An online learning courseware resource management system and management method

Abstract

The present invention relates to the technical field of learning management, and specifically discloses an online learning courseware resource management system and a management method, including: identifying courseware frames; marking courseware pages; generating courseware; analyzing the newly added content of courseware pages, and dividing the courseware pages into note pages and lecture note pages; generating notes; generating lecture notes; analyzing the importance of the content of lecture note pages based on the content changes of lecture note pages and the number of courseware frames in the lecture note pages, and performing important lecture note markings; based on the markings of key lecture note pages, analyzing the importance of lecture note pages again and performing secondary key lecture note markings; 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 lecture notes, providing more accurate and efficient learning guidance for learners.

Description

Technical Field

[0001] The present invention relates to the technical field of learning management, and particularly relates 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, with the increasing abundance of courseware resources on online learning platforms, how to effectively manage these resources, ensure the accuracy, timeliness, and security of the resources, and achieve intelligent recommendation of the resources has become an urgent problem to be solved. 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 prone to omitting important information, affecting the learning efficiency and satisfaction of users. Therefore, the present invention proposes an online learning courseware resource management system and a management method, aiming to automatically extract and generate lecture notes through video content recognition technology, and at the same time mark the 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 a 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:

[0005] In a first aspect, the present invention provides an online learning courseware resource management method, including:

[0006] Step 1: Analyze the content of the recorded video, identify the frames containing the courseware images, and mark them as courseware frames;

[0007] Step 2: Compare and analyze two adjacent courseware frames, obtain the overlapping content ratio, and mark the courseware pages based on the overlapping content ratio;

[0008] Step 3: Extract the first courseware frame of all courseware pages, and sort them according to the time sequence of the first courseware frames of each courseware page to generate a courseware;

[0009] Step 4: Analyze the newly added content of the courseware pages, and divide the courseware pages into note pages and lecture note pages;

[0010] Step 5: Extract the first courseware frame of all courseware pages, and sort them according to the time sequence of the first courseware frames of each courseware page to generate notes;

[0011] Step 6: Extract the first courseware frame of all lecture note pages, and sort them according to the time sequence of the first courseware frames of each lecture note page to generate lecture notes;

[0012] Step 7: Based on the content changes of the lecture page and the number of courseware frames in the lecture page, analyze the importance of the lecture page content and mark important lecture pages;

[0013] Step 8: Based on the marking of the key lecture pages, analyze the importance of the lecture pages again and perform secondary key lecture page marking.

[0014] As a further solution of the present invention: The process of obtaining the overlapping content ratio is as follows:

[0015] Based on two adjacent courseware frames, according to the time sequence of the recorded video, mark the courseware frame with an earlier time as the comparison courseware frame, and mark the courseware frame with a later time as the analysis courseware frame;

[0016] Extract the content in the comparison courseware frame to obtain the content volume of the comparison courseware frame. At the same time, extract the content in the analysis courseware frame to obtain the content volume of the analysis courseware frame;

[0017] Perform a summation calculation on the content volume of the comparison courseware frame and the content volume of the analysis courseware frame to obtain the total content volume;

[0018] Then, perform an overlapping comparison analysis on the content in the comparison courseware frame and the analysis courseware frame images to obtain the overlapping content volume;

[0019] Perform a ratio calculation on the overlapping content volume and the total content volume to obtain the overlapping content ratio.

[0020] As a further solution of the present invention: The process of dividing the courseware frames based on the overlapping content ratio is as follows:

[0021] Preset an overlapping content ratio threshold, and perform a comparative analysis on the overlapping content ratio and the overlapping content ratio threshold;

[0022] If the overlapping content ratio is greater than the overlapping content ratio threshold, generate a content unchanged signal, and mark the comparison courseware frame as courseware frame KJ i,m , where KJ i,m represents the m-th courseware frame on the i-th courseware page, and mark the analysis courseware frame as courseware frame KJ i,m+1 , where KJ i,m+1 represents the (m + 1)-th courseware frame on the i-th courseware page;

[0023] If the overlapping content ratio is less than or equal to the overlapping content ratio threshold, generate a content change signal, and mark the comparison courseware frame as courseware frame KJ i,n , where KJ i,n represents the n-th courseware frame on the i-th courseware page, and mark the analysis courseware frame as courseware frame KJ i+1,1 , where KJ i+1,1 represents the first courseware frame on the (i + 1)-th courseware page.

[0024] 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 lecture page is as follows:

[0025] Based on any courseware page, extract the content volume of the comparison courseware frame of the first courseware frame of the courseware page, analyze the content volume of the courseware frame and the overlapping content volume, so as to calculate and obtain the newly added content ratio;

[0026] Preset a newly added content ratio threshold, and conduct a comparative analysis of the newly added content ratio and the newly added content ratio threshold;

[0027] If the newly added content ratio is greater than the newly added content ratio threshold, mark the courseware page as a note page;

[0028] If the newly added content ratio is less than or equal to the newly added content ratio threshold, mark the courseware page as a lecture page.

[0029] As a further solution of the present invention, the process of obtaining the newly added content ratio is as follows:

[0030] Through the formula: , calculate and obtain the newly added content ratio XZ, where DB is the content volume of the comparison courseware frame, FX is the content volume of the analyzed courseware frame, and CH is the overlapping content volume.

[0031] As a further solution of the present invention, the process of analyzing the importance of the content of the lecture page based on the content change of the lecture page and the number of courseware frames in the lecture page and performing important lecture marking is as follows:

[0032] Based on any lecture page, extract the first courseware frame of the lecture page, mark it as the initial lecture frame, and obtain the content volume in the initial lecture frame to obtain the initial content volume;

[0033] Based on the lecture page, combine the lecture page with all subsequent consecutive note pages to obtain a lecture group, extract the last courseware frame of the lecture group, mark it as the end lecture frame, and obtain the content volume in the end lecture frame to obtain the end content volume;

[0034] Then perform a difference calculation on the end content volume and the initial content volume to obtain the changed content volume;

[0035] Then extract the number of courseware frames in the lecture group to obtain the number of lecture courseware frames, and then calculate and obtain the key lecture characterization value based on the changed content volume and the number of lecture courseware frames;

[0036] Preset a key lecture characterization threshold, and conduct a comparative analysis of the key lecture characterization value and the key lecture characterization threshold;

[0037] If the key lecture characterization value is less than or equal to the key lecture characterization threshold, do not mark the lecture page;

[0038] If the characterization value of the key lecture notes is greater than the key lecture notes characterization threshold, then mark the lecture note page as a key lecture note page.

[0039] As a further solution of the present invention: The process of obtaining the characterization value of the key lecture notes is as follows:

[0040] Through the formula: , calculate to obtain the key lecture notes characterization value ZD, where a 1 , a 2 are preset proportionality factors, both greater than 0, BH is the amount of changed content, and ZS is the number of frames of the lecture courseware.

[0041] As a further solution of the present invention: Based on the marking of the key lecture note pages, analyze the importance of the lecture note pages again, and the process of secondary key lecture note marking is as follows:

[0042] Extract the consecutive key lecture note pages among all lecture note pages, mark them as one or more key lecture note groups, and calculate the lecture note group key characterization value of each key lecture note group;

[0043] Preset the lecture note group key characterization threshold, and compare and analyze the lecture note group key characterization value with the lecture note group key characterization threshold;

[0044] If the lecture note group key characterization value is less than or equal to the lecture note group key characterization threshold, then do not perform secondary key lecture note marking on all key lecture note pages in the key lecture note group;

[0045] If the lecture note group key characterization value is greater than the lecture note group key characterization threshold, then perform secondary key lecture note marking on all key lecture note pages in the key lecture note group, and mark all key lecture note pages in the key lecture note group as two-star key lecture note pages.

[0046] As a further solution of the present invention: The process of obtaining the lecture note group key characterization value is as follows:

[0047] Through the formula: , calculate to obtain the lecture note group key characterization value JZ, where Y f is the key lecture note characterization value of the f-th key lecture note page, the value of f is 1, 2, 3,..., F, and F is the total number of key lecture note pages in the key lecture note group, is the number of frames of the lecture courseware of the f-th key lecture note page, is the total number of frames of the lecture courseware of all key lecture note pages in the key lecture note group.

[0048] In the second aspect, the present invention provides an online learning courseware resource management system, which includes:

[0049] Courseware frame extraction module: Analyze the content of the recorded video, identify the frames containing the courseware pictures, and mark them as courseware frames;

[0050] Courseware frame division module: Compare and analyze two adjacent courseware frames to obtain the overlapping content ratio, and mark the courseware pages based on the overlapping content ratio;

[0051] 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 a courseware;

[0052] Courseware page analysis module: Analyze the newly added content of the courseware page and divide the courseware page into note pages and lecture note pages;

[0053] Note 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 notes;

[0054] Lecture note generation module: Extract the first courseware frame of all lecture note pages, and sort them according to the time sequence of the first courseware frame of each lecture note page to generate lecture notes;

[0055] Key lecture note marking module: Analyze the importance of the content of the lecture note page based on the content change of the lecture note page and the number of courseware frames in the lecture note page, and mark the key lecture notes;

[0056] Secondary key marking module: Analyze the importance of the lecture note page again based on the marking of the key lecture note pages, and mark the secondary key lecture notes.

[0057] Advantages of the present invention:

[0058] (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 enhances the learning experience of students, making the management of courseware resources more efficient and convenient;

[0059] (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 in the lecture notes, providing more accurate and efficient learning guidance for learners. Description of the Drawings

[0060] The present invention will be further described below with reference to the accompanying drawings.

[0061] Figure 1 is the flow block diagram of the present invention;

[0062] Figure 2 is the system block diagram of the present invention. Detailed Embodiments

[0063] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0064] Embodiment 1:

[0065] Please refer to Figure 1 As shown, a method for managing online learning courseware resources according to an embodiment of the present invention includes: automatically extracting and generating courseware based on video content recognition technology, thereby effectively solving the problems of low efficiency and easy omission in manually recording courseware content by students in the traditional teaching mode. Specifically:

[0066] Step 1: Analyze the content of the recorded video, identify the frames containing the courseware images, and mark them as courseware frames;

[0067] Step 2: Compare and analyze two adjacent courseware frames, obtain the overlapping content ratio, and mark the courseware pages based on the overlapping content ratio;

[0068] In some embodiments, based on two adjacent courseware frames and according to the time sequence of the recorded video, the courseware frame with an earlier time is marked as the comparison courseware frame, and the courseware frame with a later time is marked as the analysis courseware frame;

[0069] Extract the content in the comparison courseware frame to obtain the content volume of the comparison courseware frame. At the same time, extract the content in the analysis courseware frame to obtain the content volume of the analysis courseware frame;

[0070] It should be explained that the content volume of the analysis courseware frame includes the total amount of data in the courseware frame;

[0071] Perform a summation calculation on the content volume of the comparison courseware frame and the content volume of the analysis courseware frame to obtain the total content volume;

[0072] Then, perform an overlapping comparison and analysis on the content in the comparison courseware frame and the analysis courseware frame images to obtain the overlapping content volume;

[0073] Perform a ratio calculation on the overlapping content volume and the total content volume to obtain the overlapping content ratio;

[0074] It should be noted that the overlapping content ratio is obtained by calculating the ratio of the amount of overlapping content to the total amount of content. That is, when the total amount of content is the same, the larger the value of the amount of overlapping content, the larger the value of the overlapping content ratio, which means that there is more overlapping content between the comparison courseware frame and the analysis courseware frame images. And when the overlapping content ratio is small, on the one hand, it is caused by the content change between the comparison courseware frame and the analysis courseware frame images, indicating that the images of these two frames are of different lecture contents. On the other hand, the difference between the amount of overlapping content and the amount of content in the comparison courseware frame is small, but the difference from the amount of content in the analysis courseware frame is large, indicating that the lecture contents of these two frames are not very different, and there are more notes on the overlapping content in the analysis courseware frame, that is, the possibility that this content is key content is relatively high. Therefore, this situation is also considered to generate a courseware page;

[0075] A preset overlapping content ratio threshold is set, and the overlapping content ratio is compared and analyzed with the overlapping content ratio threshold;

[0076] If the overlapping content ratio is greater than the overlapping content ratio threshold, it means that there is more overlapping content between the comparison courseware frame and the analysis courseware frame images. That is, a content unchanged signal is generated, and the comparison courseware frame is marked as courseware frame KJ i,m (KJ i,m It is represented as the m-th courseware frame on the i-th courseware page), and the analysis courseware frame is marked as courseware frame KJ i,m+1 (KJ i,m+1 It is represented as the (m + 1)-th courseware frame on the i-th courseware page);

[0077] If the overlapping content ratio is less than or equal to the overlapping content ratio threshold, it means that there is less overlapping content between the comparison courseware frame and the analysis courseware frame images. That is, a content change signal is generated, and the comparison courseware frame is marked as courseware frame KJ i,n (KJ i,n It is represented as the n-th courseware frame on the i-th courseware page), and the analysis courseware frame is marked as courseware frame KJ i+1,1 (KJ i+1,1 It is represented as the 1st courseware frame on the (i + 1)-th courseware page);

[0078] It should be noted that when the overlapping content ratio is less than or equal to the overlapping content ratio threshold, the comparison courseware frame is marked as courseware frame KJ i,n (KJ i,n It is represented as the n-th courseware frame on the i-th courseware page), and the analysis courseware frame is marked as courseware frame KJ i+1,1 (KJ i+1,1 It is represented as the 1st courseware frame on the (i + 1)-th courseware page), that is, it means that the total number of courseware frames on the i-th courseware page is n, and it does not represent that the total number of courseware frames on other courseware pages is also n;

[0079] Step 3: Extract the first courseware frame of all courseware pages, and sort them according to the time sequence of the first courseware frames of each courseware page to generate a courseware.

[0080] The technical solution of the embodiment of the present invention is mainly as follows: Through video content recognition technology, the courseware content is accurately extracted from the recorded video automatically, significantly improving the courseware production efficiency, and at the same time avoiding information omission caused by manual recording; First, by analyzing the recorded video, the video frames containing 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 taken as the analysis object. The content of both is 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 adjacent courseware frames belong to the same courseware page. If the overlapping content ratio is higher than the threshold, it is regarded as the content of the same page and marked continuously; otherwise, it is regarded as a change in page content, and a new page is marked. Through a flexible marking strategy, the accurate division of the courseware structure is ensured. Finally, the first frames of all courseware pages are collected and sorted according to the time line, and automatically integrated into a complete courseware. This process not only simplifies the courseware production process, but also ensures the coherence and integrity of the courseware content; The core value of the present invention lies in its automation and intelligence characteristics, which significantly improve the efficiency and accuracy of courseware production. By reducing manual operations, it not only reduces the burden on teachers, but also improves the learning experience of students, making the management of courseware resources more efficient and convenient.

[0081] Embodiment 2:

[0082] On the basis of Embodiment 1, please refer to Figure 1 As shown, for an online learning courseware resource management method described in an embodiment of the present invention, it further includes analyzing the courseware pages in the generated lecture notes, so as to mark the note pages and lecture note pages respectively, obtain the lecture notes and notes, and mark the key points of the lecture notes. The specific method is as follows:

[0083] Step 4: Analyze the newly added content of the courseware page, and divide the courseware page into note pages and lecture note pages.

[0084] In some implementation schemes, based on any courseware page, extract the content volume of the comparison courseware frame, the analysis courseware frame content volume, and the overlapping content volume of the first courseware frame of the courseware page.

[0085] Through the formula: , calculate to obtain the newly added content ratio XZ, where DB is the content volume of the comparison courseware frame, FX is the analysis courseware frame content volume, and CH is the overlapping content volume.

[0086] It should be noted that during the process of extracting the content volume of the comparison courseware frame, analyzing the content volume of the courseware frame, and the overlapping content volume of the first courseware frame of the courseware page, the content volume of the comparison courseware frame, the content volume of the analyzed courseware frame, and the overlapping content volume are the content volumes of the first courseware frame of the courseware page marked as courseware frame KJ i+1,1 when calculating the overlapping content ratio, the content volume of the comparison courseware frame, the content volume of the analyzed courseware frame, and the overlapping content volume are used;

[0087] A preset new content ratio threshold is set, and the new content ratio is compared and analyzed with the new content ratio threshold;

[0088] If the new content ratio is greater than the new content ratio threshold, it indicates that there are more new notes in the first courseware frame of the courseware page, and the courseware page is marked as a note page;

[0089] If the new content ratio is less than or equal to the new content ratio threshold, it indicates that there are fewer new notes in the first courseware frame of the courseware page, and the courseware page is marked as a lecture page;

[0090] Step Five: 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;

[0091] Step Six: 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 lectures;

[0092] Step Seven: Analyze the importance of the content of the lecture pages based on the content changes of the lecture pages and the number of courseware frames in the lecture pages, and mark important lectures;

[0093] In some embodiments, based on any lecture page, extract the first courseware frame of the lecture page, mark it as the lecture initial frame, and obtain the content volume in the lecture initial frame to obtain the initial content volume;

[0094] Based on the lecture page, combine the lecture page with all subsequent consecutive 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 volume in the lecture end frame to obtain the end content volume;

[0095] It should be noted that the process of combining the lecture page with all subsequent consecutive note pages is based on the lecture page. In the courseware, if the next adjacent page to the lecture page is a note page, the note page is combined with the lecture page. If the next page is still a note page, continue to combine until the next lecture page;

[0096] Then calculate the difference between the end content volume and the initial content volume to obtain the changed content volume;

[0097] Meanwhile, extract the number of courseware frames in the lecture notes group to obtain the number of lecture courseware frames;

[0098] Through the formula: , calculate to obtain the key lecture representation value ZD, where a 1 and a 2 are preset proportionality factors, both greater than 0, BH is the amount of changed content, and ZS is the number of lecture courseware frames;

[0099] Preset the key lecture representation threshold, and compare and analyze the key lecture representation value with the key lecture representation threshold;

[0100] If the key lecture representation value is less than or equal to the key lecture representation threshold, it means that the content of the newly added notes on this lecture page is less and the explanation time of this lecture page in the video is shorter, that is, this lecture page is not marked;

[0101] If the key lecture representation value is greater than the key lecture representation threshold, it means that the content of the newly added notes on this lecture page is more or the explanation time of this lecture page in the video is longer, that is, this lecture page is marked as a key lecture page;

[0102] Step Eight: Based on the marking of the key lecture pages, analyze the importance of the lecture pages again and perform secondary key lecture marking;

[0103] In some embodiments, extract the consecutive key lecture pages among all lecture pages, mark them as one or more key lecture groups, and calculate the key representation value of each key lecture group;

[0104] Preset the key representation threshold of the lecture group, and compare and analyze the key representation value of the lecture group with the key representation threshold of the lecture group;

[0105] If the key representation value of the lecture group is less than or equal to the key representation threshold of the lecture group, it means that the overall key degree of all key lecture pages in the key lecture group is not high, that is, no secondary key lecture marking is performed on all key lecture pages in this key lecture group;

[0106] If the key representation value of the lecture group is greater than the key representation threshold of the lecture group, it means that the overall key degree of all key lecture pages in the key lecture group is high, that is, secondary key lecture marking is performed on all key lecture pages in this key lecture group, and all key lecture pages in this key lecture group are marked as two-star key lecture pages;

[0107] Specifically, the process of obtaining the key representation value of the lecture group is as follows:

[0108] Through the formula: , calculate to obtain the key representation value JZ of the lecture group, where Y fis the key lecture representation value of the f-th key lecture page, where f takes values of 1, 2, 3, ……, F, and F is the total number of key lecture pages in the key lecture group. is the number of lecture courseware frames of the f-th key lecture page. is the total number of lecture courseware frames of all key lecture pages in the key lecture group.

[0109] The technical solution of the embodiment of the present invention is mainly as follows: On the existing basis, the embodiment of the present invention deepens the function of the online learning courseware resource management method and realizes the in-depth analysis and refined marking of lecture content. First, by comparing the new content of the courseware pages, the new content ratio is calculated, and based on this, the courseware pages are accurately classified into note pages and lecture pages. This process involves the quantitative evaluation of comparing courseware frames, analyzing courseware frames and their overlapping content to ensure the accuracy of classification. Subsequently, the first frames of all courseware pages are extracted and sorted, and notes are generated according to the time line. Similarly, the first frames of lecture pages are integrated, arranged in order, and a complete lecture is constructed. This step simplifies the process of organizing notes and lectures and improves learning efficiency. Further, the present invention carefully analyzes the importance of lecture pages. By considering the content change amount and the number of courseware frames contained in the lecture pages, and using the key lecture representation value as an index, the teaching value of lecture pages is effectively evaluated. For lecture pages with a representation value higher than the preset threshold, the system marks them as key lecture pages for learners to focus on preferentially. 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, calculating the key representation value of the lecture group, and evaluating the overall importance of the lecture pages within the group, for lecture groups with prominent representation values, all key lecture pages within them are marked twice with a two-star logo 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 more accurate and efficient learning guidance for learners.

[0110] Embodiment 3:

[0111] Based on Embodiment 1 and Embodiment 2, please refer to Figure 2 As shown, an online learning courseware resource management system described in the embodiment of the present invention includes:

[0112] Courseware frame extraction module: Analyze the content of the recorded video, identify the frames containing courseware images, and mark them as courseware frames.

[0113] 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.

[0114] Courseware generation module: Extract the first courseware frame of all courseware pages, and sort them according to the time sequence of the first courseware frames of each courseware page to generate a courseware;

[0115] Courseware page analysis module: Analyze the newly added content of the courseware page, and divide the courseware page into a note page and a lecture note page;

[0116] Note generation module: Extract the first courseware frame of all courseware pages, and sort them according to the time sequence of the first courseware frames of each courseware page to generate notes;

[0117] Lecture note generation module: Extract the first courseware frame of all lecture note pages, and sort them according to the time sequence of the first courseware frames of each lecture note page to generate lecture notes;

[0118] Key lecture note marking module: Analyze the importance of the content of the lecture note page based on the content change of the lecture note page and the number of courseware frames in the lecture note page, and mark the key lecture notes;

[0119] Secondary key marking module: Analyze the importance of the lecture note page again based on the marking of the key lecture note page, and mark the secondary key lecture notes.

[0120] The setting of the magnitude of the above threshold is for the convenience of comparison. Regarding the magnitude of the threshold, it depends on the amount of sample data and the base quantity set by those skilled in the art for each set of sample data;

[0121] The above formulas are all obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value. The factors in the formula are set by those skilled in the art according to the actual situation; for example: formula ; Those skilled in the art collect multiple sets of variable content amounts and lecture note courseware frame numbers and set corresponding key lecture note characterization values for each set of variable content amounts and lecture note courseware frame numbers; substitute the set key lecture note characterization values and the collected variable content amounts and lecture note courseware frame numbers into the formula, and any two formulas form a system of binary linear equations. Screen and take the average value of the calculated factors to obtain a 1 、a 2 The values of are 2.65 and 2.23 respectively;

[0122] The magnitude of the factor is a specific value obtained by quantifying each parameter for the convenience of subsequent comparison. Regarding the magnitude of the factor, it depends on the amount of variable content amount and lecture note courseware frame number and the key lecture note characterization value initially set by those skilled in the art for each set of variable content amount and lecture note courseware frame number; as long as it does not affect the proportional relationship between the parameter and the quantified value, for example, the key lecture note characterization value is directly proportional to the value of the variable content amount.

[0123] The above has described in detail an embodiment of the present invention, but the above content is only a preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the application of the present invention shall still fall within the scope covered by the patent 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. The specific process 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; 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 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.

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 1, 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.

7. The online learning courseware resource management method according to claim 1, 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.

8. The online learning courseware resource management method according to claim 7, 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.

9. 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 8, 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 lectures are marked. The specific process 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; 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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