CN112153421A - Data processing method, device, system, electronic equipment and storage medium - Google Patents

Data processing method, device, system, electronic equipment and storage medium Download PDF

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Publication number
CN112153421A
CN112153421A CN202011010595.0A CN202011010595A CN112153421A CN 112153421 A CN112153421 A CN 112153421A CN 202011010595 A CN202011010595 A CN 202011010595A CN 112153421 A CN112153421 A CN 112153421A
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China
Prior art keywords
teacher
target
information
recorded
course
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CN202011010595.0A
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Chinese (zh)
Inventor
金文俊
郑伟健
毛从雅
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Hangzhou Hikvision System Technology Co Ltd
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Hangzhou Hikvision System Technology Co Ltd
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Priority to CN202011010595.0A priority Critical patent/CN112153421A/en
Publication of CN112153421A publication Critical patent/CN112153421A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/433—Content storage operation, e.g. storage operation in response to a pause request, caching operations
    • H04N21/4334—Recording operations
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B5/00—Electrically-operated educational appliances
    • G09B5/06—Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
    • G09B5/065—Combinations of audio and video presentations, e.g. videotapes, videodiscs, television systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/239—Interfacing the upstream path of the transmission network, e.g. prioritizing client content requests
    • H04N21/2393—Interfacing the upstream path of the transmission network, e.g. prioritizing client content requests involving handling client requests
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/432—Content retrieval operation from a local storage medium, e.g. hard-disk
    • H04N21/4325—Content retrieval operation from a local storage medium, e.g. hard-disk by playing back content from the storage medium
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44213—Monitoring of end-user related data
    • H04N21/44218—Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program

Abstract

The application provides a data processing method, a device, a system, an electronic device and a storage medium, wherein the method comprises the following steps: determining a target teacher camera and a target recording and broadcasting host according to the classroom information of the to-be-recorded and broadcasting course; acquiring face acquisition data of a target teacher according to the information of the program of the to-be-recorded and broadcast course; determining teaching teacher information of the to-be-recorded and broadcast course according to the face acquisition data of the target teacher; sending a video stream acquisition task to a central storage device so that the central storage device acquires video data in a target time period from a target recording and broadcasting host; receiving video resource information returned by the central storage equipment; and creating recorded course video resources corresponding to the to-be-recorded course according to the teaching teacher information of the to-be-recorded course and the video resource information. The method can realize automatic course recording and improve course recording efficiency.

Description

Data processing method, device, system, electronic equipment and storage medium
Technical Field
The present application relates to the technical field of education informatization, and in particular, to a data processing method, apparatus, system, electronic device, and storage medium.
Background
The course recording means acquiring video data of classroom information, including omnibearing recording of teacher pictures, teacher teaching content PPT and student pictures, realizing real recording of classroom scenes, and playing back the classroom scenes when needed.
The traditional course recording mode needs a teacher to manually complete the functions of course creation and course reservation in advance in a teaching, recording and broadcasting platform, and the operation of course recording realization is more complicated and the efficiency is lower.
Disclosure of Invention
In view of the above, the present application provides a data processing method, apparatus, system, electronic device and storage medium.
According to a first aspect of embodiments of the present application, there is provided a data processing method, including:
determining a target teacher camera and a target recording and broadcasting host according to the classroom information of the to-be-recorded and broadcasting course;
acquiring face acquisition data of a target teacher according to the information of the program of the to-be-recorded and broadcast course; determining teaching teacher information of the to-be-recorded and broadcast course according to the face acquisition data of the target teacher;
sending a video stream acquisition task to a central storage device so that the central storage device acquires video data in a target time period from a target recording and broadcasting host;
receiving video resource information returned by the central storage equipment;
creating recorded course video resources corresponding to the to-be-recorded course according to the teaching teacher information of the to-be-recorded course and the video resource information;
the target teacher face acquisition data is teacher face acquisition data sent by the target teacher camera in a target time period, the video stream acquisition task comprises the target time period and address information of the target recording and broadcasting host, and the target time period is a time period corresponding to the order information.
According to a second aspect of embodiments of the present application, there is provided a data processing apparatus comprising:
the determining unit is used for determining a target teacher camera and a target recording and broadcasting host according to the classroom information of the curriculum to be recorded and broadcasted;
the acquisition unit is used for acquiring the face acquisition data of a target teacher according to the information of the program of the to-be-recorded and broadcast course;
the determining unit is further used for determining teaching teacher information of the to-be-recorded and broadcast course according to the target teacher face acquisition data;
the communication unit is used for sending a video stream acquisition task to the central storage equipment so that the central storage equipment can acquire video data in a target time period from the target recording and broadcasting host;
the communication unit is also used for receiving the video resource information returned by the central storage equipment;
the creating unit is used for creating recorded course video resources corresponding to the to-be-recorded course according to the teaching teacher information of the to-be-recorded course and the video resource information;
the target teacher face acquisition data is teacher face acquisition data sent by the target teacher camera in a target time period, the video stream acquisition task comprises the target time period and address information of the target recording and broadcasting host, and the target time period is a time period corresponding to the order information.
According to a third aspect of embodiments herein, there is provided a data processing system, the system comprising: the system comprises an education management platform, at least one teacher camera, at least one recording and broadcasting host and at least one central storage device;
the teacher camera sends teacher face acquisition data to the education management platform when recognizing the teacher face by using a face recognition mode;
the education management platform determines a target teacher camera and a target recording and broadcasting host according to the classroom information of the to-be-recorded and broadcasting course; acquiring face acquisition data of a target teacher according to the information of the program of the to-be-recorded and broadcast course; determining teaching teacher information of the to-be-recorded and broadcast course according to the face acquisition data of the target teacher; sending a video stream acquisition task to the central storage device, and receiving video resource information sent by the central storage device; creating recorded course video resources corresponding to the to-be-recorded course according to the teaching teacher information and the video resource information of the to-be-recorded course; the target time period is a time period corresponding to the section information, the target teacher face acquisition data is teacher face acquisition data sent by the target teacher camera in the target time period, and the video stream acquisition task comprises the target time period and address information of the target recording and broadcasting host;
the recording and broadcasting host records video data; when a video stream acquisition request sent by the central storage equipment is received, returning video data corresponding to the video stream acquisition request;
the central storage equipment stores the video data sent by the recording and broadcasting host; and determining video resource information corresponding to the video data.
According to a fourth aspect of the embodiments of the present application, there is provided an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete communication with each other through the communication bus;
a memory for storing a computer program;
a processor for implementing the data processing method of the first aspect when executing the program stored in the memory.
According to a fifth aspect of embodiments of the present application, there is provided a computer-readable storage medium having stored therein a computer program, which when executed by a processor implements the data processing method of the first aspect.
The data processing method of the embodiment of the application, by pre-configuring the program information and the classroom information of the to-be-recorded and broadcast course, and respectively determining a target teacher camera and a target recording and broadcasting host according to the classroom information of the curriculum to be recorded and broadcasted, and acquiring the face acquisition data of the target teacher according to the order information of the curriculum to be recorded and broadcasted, determining the information of the teaching teacher of the curriculum to be recorded and broadcasted according to the face acquisition data of the target teacher, further, sending a video stream acquisition task to the central storage device so that the central storage device acquires video data in a target time period from the target recording and broadcasting host, and receives the video resource information returned by the central storage equipment, and according to the information of the teaching teachers of the courses to be recorded and broadcast, and video resource information is used for creating recorded course video resources corresponding to the to-be-recorded course, so that automatic course recording is realized, and the course recording efficiency is improved.
Drawings
FIG. 1 is a schematic flow chart diagram of a data processing method provided in an exemplary embodiment of the present application;
FIG. 2A is a schematic flow chart illustrating a process for obtaining face collection data of a target teacher according to an exemplary embodiment of the present application;
fig. 2B is a schematic flowchart illustrating a process of determining information of a teaching teacher of a to-be-recorded course according to an exemplary embodiment of the present application;
fig. 3A is a schematic diagram illustrating the effect of a boutique recording and broadcasting classroom provided by an exemplary embodiment of the present application;
fig. 3B is a schematic diagram of a deployment architecture of an intelligent recording and broadcasting host according to an exemplary embodiment of the present application;
FIG. 4A is a flow chart illustrating an implementation of teacher face data collection according to an exemplary embodiment of the present application;
fig. 4B is a schematic flow chart illustrating an implementation of teaching teacher identification according to an exemplary embodiment of the present application;
FIG. 4C is a schematic view of an implementation flow of creation of a competitive curriculum video asset according to an exemplary embodiment of the present application;
FIG. 4D is a flow chart illustrating an implementation of knowledge point identification according to an exemplary embodiment of the present application;
FIG. 5 is a block diagram of a data processing apparatus according to an exemplary embodiment of the present application;
FIG. 6 is a diagram illustrating a hardware configuration of an electronic device according to an exemplary embodiment of the present application;
FIG. 7 is a block diagram of a data processing system according to an exemplary embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application 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.
In order to make the technical solutions provided in the embodiments of the present application better understood and make the above objects, features and advantages of the embodiments of the present application more comprehensible, the technical solutions in the embodiments of the present application are described in further detail below with reference to the accompanying drawings.
Referring to fig. 1, a schematic flow chart of a data processing method provided in an embodiment of the present application is shown, where the data processing method may be applied to a teaching management platform, and as shown in fig. 1, the data processing method may include the following steps:
it should be noted that, the sequence numbers of the steps in the embodiments of the present application do not mean the execution sequence, and the execution sequence of each process should be determined by the function and the inherent logic of the process, and should not constitute any limitation to the implementation process of the embodiments of the present application.
And S100, determining a target teacher camera and a target recording and broadcasting host according to the classroom information of the to-be-recorded and broadcasting course.
Step S110, acquiring the face acquisition data of a target teacher according to the level information of the to-be-recorded and broadcast course, and determining the teaching teacher information of the to-be-recorded and broadcast course according to the face acquisition data of the target teacher.
In the embodiment of the application, in order to implement automatic creation of recorded course video resources, a course (referred to as a to-be-recorded course) that needs to be recorded and broadcast may be preset, and relevant information of the to-be-recorded course may be configured, which may include, but is not limited to, information of the program and classroom information, and the like. Or, relevant information of each course, which may include, but is not limited to, the program information, the classroom information, and the like, may be pre-configured, and a course to be recorded (referred to as a to-be-recorded course herein) is specified from each course.
In the embodiment of the application, the to-be-recorded course represents the course needing to be recorded and broadcast. In one example, the to-be-recorded lesson can be any of a variety of lessons.
Illustratively, the information of the number of the lessons to be recorded is used for representing the class time of the lessons to be recorded, for example, 9:00-9: 45 in 7, 17.7.2020.
The classroom information of the to-be-recorded and broadcast course is used for representing the classroom in which the to-be-recorded and broadcast course is positioned (can be identified by the preset classroom number)
In an embodiment of the application, on one hand, according to the classroom information of the class to be recorded and broadcasted, a teacher camera (referred to as a target teacher camera herein) deployed in a classroom (referred to as a target classroom herein) corresponding to the classroom information and a recording and broadcasting host (referred to as a target recording and broadcasting host herein) associated with the target classroom can be determined.
On the other hand, the start-stop time (i.e., the start time and the end time) of the to-be-recorded course may be determined according to the level information of the to-be-recorded course, the teacher face acquisition data (referred to as target teacher face acquisition data herein) acquired by the target teacher camera in the time period (referred to as target time period herein) corresponding to the start-stop time may be acquired, and the teaching teacher information of the to-be-recorded course may be determined according to the target teacher face acquisition data.
Illustratively, the lecturer information may include, but is not limited to, one or more of teacher name, job number, and face picture.
And step S120, sending a video stream acquisition task to the central storage device so that the central storage device acquires video data in a target time period from the target recording and broadcasting host.
In the embodiment of the application, the video data in the target time period can be acquired by sending the video stream acquisition task to the central storage device.
For example, the video stream acquiring task may carry the start and end times of the to-be-recorded course, the address information of the target recording host, and the like.
When the central storage device receives the video stream acquisition task, the central storage device can acquire video data corresponding to the to-be-recorded and broadcast course based on the video stream acquisition task.
For example, when receiving the video stream acquisition task, the central storage device may send a video stream acquisition request to the target recording and playing host, where the video stream acquisition request carries the start-stop time of the to-be-recorded and played course.
When the target recording and broadcasting host receives the video stream acquisition request, the target recording and broadcasting host can send the video data in the time period (namely the target time period) corresponding to the start-stop time to the central storage device.
When the central storage device receives the video data sent by the target recording and playing host, the video data can be stored, and video resource information corresponding to the video data is determined (the video resource information may include, but is not limited to, information such as a storage path and a video length of the video data).
It should be noted that, when the target recording and playing host stores video data of a plurality of classrooms, the video acquisition task may also carry classroom information of a to-be-recorded and played class, so that when the target recording and playing host receives a video acquisition request, the target recording and playing host may acquire video data of a corresponding classroom (i.e., a target classroom) in a target time period based on the classroom information.
And step S130, receiving the video resource information returned by the central storage equipment.
In the embodiment of the application, in response to receiving the video stream acquisition task, the central storage device can return video resource information corresponding to the video data of the to-be-recorded and played course to the teaching management platform.
It should be noted that, when the teaching management platform has a sufficient storage space, the central storage device may also return the video data of the to-be-recorded and broadcast course to the teaching management platform, and the video data is stored by the teaching management platform, which is not described herein in detail.
Step S140, creating recorded course video resources corresponding to the to-be-recorded course according to the teaching teacher information and the video resource information of the to-be-recorded course.
In the embodiment of the application, recorded course video resources corresponding to the to-be-recorded course can be created according to the determined teaching teacher information of the to-be-recorded course and the obtained video resource information.
In an example, the video resource information is information such as a storage path and a video length of video data, and the video data of the to-be-recorded course may be acquired based on the video resource information, and the recorded course video resource corresponding to the to-be-recorded course may be created based on the acquired video data and the determined teaching teacher information.
Illustratively, the recorded lesson video resources may include, but are not limited to, a lesson start time, a lesson end time, a lesson duration, and the like, in addition to the video data of the lesson to be recorded and the lesson teacher information.
Optionally, the recorded lesson video assets may also include discipline information and knowledge point information.
The subject information may be edited and generated by the administrator or generated according to other policies, and the determination of the knowledge point information may be described below.
In another example, the recorded course video resource corresponding to the to-be-recorded course may include information of a teaching teacher and video resource information (a storage path of video data, a video length, and the like), and a user subscribing to the recorded course video resource may obtain video data of the to-be-recorded course in real time through the client according to the video resource information.
As can be seen, in the method flow shown in fig. 1, by configuring the program information and classroom information of the to-be-recorded course in advance, and respectively determining a target teacher camera and a target recording and broadcasting host according to the classroom information of the curriculum to be recorded and broadcasted, and acquiring the face acquisition data of the target teacher according to the order information of the curriculum to be recorded and broadcasted, determining the information of the teaching teacher of the curriculum to be recorded and broadcasted according to the face acquisition data of the target teacher, further, sending a video stream acquisition task to the central storage device so that the central storage device acquires video data in a target time period from the target recording and broadcasting host, and receives the video resource information returned by the central storage equipment, and according to the information of the teaching teachers of the courses to be recorded and broadcast, and video resource information is used for creating recorded course video resources corresponding to the to-be-recorded course, so that automatic course recording is realized, and the course recording efficiency is improved.
In some embodiments, as shown in fig. 2A, in step S110, obtaining the target teacher face collection data according to the program information of the recorded and broadcast course may be implemented by the following steps:
and step S111a, receiving a teacher face picture reported by the teacher camera, wherein the teacher face picture is sent when the teacher camera recognizes the teacher face by using a face recognition mode.
Step S112a, according to the information of the program to be recorded and broadcasted, the target teacher face picture is obtained from the teacher face picture reported by the target teacher camera.
And step S113a, acquiring the target teacher face acquisition data according to the target teacher face picture.
As shown in fig. 2B, in step S110, determining the information of the lessee giving the lesson to be recorded and broadcasted according to the face collection data of the target teacher, may be implemented by the following steps:
step S111b, counting the times of identification of each teacher according to the data collected by the face of the target teacher; the number of times that the teacher is identified is consistent with the number of teacher face collected data corresponding to the teacher in the target teacher face collected data.
Step S112b, determining teacher information included in the teacher face acquisition data corresponding to the teacher with the largest number of recognized times as the teaching teacher information of the to-be-recorded course.
For example, in order to obtain the teacher face acquisition data, a teacher face picture, such as a teacher face certificate, may be issued in advance to a teacher camera deployed in each classroom.
The teacher cameras deployed in the teachers can store teacher face pictures, the collected face pictures are compared based on the stored teacher face pictures to determine teacher faces, and when the teacher faces are identified, the teacher face pictures are reported to the teaching management platform.
For example, the teacher camera may perform face recognition on the monitored picture according to a preset period (which may be set according to an actual scene, such as 1 second, 5 seconds, etc.).
When recorded and broadcast course video resources need to be created, a teacher camera (namely, a target teacher camera) deployed in a target classroom can be determined according to classroom information of a to-be-recorded and broadcast course, a teacher face picture (namely, a target teacher face picture) reported by the target teacher camera in a target time period is obtained, and target teacher face acquisition data is obtained according to the target teacher face picture.
In one example, information such as a teacher face picture and a teacher name may be configured in the teaching management platform in advance, and the teaching management platform may identify the target teacher face picture according to the configured information such as the teacher face picture and the teacher name, so as to obtain target teacher face acquisition data.
For example, considering that in an actual scene, a teacher may have a lessee attending teacher or a lessee patrolling teacher in addition to a lessee giving teacher, in order to improve the accuracy of the obtained lessee giving teacher information, the lessee giving teacher information may be determined based on the number of times of identification by the teacher.
Accordingly, when the target teacher face acquisition data is acquired in the above manner, the number of times each teacher is identified can be counted according to the target teacher face acquisition data.
For example, the number of times each teacher is recognized may be determined by counting the number of teacher face collected data corresponding to each teacher face in the target teacher face collected data.
For example, if 88 pieces of teacher face acquisition data of teacher a, 200 pieces of teacher face acquisition data of teacher B, and 358 pieces of teacher face acquisition data of teacher C … are included in the target teacher face acquisition data, it may be determined that the number of times that teacher a is recognized is 88 times, the number of times that teacher B is recognized is 200 times, and the number of times that teacher C is recognized is 358 times.
For example, the teacher information included in the teacher face acquisition data corresponding to the teacher with the most recognized times may be determined as the teaching teacher information of the lesson to be recorded and broadcast.
It should be noted that, in the embodiment of the present application, the teacher face acquisition data may also be obtained by analyzing video data uploaded by a teacher camera or a recording and playing host deployed in a classroom in a face recognition manner, and specific implementation thereof is not described herein again.
In some embodiments, the data processing method provided in the embodiments of the present application may further include:
acquiring knowledge point information of a to-be-recorded and broadcast course, wherein the knowledge point information comprises knowledge points and time information corresponding to the knowledge points;
determining the corresponding relation between the knowledge point and the playing time point of the video data of the curriculum to be recorded and played according to the time information corresponding to the knowledge point and the section information;
and when a selection instruction aiming at any one of the knowledge points is received, jumping the playing time point of the video data of the curriculum to be recorded and played to the playing time point corresponding to the knowledge point.
For example, in order to improve the playing controllability of the recorded course video resources and optimize the teaching effect of the recorded course video resources, for the to-be-recorded course, knowledge point information of the to-be-recorded course may also be obtained, where the knowledge point information may include, but is not limited to, knowledge points and time information corresponding to the knowledge points.
Illustratively, the knowledge point can be determined by keyword extraction on the PPT courseware, for example, when the PPT title is recognized, the PPT title is taken as the knowledge point, and when the PPT title is not recognized, keyword extraction is performed on the contents of the PPT page to determine the knowledge point.
In one example, the recording and broadcasting host can detect changes of PPT courseware signals in real time during teaching of a teacher, capture a picture from a courseware channel when changes of the PPT courseware signals are detected, analyze and detect the picture, identify knowledge points corresponding to time points (such as the time points at which changes of the PPT courseware signals are detected), and store identification result data in a hard disk of the device.
When video resources of recorded and broadcast courses need to be created, knowledge point information in a target time period (namely, corresponding time information belongs to the knowledge point information in the target time period) can be acquired from a recorded and broadcast host (namely, the target recorded and broadcast host) associated with classroom information of the to-be-recorded and broadcast courses according to the order information of the to-be-recorded and broadcast courses.
Illustratively, when the knowledge point information of the to-be-recorded and broadcast course is acquired, the corresponding relationship between the knowledge point and the playing time point of the video data of the to-be-recorded and broadcast course can be determined according to the time information corresponding to the knowledge point and the section information and according to a time offset algorithm.
For example, if the time information corresponding to the knowledge point 1 is 9:10, and the program information of the to-be-recorded and broadcast course is 9:00 to 9:45, the broadcast time point of the video data corresponding to the knowledge point 1 is 10 minutes, that is, 00: 10: 00.
in the playing process of the recorded and played course video resource, when a selection instruction aiming at any one of the knowledge points is received, the playing time point of the video data of the to-be-recorded and played course can be jumped to the playing time point corresponding to the knowledge point.
It should be noted that, when downloading the recorded course video resource from the teaching management platform through the client, the corresponding relationship between the knowledge point and the playing time point of the video data of the to-be-recorded course can also be downloaded to the client, so that when playing the recorded course video resource at the client, the playing time point of the recorded course video resource can also be controlled by selecting the knowledge point.
In order to enable those skilled in the art to better understand the technical solutions provided in the embodiments of the present application, the following describes the technical solutions provided in the embodiments of the present application with reference to specific application scenarios.
In this embodiment, the to-be-recorded course is taken as a competitive course (which can be preset).
Referring to fig. 3A, a schematic view of an effect of a competitive recording and broadcasting teacher provided in an embodiment of the present application is shown in fig. 3A, in this embodiment, taking a teacher camera as a 4K teacher dome camera as an example, a teacher picture can be obtained through the 4K teacher dome camera, and a teacher face recognition is performed. Wherein:
1. 4K teacher hemisphere camera
1.1, a deep learning algorithm is adopted, target features are extracted through a machine on the basis of massive pictures and video resources, a deep human body image for learning is formed, and the detection rate of a target human body is greatly improved.
1.2, 2 teacher tracking mode switching are supported: a real-time tracking mode and a dynamic tracking mode.
And 1.3, outputting of teacher pictures including but not limited to teacher close-up pictures, teacher panoramic pictures, blackboard writing close-up pictures and the like is supported, and the resolution of each picture is not less than 1080P.
1.4, supporting the realization of face recognition and comparison of a single camera without configuring other analysis servers under a competitive recording and broadcasting course mode.
2. Intelligent recording and broadcasting host
And 2.1, integrating the functions of video coding, audio mixing control, automatic broadcasting guide, recording and broadcasting control and the like.
2.2, the audio sampling rate can reach 48kHz, and the real restoration of the environmental sound is realized by internal sound mixing synthesis.
For example, a schematic diagram of a deployment architecture of the intelligent recording and playing host can be shown in fig. 3B.
In this embodiment, the fine course recording and broadcasting implementation process is as follows:
before data acquisition, the teaching management platform needs to configure basic data such as school work and rest (i.e. start and stop time of each class), boutique recording and broadcasting classroom information, information of devices such as a 4K teacher dome camera and a recording and broadcasting host deployed in the boutique recording and broadcasting classroom, teacher information (which may include information such as names, work numbers and face pictures of all teachers in the school and may be referred to as first teacher information), a central storage device and the like.
Teacher face data acquisition
Step 1, a teaching management platform issues a teacher face certificate to a 4K teacher hemisphere camera;
step 2, 4K, the teacher hemispherical camera creates a face library and stores the teacher face certificate photo;
step 3, collecting video images in real time by the 4K teacher hemispherical camera, analyzing and comparing the video images by combining the face identification photos stored in the step 2, identifying the face of a teacher, and reporting the face image of the teacher to a teaching management platform;
for example, the flow of implementing the teacher face data collection may be as shown in fig. 4A.
It should be noted that, in this embodiment of the application, since teacher information (which may include names, work numbers, face pictures, and other information of all teachers in a school) is pre-configured in the teaching management platform, when the 4K teacher dome camera identifies a teacher face, the 4K teacher dome camera may determine, based on relevant information in a locally stored teacher face certificate, information such as the teacher name, work number, and the like corresponding to the identified teacher face, upload the information such as the teacher name, work number, and the like to the teaching management platform, and record, by the teaching management platform, the received teacher information (which may be referred to as second teacher information) reported by the 4K teacher dome camera.
For example, since the teacher may have a duplicate name, and the work number is usually unique, the second teacher information that can be reported by the 4K teacher dome camera includes the work number, or the work number and the name.
In one example, when the 4K teacher hemisphere camera recognizes the face of a teacher, the corresponding second teacher information can be reported in the form of an alarm message; when the teaching management platform receives the alarm message, the alarm message can be added into an alarm message queue for subsequently determining the information of the teaching teacher of the to-be-recorded and broadcast course. Second, teaching teacher identification
Step 4, the teaching management platform acquires all teacher face pictures of a specified time period (namely the target time period) and a specified 4K teacher hemisphere camera (namely the target teacher camera) according to the competitive school lesson level information (such as 9:00-9:40) and competitive recording and broadcasting classroom information, and calculates the recognized times of each teacher;
it should be noted that, when the 4K teacher hemisphere camera reports second teacher information such as a job number, the teaching management platform may determine, based on the number of times a certain job number is received, the number of times that the teacher corresponding to the job number is identified.
And 5, determining the teacher with the most recognized times as a teaching teacher, and determining the information of the teaching teacher.
For example, the flow of implementing the teacher identification may be as shown in fig. 4B.
Third, creation of competitive course video resources
And 6, automatically creating the competitive product recorded broadcast course by the teaching management platform according to the grade information of the competitive product course, the information of the competitive product recorded broadcast classroom and the information of the teaching teacher (determined in the step 5), issuing a task of acquiring a video stream to a central storage device, actively pulling the video stream of a corresponding time period (target time period) to an intelligent recorded broadcast host (the target recorded broadcast host), storing the video stream and completing creation of the video resource of the competitive product course by the central storage device to receive the task request.
For example, the implementation flow of creation of the competitive curriculum video resource can be as shown in fig. 4C.
Fourth, knowledge point identification
Step 7, the recording and broadcasting host detects PPT courseware signal changes in the course of teaching of the teacher in real time, and when PPT courseware signal changes are detected, a picture is captured from a courseware channel, the picture is analyzed and detected, a knowledge point corresponding to a time point is identified, and identification result data is stored in an equipment hard disk;
and 8, after the teaching management platform automatically creates a boutique recorded broadcast course, the teaching management platform calls a corresponding intelligent recorded broadcast host (namely a target recorded broadcast host) interface to acquire knowledge point information corresponding to the boutique according to the order information of the boutique course and intelligent recorded broadcast host equipment information associated with a boutique recorded broadcast classroom, calculates the position of the knowledge point in a video clip according to a time offset algorithm, performs dotting and marking operation on video, and automatically jumps to a corresponding time point to play when a selection instruction (such as a click instruction) aiming at the corresponding knowledge point is detected in the course video resource watching process.
For example, the flow of implementing knowledge point identification may be as shown in fig. 4D.
Therefore, in the embodiment, matching between courses and teaching teachers and automatic creation of fine course video resources are automatically completed by using the fine recording and broadcasting classroom and the face recognition function of the intelligent device, and the course recording efficiency is improved.
The methods provided herein are described above. The following describes the apparatus provided in the present application:
referring to fig. 5, a schematic structural diagram of a data processing apparatus according to an embodiment of the present disclosure is shown in fig. 5, where the data processing apparatus may include:
the determining unit 510 is configured to determine a target teacher camera and a target recording and playing host according to the classroom information of the to-be-recorded and played course;
the acquisition unit 520 is used for acquiring the face acquisition data of the target teacher according to the information of the program of the to-be-recorded and broadcast course;
the determining unit 510 is further configured to determine, according to the target teacher face acquisition data, teaching teacher information of the to-be-recorded and broadcast course;
a communication unit 530, configured to send a video stream acquisition task to a central storage device, so that the central storage device acquires video data in a target time period from a target recording and playing host;
the communication unit 530 is further configured to receive video resource information returned by the central storage device;
the creating unit 540 is configured to create recorded course video resources corresponding to the to-be-recorded course according to the teaching teacher information of the to-be-recorded course and the video resource information;
the target teacher face acquisition data is teacher face acquisition data sent by the target teacher camera in a target time period, the video stream acquisition task comprises the target time period and address information of the target recording and broadcasting host, and the target time period is a time period corresponding to the order information.
In some embodiments, the obtaining unit 520 obtains the target teacher face collection data according to the information of the program of the to-be-recorded and broadcast course, including:
receiving a teacher face picture reported by a teacher camera, wherein the teacher face picture is sent when the teacher camera identifies the teacher face by using a face identification mode;
acquiring a target teacher face picture from teacher face pictures reported by the target teacher camera according to the information of the sections of the curriculum to be recorded and broadcasted, wherein the target teacher face picture is the teacher face picture reported by the target teacher camera in the target time period;
acquiring target teacher face acquisition data according to the target teacher face picture;
the obtaining unit 520 determines, according to the target teacher face acquisition data, information of the teaching teacher of the to-be-recorded and broadcast course, including:
counting the times of the teachers being identified according to the face acquisition data of the target teachers; the number of times that the teacher is identified is consistent with the number of teacher face collected data corresponding to the teacher in the target teacher face collected data;
and determining teacher information included in the teacher face acquisition data corresponding to the teacher with the most recognized times as the teaching teacher information of the to-be-recorded and broadcast course.
In some embodiments, the obtaining unit 520 is further configured to obtain knowledge point information of the to-be-recorded and broadcast course, where the knowledge point information includes knowledge points and time information corresponding to the knowledge points;
the creating unit 540 is further configured to determine, according to the time information corresponding to the knowledge point and the node information, a corresponding relationship between the knowledge point and a playing time point of the video data of the to-be-recorded and played course; and when a selection instruction aiming at any one of the knowledge points is received, jumping the playing time point of the video data of the curriculum to be recorded to the playing time point corresponding to the knowledge point.
Fig. 6 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present disclosure. The electronic device may include a processor 601, a communication interface 602, a memory 603, and a communication bus 604. The processor 601, the communication interface 602, and the memory 603 communicate with each other via a communication bus 604. Wherein, the memory 603 is stored with a computer program; the processor 601 may execute the data processing method described above by executing the program stored on the memory 603.
The memory 603 referred to herein may be any electronic, magnetic, optical, or other physical storage device that can contain or store information such as executable instructions, data, and the like. For example, the memory 602 may be: a RAM (random Access Memory), a volatile Memory, a non-volatile Memory, a flash Memory, a storage drive (e.g., a hard drive), a solid state drive, any type of storage disk (e.g., an optical disk, a dvd, etc.), or similar storage medium, or a combination thereof.
Embodiments of the present application also provide a machine-readable storage medium, such as the memory 603 in fig. 6, storing a computer program, which can be executed by the processor 601 in the electronic device shown in fig. 6 to implement the data processing method described above.
Referring to fig. 7, a schematic structural diagram of a data processing system according to an embodiment of the present application is shown in fig. 7, where the data processing system may include: educational management platform 710, at least one teacher camera 720, at least one recording host 730, and at least one central storage device 740 (one of which is illustrated);
the teacher camera 720, when recognizing the teacher's face by using a face recognition method, sends teacher's face acquisition data to the education management platform 710;
the education management platform 710 determines a target teacher camera and a target recording and broadcasting host according to the classroom information of the to-be-recorded and broadcasting course; acquiring face acquisition data of a target teacher according to the information of the program of the to-be-recorded and broadcast course; determining teaching teacher information of the to-be-recorded and broadcast course according to the face acquisition data of the target teacher; sending a video stream acquisition task to the central storage device 740, and receiving video resource information sent by the central storage device; creating recorded course video resources corresponding to the to-be-recorded course according to the teaching teacher information and the video resource information of the to-be-recorded course; the target time period is a time period corresponding to the section information, the target teacher face acquisition data is teacher face acquisition data sent by the target teacher camera in the target time period, and the video stream acquisition task comprises the target time period and address information of the target recording and broadcasting host;
the recording and broadcasting host 730 records video data; when receiving a video stream acquisition request sent by the central storage device 740, returning video data corresponding to the video stream acquisition request;
the central storage device 740 is used for storing the video data sent by the recording and broadcasting host; and determining video resource information corresponding to the video data.
In some embodiments, the recording and broadcasting host 730 detects the courseware state according to a preset period, and obtains a courseware picture when detecting that the courseware state changes; analyzing the courseware picture to obtain knowledge point information corresponding to the courseware picture, wherein the knowledge point information comprises knowledge points and time information corresponding to the knowledge points;
the education management platform 710 acquires the knowledge point information of the to-be-recorded and broadcast course according to the target time period; and updating recorded course video resources corresponding to the to-be-recorded course according to the knowledge point information of the to-be-recorded course.
In some embodiments, the determining, by the education management platform 710, the information of the teacher giving lesson of the to-be-recorded lesson according to the data collected by the face of the target teacher includes:
counting the times of the teachers being identified according to the face acquisition data of the target teachers; the number of times that the teacher is identified is consistent with the number of teacher face collected data corresponding to the teacher in the target teacher face collected data;
and determining teacher information included in the teacher face acquisition data corresponding to the teacher with the most recognized times as the teaching teacher information of the to-be-recorded and broadcast course.
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 exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.

Claims (11)

1. A data processing method, comprising:
determining a target teacher camera and a target recording and broadcasting host according to the classroom information of the to-be-recorded and broadcasting course;
acquiring face acquisition data of a target teacher according to the information of the program of the to-be-recorded and broadcast course; determining teaching teacher information of the to-be-recorded and broadcast course according to the face acquisition data of the target teacher;
sending a video stream acquisition task to a central storage device so that the central storage device acquires video data in a target time period from a target recording and broadcasting host;
receiving video resource information returned by the central storage equipment;
creating recorded course video resources corresponding to the to-be-recorded course according to the teaching teacher information of the to-be-recorded course and the video resource information;
the target teacher face acquisition data is teacher face acquisition data sent by the target teacher camera in a target time period, the video stream acquisition task comprises the target time period and address information of the target recording and broadcasting host, and the target time period is a time period corresponding to the order information.
2. The method as claimed in claim 1, wherein the obtaining of the target teacher face collection data according to the information of the program of the to-be-recorded and broadcast course comprises:
receiving a teacher face picture reported by a teacher camera, wherein the teacher face picture is sent when the teacher camera identifies the teacher face by using a face identification mode;
acquiring a target teacher face picture from teacher face pictures reported by the target teacher camera according to the information of the sections of the curriculum to be recorded and broadcasted, wherein the target teacher face picture is the teacher face picture reported by the target teacher camera in the target time period;
acquiring target teacher face acquisition data according to the target teacher face picture;
the step of determining the information of the teaching teacher of the to-be-recorded and broadcast course according to the face acquisition data of the target teacher comprises the following steps:
counting the times of the teachers being identified according to the face acquisition data of the target teachers; the number of times that the teacher is identified is consistent with the number of teacher face collected data corresponding to the teacher in the target teacher face collected data;
and determining teacher information included in the teacher face acquisition data corresponding to the teacher with the most recognized times as the teaching teacher information of the to-be-recorded and broadcast course.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
acquiring knowledge point information of the to-be-recorded and broadcast course, wherein the knowledge point information comprises knowledge points and time information corresponding to the knowledge points;
determining the corresponding relation between the knowledge point and the playing time point of the video data of the curriculum to be recorded and played according to the time information corresponding to the knowledge point and the node information;
and when a selection instruction aiming at any one of the knowledge points is received, jumping the playing time point of the video data of the curriculum to be recorded to the playing time point corresponding to the knowledge point.
4. A data processing apparatus, comprising:
the determining unit is used for determining a target teacher camera and a target recording and broadcasting host according to the classroom information of the curriculum to be recorded and broadcasted;
the acquisition unit is used for acquiring the face acquisition data of a target teacher according to the information of the program of the to-be-recorded and broadcast course;
the determining unit is further used for determining teaching teacher information of the to-be-recorded and broadcast course according to the target teacher face acquisition data;
the communication unit is used for sending a video stream acquisition task to the central storage equipment so that the central storage equipment can acquire video data in a target time period from the target recording and broadcasting host;
the communication unit is also used for receiving the video resource information returned by the central storage equipment;
the creating unit is used for creating recorded course video resources corresponding to the to-be-recorded course according to the teaching teacher information of the to-be-recorded course and the video resource information;
the target teacher face acquisition data is teacher face acquisition data sent by the target teacher camera in a target time period, the video stream acquisition task comprises the target time period and address information of the target recording and broadcasting host, and the target time period is a time period corresponding to the order information.
5. The apparatus according to claim 4, wherein the obtaining unit obtains the target teacher face collection data according to the information of the program of the to-be-recorded course, and the obtaining unit comprises:
receiving a teacher face picture reported by a teacher camera, wherein the teacher face picture is sent when the teacher camera identifies the teacher face by using a face identification mode;
acquiring a target teacher face picture from teacher face pictures reported by the target teacher camera according to the information of the sections of the curriculum to be recorded and broadcasted, wherein the target teacher face picture is the teacher face picture reported by the target teacher camera in the target time period;
acquiring target teacher face acquisition data according to the target teacher face picture;
the determining unit determines the information of the teaching teacher of the to-be-recorded and broadcast course according to the face acquisition data of the target teacher, and the determining unit comprises the following steps:
counting the times of the teachers being identified according to the face acquisition data of the target teachers; the number of times that the teacher is identified is consistent with the number of teacher face collected data corresponding to the teacher in the target teacher face collected data;
and determining teacher information included in the teacher face acquisition data corresponding to the teacher with the most recognized times as the teaching teacher information of the to-be-recorded and broadcast course.
6. The apparatus according to claim 4 or 5,
the acquisition unit is further used for acquiring knowledge point information of the to-be-recorded and broadcast course, wherein the knowledge point information comprises knowledge points and time information corresponding to the knowledge points;
the creating unit is further configured to determine, according to the time information corresponding to the knowledge point and the node information, a corresponding relationship between the knowledge point and a playing time point of the video data of the to-be-recorded and played course; and when a selection instruction aiming at any one of the knowledge points is received, jumping the playing time point of the video data of the curriculum to be recorded to the playing time point corresponding to the knowledge point.
7. A data processing system, characterized in that the system comprises: the system comprises an education management platform, at least one teacher camera, at least one recording and broadcasting host and at least one central storage device;
the teacher camera sends teacher face acquisition data to the education management platform when recognizing the teacher face by using a face recognition mode;
the education management platform determines a target teacher camera and a target recording and broadcasting host according to the classroom information of the to-be-recorded and broadcasting course; acquiring face acquisition data of a target teacher according to the information of the program of the to-be-recorded and broadcast course; determining teaching teacher information of the to-be-recorded and broadcast course according to the face acquisition data of the target teacher; sending a video stream acquisition task to the central storage device, and receiving video resource information sent by the central storage device; creating recorded course video resources corresponding to the to-be-recorded course according to the teaching teacher information and the video resource information of the to-be-recorded course; the target time period is a time period corresponding to the section information, the target teacher face acquisition data is teacher face acquisition data sent by the target teacher camera in the target time period, and the video stream acquisition task comprises the target time period and address information of the target recording and broadcasting host;
the recording and broadcasting host records video data; when a video stream acquisition request sent by the central storage equipment is received, returning video data corresponding to the video stream acquisition request;
the central storage equipment stores the video data sent by the recording and broadcasting host; and determining video resource information corresponding to the video data.
8. The system of claim 7,
the recording and broadcasting host detects the courseware state according to a preset period and acquires courseware pictures when detecting that the courseware state changes; analyzing the courseware picture to obtain knowledge point information corresponding to the courseware picture, wherein the knowledge point information comprises knowledge points and time information corresponding to the knowledge points;
the education management platform acquires knowledge point information of the to-be-recorded and broadcast course according to the target time period; and updating recorded course video resources corresponding to the to-be-recorded course according to the knowledge point information of the to-be-recorded course.
9. The system of claim 7, wherein the education management platform determines teaching teacher information of the to-be-recorded course according to the target teacher face collection data, and the determining comprises:
counting the times of the teachers being identified according to the face acquisition data of the target teachers; the number of times that the teacher is identified is consistent with the number of teacher face collected data corresponding to the teacher in the target teacher face collected data;
and determining teacher information included in the teacher face acquisition data corresponding to the teacher with the most recognized times as the teaching teacher information of the to-be-recorded and broadcast course.
10. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the method of any one of claims 1 to 3 when executing a program stored in the memory.
11. A machine readable storage medium, characterized in that a computer program is stored in the computer readable storage medium, which computer program, when being executed by a processor, carries out the method of any one of claims 1-3.
CN202011010595.0A 2020-09-23 2020-09-23 Data processing method, device, system, electronic equipment and storage medium Pending CN112153421A (en)

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