thereon, the at least one instruction being loaded and executed by the processor to implement the method for rating OTT video over DPI as claimed in any of claims 1-4.
6. A computer-readable storage medium having stored thereon at least one instruction, the at least one instruction being loaded and executed by a processor to implement the DPI-based OTT video rating analysis method of any of claims 1-4.
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| CN109982068A (en) * | 2017-12-28 | 2019-07-05 | 中国移动通信集团福建有限公司 | Synthetic video method for evaluating quality, device, equipment and medium |
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| CN101639880A (en) * | 2008-07-31 | 2010-02-03 | 华为技术有限公司 | File test method and device |
| US8201220B2 (en) * | 2008-12-23 | 2012-06-12 | Qwest Communications International Inc. | Network user usage profiling |
| TW201613364A (en) * | 2014-09-19 | 2016-04-01 | Probrain Technology Inc | Real-time viewing evaluation system and method of television live programs |
| CN108540857B (en) * | 2018-04-13 | 2021-05-04 | 中广热点云科技有限公司 | Television audience rating and user preference control method and system based on mobile phone remote controller |
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| CN101355686A (en) * | 2008-09-24 | 2009-01-28 | 中辉世纪传媒发展有限公司 | Method and system for statistic of audience rating |
| CN109982068A (en) * | 2017-12-28 | 2019-07-05 | 中国移动通信集团福建有限公司 | Synthetic video method for evaluating quality, device, equipment and medium |
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Address after: Room 218, 2nd Floor, Building A, No. 119 West Fourth Ring North Road, Haidian District, Beijing, 100000 Patentee after: HAOHAN DATA TECHNOLOGY CO.,LTD. Address before: 102, building 14, 45 Beiwa Road, Haidian District, Beijing Patentee before: HAOHAN DATA TECHNOLOGY CO.,LTD. |