CN106961632B - Video quality analysis method and device - Google Patents
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- CN106961632B CN106961632B CN201710237442.1A CN201710237442A CN106961632B CN 106961632 B CN106961632 B CN 106961632B CN 201710237442 A CN201710237442 A CN 201710237442A CN 106961632 B CN106961632 B CN 106961632B
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- 238000013441 quality evaluation Methods 0.000 claims abstract description 33
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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44204—Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched
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- H—ELECTRICITY
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Abstract
The invention provides a video quality analysis method and a video quality analysis device, wherein the method comprises the following steps: acquiring signaling data of mobile communication performed by a user terminal when video resources are played from a mobile communication operator; acquiring the identity information of a content provider providing the video resource according to the signaling data, and matching a corresponding identification rule according to the identity information of the content provider; analyzing the signaling data according to the identification rule, and extracting the data of the video quality data point reported to the content provider by the user terminal in the signaling data; and calculating to obtain video quality evaluation parameters according to the data of the video quality data points. Compared with the mode of analyzing the video quality by aiming at the media stream in the prior art, the method provided by the invention is universal to the video data in different formats, has strong applicability and high accuracy and is simple to implement.
Description
Technical Field
The invention relates to the technical field of mobile communication, in particular to a video quality analysis method and device.
Background
With the continuous improvement and development of mobile communication technology, the service of video online playing through mobile communication is also rapidly developed, and the traffic ratio and importance of the video playing service in the mobile communication service are continuously improved. In order to ensure that a user can obtain a high-quality video playing service, the quality of online video playing needs to be detected. In the prior art, a method for analyzing the quality of a mobile communication video generally analyzes a media stream, is difficult to identify when facing various coding modes, has high analysis cost, and is difficult to effectively analyze due to different service logics of broadcasters of different video content providers. Furthermore, the prior art analysis method does not support the P2P mode.
Disclosure of Invention
In order to overcome the above-mentioned deficiencies in the prior art, the present invention provides a video quality analysis method, comprising:
acquiring signaling data of mobile communication performed by a user terminal when video resources are played from a mobile communication operator;
acquiring identity information of a content provider providing the video resource according to the signaling data, and matching a corresponding identification rule according to the identity information of the content provider, wherein the identification rule comprises a plurality of video quality data points;
analyzing the signaling data according to the identification rule, and extracting the data of the video quality data point reported to the content provider by the user terminal in the signaling data;
and calculating to obtain video quality evaluation parameters according to the data of the video quality data points, wherein the video quality evaluation parameters comprise initial playing loading time, playing time, pause time, dragging time, total waiting time and effective playing time.
Further, in the above method, the step of obtaining signaling data of mobile communication of the user terminal when the video resource is played includes:
acquiring flow data of mobile communication of a user terminal when video resources are played;
and acquiring the signaling data from the traffic data through a deep packet inspection technology.
Further, in the above method, the step of obtaining the identity information of the content provider providing the video resource according to the signaling data includes:
and analyzing and obtaining the domain name of the website providing the video resource according to the signaling data, and using the domain name as the identity information of the content provider.
Further, in the above method, the method further comprises:
according to video quality evaluation parameters acquired from a plurality of user terminals within a preset time period, calculating and acquiring video quality statistical parameters of different content providers within the preset time period, wherein the video quality statistical parameters comprise the number of concurrent users, concurrent playing, concurrent blocking number, concurrent failure number, playing success rate, average playing loading time, average blocking number, average dragging time and average waiting time corresponding to each content provider.
Further, in the above method, the method further comprises:
and obtaining video quality evaluation parameters of a plurality of user terminals in a preset time from the designated area, and calculating to obtain the area video quality parameters of the designated area.
Further, in the above method, the method further comprises:
capturing interactive signaling data between the user terminal and a content provider in an analog video playing scene, wherein the analog video playing scene comprises events occurring in the analog video playing process;
and determining the video quality data points according to the simulated events and the captured signaling data.
The present invention also provides a video quality analysis apparatus, the apparatus comprising:
the acquisition module is used for acquiring signaling data of the mobile communication of the user terminal when the video resources are played from a mobile communication operator;
the matching module is used for obtaining the identity information of a content provider providing the video resource according to the signaling data and matching a corresponding identification rule according to the identity information of the content provider, wherein the identification rule comprises a plurality of video quality data points;
the identification module is used for analyzing the signaling data according to the identification rule and extracting the data of the video quality data point reported to the content provider by the user terminal in the signaling data;
and the calculation module is used for calculating and obtaining video quality evaluation parameters according to the data of the video quality data points, wherein the video quality evaluation parameters comprise initial playing loading time, playing time, pause time, dragging time, total waiting time and effective playing time.
Further, in the above apparatus, the obtaining module includes:
the flow acquisition submodule is used for acquiring the flow data of the mobile communication of the user terminal when the video resource is played;
and the deep detection submodule is used for acquiring the signaling data from the flow data through a deep packet detection technology.
Further, in the above apparatus, the apparatus further comprises:
the first statistical module is used for calculating and obtaining video quality statistical parameters of different content providers in a preset time period according to video quality evaluation parameters obtained from a plurality of user terminals in the preset time period, wherein the video quality statistical parameters comprise the number of concurrent users, concurrent playing, concurrent stuck number, concurrent failure number, playing success rate, average playing loading time, average stuck number, average dragging time and average waiting time corresponding to each content provider.
Further, in the above apparatus, the apparatus further comprises:
and the second statistical module is used for obtaining the video quality evaluation parameters of the user terminals in the preset time from the designated area and calculating the area video quality parameters of the designated area.
Another object of the present invention is to provide
Compared with the prior art, the invention has the following beneficial effects:
according to the video quality analysis method and device provided by the invention, the video quality data points uploaded to the content provider by the user terminal in the process of playing the mobile communication video are captured by the user terminal to analyze and judge the video playing quality. Compared with the mode of analyzing the video quality by aiming at the media stream in the prior art, the method provided by the invention is universal to the video data in different formats, has strong applicability and high accuracy and is simple to implement.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic diagram of an application environment of a data processing terminal according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a data processing terminal according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a video quality analysis method according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a video quality analysis apparatus according to an embodiment of the present invention.
Icon: 100-a data processing terminal; 110-video quality analysis means; 111-an acquisition module; 112-a matching module; 113-an identification module; 114-a calculation module; 120-a memory; 130-a processor; 140-a communication unit; 200-mobile communication operator; 300-a user terminal; 400-content provider.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Fig. 1 is a schematic view of an application scenario of the data processing terminal 100 for performing video quality analysis according to the preferred embodiment of the present invention. The data processing terminal 100 obtains signaling data of interaction between the user terminal 300 and the content provider 400 during video playing from the mobile communication operator 200, and analyzes the signaling data to obtain a video quality evaluation parameter to characterize the video playing quality.
Fig. 2 is a block diagram of the data processing terminal 100 shown in fig. 1. The data processing terminal 100 includes a video quality analysis device 110, a memory 120, a processor 130, and a communication unit 140.
The elements of the memory 120, the processor 130 and the communication unit 140 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The video quality analysis apparatus 110 includes at least one software function module that may be stored in the memory 120 in the form of software or firmware (firmware) or solidified in an Operating System (OS) of the data processing terminal 100. The processor 130 is used for executing executable modules stored in the memory 120, such as software functional modules and computer programs included in the video quality analysis device 110.
The Memory 120 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 120 is used for storing a program, and the processor 130 executes the program after receiving the execution instruction.
The communication unit 140 is configured to establish a communication connection between the data processing terminal 100 and the mobile communication carrier 200.
It should be noted that the data processing terminal 100 may also be a distributed data processing system composed of a plurality of electronic terminals.
Referring to fig. 3, fig. 3 is a flowchart of a video quality analysis method applied to the data processing terminal 100 shown in fig. 1, and the method including various steps will be described in detail below.
Step S110 is to obtain signaling data of the user terminal 300 performing mobile communication when playing the video resource from the mobile communication carrier 200.
The user terminal 300 performs data interaction with a content provider 400 (CP) providing video resources while performing online video playing, and data interacted between the user terminal 300 and the content provider 400 may be obtained from a mobile communication carrier 200 providing mobile communication services. In this embodiment, the data processing terminal 100 obtains signaling data for performing mobile communication when the user terminal 300 plays a video from the mobile communication carrier 200.
Specifically, in this embodiment, the data processing terminal 100 obtains traffic data of mobile communication of the user terminal 300 when playing the video resource, and obtains the signaling data from the traffic data through Deep Packet Inspection (DPI).
Step S120, obtaining the identity information of the content provider 400 providing the video resource according to the signaling data, and matching a corresponding identification rule according to the identity information of the content provider 400, where the identification rule includes a plurality of video quality data points.
Since the types of the video quality data points of different content providers 400 are different in the data interaction process, in this embodiment, the identification information of the content provider 400 providing the video resource is obtained by analyzing the signaling data, and the video quality data points in the signaling data are identified by matching the corresponding identification rule according to the identification information of the content provider 400.
Specifically, in this embodiment, the data processing terminal 100 obtains a domain name of a website that provides a video resource according to the signaling data, and uses the domain name as the identity information of the content provider 400.
In this embodiment, the identification rule may be obtained from the content provider 400, or may be obtained by analyzing interaction data between the user terminal 300 and the content provider 400 for simulating an event in video playing for a video playing scene.
Specifically, the video quality data point is determined according to the corresponding relationship between the simulated event and the captured signaling data by capturing signaling data interacted between the user terminal 300 and the content provider 400 in a simulated video playing scene, wherein the simulated video playing scene includes the event occurring in the simulated video playing process.
Step S130, parsing the signaling data according to the identification rule, and extracting data of the video quality data point reported by the user terminal 300 to the content provider 400 in the signaling data.
Specifically, the data processing terminal 100 parses the signaling data according to the identification rule, captures data of the video quality data point reported by the user terminal 300 to the content provider 400, and the capture process may finish extraction of the core element mainly based on a stream processing technique and a multithreading technique, and form list data of a request and a response in an interaction process between the user terminal 300 and the content provider 400, and may finish data storage mainly by using a distributed storage system HDFS.
Step S140, calculating according to the data of the video quality data points to obtain video quality evaluation parameters, wherein the video quality evaluation parameters comprise initial playing loading time, playing time, pause time, dragging time, total waiting time and effective playing time.
In this embodiment, the video quality evaluation parameters of different content providers 400 all include an initial playing loading duration, a playing duration, a pause duration, a dragging duration, a total waiting duration, and an effective playing duration. But since the types of video quality data points obtained from different content providers 400 may be different, the manner of calculating the video quality rating parameter may also be different.
Take two content providers 400 in practical applications as an example:
the video quality evaluation parameters are calculated in the following manner, as different from the video quality data points acquired from the content provider a and the content provider B.
Based on the design, the video quality analysis method provided by the embodiment can intuitively and accurately reflect the quality of online video playing by obtaining the video quality evaluation parameters according to the steps.
Further, in this embodiment, the data processing terminal 100 may further calculate and obtain video quality statistical parameters of different content providers 400 in a preset time period according to video quality evaluation parameters obtained from multiple user terminals 300 in the preset time period, where the video quality statistical parameters include the number of concurrent users, concurrent playing, the number of concurrent stutter, the number of concurrent failures, a playing success rate, an average playing loading duration, an average number of concurrent stutter, an average dragging duration, and an average waiting duration corresponding to each content provider 400.
Specifically, the definition of the video command statistical parameter can be shown in the following table.
Based on the design, the mobile communication traffic can be reflected through the number of the concurrent users, the concurrent playing, the concurrent card pause number, the concurrent failure number and the playing success rate, and the mobile communication trend analysis and the fluctuation alarm are carried out. The overall quality of the video resources provided by the content provider 400 may be reflected by the average play load duration, the average number of clicks, the average drag duration, and the average wait duration. In summary, according to the video quality statistical parameter, service optimization can be facilitated for the mobile communication operator 200 or the content provider 400.
Further, in this embodiment, the data processing terminal 100 may further obtain video quality evaluation parameters of a plurality of user terminals 300 in a preset time from a specified area, and calculate to obtain an area video quality parameter of the specified area.
For example, the data processing terminal 100 may obtain statistics of video playing times of the ue 300 covered by each mobile station within 5 minutes, and thus may be used to reflect communication quality of different mobile stations.
Referring to fig. 4, an embodiment further provides a video quality analysis apparatus 110 applied to the data processing terminal 100 shown in fig. 1, the apparatus including: an acquisition module 111, a matching module 112, a recognition module 113 and a calculation module 114.
An obtaining module 111, configured to obtain signaling data of the user terminal 300 performing mobile communication when playing the video resource from the mobile communication operator 200. In this embodiment, the obtaining module 111 may be configured to execute step S110 shown in fig. 3, and reference may be made to the description of step S110 for a detailed description of the obtaining module 111.
Further, in this embodiment, the obtaining module 111 includes: a flow obtaining submodule and a depth detection submodule.
The traffic obtaining sub-module is configured to obtain traffic data of the mobile communication of the user terminal 300 when the video resource is played.
And the deep detection submodule is used for acquiring the signaling data from the flow data through a deep packet detection technology.
The matching module 112 is configured to obtain the identity information of the content provider 400 providing the video resource according to the signaling data, and match a corresponding identification rule according to the identity information of the content provider 400, where the identification rule includes a plurality of video quality data points. In this embodiment, the matching module 112 may be configured to execute the step S120 shown in fig. 3, and the detailed description about the matching module 112 may refer to the description about the step S120.
The identifying module 113 is configured to parse the signaling data according to the identifying rule, and extract the data of the video quality data point reported by the user terminal 300 to the content provider 400 in the signaling data. In this embodiment, the identification module 113 may be configured to execute the step S130 shown in fig. 3, and the detailed description about the identification module 113 may refer to the description about the step S130.
A calculating module 114, configured to calculate and obtain video quality evaluation parameters according to the data of the video quality data point, where the video quality evaluation parameters include an initial playing loading duration, a playing duration, a pause duration, a dragging duration, a total waiting duration, and an effective playing duration. In this embodiment, the calculating module 114 can be used to execute the step S140 shown in fig. 3, and the detailed description about the calculating module 114 can refer to the description about the step S140.
Further, in this embodiment, the apparatus further includes a first statistical module.
The first statistical module is configured to calculate and obtain video quality statistical parameters of different content providers 400 in a preset time period according to video quality evaluation parameters obtained from multiple user terminals 300 in the preset time period, where the video quality statistical parameters include the number of concurrent users, concurrent plays, the number of concurrent hitches, the number of concurrent failures, the play success rate, the average play loading duration, the average hitching times, the average dragging duration, and the average waiting duration corresponding to each content provider 400.
Further, in this embodiment, the apparatus further includes a second statistical module.
The second statistical module is configured to obtain video quality evaluation parameters of the plurality of user terminals 300 in a preset time from the designated area, and calculate to obtain area video quality parameters of the designated area.
In summary, the video quality analysis method and apparatus provided by the present invention analyze and determine the quality of video playing by capturing the video quality data points uploaded to the content provider 400 by the user terminal 300 during the process of playing the mobile video by the user terminal 300. Compared with the mode of analyzing the video quality by aiming at the media stream in the prior art, the method provided by the invention is universal to the video data in different formats, has strong applicability and high accuracy and is simple to implement.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules 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.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A method of video quality analysis, the method comprising:
acquiring signaling data of mobile communication performed by a user terminal when video resources are played from a mobile communication operator;
acquiring identity information of a content provider providing the video resource according to the signaling data, and matching a corresponding identification rule according to the identity information of the content provider, wherein the identification rule comprises a corresponding relation between a plurality of video quality data points and the content provider; the video quality data points represent a calculation mode of video quality evaluation parameters and basic parameters of the video quality evaluation parameters;
analyzing the signaling data according to the identification rule, and extracting the data of the video quality data point reported to the content provider by the user terminal in the signaling data;
and calculating to obtain the video quality evaluation parameters according to the data of the video quality data points, wherein the video quality evaluation parameters comprise initial playing loading time, playing time, pause time, dragging time, total waiting time and effective playing time.
2. The method according to claim 1, wherein the step of obtaining signaling data of mobile communication performed by the ue while playing the video resource comprises:
acquiring flow data of mobile communication of a user terminal when video resources are played;
and acquiring the signaling data from the traffic data through a deep packet inspection technology.
3. The method according to claim 1, wherein the step of obtaining identity information of a content provider providing the video resource according to the signaling data comprises:
and analyzing and obtaining the domain name of the website providing the video resource according to the signaling data, and using the domain name as the identity information of the content provider.
4. The method of claim 1, further comprising:
according to video quality evaluation parameters acquired from a plurality of user terminals within a preset time period, calculating and acquiring video quality statistical parameters of different content providers within the preset time period, wherein the video quality statistical parameters comprise the number of concurrent users, concurrent playing, concurrent blocking number, concurrent failure number, playing success rate, average playing loading time, average blocking number, average dragging time and average waiting time corresponding to each content provider.
5. The method of claim 1, further comprising:
and obtaining video quality evaluation parameters of a plurality of user terminals in a preset time from the designated area, and calculating to obtain the area video quality parameters of the designated area.
6. The method of claim 1, further comprising:
capturing interactive signaling data between the user terminal and a content provider in an analog video playing scene, wherein the analog video playing scene comprises events occurring in the analog video playing process;
and determining the video quality data points according to the simulated events and the captured signaling data.
7. A video quality analysis apparatus, characterized in that the apparatus comprises:
the acquisition module is used for acquiring signaling data of the mobile communication of the user terminal when the video resources are played from a mobile communication operator;
the matching module is used for obtaining the identity information of a content provider providing the video resource according to the signaling data and matching a corresponding identification rule according to the identity information of the content provider, wherein the identification rule comprises the corresponding relation between a plurality of video quality data points and the content provider; the video quality data points represent a calculation mode of video quality evaluation parameters and basic parameters of the video quality evaluation parameters;
the identification module is used for analyzing the signaling data according to the identification rule and extracting the data of the video quality data point reported to the content provider by the user terminal in the signaling data;
and the calculating module is used for calculating and obtaining the video quality evaluation parameters according to the data of the video quality data points, wherein the video quality evaluation parameters comprise initial playing loading time, playing time, pause time, dragging time, total waiting time and effective playing time.
8. The apparatus of claim 7, wherein the obtaining module comprises:
the flow acquisition submodule is used for acquiring the flow data of the mobile communication of the user terminal when the video resource is played;
and the deep detection submodule is used for acquiring the signaling data from the flow data through a deep packet detection technology.
9. The apparatus of claim 7, further comprising:
the first statistical module is used for calculating and obtaining video quality statistical parameters of different content providers in a preset time period according to video quality evaluation parameters obtained from a plurality of user terminals in the preset time period, wherein the video quality statistical parameters comprise the number of concurrent users, concurrent playing, concurrent stuck number, concurrent failure number, playing success rate, average playing loading time, average stuck number, average dragging time and average waiting time corresponding to each content provider.
10. The apparatus of claim 7, further comprising:
and the second statistical module is used for obtaining the video quality evaluation parameters of the user terminals in the preset time from the designated area and calculating the area video quality parameters of the designated area.
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| CN111327964B (en) * | 2018-12-17 | 2022-11-25 | 中国移动通信集团北京有限公司 | Method and device for positioning video playing pause |
| CN112039680A (en) * | 2019-06-03 | 2020-12-04 | 中兴通讯股份有限公司 | Video service processing method, system and device |
| CN113010797B (en) * | 2021-04-15 | 2022-04-12 | 贵州华泰智远大数据服务有限公司 | Smart city data sharing method and system based on cloud platform |
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