CN116167898A - Network course management method, device, terminal and storage medium based on image data analysis - Google Patents
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Abstract
The application discloses a network course management method, a device, a terminal and a storage medium based on image data analysis, wherein the method comprises the following steps: requesting the equipment authority of the network course teaching system, and acquiring network course video and post-course operation pictures in the network course teaching system; establishing a corresponding time axis, wherein nodes on the time axis correspond to frames of the network course video one by one, disassembling the network course video frame by frame, and selecting a frame of video image with operation content as a standard operation picture; obtaining operation similarity scores by using an image comparison technology and combining standard operation pictures and post-class operation pictures, and feeding back the operation similarity scores to a student end; and matching the playing time of the student end with the time axis to obtain video watching effect evaluation and feeding the video watching effect evaluation back to the teacher end. The scheme of the invention is based on an image data analysis technology, which not only helps a learner to fully know own learning quality and learning results, but also helps the learner to obtain timely feedback after course teaching is finished.
Description
Technical Field
The application relates to a network course management scheme, in particular to a network course management method, device, terminal and storage medium based on image data analysis, and belongs to the technical field of artificial intelligence and image data analysis.
Background
Remote education is one of modern education modes, and with the continuous development and alternation of internet technology in recent years, network course education developed by using network technology and environment gradually becomes the most important implementation mode in remote education.
At present, the content of the online course education is various and is not limited to the learning of the traditional knowledge, and a learner can learn a plurality of practical courses even through the online course. The part of online course education focuses on training the practical ability of learners, and the learners can synchronously complete the production of certain articles/jobs according to the content of the online course.
However, considering the specificity of the online course education, the whole interaction process is not a traditional point-to-point learning mode of 'teacher-student', and many learners cannot or are not expected to interact with the learner in the process of playing the online course, so that the learner cannot know own learning quality and learning result, and the learner cannot obtain timely feedback and cannot improve own teaching quality.
In summary, how to provide a network course management scheme capable of solving the above problems, so that both learners and teachers can obtain corresponding result feedback efficiently and timely, and the quality and level of network course education are improved, which is also a common concern for those skilled in the art.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the present invention provides a network course management method, device, terminal and storage medium based on image data analysis, which are specifically as follows.
The network course management method based on image data analysis is adapted to a network course teaching system, the network course teaching system comprises at least one teacher end device and at least one student end device, the teacher end device is connected with the student end device through signals, and the method comprises the following steps:
requesting the equipment authority of the network course teaching system, and acquiring network course video and post-class operation pictures in the network course teaching system after the equipment authority is authorized;
establishing a corresponding time axis for the network course video, wherein nodes on the time axis correspond to frames of the network course video one by one, disassembling the network course video frame by frame according to the nodes, and selecting a frame of video image with operation content from all disassembled video frames as a standard operation picture;
obtaining homework similarity scores by combining the standard homework pictures and the post-class homework pictures through an image comparison technology, and feeding the homework similarity scores back to the student ends;
when the student end plays the network course video, matching the video playing time of the student end with the time axis to obtain video watching information, obtaining video watching effect evaluation according to the video watching information, and feeding back the student end and the teacher end respectively.
Preferably, after the device authority of the network course teaching system is authorized, the network course video and the post-course operation picture in the network course teaching system are obtained, and the method comprises the following steps:
requesting the authority of the teacher side equipment in the network course teaching system, and acquiring network course video uploaded by the teacher side equipment after the authority is obtained;
and requesting the authority of the student end equipment in the network course teaching system, and acquiring the post-class homework picture uploaded by the student end equipment after the authority is obtained.
Preferably, the step of obtaining the job similarity score by combining the standard job picture and the post-class job picture by using an image comparison technology and feeding the job similarity score back to the student end includes the following steps:
and carrying out image comparison on the standard homework picture and the post-class homework picture by using an image comparison technology, wherein the image comparison technology is an image similarity matching algorithm, so as to obtain a matching degree result, and feeding the matching degree result back to the student end as a homework similarity score.
Preferably, when the student end plays the network course video, matching the video playing time of the student end with the time axis, obtaining video watching information, obtaining video watching effect evaluation according to the video watching information, and feeding back the student end and the teacher end respectively, wherein the method comprises the following steps:
when the student side plays the network course video, matching the video playing time of the student side with the time axis to obtain video watching information;
screening out the starting and stopping frames of the longest single-time watching duration, repeated watching duration and repeated watching time period according to the video watching information;
and calculating the ratio of the longest single watching duration to the total duration of the network course video to obtain the complete video play rate, determining video key segments based on the repeated watching duration and the start and stop frames of the repeated watching time period, taking the complete video play rate and the video key segments as video watching effect evaluation, and feeding back the student end and the teacher end respectively.
Secondly, a network course management device based on image data analysis is adapted to a network course teaching system, the network course teaching system comprises at least one teacher end device and at least one student end device, the teacher end device is connected with the student end device through signals, and the device comprises:
the information acquisition module is configured to request the equipment authority of the network course teaching system, and acquire network course video and post-class operation pictures in the network course teaching system after being authorized;
the video disassembling module is configured to establish a corresponding time axis for the network course video, nodes on the time axis correspond to frames of the network course video one by one, the network course video is disassembled frame by frame according to the nodes, and a frame of video image with operation content is selected from all the disassembled video frames to serve as a standard operation picture;
the image comparison module is configured to obtain an homework similarity score by combining the standard homework picture and the post-class homework picture by using an image comparison technology and feed the homework similarity score back to the student end;
and the effect evaluation module is configured to match the video playing time of the student terminal with the time axis when the student terminal plays the network course video, acquire video watching information, acquire video watching effect evaluation according to the video watching information, and respectively feed back the student terminal and the teacher terminal.
Preferably, the information acquisition module includes:
the first information acquisition unit is configured to request the authority of the teacher side equipment in the network course teaching system, and acquire the network course video uploaded by the teacher side equipment after being authorized;
the second information acquisition unit is configured to request the authority of the student end equipment in the network course teaching system, and acquire the post-class homework picture uploaded by the student end equipment after the authority is obtained.
Preferably, the image comparison module includes:
the image comparison unit is configured to perform image comparison on the standard homework picture and the post-class homework picture by using an image comparison technology, wherein the image comparison technology is an image similarity matching algorithm, a matching degree result is obtained, and the matching degree result is used as a homework similarity score and fed back to the student end.
Preferably, the effect evaluation module includes:
the first effect evaluation unit is configured to match the video playing time of the student terminal with the time axis and acquire video watching information when the student terminal plays the network course video;
the second effect evaluation unit is configured to screen out the longest single-time watching duration, repeated watching duration and starting and stopping frames of the repeated watching time period according to the video watching information;
the third effect evaluation unit is configured to obtain a video complete play rate by calculating the ratio of the longest single-time watching duration to the total duration of the network course video, determine a video key segment based on the repeated watching duration and the start and stop frames of the repeated watching time period, and take the video complete play rate and the video key segment as video watching effect evaluation to feed back the student end and the teacher end respectively.
Third, a terminal includes a memory, a processor, and a computer program stored in the memory and executable on the processor, which when executed implements the steps in the network lesson management method based on image data analysis as described above.
Fourth, a computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps in the network lesson management method based on image data analysis as described above.
The advantages of the invention are mainly embodied in the following aspects:
the network course management method provided by the invention is based on the image data analysis technology and is matched with the hardware conditions in the network course education scene, thereby not only helping a learner to fully know the self learning quality and learning result in the course learning process, but also helping a learner to obtain timely feedback after the course teaching is finished, and further improving the quality level of the learner in the subsequent teaching process.
Corresponding to the method, the network course management device, the terminal and the storage medium provided by the invention realize the control of the whole link of the network course education by systematic and standardized processing flow, further provide technical support for a series of operations such as subsequent course playback, course summarization and the like, have higher suitability and compatibility of hardware schemes, and can be practically applied to various online teaching scenes.
The invention also provides reference for other technical schemes related to network courses, can be used for expanding and deep research based on the reference, and has very wide application prospect.
The following detailed description of the embodiments of the present invention is provided with reference to the accompanying drawings, so that the technical scheme of the present invention can be understood and mastered more easily.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, are included to provide a further understanding of the application and to provide a further understanding of the application with regard to the other features, objects and advantages of the application. The drawings of the illustrative embodiments of the present application and their descriptions are for the purpose of illustrating the present application and are not to be construed as unduly limiting the present application. In the drawings:
FIG. 1 is a flow chart of a network course management method according to an embodiment of the invention;
FIG. 2 is a schematic diagram of a network curriculum management device according to an embodiment of the invention.
Detailed Description
In order to enable those skilled in the art to better understand the present application, the following description will make clear and complete descriptions of the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application.
In one aspect, the invention relates to a network course management method based on image data analysis, which is adapted to a network course teaching system, wherein the network course teaching system comprises at least one teacher end device and at least one student end device, and the teacher end device is in signal connection with the student end devices.
As shown in fig. 1, a network course management method based on image data analysis in an embodiment of the present invention includes the following steps:
s1, requesting the equipment authority of the network course teaching system, and acquiring a network course video and a post-course operation picture in the network course teaching system after the equipment authority is authorized;
the network course teaching system can be divided into a teacher end and a student end for realizing different functions, wherein the teacher end can conduct homework auditing, modifying and comparing, the student end can upload homework, review past homework conditions and review the recorded conditions of the teacher end.
Further, according to the condition that different equipment authorities are authorized, respectively acquiring network course video and post-class operation pictures in the network course teaching system,
this step specifically includes the following procedure.
S11, requesting the authority of the teacher side equipment in the network course teaching system, and acquiring network course video uploaded by the teacher side equipment after the authority is obtained;
and S12, requesting the authority of the student end equipment in the network course teaching system, and acquiring a post-class homework picture uploaded by the student end equipment after the authority is obtained.
Illustratively, the teacher end device can upload network course videos for remote teaching and the student end for reviewing the forward knowledge points;
the student terminal equipment can upload the post-class homework pictures for teachers to modify homework and annotate, so that the history of student errors can be analyzed conveniently, and targeted teaching management can be performed.
S2, establishing a corresponding time axis for the network course video, wherein nodes on the time axis correspond to frames of the network course video one by one, disassembling the network course video frame by frame according to the nodes, and selecting a frame of video image with operation content from all disassembled video frames to serve as a standard operation picture.
In the embodiment of the disclosure, a corresponding time axis can be established for the network course video, and the time nodes are corresponding to the video frames one by one, so that the video frames can be disassembled frame by frame conveniently;
in practical application, the angle, definition and the picture integrity of the uploaded homework of students are often not ideal enough, and a teacher needs to adjust videos or pictures for multiple times to determine the practical homework content, so that the workload of the teacher is greatly increased, and the video image with the homework content can be directly determined from videos to adjust by selecting one frame of video image with the homework content from all disassembled video frames as a standard homework picture, so that the workload of the teacher is greatly reduced.
S3, obtaining an homework similarity score by combining the standard homework picture and the post-class homework picture by using an image comparison technology, and feeding the homework similarity score back to the student end; this step specifically includes the following procedure.
And comparing the standard homework picture with the post-class homework picture by using an image comparison technology, wherein in the embodiment, the image comparison technology is an image similarity matching algorithm, a matching result is obtained, and the matching result is used as a homework similarity score to be fed back to the student end.
For example, after the standard job picture is determined, the standard job picture can be compared with an actual post-class job picture, and the similarity of fonts between the standard job picture and the actual post-class job picture is compared; in practical application, if the similarity between the actual post-class homework picture and the standard homework picture exceeds a preset threshold, whether the shot content is problematic or not can be further judged, for example, the shot angle is not complete enough, the shot definition is not complete enough, or the homework content itself is incomplete, so that students can upload or supplement the homework content again.
S4, when the student end plays the network course video, matching the video playing time of the student end with the time axis to obtain video watching information, obtaining video watching effect evaluation according to the video watching information, and feeding back the student end and the teacher end respectively;
this step specifically includes the following procedure.
S41, when the student end plays the network course video, matching the video playing time of the student end with the time axis to obtain video watching information;
s42, screening out the longest single-time watching duration, repeated watching duration and starting and stopping frames of the repeated watching time period according to the video watching information;
for example, the video viewing information may feed back the student's learning condition for the net lesson, where the longest single viewing duration may reflect the student's longest learning time; the repeated watching time length can reflect that students are not familiar with a certain part of knowledge points or the course explanation uploaded by the teacher end is not detailed enough; the start-stop frames of the repeated watching time can be quickly positioned to the problematic part of the course, so that the problem can be found out in time and can be adjusted in time.
S43, obtaining a video complete play rate by calculating the ratio of the longest single-time watching duration to the total duration of the network course video, determining a video key segment based on the repeated watching duration and the starting and ending frames of the repeated watching time period, taking the video complete play rate and the video key segment as video watching effect evaluation, and feeding back the student end and the teacher end respectively.
The video complete play rate is obtained by calculating the ratio of the longest single watching duration to the total duration of the network course video to represent the completeness of learning of the student, if the video complete play rate is lower than a certain value, the student can be judged to have poor learning effect on the course, and the teacher end is required to further follow up;
and taking the complete video play rate and the video key segments as video watching effect evaluation and feeding back the student end and the teacher end respectively, wherein the student end can further review relevant knowledge points for reinforcement learning or perfecting course learning, and the teacher end can further perfect courses or further monitor specific students for course learning.
The video complete play rate can be used for roughly evaluating the lesson completion rate of a student end in the video play process, so that the concentration of a learner is judged; the video key segments not only can help the learner to consolidate the subsequent learning content, but also can help the learner to know the most understandable part of course content of the learner, thereby considering whether the corresponding part of course content needs to be adjusted and modified.
In summary, the network course management method provided by the invention is based on the image data analysis technology and is matched with the hardware conditions in the network course education scene, thereby not only helping the learner to fully understand the learning quality and learning result of the learner in the course learning process, but also helping the learner to obtain timely feedback after the course teaching is finished, and further improving the quality level of the learner in the subsequent teaching process.
On the other hand, the invention also relates to a network course management device based on image data analysis, the architecture of which is shown in fig. 2, and the network course management device is adapted to a network course teaching system, the network course teaching system comprises at least one teacher end device and at least one student end device, the teacher end device is connected with the student end device through signals, and the device comprises:
the information acquisition module is configured to request the equipment authority of the network course teaching system, and acquire network course video and post-class operation pictures in the network course teaching system after being authorized;
the video disassembling module is configured to establish a corresponding time axis for the network course video, nodes on the time axis correspond to frames of the network course video one by one, the network course video is disassembled frame by frame according to the nodes, and a frame of video image with operation content is selected from all the disassembled video frames to serve as a standard operation picture;
the image comparison module is configured to obtain an homework similarity score by combining the standard homework picture and the post-class homework picture by using an image comparison technology and feed the homework similarity score back to the student end;
and the effect evaluation module is configured to match the video playing time of the student terminal with the time axis when the student terminal plays the network course video, acquire video watching information, acquire video watching effect evaluation according to the video watching information, and respectively feed back the student terminal and the teacher terminal.
In one possible implementation manner, the information obtaining module includes:
the first information acquisition unit is configured to request the authority of the teacher side equipment in the network course teaching system, and acquire the network course video uploaded by the teacher side equipment after being authorized;
the second information acquisition unit is configured to request the authority of the student end equipment in the network course teaching system, and acquire the post-class homework picture uploaded by the student end equipment after the authority is obtained.
In one possible implementation manner, the image comparison module includes:
the image comparison unit is configured to perform image comparison on the standard homework picture and the post-class homework picture by using an image comparison technology, wherein the image comparison technology is an image similarity matching algorithm, a matching degree result is obtained, and the matching degree result is used as a homework similarity score and fed back to the student end.
In one possible implementation manner, the effect evaluation module includes:
the first effect evaluation unit is configured to match the video playing time of the student terminal with the time axis and acquire video watching information when the student terminal plays the network course video;
the second effect evaluation unit is configured to screen out the longest single-time watching duration, repeated watching duration and starting and stopping frames of the repeated watching time period according to the video watching information;
the third effect evaluation unit is configured to obtain a video complete play rate by calculating the ratio of the longest single-time watching duration to the total duration of the network course video, determine a video key segment based on the repeated watching duration and the start and stop frames of the repeated watching time period, and take the video complete play rate and the video key segment as video watching effect evaluation to feed back the student end and the teacher end respectively.
In yet another aspect, the invention also relates to a terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, which processor, when executing the computer program, implements the steps of the method for intelligent identification of goods as described hereinbefore, such as the steps shown in fig. 1. Alternatively, the processor may implement the functions of the modules/units in the above-described embodiments of the apparatus when executing the computer program, for example, the functions of the modules/units shown in fig. 2.
In yet another aspect, the invention also relates to a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps in the intelligent identification method of goods as described hereinbefore.
The readable storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media can be any available media that can be accessed by a general purpose or special purpose computer. For example, a readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium. In the alternative, the readable storage medium may be integral to the processor. The processor and the readable storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuits, ASIC). In addition, the ASIC may reside in a user device. The processor and the readable storage medium may reside as discrete components in a communication device. The readable storage medium may be read-only memory (ROM), random-access memory (RAM), CD-ROMs, magnetic tape, floppy disk, optical data storage device, etc.
Corresponding to the method, the network course management device, the terminal and the storage medium provided by the invention realize the control of the whole link of the network course education by systematic and standardized processing flow, further provide technical support for a series of operations such as subsequent course playback, course summarization and the like, have higher suitability and compatibility of hardware schemes, and can be practically applied to various online teaching scenes.
The invention also provides reference for other technical schemes related to network courses, can be used for expanding and deep research based on the reference, and has very wide application prospect.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Finally, it should be understood that although the present disclosure describes embodiments, not every embodiment is intended to include only a single embodiment, and that this description is for clarity only, and that those skilled in the art will recognize that the embodiments described herein may be suitably combined to form other embodiments as would be understood by those skilled in the art.
Claims (10)
1. The network course management method based on image data analysis is adapted to a network course teaching system, the network course teaching system comprises at least one teacher end device and at least one student end device, and the teacher end device is in signal connection with the student end device, and the method is characterized by comprising the following steps:
requesting the equipment authority of the network course teaching system, and acquiring network course video and post-class operation pictures in the network course teaching system after the equipment authority is authorized;
establishing a corresponding time axis for the network course video, wherein nodes on the time axis correspond to frames of the network course video one by one, disassembling the network course video frame by frame according to the nodes, and selecting a frame of video image with operation content from all disassembled video frames as a standard operation picture;
obtaining homework similarity scores by combining the standard homework pictures and the post-class homework pictures through an image comparison technology, and feeding the homework similarity scores back to the student ends;
when the student end plays the network course video, matching the video playing time of the student end with the time axis to obtain video watching information, obtaining video watching effect evaluation according to the video watching information, and feeding back the student end and the teacher end respectively.
2. The network course management method based on image data analysis according to claim 1, wherein the step of obtaining the network course video and the post-course work picture in the network course teaching system after the device authority of the network course teaching system is authorized, comprises the steps of:
requesting the authority of the teacher side equipment in the network course teaching system, and acquiring network course video uploaded by the teacher side equipment after the authority is obtained;
and requesting the authority of the student end equipment in the network course teaching system, and acquiring the post-class homework picture uploaded by the student end equipment after the authority is obtained.
3. The network lesson management method based on image data analysis according to claim 2, wherein the step of obtaining an homework similarity score by combining the standard homework picture and the post-class homework picture by using an image comparison technology and feeding the homework similarity score back to the student end comprises the following steps:
and carrying out image comparison on the standard homework picture and the post-class homework picture by using an image comparison technology, wherein the image comparison technology is an image similarity matching algorithm, so as to obtain a matching degree result, and feeding the matching degree result back to the student end as a homework similarity score.
4. The network lesson management method based on image data analysis according to claim 3, wherein when the student side plays the network lesson video, matching the video playing time of the student side with the time axis, obtaining video viewing information, obtaining video viewing effect evaluation according to the video viewing information, and feeding back the student side and the teacher side respectively, the method comprises the following steps:
when the student side plays the network course video, matching the video playing time of the student side with the time axis to obtain video watching information;
screening out the starting and stopping frames of the longest single-time watching duration, repeated watching duration and repeated watching time period according to the video watching information;
and calculating the ratio of the longest single watching duration to the total duration of the network course video to obtain the complete video play rate, determining video key segments based on the repeated watching duration and the start and stop frames of the repeated watching time period, taking the complete video play rate and the video key segments as video watching effect evaluation, and feeding back the student end and the teacher end respectively.
5. The network course management device based on image data analysis is adapted to a network course teaching system, the network course teaching system comprises at least one teacher end device and at least one student end device, and the teacher end device is in signal connection with the student end device, and the device is characterized by comprising:
the information acquisition module is configured to request the equipment authority of the network course teaching system, and acquire network course video and post-class operation pictures in the network course teaching system after being authorized;
the video disassembling module is configured to establish a corresponding time axis for the network course video, nodes on the time axis correspond to frames of the network course video one by one, the network course video is disassembled frame by frame according to the nodes, and a frame of video image with operation content is selected from all the disassembled video frames to serve as a standard operation picture;
the image comparison module is configured to obtain an homework similarity score by combining the standard homework picture and the post-class homework picture by using an image comparison technology and feed the homework similarity score back to the student end;
and the effect evaluation module is configured to match the video playing time of the student terminal with the time axis when the student terminal plays the network course video, acquire video watching information, acquire video watching effect evaluation according to the video watching information, and respectively feed back the student terminal and the teacher terminal.
6. The image data analysis-based network lesson management apparatus according to claim 5, wherein the information acquisition module comprises:
the first information acquisition unit is configured to request the authority of the teacher side equipment in the network course teaching system, and acquire the network course video uploaded by the teacher side equipment after being authorized;
the second information acquisition unit is configured to request the authority of the student end equipment in the network course teaching system, and acquire the post-class homework picture uploaded by the student end equipment after the authority is obtained.
7. The image data analysis-based network lesson management apparatus according to claim 6, wherein the image comparison module comprises:
the image comparison unit is configured to perform image comparison on the standard homework picture and the post-class homework picture by using an image comparison technology, wherein the image comparison technology is an image similarity matching algorithm, a matching degree result is obtained, and the matching degree result is used as a homework similarity score and fed back to the student end.
8. The network lesson management method based on image data analysis according to claim 7, wherein the effect evaluation module comprises:
the first effect evaluation unit is configured to match the video playing time of the student terminal with the time axis and acquire video watching information when the student terminal plays the network course video;
the second effect evaluation unit is configured to screen out the longest single-time watching duration, repeated watching duration and starting and stopping frames of the repeated watching time period according to the video watching information;
the third effect evaluation unit is configured to obtain a video complete play rate by calculating the ratio of the longest single-time watching duration to the total duration of the network course video, determine a video key segment based on the repeated watching duration and the start and stop frames of the repeated watching time period, and take the video complete play rate and the video key segment as video watching effect evaluation to feed back the student end and the teacher end respectively.
9. A terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the network lesson management method based on image data analysis as claimed in any one of claims 1 to 4.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the steps of the image data analysis-based network lesson management method according to any one of claims 1 to 4.
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