CN116665497A - Training method and system based on online interaction class - Google Patents

Training method and system based on online interaction class Download PDF

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Publication number
CN116665497A
CN116665497A CN202310474392.4A CN202310474392A CN116665497A CN 116665497 A CN116665497 A CN 116665497A CN 202310474392 A CN202310474392 A CN 202310474392A CN 116665497 A CN116665497 A CN 116665497A
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China
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network training
terminal device
interaction
training terminal
historical
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CN202310474392.4A
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Inventor
刘敏
程子聪
陈峰军
陈裕刚
沈雯
吴敏
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Suzhou Leiming Network Technology Co ltd
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Suzhou Leiming Network Technology Co ltd
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Priority to CN202310474392.4A priority Critical patent/CN116665497A/en
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    • 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
    • G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
    • G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The invention provides a training method and system based on an online interaction classroom, and relates to the technical field of Internet. In the invention, for each network training terminal device, information acquisition operation is carried out on the network training terminal device so as to obtain a corresponding historical monitoring video. And for each network training terminal device, performing video analysis operation on the historical monitoring video corresponding to the network training terminal device so as to output corresponding interaction degree information. And determining classroom training parameters of the plurality of network training terminal devices according to the interaction degree information corresponding to each network training terminal device so as to output target classroom training parameters corresponding to the plurality of network training terminal devices, wherein the target classroom training parameters are used for controlling the network training currently performed by the plurality of network training terminal devices. Based on the method, the problem of poor network training effect in the prior art can be solved.

Description

Training method and system based on online interaction class
Technical Field
The invention relates to the technical field of Internet, in particular to a training method and system based on an online interaction classroom.
Background
With the continuous development of internet technology, the application range of the internet technology is increased, for example, the internet technology is applied to the training field, so that the convenience of learning education of users is greatly improved. In some applications, when network training is performed, the training parameters of the network training need to be determined, and then the corresponding network training is performed according to the training parameters.
Disclosure of Invention
Therefore, the invention aims to provide a training method and system based on an online interaction classroom, so as to solve the problem of poor network training effect in the prior art.
In order to achieve the above purpose, the embodiment of the present invention adopts the following technical scheme:
the online interaction class-based training method is applied to a network training platform, wherein the network training platform is in communication connection with a plurality of network training terminal devices, and the online interaction class-based training method comprises the following steps:
for each network training terminal device in the plurality of network training terminal devices, performing information acquisition operation on the network training terminal device to obtain a historical monitoring video corresponding to the network training terminal device, wherein the historical monitoring video is formed by performing video monitoring on a corresponding network training user when the corresponding network training user historically receives network training based on the corresponding network training terminal device;
For each network training terminal device in the plurality of network training terminal devices, performing video analysis operation on the historical monitoring video corresponding to the network training terminal device to output interaction degree information corresponding to the network training terminal device, wherein the interaction degree information is used for representing class interaction degree of a corresponding network training user when the corresponding network training user receives network training historically;
and determining classroom training parameters of the plurality of network training terminal devices according to the interaction degree information corresponding to each network training terminal device so as to output target classroom training parameters corresponding to the plurality of network training terminal devices, wherein the target classroom training parameters are used for controlling the network training currently performed by the plurality of network training terminal devices.
In some preferred embodiments, in the training method based on online interaction class, for each network training terminal device of the plurality of network training terminal devices, the step of performing information collection operation on the network training terminal device to obtain a historical monitoring video corresponding to the network training terminal device includes:
Generating an information acquisition instruction under the condition that network training users corresponding to each network training terminal device in the plurality of network training terminal devices are required to be subjected to network training currently, and then respectively sending the information acquisition instruction to each network training terminal device in the plurality of network training terminal devices, wherein each network training terminal device is used for transmitting a corresponding historical monitoring video to the network training platform according to the information acquisition instruction;
and for each network training terminal device in the plurality of network training terminal devices, receiving the corresponding historical monitoring video of the network training terminal device in a state that the network training terminal device transmits the corresponding historical monitoring video to the network training platform according to the information acquisition instruction.
In some preferred embodiments, in the online interactive classroom based training method, the step of generating an information acquisition instruction in a state that it is determined that network training is currently required to be performed on a network training user corresponding to each of the plurality of network training terminal devices, and then sending the information acquisition instruction to each of the plurality of network training terminal devices respectively includes:
In a state that network training is required to be conducted on network training users corresponding to each network training terminal device in the plurality of network training terminal devices at present, determining the training content of the network training required to be conducted at present so as to output corresponding target training content;
searching a target historical network training with matched content from historical network training performed in history according to the target training content, and generating a corresponding information acquisition instruction according to target historical training time corresponding to the target historical network training;
and sending the information acquisition instruction to each network training terminal device in the plurality of network training terminal devices, wherein each network training terminal device is used for transmitting a historical monitoring video corresponding to the target historical training time to a network training platform according to the information acquisition instruction.
In some preferred embodiments, in the online interactive classroom-based training method, the step of searching for a content-matched target historical network training from a plurality of historical network training performed in history according to the target training content, and generating a corresponding information acquisition instruction according to a target historical training time corresponding to the target historical network training includes:
For each historical network training of a plurality of historical network training performed historically, determining the training content of the historical network training to output corresponding historical training content;
for each historical network training in the plurality of historical network training, performing similarity calculation operation on the historical training content corresponding to the historical network training and the target training content to output content similarity corresponding to the historical network training;
searching the content similarity with the maximum value from the content similarity corresponding to each historical network training in the plurality of historical network training to define the content similarity as a target content similarity;
and defining the historical network training corresponding to the target content similarity as target historical network training, performing training time determining operation on the target historical network training to output corresponding target historical training time, and generating a corresponding information acquisition instruction according to the target historical training time.
In some preferred embodiments, in the training method based on online interaction class, the step of performing, for each network training terminal device of the plurality of network training terminal devices, a video parsing operation on the historical monitoring video corresponding to the network training terminal device to output interaction degree information corresponding to the network training terminal device includes:
For each network training terminal device in the plurality of network training terminal devices, performing a first video analysis operation on the historical monitoring video corresponding to the network training terminal device to identify the number of historical monitoring video frames of classroom interaction performed by a network training user corresponding to the network training terminal device in the historical monitoring video, so as to output the statistical number of interaction video frames corresponding to the network training terminal device, and then performing a first interaction coefficient determination operation on the network training terminal device according to the statistical number of interaction video frames so as to output a first interaction coefficient corresponding to the network training terminal device, wherein the first interaction coefficient has a positive correlation relationship with the statistical number of interaction video frames;
for each network training terminal device in the plurality of network training terminal devices, defining each frame of history monitoring video frame of classroom interaction of a network training user corresponding to the network training terminal device in the history monitoring video corresponding to the network training terminal device as an interaction history monitoring video frame, and constructing an interaction video frame ordered set corresponding to the network training terminal device according to each frame of interaction history monitoring video frame and a time sequence corresponding to each frame of interaction history monitoring video frame;
For each network training terminal device in the plurality of network training terminal devices, performing a second video analysis operation according to the ordered set of the interactive video frames corresponding to the network training terminal device so as to output a second interaction coefficient corresponding to the network training terminal device;
and for each network training terminal device in the plurality of network training terminal devices, according to the first interaction coefficient corresponding to the network training terminal device and the second interaction coefficient corresponding to the network training terminal device, integrating and outputting interaction degree information corresponding to the network training terminal device.
In some preferred embodiments, in the training method based on online interaction class, for each of the plurality of network training terminal devices, the step of performing a second video parsing operation according to the ordered set of interaction video frames corresponding to the network training terminal device to output a second interaction coefficient corresponding to the network training terminal device includes:
for each network training terminal device in the plurality of network training terminal devices, splitting the ordered set of the interactive video frames corresponding to the network training terminal device according to whether the corresponding time sequences are adjacent or not so as to output at least one ordered sub-set of the interactive video frames corresponding to the network training terminal device, wherein the time sequences between every two adjacent interactive history monitoring video frames included in each ordered sub-set of the interactive video frames in the at least one ordered sub-set of the interactive video frames are adjacent;
For each ordered subset of the interactive video frames in at least one ordered subset of the interactive video frames corresponding to each network training terminal device in the plurality of network training terminal devices, splitting the ordered subset of the interactive video frames according to a preset video frame reference number to output at least one interactive video frame sequence corresponding to the ordered subset of the interactive video frames, wherein the number of interactive historical monitoring video frames included in each interactive video frame sequence in the at least one interactive video frame sequence is smaller than or equal to the video frame reference number;
for each network training terminal device in the plurality of network training terminal devices, performing similarity calculation operation on every two adjacent interactive video frame sequences in time sequence corresponding to the network training terminal device so as to output similarity between every two adjacent interactive video frame sequences in time sequence;
and for each network training terminal device in the plurality of network training terminal devices, fusing the similarity between every two adjacent interaction video frame sequences in time sequence corresponding to the network training terminal device to output the fused similarity corresponding to the network training terminal device, and determining a second interaction coefficient corresponding to the negatively-related network training terminal device according to the fused similarity.
In some preferred embodiments, in the online interaction class-based training method, the step of performing a class training parameter determining operation on the plurality of network training terminal devices according to the interaction degree information corresponding to each of the network training terminal devices, so as to output target class training parameters corresponding to the plurality of network training terminal devices includes:
performing average value calculation operation on the interaction degree information corresponding to each network training terminal device in the plurality of network training terminal devices to output interaction degree average value information corresponding to the plurality of network training terminal devices, and performing discrete value calculation operation on the interaction degree information corresponding to each network training terminal device according to the interaction degree average value information to output interaction degree discrete value information corresponding to the plurality of network training terminal devices;
performing a target adjustment coefficient determining operation according to the interaction degree discrete value information so as to output a target adjustment coefficient of negative correlation corresponding to the interaction degree discrete value information;
and performing product calculation operation on the target adjustment coefficient and the interaction degree mean value information to output interaction degree update information corresponding to the interaction degree mean value information, and performing classroom training parameter determination operation on the plurality of network training terminal devices according to the interaction degree update information to output target classroom training parameters corresponding to the plurality of network training terminal devices, wherein the target classroom training parameters and the interaction degree update information have a positive correlation, and the target classroom training parameters are used for representing the number of classroom interactions required to be performed in the network training process.
The embodiment of the invention also provides a training system based on the online interaction class, which is applied to a network training platform, wherein the network training platform is in communication connection with a plurality of network training terminal devices, and the training system based on the online interaction class comprises:
the video information acquisition module is used for carrying out information acquisition operation on each network training terminal device in the plurality of network training terminal devices so as to acquire a historical monitoring video corresponding to the network training terminal device, wherein the historical monitoring video is formed by carrying out video monitoring on a corresponding network training user when the corresponding network training user receives network training in history based on the corresponding network training terminal device;
the monitoring video analysis module is used for carrying out video analysis operation on the historical monitoring video corresponding to each network training terminal device in the plurality of network training terminal devices so as to output interaction degree information corresponding to the network training terminal device, wherein the interaction degree information is used for representing the class interaction degree of the corresponding network training user when the corresponding network training user receives network training in history;
The training parameter determining module is used for determining classroom training parameters of the plurality of network training terminal devices according to the interaction degree information corresponding to each network training terminal device so as to output target classroom training parameters corresponding to the plurality of network training terminal devices, wherein the target classroom training parameters are used for controlling network training currently performed by the plurality of network training terminal devices.
In some preferred embodiments, in the training system based on online interaction class, the monitoring video parsing module is specifically configured to:
for each network training terminal device in the plurality of network training terminal devices, performing a first video analysis operation on the historical monitoring video corresponding to the network training terminal device to identify the number of historical monitoring video frames of classroom interaction performed by a network training user corresponding to the network training terminal device in the historical monitoring video, so as to output the statistical number of interaction video frames corresponding to the network training terminal device, and then performing a first interaction coefficient determination operation on the network training terminal device according to the statistical number of interaction video frames so as to output a first interaction coefficient corresponding to the network training terminal device, wherein the first interaction coefficient has a positive correlation relationship with the statistical number of interaction video frames;
For each network training terminal device in the plurality of network training terminal devices, defining each frame of history monitoring video frame of classroom interaction of a network training user corresponding to the network training terminal device in the history monitoring video corresponding to the network training terminal device as an interaction history monitoring video frame, and constructing an interaction video frame ordered set corresponding to the network training terminal device according to each frame of interaction history monitoring video frame and a time sequence corresponding to each frame of interaction history monitoring video frame;
for each network training terminal device in the plurality of network training terminal devices, performing a second video analysis operation according to the ordered set of the interactive video frames corresponding to the network training terminal device so as to output a second interaction coefficient corresponding to the network training terminal device;
and for each network training terminal device in the plurality of network training terminal devices, according to the first interaction coefficient corresponding to the network training terminal device and the second interaction coefficient corresponding to the network training terminal device, integrating and outputting interaction degree information corresponding to the network training terminal device.
In some preferred embodiments, in the training system based on online interaction class, the training parameter determining module is specifically configured to:
Performing average value calculation operation on the interaction degree information corresponding to each network training terminal device in the plurality of network training terminal devices to output interaction degree average value information corresponding to the plurality of network training terminal devices, and performing discrete value calculation operation on the interaction degree information corresponding to each network training terminal device according to the interaction degree average value information to output interaction degree discrete value information corresponding to the plurality of network training terminal devices;
performing a target adjustment coefficient determining operation according to the interaction degree discrete value information so as to output a target adjustment coefficient of negative correlation corresponding to the interaction degree discrete value information;
and performing product calculation operation on the target adjustment coefficient and the interaction degree mean value information to output interaction degree update information corresponding to the interaction degree mean value information, and performing classroom training parameter determination operation on the plurality of network training terminal devices according to the interaction degree update information to output target classroom training parameters corresponding to the plurality of network training terminal devices, wherein the target classroom training parameters and the interaction degree update information have a positive correlation, and the target classroom training parameters are used for representing the number of classroom interactions required to be performed in the network training process.
According to the training method and system based on the online interaction class, for each network training terminal device, information acquisition operation is carried out on the network training terminal device so as to obtain corresponding historical monitoring videos. And for each network training terminal device, performing video analysis operation on the historical monitoring video corresponding to the network training terminal device so as to output corresponding interaction degree information. And determining classroom training parameters of the plurality of network training terminal devices according to the interaction degree information corresponding to each network training terminal device so as to output target classroom training parameters corresponding to the plurality of network training terminal devices. In the process of determining the target classroom training parameters, the interaction degree information obtained based on the historical monitoring video frames is referred to, so that the determined target classroom training parameters are more matched with the interaction degree of the network training users, the training effect of the online interaction classroom is improved to a certain extent, and the problem of poor network training effect in the prior art is solved.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
Fig. 1 is a block diagram of a network training platform according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart of steps included in the training method based on online interaction class according to the embodiment of the present invention.
Fig. 3 is a schematic diagram of each module included in the training system based on online interaction class according to the embodiment of the present invention.
Description of the embodiments
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments of the present invention. The components of the 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 invention, as 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 made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, an embodiment of the present invention provides a network training platform. Wherein the network training platform may include a memory and a processor.
More specifically, in one implementation, the memory and the processor are electrically connected directly or indirectly to enable transmission or interaction of data. For example, electrical connection may be made to each other via one or more communication buses or signal lines. The memory may store at least one software functional module (computer program) that may exist in the form of software or firmware. The processor may be configured to execute the executable computer program stored in the memory, so as to implement the training method based on the online interaction classroom provided by the embodiment of the present invention.
More specifically, in one implementation, the Memory may be, but is not limited to, random access Memory (Random Access Memory, RAM), read Only Memory (ROM), programmable Read Only Memory (Programmable Read-Only Memory, PROM), erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), and the like. The processor may be a general purpose processor including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), a System on Chip (SoC), etc.; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
More specifically, in one implementation, the network training platform may be a server (or cluster of servers) with data processing capabilities.
With reference to fig. 2, the embodiment of the invention also provides a training method based on an online interaction classroom, which can be applied to the network training platform. The method steps defined by the flow related to the online interactive classroom-based training method can be realized by the network training platform. The network training platform is in communication connection with a plurality of network training terminal devices, such as mobile phones, computers and the like.
Step S110, for each network training terminal device in the plurality of network training terminal devices, performing information acquisition operation on the network training terminal device to obtain a history monitoring video corresponding to the network training terminal device.
In the embodiment of the invention, the network training platform can perform information acquisition operation on each network training terminal device in the plurality of network training terminal devices so as to acquire the historical monitoring video corresponding to the network training terminal device. And the historical monitoring video is formed by video monitoring when the corresponding network training user receives network training in history based on the corresponding network training terminal equipment.
Step S120, for each network training terminal device in the plurality of network training terminal devices, performing video analysis operation on the historical monitoring video corresponding to the network training terminal device, so as to output interaction degree information corresponding to the network training terminal device.
In the embodiment of the invention, the network training platform can perform video analysis operation on the historical monitoring video corresponding to each network training terminal device in the plurality of network training terminal devices so as to output interaction degree information corresponding to the network training terminal device. The interaction degree information is used for representing the class interaction degree of the corresponding network training user when the corresponding network training user receives network training historically.
And step S130, determining the classroom training parameters of the plurality of network training terminal devices according to the interaction degree information corresponding to each network training terminal device so as to output the target classroom training parameters corresponding to the plurality of network training terminal devices.
In the embodiment of the invention, the network training platform can determine the classroom training parameters of the plurality of network training terminal devices according to the interaction degree information corresponding to each network training terminal device so as to output the target classroom training parameters corresponding to the plurality of network training terminal devices. And the target classroom training parameters are used for controlling the network training currently performed by the plurality of network training terminal devices.
The online interaction class-based training method can be realized, and for each network training terminal device, information acquisition operation is carried out on the network training terminal device so as to obtain a corresponding historical monitoring video. And for each network training terminal device, performing video analysis operation on the historical monitoring video corresponding to the network training terminal device so as to output corresponding interaction degree information. And determining classroom training parameters of the plurality of network training terminal devices according to the interaction degree information corresponding to each network training terminal device so as to output target classroom training parameters corresponding to the plurality of network training terminal devices. In the process of determining the target classroom training parameters, the interaction degree information obtained based on the historical monitoring video frames is referred to, so that the determined target classroom training parameters are more matched with the interaction degree of the network training users, the training effect of the online interaction classroom is improved to a certain extent, and the problem of poor network training effect in the prior art is solved.
More specifically, in one implementation manner, step S110 in the foregoing may be the step of performing, for each of the plurality of network training terminal devices, an information collecting operation on the network training terminal device to obtain a historical monitoring video corresponding to the network training terminal device, and may further include the following contents:
Generating an information acquisition instruction under the condition that network training users corresponding to each network training terminal device in the plurality of network training terminal devices are required to be subjected to network training currently, and then respectively sending the information acquisition instruction to each network training terminal device in the plurality of network training terminal devices, wherein each network training terminal device is used for transmitting a corresponding historical monitoring video to the network training platform according to the information acquisition instruction;
and for each network training terminal device in the plurality of network training terminal devices, receiving the corresponding historical monitoring video of the network training terminal device in a state that the network training terminal device transmits the corresponding historical monitoring video to the network training platform according to the information acquisition instruction.
More specifically, in one implementation manner, the step of generating an information acquisition instruction in a state that it is determined that network training is currently required to be performed on the network training user corresponding to each of the plurality of network training terminal devices, and then sending the information acquisition instruction to each of the plurality of network training terminal devices respectively may further include the following contents:
In a state that network training is required to be conducted on network training users corresponding to each network training terminal device in the plurality of network training terminal devices at present, determining the training content of the network training required to be conducted at present so as to output corresponding target training content;
searching a target historical network training with matched content from historical network training performed in history according to the target training content, and generating a corresponding information acquisition instruction according to target historical training time corresponding to the target historical network training;
and sending the information acquisition instruction to each network training terminal device in the plurality of network training terminal devices, wherein each network training terminal device is used for transmitting a historical monitoring video corresponding to the target historical training time to a network training platform according to the information acquisition instruction.
More specifically, in one implementation manner, the step of searching for the target historical network training with matched content from the historical network training performed in history according to the target training content, and generating the corresponding information acquisition instruction according to the target historical training time corresponding to the target historical network training may further include the following contents:
For each historical network training of a plurality of historical network training performed historically, determining the training content of the historical network training to output corresponding historical training content;
for each historical network training in the plurality of historical network training, performing similarity calculation operation on the historical training content corresponding to the historical network training and the target training content to output content similarity corresponding to the historical network training;
searching the content similarity with the maximum value from the content similarity corresponding to each historical network training in the plurality of historical network training to define the content similarity as a target content similarity;
and defining the historical network training corresponding to the target content similarity as target historical network training, performing training time determining operation on the target historical network training to output corresponding target historical training time, and generating a corresponding information acquisition instruction according to the target historical training time.
More specifically, in one implementation manner, step S120 in the foregoing disclosure, that is, the step of, for each network training terminal device of the plurality of network training terminal devices, performing a video parsing operation on the historical monitoring video corresponding to the network training terminal device to output interaction degree information corresponding to the network training terminal device may further include the following contents:
For each network training terminal device in the plurality of network training terminal devices, performing a first video analysis operation on the historical monitoring video corresponding to the network training terminal device to identify the number of historical monitoring video frames of classroom interaction performed by a network training user corresponding to the network training terminal device in the historical monitoring video, so as to output the statistical number of interaction video frames corresponding to the network training terminal device, and then performing a first interaction coefficient determination operation on the network training terminal device according to the statistical number of interaction video frames so as to output a first interaction coefficient corresponding to the network training terminal device, wherein the first interaction coefficient has a positive correlation relationship with the statistical number of interaction video frames;
for each network training terminal device in the plurality of network training terminal devices, defining each frame of history monitoring video frame of classroom interaction of a network training user corresponding to the network training terminal device in the history monitoring video corresponding to the network training terminal device as an interaction history monitoring video frame, and constructing an interaction video frame ordered set corresponding to the network training terminal device according to each frame of interaction history monitoring video frame and a time sequence corresponding to each frame of interaction history monitoring video frame;
For each network training terminal device in the plurality of network training terminal devices, performing a second video analysis operation according to the ordered set of the interactive video frames corresponding to the network training terminal device so as to output a second interaction coefficient corresponding to the network training terminal device;
and for each network training terminal device in the plurality of network training terminal devices, according to the first interaction coefficient corresponding to the network training terminal device and the second interaction coefficient corresponding to the network training terminal device, outputting the interaction degree information corresponding to the network training terminal device in a fusion way (for example, the first interaction coefficient and the second interaction coefficient can be subjected to mean value calculation).
More specifically, in one implementation manner, the step of performing, for each network training terminal device of the plurality of network training terminal devices, a second video parsing operation according to the ordered set of interactive video frames corresponding to the network training terminal device to output a second interaction coefficient corresponding to the network training terminal device may further include the following contents:
for each network training terminal device in the plurality of network training terminal devices, splitting the ordered set of the interactive video frames corresponding to the network training terminal device according to whether the corresponding time sequences are adjacent or not so as to output at least one ordered sub-set of the interactive video frames corresponding to the network training terminal device, wherein the time sequences between every two adjacent interactive history monitoring video frames included in each ordered sub-set of the interactive video frames in the at least one ordered sub-set of the interactive video frames are adjacent;
For each ordered subset of the interactive video frames in at least one ordered subset of the interactive video frames corresponding to each network training terminal device in the plurality of network training terminal devices, splitting the ordered subset of the interactive video frames according to a preset video frame reference number to output at least one interactive video frame sequence corresponding to the ordered subset of the interactive video frames, wherein the number of interactive historical monitoring video frames included in each interactive video frame sequence in the at least one interactive video frame sequence is smaller than or equal to the video frame reference number;
for each network training terminal device in the plurality of network training terminal devices, performing similarity calculation operation on every two adjacent interactive video frame sequences in time sequence corresponding to the network training terminal device so as to output similarity between every two adjacent interactive video frame sequences in time sequence;
and for each network training terminal device in the plurality of network training terminal devices, fusing the similarity between every two adjacent interactive video frame sequences in time sequence corresponding to the network training terminal device (for example, average value calculation can be performed on the similarity between the interactive video frame sequences) so as to output the fused similarity corresponding to the network training terminal device, and determining a second interaction coefficient corresponding to the negatively-related network training terminal device according to the fused similarity.
More specifically, in one implementation manner, the step of performing, for each network training terminal device of the plurality of network training terminal devices, a similarity calculation operation on each two time-sequence adjacent interactive video frame sequences corresponding to the network training terminal device to output a similarity between each two time-sequence adjacent interactive video frame sequences may further include the following:
respectively defining two interactive video frame sequences for similarity calculation operation as a first interactive video frame sequence and a second interactive video frame sequence;
for each first historical interactive monitoring video frame in the first interactive video frame sequence, performing video frame similarity calculation operation on the first historical interactive monitoring video frame and each second historical interactive monitoring video frame included in the second interactive video frame sequence so as to output video frame similarity between the first historical interactive monitoring video frame and each second historical interactive monitoring video frame;
according to whether the similarity of the video frames between the first historical interaction monitoring video frames and the second historical interaction monitoring video frames is larger than a preset video frame similarity reference value or not and according to a rule that the formed combination quantity has the maximum value, carrying out combination processing on the first historical interaction monitoring video frames and the second historical interaction monitoring video frames to form a corresponding first video frame combination set, wherein the similarity of the video frames between the first historical interaction monitoring video frames and the second historical interaction monitoring video frames corresponding to each first video frame combination included in the first video frame combination set is larger than the video frame similarity reference value, and any one frame of the first historical interaction monitoring video frames and one frame of the second historical interaction monitoring video frames form a corresponding first video frame combination at most, and any one frame of the second historical interaction monitoring video frames and one frame of the first historical interaction monitoring video frames form a corresponding first video frame combination at most;
Performing statistics operation on the number of first video frame combinations included in the first video frame combination set to output a combination statistics number corresponding to the first video frame combination set, and performing mapping operation of positive correlation coefficients according to the combination statistics number to output corresponding first similarity coefficients;
for each first video frame combination included in the first video frame combination set, determining a sequence position of a first historical interaction monitoring video frame corresponding to the first video frame combination in the first interaction video frame sequence to output a first sequence position corresponding to the first video frame combination, determining a sequence position of a second historical interaction monitoring video frame corresponding to the first video frame combination in the second interaction video frame sequence to output a second sequence position corresponding to the first video frame combination, and determining a correlation coefficient of a negative correlation corresponding to the first video frame combination according to a position distance between the first sequence position and the second sequence position;
performing a fusion operation (such as calculating an average value of the correlation coefficients corresponding to each first video frame combination) on the correlation coefficients corresponding to each first video frame combination included in the first video frame combination set, so as to output a corresponding second correlation coefficient;
Combining the first historical interaction monitoring video frames and the second historical interaction monitoring video frames according to a rule that the average value of the video frame similarity corresponding to the formed first video frame combination is the largest, so as to form a corresponding second video frame combination set, wherein each frame of the first historical interaction monitoring video frame and one frame of the second historical interaction monitoring video frame form a corresponding second video frame combination, and each frame of the second historical interaction monitoring video frame and one frame of the first historical interaction monitoring video frame form a corresponding second video frame combination;
and performing a mean value calculation operation on the video frame similarity corresponding to each second video frame combination included in the second video frame combination set to output a corresponding video frame similarity mean value, and then performing a fusion operation on the video frame similarity mean value, the first similarity coefficient and the second similarity coefficient (for example, a product between the video frame similarity mean value, the first similarity coefficient and the second similarity coefficient can be calculated, etc.), so as to output the similarity between the two interactive video frame sequences.
More specifically, in one implementation manner, step S130 in the foregoing may be the step of performing, according to the interaction degree information corresponding to each of the network training terminal devices, a determination operation of classroom training parameters on the plurality of network training terminal devices to output target classroom training parameters corresponding to the plurality of network training terminal devices, and may further include the following contents:
Performing average value calculation operation on the interaction degree information corresponding to each network training terminal device in the plurality of network training terminal devices to output interaction degree average value information corresponding to the plurality of network training terminal devices, and performing discrete value calculation operation on the interaction degree information corresponding to each network training terminal device according to the interaction degree average value information to output interaction degree discrete value information corresponding to the plurality of network training terminal devices;
performing a target adjustment coefficient determining operation according to the interaction degree discrete value information so as to output a target adjustment coefficient of negative correlation corresponding to the interaction degree discrete value information;
and performing product calculation operation on the target adjustment coefficient and the interaction degree mean value information to output interaction degree update information corresponding to the interaction degree mean value information, and performing classroom training parameter determination operation on the plurality of network training terminal devices according to the interaction degree update information to output target classroom training parameters corresponding to the plurality of network training terminal devices, wherein the target classroom training parameters and the interaction degree update information have a positive correlation, and the target classroom training parameters are used for representing the number of classroom interactions required to be performed in the network training process.
Referring to fig. 3, the embodiment of the invention further provides a training system based on an online interaction classroom, which can be applied to the network training platform. The training system based on the online interaction class can comprise the following software modules:
the video information acquisition module is used for carrying out information acquisition operation on each network training terminal device in the plurality of network training terminal devices so as to acquire a historical monitoring video corresponding to the network training terminal device, wherein the historical monitoring video is formed by carrying out video monitoring on a corresponding network training user when the corresponding network training user receives network training in history based on the corresponding network training terminal device;
the monitoring video analysis module is used for carrying out video analysis operation on the historical monitoring video corresponding to each network training terminal device in the plurality of network training terminal devices so as to output interaction degree information corresponding to the network training terminal device, wherein the interaction degree information is used for representing the class interaction degree of the corresponding network training user when the corresponding network training user receives network training in history;
the training parameter determining module is used for determining classroom training parameters of the plurality of network training terminal devices according to the interaction degree information corresponding to each network training terminal device so as to output target classroom training parameters corresponding to the plurality of network training terminal devices, wherein the target classroom training parameters are used for controlling network training currently performed by the plurality of network training terminal devices.
More specifically, in one implementation, the monitoring video parsing module is specifically configured to:
for each network training terminal device in the plurality of network training terminal devices, performing a first video analysis operation on the historical monitoring video corresponding to the network training terminal device to identify the number of historical monitoring video frames of classroom interaction performed by a network training user corresponding to the network training terminal device in the historical monitoring video, so as to output the statistical number of interaction video frames corresponding to the network training terminal device, and then performing a first interaction coefficient determination operation on the network training terminal device according to the statistical number of interaction video frames so as to output a first interaction coefficient corresponding to the network training terminal device, wherein the first interaction coefficient has a positive correlation relationship with the statistical number of interaction video frames;
for each network training terminal device in the plurality of network training terminal devices, defining each frame of history monitoring video frame of classroom interaction of a network training user corresponding to the network training terminal device in the history monitoring video corresponding to the network training terminal device as an interaction history monitoring video frame, and constructing an interaction video frame ordered set corresponding to the network training terminal device according to each frame of interaction history monitoring video frame and a time sequence corresponding to each frame of interaction history monitoring video frame;
For each network training terminal device in the plurality of network training terminal devices, performing a second video analysis operation according to the ordered set of the interactive video frames corresponding to the network training terminal device so as to output a second interaction coefficient corresponding to the network training terminal device;
and for each network training terminal device in the plurality of network training terminal devices, according to the first interaction coefficient corresponding to the network training terminal device and the second interaction coefficient corresponding to the network training terminal device, integrating and outputting interaction degree information corresponding to the network training terminal device.
More specifically, in one implementation, the training parameter determination module is specifically configured to:
performing average value calculation operation on the interaction degree information corresponding to each network training terminal device in the plurality of network training terminal devices to output interaction degree average value information corresponding to the plurality of network training terminal devices, and performing discrete value calculation operation on the interaction degree information corresponding to each network training terminal device according to the interaction degree average value information to output interaction degree discrete value information corresponding to the plurality of network training terminal devices;
Performing a target adjustment coefficient determining operation according to the interaction degree discrete value information so as to output a target adjustment coefficient of negative correlation corresponding to the interaction degree discrete value information;
and performing product calculation operation on the target adjustment coefficient and the interaction degree mean value information to output interaction degree update information corresponding to the interaction degree mean value information, and performing classroom training parameter determination operation on the plurality of network training terminal devices according to the interaction degree update information to output target classroom training parameters corresponding to the plurality of network training terminal devices, wherein the target classroom training parameters and the interaction degree update information have a positive correlation, and the target classroom training parameters are used for representing the number of classroom interactions required to be performed in the network training process.
In summary, according to the training method and system based on the online interaction class provided by the invention, for each network training terminal device, information acquisition operation is performed on the network training terminal device so as to obtain a corresponding historical monitoring video. And for each network training terminal device, performing video analysis operation on the historical monitoring video corresponding to the network training terminal device so as to output corresponding interaction degree information. And determining classroom training parameters of the plurality of network training terminal devices according to the interaction degree information corresponding to each network training terminal device so as to output target classroom training parameters corresponding to the plurality of network training terminal devices. In the process of determining the target classroom training parameters, the interaction degree information obtained based on the historical monitoring video frames is referred to, so that the determined target classroom training parameters are more matched with the interaction degree of the network training users, the training effect of the online interaction classroom is improved to a certain extent, and the problem of poor network training effect in the prior art is solved.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. The online interaction class-based training method is characterized by being applied to a network training platform, wherein the network training platform is in communication connection with a plurality of network training terminal devices, and the online interaction class-based training method comprises the following steps:
for each network training terminal device in the plurality of network training terminal devices, performing information acquisition operation on the network training terminal device to obtain a historical monitoring video corresponding to the network training terminal device, wherein the historical monitoring video is formed by performing video monitoring on a corresponding network training user when the corresponding network training user historically receives network training based on the corresponding network training terminal device;
for each network training terminal device in the plurality of network training terminal devices, performing video analysis operation on the historical monitoring video corresponding to the network training terminal device to output interaction degree information corresponding to the network training terminal device, wherein the interaction degree information is used for representing class interaction degree of a corresponding network training user when the corresponding network training user receives network training historically;
And determining classroom training parameters of the plurality of network training terminal devices according to the interaction degree information corresponding to each network training terminal device so as to output target classroom training parameters corresponding to the plurality of network training terminal devices, wherein the target classroom training parameters are used for controlling the network training currently performed by the plurality of network training terminal devices.
2. The online interactive classroom-based training method according to claim 1, wherein the step of performing information collection operation on each of the plurality of network training terminal devices to obtain a history monitoring video corresponding to the network training terminal device includes:
generating an information acquisition instruction under the condition that network training users corresponding to each network training terminal device in the plurality of network training terminal devices are required to be subjected to network training currently, and then respectively sending the information acquisition instruction to each network training terminal device in the plurality of network training terminal devices, wherein each network training terminal device is used for transmitting a corresponding historical monitoring video to the network training platform according to the information acquisition instruction;
And for each network training terminal device in the plurality of network training terminal devices, receiving the corresponding historical monitoring video of the network training terminal device in a state that the network training terminal device transmits the corresponding historical monitoring video to the network training platform according to the information acquisition instruction.
3. The online interactive class-based training method according to claim 2, wherein the step of generating an information acquisition instruction in a state where it is determined that network training is currently required for the network training user corresponding to each of the plurality of network training terminal devices, and then transmitting the information acquisition instruction to each of the plurality of network training terminal devices, respectively, comprises:
in a state that network training is required to be conducted on network training users corresponding to each network training terminal device in the plurality of network training terminal devices at present, determining the training content of the network training required to be conducted at present so as to output corresponding target training content;
searching a target historical network training with matched content from historical network training performed in history according to the target training content, and generating a corresponding information acquisition instruction according to target historical training time corresponding to the target historical network training;
And sending the information acquisition instruction to each network training terminal device in the plurality of network training terminal devices, wherein each network training terminal device is used for transmitting a historical monitoring video corresponding to the target historical training time to a network training platform according to the information acquisition instruction.
4. The online interactive classroom-based training method as in claim 3, wherein the step of finding a content-matched target historical network training from a plurality of historical network training performed historically according to the target training content, and generating a corresponding information collection instruction according to a target historical training time corresponding to the target historical network training, comprises:
for each historical network training of a plurality of historical network training performed historically, determining the training content of the historical network training to output corresponding historical training content;
for each historical network training in the plurality of historical network training, performing similarity calculation operation on the historical training content corresponding to the historical network training and the target training content to output content similarity corresponding to the historical network training;
Searching the content similarity with the maximum value from the content similarity corresponding to each historical network training in the plurality of historical network training to define the content similarity as a target content similarity;
and defining the historical network training corresponding to the target content similarity as target historical network training, performing training time determining operation on the target historical network training to output corresponding target historical training time, and generating a corresponding information acquisition instruction according to the target historical training time.
5. The online interactive classroom-based training method according to claim 1, wherein the step of performing video parsing operation on the historical monitoring video corresponding to each of the plurality of network training terminal devices to output the interaction degree information corresponding to the network training terminal device comprises:
for each network training terminal device in the plurality of network training terminal devices, performing a first video analysis operation on the historical monitoring video corresponding to the network training terminal device to identify the number of historical monitoring video frames of classroom interaction performed by a network training user corresponding to the network training terminal device in the historical monitoring video, so as to output the statistical number of interaction video frames corresponding to the network training terminal device, and then performing a first interaction coefficient determination operation on the network training terminal device according to the statistical number of interaction video frames so as to output a first interaction coefficient corresponding to the network training terminal device, wherein the first interaction coefficient has a positive correlation relationship with the statistical number of interaction video frames;
For each network training terminal device in the plurality of network training terminal devices, defining each frame of history monitoring video frame of classroom interaction of a network training user corresponding to the network training terminal device in the history monitoring video corresponding to the network training terminal device as an interaction history monitoring video frame, and constructing an interaction video frame ordered set corresponding to the network training terminal device according to each frame of interaction history monitoring video frame and a time sequence corresponding to each frame of interaction history monitoring video frame;
for each network training terminal device in the plurality of network training terminal devices, performing a second video analysis operation according to the ordered set of the interactive video frames corresponding to the network training terminal device so as to output a second interaction coefficient corresponding to the network training terminal device;
and for each network training terminal device in the plurality of network training terminal devices, according to the first interaction coefficient corresponding to the network training terminal device and the second interaction coefficient corresponding to the network training terminal device, integrating and outputting interaction degree information corresponding to the network training terminal device.
6. The online interactive classroom-based training method according to claim 5, wherein the step of performing, for each of the plurality of network training terminal devices, a second video parsing operation according to the ordered set of interactive video frames corresponding to the network training terminal device to output a second interaction coefficient corresponding to the network training terminal device, includes:
For each network training terminal device in the plurality of network training terminal devices, splitting the ordered set of the interactive video frames corresponding to the network training terminal device according to whether the corresponding time sequences are adjacent or not so as to output at least one ordered sub-set of the interactive video frames corresponding to the network training terminal device, wherein the time sequences between every two adjacent interactive history monitoring video frames included in each ordered sub-set of the interactive video frames in the at least one ordered sub-set of the interactive video frames are adjacent;
for each ordered subset of the interactive video frames in at least one ordered subset of the interactive video frames corresponding to each network training terminal device in the plurality of network training terminal devices, splitting the ordered subset of the interactive video frames according to a preset video frame reference number to output at least one interactive video frame sequence corresponding to the ordered subset of the interactive video frames, wherein the number of interactive historical monitoring video frames included in each interactive video frame sequence in the at least one interactive video frame sequence is smaller than or equal to the video frame reference number;
for each network training terminal device in the plurality of network training terminal devices, performing similarity calculation operation on every two adjacent interactive video frame sequences in time sequence corresponding to the network training terminal device so as to output similarity between every two adjacent interactive video frame sequences in time sequence;
And for each network training terminal device in the plurality of network training terminal devices, fusing the similarity between every two adjacent interaction video frame sequences in time sequence corresponding to the network training terminal device to output the fused similarity corresponding to the network training terminal device, and determining a second interaction coefficient corresponding to the negatively-related network training terminal device according to the fused similarity.
7. The online interactive classroom-based training method as claimed in any one of claims 1 to 6, wherein the step of performing a classroom training parameter determination operation on the plurality of network training terminal devices according to the interaction degree information corresponding to each of the network training terminal devices to output target classroom training parameters corresponding to the plurality of network training terminal devices includes:
performing average value calculation operation on the interaction degree information corresponding to each network training terminal device in the plurality of network training terminal devices to output interaction degree average value information corresponding to the plurality of network training terminal devices, and performing discrete value calculation operation on the interaction degree information corresponding to each network training terminal device according to the interaction degree average value information to output interaction degree discrete value information corresponding to the plurality of network training terminal devices;
Performing a target adjustment coefficient determining operation according to the interaction degree discrete value information so as to output a target adjustment coefficient of negative correlation corresponding to the interaction degree discrete value information;
and performing product calculation operation on the target adjustment coefficient and the interaction degree mean value information to output interaction degree update information corresponding to the interaction degree mean value information, and performing classroom training parameter determination operation on the plurality of network training terminal devices according to the interaction degree update information to output target classroom training parameters corresponding to the plurality of network training terminal devices, wherein the target classroom training parameters and the interaction degree update information have a positive correlation, and the target classroom training parameters are used for representing the number of classroom interactions required to be performed in the network training process.
8. The utility model provides a training system based on online interactive classroom, which is characterized in that is applied to the network training platform, network training platform communication connection has a plurality of network training terminal equipment, the training system based on online interactive classroom includes:
the video information acquisition module is used for carrying out information acquisition operation on each network training terminal device in the plurality of network training terminal devices so as to acquire a historical monitoring video corresponding to the network training terminal device, wherein the historical monitoring video is formed by carrying out video monitoring on a corresponding network training user when the corresponding network training user receives network training in history based on the corresponding network training terminal device;
The monitoring video analysis module is used for carrying out video analysis operation on the historical monitoring video corresponding to each network training terminal device in the plurality of network training terminal devices so as to output interaction degree information corresponding to the network training terminal device, wherein the interaction degree information is used for representing the class interaction degree of the corresponding network training user when the corresponding network training user receives network training in history;
the training parameter determining module is used for determining classroom training parameters of the plurality of network training terminal devices according to the interaction degree information corresponding to each network training terminal device so as to output target classroom training parameters corresponding to the plurality of network training terminal devices, wherein the target classroom training parameters are used for controlling network training currently performed by the plurality of network training terminal devices.
9. The online interactive classroom-based training system of claim 8, wherein the surveillance video parsing module is specifically configured to:
for each network training terminal device in the plurality of network training terminal devices, performing a first video analysis operation on the historical monitoring video corresponding to the network training terminal device to identify the number of historical monitoring video frames of classroom interaction performed by a network training user corresponding to the network training terminal device in the historical monitoring video, so as to output the statistical number of interaction video frames corresponding to the network training terminal device, and then performing a first interaction coefficient determination operation on the network training terminal device according to the statistical number of interaction video frames so as to output a first interaction coefficient corresponding to the network training terminal device, wherein the first interaction coefficient has a positive correlation relationship with the statistical number of interaction video frames;
For each network training terminal device in the plurality of network training terminal devices, defining each frame of history monitoring video frame of classroom interaction of a network training user corresponding to the network training terminal device in the history monitoring video corresponding to the network training terminal device as an interaction history monitoring video frame, and constructing an interaction video frame ordered set corresponding to the network training terminal device according to each frame of interaction history monitoring video frame and a time sequence corresponding to each frame of interaction history monitoring video frame;
for each network training terminal device in the plurality of network training terminal devices, performing a second video analysis operation according to the ordered set of the interactive video frames corresponding to the network training terminal device so as to output a second interaction coefficient corresponding to the network training terminal device;
and for each network training terminal device in the plurality of network training terminal devices, according to the first interaction coefficient corresponding to the network training terminal device and the second interaction coefficient corresponding to the network training terminal device, integrating and outputting interaction degree information corresponding to the network training terminal device.
10. The online interactive classroom-based training system of claim 8, wherein the training parameter determination module is specifically configured to:
Performing average value calculation operation on the interaction degree information corresponding to each network training terminal device in the plurality of network training terminal devices to output interaction degree average value information corresponding to the plurality of network training terminal devices, and performing discrete value calculation operation on the interaction degree information corresponding to each network training terminal device according to the interaction degree average value information to output interaction degree discrete value information corresponding to the plurality of network training terminal devices;
performing a target adjustment coefficient determining operation according to the interaction degree discrete value information so as to output a target adjustment coefficient of negative correlation corresponding to the interaction degree discrete value information;
and performing product calculation operation on the target adjustment coefficient and the interaction degree mean value information to output interaction degree update information corresponding to the interaction degree mean value information, and performing classroom training parameter determination operation on the plurality of network training terminal devices according to the interaction degree update information to output target classroom training parameters corresponding to the plurality of network training terminal devices, wherein the target classroom training parameters and the interaction degree update information have a positive correlation, and the target classroom training parameters are used for representing the number of classroom interactions required to be performed in the network training process.
CN202310474392.4A 2023-04-28 2023-04-28 Training method and system based on online interaction class Withdrawn CN116665497A (en)

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