An online learning courseware resource management system and management method

Abstract

The invention relates to the technical field of learning management, and specifically discloses an online learning courseware resource management system and a management method, comprising: identifying courseware frames; marking courseware pages; generating courseware; analyzing the newly added content of the courseware pages, dividing the courseware pages into note pages and handout pages; generating notes; generating handouts; based on the content changes of the handout pages and the number of courseware frames in the handout pages, analyzing the importance of the handout page content and marking important handouts; based on the marking of key handout pages, analyzing the importance of the handout pages again and marking key handouts for the second time; through intelligent analysis and management, the invention not only realizes the automatic generation and efficient classification of courseware resources, but also accurately identifies and marks the core content in the handouts, providing learners with more accurate and efficient learning guidance.

Description

Technical Field

[0001] The present invention relates to the technical field of learning management, and in particular to an online learning courseware resource management system and a management method. Background Art

[0002] With the rapid development of Internet technology, online learning has become an important way for people to acquire knowledge and improve skills. However, the courseware resources on online learning platforms are becoming increasingly abundant. How to effectively manage these resources, ensure the accuracy, timeliness and security of the resources, and realize intelligent recommendation of resources has become a problem that needs to be solved urgently. Most of the existing management methods have problems such as unclear resource classification, low retrieval efficiency, and inaccurate personalized recommendation. Students need to manually record the courseware content, which is not only inefficient but also easy to miss important information, affecting the user's learning efficiency and satisfaction. Therefore, the present invention proposes an online learning courseware resource management system and management method, which aims to automatically extract and generate handouts through video content recognition technology, and mark key courseware pages to improve learning efficiency and teaching quality. Summary of the invention

[0003] The purpose of the present invention is to provide an online learning courseware resource management system and management method to solve the technical problems in the above background.

[0004] The purpose of the present invention can be achieved through the following technical solutions: In a first aspect, the present invention provides an online learning courseware resource management method, comprising: Step 1: Analyze the recorded video content, identify the frames containing the courseware images, and mark them as courseware frames; Step 2: Compare and analyze two adjacent courseware frames to obtain the overlapping content ratio, and mark the courseware pages based on the overlapping content ratio; Step 3: extract the first courseware frame of all courseware pages, and sort them according to the time sequence of the first courseware frame of each courseware page to generate courseware; Step 4: Analyze the newly added content of the courseware page and divide the courseware page into note page and handout page; Step 5: extract the first courseware frame of all courseware pages, and sort them according to the time sequence of the first courseware frame of each courseware page to generate notes; Step 6: extract the first courseware frame of all lecture pages, and sort them according to the time sequence of the first courseware frame of each lecture page to generate lecture notes; Step 7: Based on the content changes of the handout page and the number of courseware frames in the handout page, analyze the importance of the handout page content and mark the important handouts; Step 8: Based on the marking of key lecture pages, analyze the importance of the lecture pages again and mark the key lecture pages a second time.

[0005] As a further solution of the present invention: the process of obtaining the overlap content ratio is: Based on two adjacent courseware frames, according to the time sequence of the recorded video, the courseware frame closer in time is marked as the comparison courseware frame, and the courseware frame closer in time is marked as the analysis courseware frame; Extracting the content in the comparison courseware frame to obtain the content volume of the comparison courseware frame, and at the same time, extracting the content in the analysis courseware frame to obtain the content volume of the analysis courseware frame; The content volume of the comparison courseware frame and the content volume of the analysis courseware frame are summed up to obtain the total content volume; Then, the contents in the comparison courseware frame and the analysis courseware frame are overlapped and compared to analyze to obtain the amount of overlapped contents; The overlapping content volume is ratioed to the total content volume to obtain the overlapping content ratio.

[0006] As a further solution of the present invention: the process of dividing the courseware frames based on the overlapping content comparison is: Preset the overlap content ratio threshold, and compare and analyze the overlap content ratio with the overlap content ratio threshold; If the overlap content ratio is greater than the overlap content ratio threshold, a content unchanged signal is generated and the comparison courseware frame is marked as courseware frame KJ i,m , among which, KJ i,m It is represented as the mth courseware frame on the i-th courseware page, and the analyzed courseware frame is marked as courseware frame KJ i,m+1 , among which, KJ i,m+1 It is represented as the m+1th courseware frame on the i-th courseware page; If the overlap content ratio is less than or equal to the overlap content ratio threshold, a content change signal is generated and the comparison courseware frame is marked as courseware frame KJ i,n , among which, KJ i,n It is represented as the nth courseware frame on the i-th courseware page, and the analyzed courseware frame is marked as courseware frame KJ i+1,1 , among which, KJ i+1,1 Represented as the first courseware frame on the i+1th courseware page.

[0007] As a further solution of the present invention, the process of analyzing the newly added content of the courseware page and dividing the courseware page into a note page and a handout page is as follows: Based on any courseware page, extract the content volume of the first courseware frame of the courseware page, analyze the content volume of the courseware frame and the overlapped content volume, so as to calculate the new content ratio; Preset a new content ratio threshold, and compare and analyze the new content ratio with the new content ratio threshold; If the new content ratio is greater than the new content ratio threshold, the courseware page is marked as a note page; If the new content ratio is less than or equal to the new content ratio threshold, the courseware page is marked as a handout page.

[0008] As a further solution of the present invention: the process of obtaining the new content ratio is: By formula: , calculate and obtain the new content ratio XZ, where DB is the content volume of the comparison courseware frame, FX is the content volume of the analysis courseware frame, and CH is the overlapping content volume.

[0009] As a further solution of the present invention: based on the content changes of the lecture page and the number of courseware frames in the lecture page, the importance of the lecture page content is analyzed and the process of marking important lectures is as follows: Based on any lecture page, extract the first courseware frame of the lecture page, mark it as the initial frame of the lecture, and obtain the content volume in the initial frame of the lecture to obtain the initial content volume; Based on the lecture page, combine the lecture page with all subsequent coherent note pages to obtain a lecture group, extract the last courseware frame of the lecture group, mark it as the lecture end frame, and obtain the content amount in the lecture end frame to obtain the end content amount; Then the difference between the final content volume and the initial content volume is calculated to obtain the changed content volume; Then extract the number of courseware frames in the lecture group to obtain the number of lecture courseware frames, and then calculate the key lecture representation value based on the amount of changed content and the number of lecture courseware frames; Preset the key lecture representation threshold, and compare and analyze the key lecture representation value with the key lecture representation threshold; If the key lecture representation value is less than or equal to the key lecture representation threshold, the lecture page will not be marked; If the key lecture representation value is greater than the key lecture representation threshold, the lecture page is marked as a key lecture page.

[0010] As a further solution of the present invention: the process of obtaining the key lecture characterization value is: By formula: , calculate and obtain the key lecture characterization value ZD, where a1 and a2 are preset scale factors, and both are greater than 0, BH is the amount of changed content, and ZS is the number of frames of the lecture courseware.

[0011] As a further solution of the present invention: based on the marking of the key lecture pages, the importance of the lecture pages is analyzed again, and the process of marking the key lecture pages again is as follows: Extract the consecutive key lecture pages from all the lecture pages, mark them into one or more key lecture groups, and calculate the lecture group key representation value of each key lecture group; Preset the lecture group key characterization threshold, and compare and analyze the lecture group key characterization value with the lecture group key characterization threshold; If the lecture group emphasis characterization value is less than or equal to the lecture group emphasis characterization threshold, then all the emphasis lecture pages in the emphasis lecture group will not be marked as emphasis lectures twice; If the lecture group emphasis characterization value is greater than the lecture group emphasis characterization threshold, all the emphasis lecture pages in the emphasis lecture group will be marked as emphasis lecture pages for the second time, and all the emphasis lecture pages in the emphasis lecture group will be marked as two-star emphasis lecture pages.

[0012] As a further solution of the present invention: the process of obtaining the key characterization value of the lecture group is: By formula: , calculate and obtain the key characterization value JZ of the lecture group, where Y f is the key lecture representation value of the fth key lecture page, the value of f is 1, 2, 3, ..., F, F is the total number of key lecture pages in the key lecture group, is the number of frames of the lecture notes on the fth key lecture page, It is the total number of lecture courseware frames of all key lecture pages in the key lecture group.

[0013] In a second aspect, the present invention provides an online learning courseware resource management system, the system comprising: Courseware frame extraction module: analyzes the recorded video content, identifies frames containing courseware images, and marks them as courseware frames; Courseware frame division module: compare and analyze two adjacent courseware frames, obtain the overlapping content ratio, and mark the courseware pages based on the overlapping content ratio; Courseware generation module: extract the first courseware frame of all courseware pages, and sort them according to the time sequence of the first courseware frame of each courseware page to generate courseware; Courseware page analysis module: analyzes the newly added content of the courseware page and divides the courseware page into note pages and handout pages; Note generation module: extract the first courseware frame of all courseware pages, sort them according to the time sequence of the first courseware frame of each courseware page, and generate notes; Handout generation module: extract the first courseware frame of all handout pages, and sort them according to the time sequence of the first courseware frame of each handout page to generate handouts; Key lecture marking module: Based on the content changes of the lecture page and the number of courseware frames in the lecture page, the importance of the lecture page content is analyzed and important lecture notes are marked; Secondary emphasis marking module: Based on the marking of key lecture pages, the importance of the lecture pages is analyzed again and secondary emphasis lecture marking is performed.

[0014] Beneficial effects of the present invention: (1) The present invention significantly improves the efficiency and accuracy of courseware production. By reducing manual operations, it not only reduces the burden on teachers, but also improves students' learning experience, making the management of courseware resources more efficient and convenient; (2) Through intelligent analysis and management, the present invention not only realizes the automatic generation and efficient classification of courseware resources, but also accurately identifies and marks the core content of the handouts, providing learners with more accurate and efficient learning guidance. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention will be further described below in conjunction with the accompanying drawings.

[0016] Figure 1 It is a flowchart of the present invention; Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Embodiment 1: See also Figure 1 As shown, an online learning courseware resource management method described in an embodiment of the present invention includes: automatically extracting and generating courseware based on video content recognition technology, thereby effectively solving the problem of low efficiency and easy omission of students manually recording courseware content in the traditional teaching mode, specifically: Step 1: Analyze the recorded video content, identify the frames containing the courseware images, and mark them as courseware frames; Step 2: Compare and analyze two adjacent courseware frames to obtain the overlapping content ratio, and mark the courseware pages based on the overlapping content ratio; In some implementation schemes, based on two adjacent courseware frames, according to the time sequence of the recorded video, the courseware frame closer in time is marked as a comparison courseware frame, and the courseware frame closer in time is marked as an analysis courseware frame; Extracting the content in the comparison courseware frame to obtain the content volume of the comparison courseware frame, and at the same time, extracting the content in the analysis courseware frame to obtain the content volume of the analysis courseware frame; It should be explained that the analysis of the content volume of the courseware frame includes the total amount of data in the courseware frame; The content volume of the comparison courseware frame and the content volume of the analysis courseware frame are summed up to obtain the total content volume; Then, the contents in the comparison courseware frame and the analysis courseware frame are overlapped and compared to analyze to obtain the amount of overlapped contents; Calculate the ratio of the overlapping content volume to the total content volume to obtain the overlapping content ratio; It should be explained that the overlapping content ratio is obtained by calculating the ratio of the overlapping content volume to the total content volume, that is, when the total content volume is the same, the larger the value of the overlapping content volume, the larger the value of the overlapping content ratio, which means that the content overlapping parts in the comparison courseware frame and the analysis courseware frame image are more, and when the overlapping content is relatively small, on the one hand, it is caused by the content change in the comparison courseware frame and the analysis courseware frame image, indicating that the images of the two frames are different lecture contents, on the other hand, the overlapping content volume is slightly different from the comparison courseware frame content volume, but is significantly different from the analysis courseware frame content volume, indicating that the lecture contents of the two frames are not much different, and there are more notes on the overlapping content in the analysis courseware frame, that is, the possibility that the content is the key content is higher, so this situation is also taken into consideration to generate the courseware page; Preset the overlap content ratio threshold, and compare and analyze the overlap content ratio with the overlap content ratio threshold; If the overlap content ratio is greater than the overlap content ratio threshold, it means that the content overlaps more in the comparison courseware frame and the analysis courseware frame image, that is, a content unchanged signal is generated, and the comparison courseware frame is marked as courseware frame KJ. i,m (KJ i,m Represented as the mth courseware frame on the i-th courseware page), the analyzed courseware frame is marked as courseware frame KJ i,m+1 (KJ i,m+1 Represented as the m+1th courseware frame on the ith courseware page); If the overlap content ratio is less than or equal to the overlap content ratio threshold, it means that the content overlap between the comparison courseware frame and the analysis courseware frame is small, that is, a content change signal is generated, and the comparison courseware frame is marked as courseware frame KJ. i,n (KJ i,n Represented as the nth courseware frame on the i-th courseware page), the analyzed courseware frame is marked as courseware frame KJ i+1,1 (KJ i+1,1 Represented as the first courseware frame of the i+1th courseware page); It should be explained that when the overlap content ratio is less than or equal to the overlap content ratio threshold, the comparison courseware frame is marked as courseware frame KJ. i,n (KJ i,n Represented as the nth courseware frame on the i-th courseware page), the analyzed courseware frame is marked as courseware frame KJ i+1,1 (KJ i+1,1 It is represented as the first courseware frame of the i+1th courseware page), which means that the total number of courseware frames of the i-th courseware page is n, but it does not mean that the total number of courseware frames of other courseware pages is also n; Step 3: extract the first courseware frame of all courseware pages, and sort them according to the time sequence of the first courseware frame of each courseware page to generate courseware; The technical solution of the embodiment of the present invention is mainly as follows: the courseware content is automatically and accurately extracted from the recorded video through the video content recognition technology, which significantly improves the efficiency of courseware production and avoids the omission of information caused by manual recording; first, by analyzing the recorded video, the video frames containing the courseware information are intelligently identified and marked as courseware frames, and then the content similarity between them is evaluated by calculating the overlapping content ratio. In this step, according to the time sequence, the earlier courseware frame is set as the comparison benchmark, and the later one is used as the analysis object, and the contents of the two are extracted and quantified, and then the proportion of the overlapping part is determined. Based on the preset overlapping content ratio threshold, it is judged whether the adjacent courseware frames belong to the same courseware page. If the overlapping content ratio is higher than the threshold, it is regarded as the same page content and marked continuously; otherwise, it is regarded as a page content change and a new page mark is opened. The accurate division of the courseware structure is ensured through a flexible marking strategy. Finally, the first frame of all courseware pages is collected, sorted according to the timeline, and automatically integrated into a complete courseware. This process not only simplifies the courseware production process, but also ensures the continuity and integrity of the courseware content. The core value of the present invention lies in its automation and intelligent characteristics, which significantly improves the efficiency and accuracy of courseware production. By reducing manual operations, it not only reduces the burden on teachers, but also improves students' learning experience, making the management of courseware resources more efficient and convenient.

[0019] Embodiment 2: Based on Example 1, please refer to Figure 1 As shown, an online learning courseware resource management method described in an embodiment of the present invention further includes analyzing the courseware pages in the generated handouts, thereby marking the note pages and handout pages respectively, obtaining handouts and notes, and marking the handouts with emphasis, and the specific method is the following steps: Step 4: Analyze the newly added content of the courseware page and divide the courseware page into note page and handout page; In some implementation schemes, based on any one courseware page, extracting the comparison courseware frame content volume, analysis courseware frame content volume and overlap content volume of the first courseware frame of the courseware page; By formula: , calculate and obtain the new content ratio XZ, where DB is the content volume of the comparison courseware frame, FX is the content volume of the analysis courseware frame, and CH is the overlap content volume; It should be explained that in the process of extracting the first courseware frame of the courseware page, comparing the courseware frame content volume, analyzing the courseware frame content volume and the overlapping content volume, the first courseware frame of the courseware page is marked as courseware frame KJ. i+1,1When calculating the overlap content ratio, the content volume of the comparison courseware frame, the content volume of the analysis courseware frame and the overlap content volume are used; Preset a new content ratio threshold, and compare and analyze the new content ratio with the new content ratio threshold; If the new content ratio is greater than the new content ratio threshold, it means that the first courseware frame of the courseware page has more new notes, and the courseware page is marked as a note page; If the new content ratio is less than or equal to the new content ratio threshold, it means that the first courseware frame of the courseware page has fewer new notes, that is, the courseware page is marked as a handout page; Step 5: extract the first courseware frame of all courseware pages, and sort them according to the time sequence of the first courseware frame of each courseware page to generate notes; Step 6: extract the first courseware frame of all lecture pages, and sort them according to the time sequence of the first courseware frame of each lecture page to generate lecture notes; Step 7: Based on the content changes of the handout page and the number of courseware frames in the handout page, analyze the importance of the handout page content and mark the important handouts; In some implementation schemes, based on any lecture page, the first courseware frame of the lecture page is extracted, marked as the initial lecture frame, and the content amount in the initial lecture frame is obtained to obtain the initial content amount; Based on the lecture page, the lecture page is combined with all subsequent coherent note pages to obtain a lecture group, the last courseware frame of the lecture group is extracted, and it is marked as a lecture end frame, and the content amount in the lecture end frame is obtained to obtain the end content amount; It should be explained that the process of combining the lecture page with all subsequent consecutive note pages is based on the lecture page. If the next lecture page adjacent to the lecture page is a note page in the courseware, the note page is combined with the lecture page. If the next one is still a note page, the combination continues until the next lecture page. Then the difference between the final content volume and the initial content volume is calculated to obtain the changed content volume; At the same time, the number of courseware frames in the lecture group is extracted to obtain the number of lecture courseware frames; By formula: , calculate and obtain the key lecture characterization value ZD, where a1 and a2 are preset scale factors, both greater than 0, BH is the amount of changed content, and ZS is the number of lecture courseware frames; Preset the key lecture representation threshold, and compare and analyze the key lecture representation value with the key lecture representation threshold; If the key lecture representation value is less than or equal to the key lecture representation threshold, it means that the newly added notes on the lecture page are small and the lecture time of the lecture page in the video is short, that is, the lecture page will not be marked; If the key lecture representation value is greater than the key lecture representation threshold, it means that the lecture page has more newly added notes or the lecture page is explained for a longer time in the video, that is, the lecture page is marked as a key lecture page; Step 8: Based on the marking of the key handout pages, analyze the importance of the handout pages again and mark the key handouts again; In some implementation schemes, consecutive key lecture pages are extracted from all lecture pages, marked as one or more key lecture groups, and lecture group key representation values ​​of each key lecture group are calculated; Preset the lecture group key characterization threshold, and compare and analyze the lecture group key characterization value with the lecture group key characterization threshold; If the emphasis characterization value of the lecture group is less than or equal to the emphasis characterization threshold of the lecture group, it means that the overall emphasis level of all the emphasis pages in the emphasis lecture group is not high, that is, all the emphasis pages in the emphasis lecture group will not be marked as emphasis lectures twice; If the emphasis characterization value of the lecture group is greater than the emphasis characterization threshold of the lecture group, it means that the overall emphasis degree of all the emphasis pages in the emphasis lecture group is high, that is, all the emphasis pages in the emphasis lecture group are marked as two-star emphasis lecture pages; Specifically, the process of obtaining the key characterization values ​​of the lecture group is as follows: By formula: , calculate and obtain the key characterization value JZ of the lecture group, where Y f is the key lecture representation value of the fth key lecture page, the value of f is 1, 2, 3, ..., F, F is the total number of key lecture pages in the key lecture group, is the number of frames of the lecture notes on the fth key lecture page, The total number of frames of all key lecture pages in the key lecture group; The technical solution of the embodiment of the present invention is mainly as follows: on the basis of the existing ones, the embodiment of the present invention deepens the functions of the online learning courseware resource management method and realizes the in-depth analysis and refined marking of the handout content; firstly, by comparing the new content of the courseware page, the new content ratio is calculated, and the courseware page is accurately divided into the note page and the handout page. This process involves comparing the courseware frames, analyzing the quantitative evaluation of the courseware frames and their overlapping contents to ensure the accuracy of the classification, and then extracting and sorting the first frames of all courseware pages, and generating notes according to the timeline; similarly, the first frames of the handout pages are integrated and arranged in order to construct a complete handout. This step simplifies the process of organizing notes and handouts and improves learning efficiency. Furthermore, the present invention conducts a detailed analysis of the importance of the handout pages, and by considering the content change amount and The number of courseware frames contained in the teaching value of the lecture page is effectively evaluated by using the key lecture representation value as an indicator. For lecture pages with representation values ​​higher than a preset threshold, the system marks them as key lecture pages so that learners can pay priority attention to them. In addition, the present invention also has a secondary key lecture marking function. By identifying and integrating coherent key lecture pages to form a key lecture group, the key representation value of the lecture group is calculated, and the overall importance of the lecture pages in the group is evaluated. For lecture groups with outstanding representation values, all the key lecture pages within them are secondary marked with two stars to further highlight their importance. Through intelligent analysis and management, the present invention not only realizes the automatic generation and efficient classification of courseware resources, but also accurately identifies and marks the core content in the lectures, providing learners with more accurate and efficient learning guidance.

[0020] Embodiment 3: Based on Example 1 and Example 2, please refer to Figure 2 As shown, an online learning courseware resource management system according to an embodiment of the present invention includes: Courseware frame extraction module: analyzes the recorded video content, identifies frames containing courseware images, and marks them as courseware frames; Courseware frame division module: compare and analyze two adjacent courseware frames, obtain the overlapping content ratio, and mark the courseware pages based on the overlapping content ratio; Courseware generation module: extract the first courseware frame of all courseware pages, and sort them according to the time sequence of the first courseware frame of each courseware page to generate courseware; Courseware page analysis module: analyzes the newly added content of the courseware page and divides the courseware page into note pages and handout pages; Note generation module: extract the first courseware frame of all courseware pages, sort them according to the time sequence of the first courseware frame of each courseware page, and generate notes; Handout generation module: extract the first courseware frame of all handout pages, and sort them according to the time sequence of the first courseware frame of each handout page to generate handouts; Key lecture marking module: Based on the content changes of the lecture page and the number of courseware frames in the lecture page, the importance of the lecture page content is analyzed and important lecture notes are marked; Secondary emphasis marking module: Based on the marking of key lecture pages, the importance of the lecture pages is analyzed again and secondary emphasis lecture marking is performed.

[0021] The above thresholds are set for the convenience of comparison. The thresholds depend on the amount of sample data and the number of bases set by technicians in this field for each set of sample data. The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The factors in the formula are set by technicians in this field according to actual conditions; for example: Formula ; A technician in this field collects multiple groups of changing content volume and lecture courseware frame numbers and sets corresponding key lecture characterization values ​​for each group of changing content volume and lecture courseware frame numbers; Substitute the set key lecture characterization values ​​and the collected changing content volume and lecture courseware frame numbers into the formula, any two formulas constitute a binary linear equation system, screen the calculated factors and take the average, and obtain the values ​​of a1 and a2 as 2.65 and 2.23 respectively; The size of the factor is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the factor depends on the amount of changing content and the number of lecture frames, as well as the technical personnel in this field preliminarily setting the corresponding key lecture representation value for each group of changing content and lecture frames; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the key lecture representation value is proportional to the value of the changing content.

[0022] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for managing online learning courseware resources, characterized in that: include: Step 1: Analyze the recorded video content, identify the frames containing the courseware images, and mark them as courseware frames; Step 2: Compare and analyze two adjacent courseware frames to obtain the overlapping content ratio, and mark the courseware pages based on the overlapping content ratio; Step 3: extract the first courseware frame of all courseware pages, and sort them according to the time sequence of the first courseware frame of each courseware page to generate courseware; Step 4: Analyze the newly added content of the courseware page and divide the courseware page into note page and handout page; Step 5: extract the first courseware frame of all courseware pages, and sort them according to the time sequence of the first courseware frame of each courseware page to generate notes; Step 6: extract the first courseware frame of all lecture pages, and sort them according to the time sequence of the first courseware frame of each lecture page to generate lecture notes; Step 7: Based on the content changes of the handout page and the number of courseware frames in the handout page, analyze the importance of the handout page content and mark the important handouts; Step 8: Based on the marking of key lecture pages, analyze the importance of the lecture pages again and mark the key lecture pages a second time.

2. The online learning courseware resource management method according to claim 1, characterized in that: The process of obtaining the overlap content ratio is as follows: Based on two adjacent courseware frames, according to the time sequence of the recorded video, the courseware frame closer in time is marked as the comparison courseware frame, and the courseware frame closer in time is marked as the analysis courseware frame; Extracting the content in the comparison courseware frame to obtain the content volume of the comparison courseware frame, and at the same time, extracting the content in the analysis courseware frame to obtain the content volume of the analysis courseware frame; The content volume of the comparison courseware frame and the content volume of the analysis courseware frame are summed up to obtain the total content volume; Then, the contents in the comparison courseware frame and the analysis courseware frame are overlapped and compared to analyze to obtain the amount of overlapped contents; The overlapping content volume is ratioed to the total content volume to obtain the overlapping content ratio.

3. The online learning courseware resource management method according to claim 2, characterized in that: The process of dividing the courseware frames based on the overlapping content is as follows: Preset the overlap content ratio threshold, and compare and analyze the overlap content ratio with the overlap content ratio threshold; If the overlap content ratio is greater than the overlap content ratio threshold, a content unchanged signal is generated and the comparison courseware frame is marked as courseware frame KJ i,m , among which, KJ i,m It is represented as the mth courseware frame on the i-th courseware page, and the analyzed courseware frame is marked as courseware frame KJ i,m+1 , among which, KJ i,m+1 It is represented as the m+1th courseware frame on the i-th courseware page; If the overlap content ratio is less than or equal to the overlap content ratio threshold, a content change signal is generated and the comparison courseware frame is marked as courseware frame KJ i,n , among which, KJ i,n It is represented as the nth courseware frame of the i-th courseware page, and the analyzed courseware frame is marked as courseware frame KJ i+1,1 , among which, KJ i+1,1 Represented as the first courseware frame on the i+1th courseware page.

4. The online learning courseware resource management method according to claim 2, characterized in that: The process of analyzing the newly added content of the courseware page and dividing the courseware page into note pages and handout pages is as follows: Based on any courseware page, extract the content volume of the first courseware frame of the courseware page, analyze the content volume of the courseware frame and the overlapped content volume, so as to calculate the new content ratio; Preset a new content ratio threshold, and compare and analyze the new content ratio with the new content ratio threshold; If the new content ratio is greater than the new content ratio threshold, the courseware page is marked as a note page; If the new content ratio is less than or equal to the new content ratio threshold, the courseware page is marked as a handout page.

5. The online learning courseware resource management method according to claim 4, characterized in that: The process of obtaining the new content ratio is as follows: By formula: , calculate and obtain the new content ratio XZ, where DB is the content volume of the comparison courseware frame, FX is the content volume of the analysis courseware frame, and CH is the overlapping content volume.

6. The online learning courseware resource management method according to claim 4, characterized in that: Based on the content changes of the handout page and the number of courseware frames in the handout page, the importance of the handout page content is analyzed and the process of marking important handouts is as follows: Based on any lecture page, extract the first courseware frame of the lecture page, mark it as the initial frame of the lecture, and obtain the content volume in the initial frame of the lecture to obtain the initial content volume; Based on the lecture page, combine the lecture page with all subsequent coherent note pages to obtain a lecture group, extract the last courseware frame of the lecture group, mark it as the lecture end frame, and obtain the content amount in the lecture end frame to obtain the end content amount; Then the difference between the final content volume and the initial content volume is calculated to obtain the changed content volume; Then extract the number of courseware frames in the lecture group to obtain the number of lecture courseware frames, and then calculate the key lecture representation value based on the amount of changed content and the number of lecture courseware frames; Preset the key lecture representation threshold, and compare and analyze the key lecture representation value with the key lecture representation threshold; If the key lecture representation value is less than or equal to the key lecture representation threshold, the lecture page will not be marked; If the key lecture representation value is greater than the key lecture representation threshold, the lecture page is marked as a key lecture page.

7. The online learning courseware resource management method according to claim 6, characterized in that: The process of obtaining the key points characterization value is as follows: By formula: , calculate and obtain the key lecture characterization value ZD, where a1 and a2 are preset scale factors, and both are greater than 0, BH is the amount of changed content, and ZS is the number of frames of the lecture courseware.

8. The online learning courseware resource management method according to claim 6, characterized in that: Based on the marking of the key handout pages, the importance of the handout pages is analyzed again, and the process of marking the key handouts again is as follows: Extract the consecutive key lecture pages from all the lecture pages, mark them into one or more key lecture groups, and calculate the lecture group key representation value of each key lecture group; Preset the lecture group key characterization threshold, and compare and analyze the lecture group key characterization value with the lecture group key characterization threshold; If the lecture group emphasis characterization value is less than or equal to the lecture group emphasis characterization threshold, then all the emphasis lecture pages in the emphasis lecture group will not be marked as emphasis lectures twice; If the lecture group emphasis characterization value is greater than the lecture group emphasis characterization threshold, all the emphasis lecture pages in the emphasis lecture group will be marked as emphasis lecture pages for the second time, and all the emphasis lecture pages in the emphasis lecture group will be marked as two-star emphasis lecture pages.

9. The online learning courseware resource management method according to claim 8, characterized in that: The process of obtaining the key characterization values ​​of the lecture group is as follows: By formula: , calculate and obtain the key characterization value JZ of the lecture group, where Y f is the key lecture representation value of the fth key lecture page, the value of f is 1, 2, 3, ..., F, F is the total number of key lecture pages in the key lecture group, is the number of frames of the lecture notes on the fth key lecture page, It is the total number of lecture courseware frames of all key lecture pages in the key lecture group.

10. An online learning courseware resource management system, characterized in that: The system is used to execute the method described in any one of claims 1 to 9, and the system comprises: Courseware frame extraction module: analyzes the recorded video content, identifies frames containing courseware images, and marks them as courseware frames; Courseware frame division module: compare and analyze two adjacent courseware frames, obtain the overlapping content ratio, and mark the courseware pages based on the overlapping content ratio; Courseware generation module: extract the first courseware frame of all courseware pages, and sort them according to the time sequence of the first courseware frame of each courseware page to generate courseware; Courseware page analysis module: analyzes the newly added content of the courseware page and divides the courseware page into note pages and handout pages; Note generation module: extract the first courseware frame of all courseware pages, sort them according to the time sequence of the first courseware frame of each courseware page, and generate notes; Handout generation module: extract the first courseware frame of all handout pages, and sort them according to the time sequence of the first courseware frame of each handout page to generate handouts; Key lecture marking module: Based on the content changes of the lecture page and the number of courseware frames in the lecture page, the importance of the lecture page content is analyzed and important lecture notes are marked; Secondary emphasis marking module: Based on the marking of key lecture pages, the importance of the lecture pages is analyzed again and secondary emphasis lecture marking is performed.

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