CN113032602A - VR course editing method and system based on 3D image - Google Patents

VR course editing method and system based on 3D image Download PDF

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CN113032602A
CN113032602A CN202110473069.6A CN202110473069A CN113032602A CN 113032602 A CN113032602 A CN 113032602A CN 202110473069 A CN202110473069 A CN 202110473069A CN 113032602 A CN113032602 A CN 113032602A
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CN113032602B (en
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王亚刚
李元元
程思锦
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Guangdong Feidie Virtual Reality Technology Co.,Ltd.
Suzhou Feidie Virtual Reality Technology Co.,Ltd.
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Abstract

The invention provides a VR course editing method and system based on a 3D image, wherein the method comprises the following steps: when receiving an instruction of starting editing of a user, acquiring identity information of the user; configuring a corresponding basic template library and a basic material library based on the identity information; generating a VR course based on the basic template library, the basic material library and the editing operation of the user; wherein the editing operation comprises: one or more of a basic template in a basic template library, a basic material in a basic material library, an input custom material and an input custom template are taken; the basic materials and/or the custom materials comprise: one or more of 3D images, audio files, video files, texts and graphics. According to the VR course editing method based on the 3D images, through 3D image editing, course editing is enriched, the quality of the edited course is improved, students can effectively participate in the course, and the learning efficiency of the students is improved.

Description

VR course editing method and system based on 3D image
Technical Field
The invention relates to the technical field of teaching systems, in particular to a VR course editing method and system based on 3D images.
Background
At present, with the rapid development of information technology, various systems for teaching are developed, and the fundamental purpose is to improve the understanding of the content explained by a teacher by students, the interaction effect of the teacher and the students, and the like; thereby further improving the teaching quality.
However, the existing teaching system mainly forms the course of the teaching video through simple recording, and students cannot effectively participate in teaching activities.
Disclosure of Invention
One of the purposes of the invention is to provide a VR course editing method based on 3D images, which enriches course editing and improves the quality of edited courses through 3D image editing, so that students can effectively participate in the courses, and the learning efficiency of the students is improved.
The VR course editing method based on the 3D image provided by the embodiment of the invention comprises the following steps:
when receiving an instruction of starting editing of a user, acquiring identity information of the user;
configuring a corresponding basic template library and a basic material library based on the identity information;
generating a VR course based on the basic template library, the basic material library and the editing operation of the user;
wherein the editing operation comprises: one or more of a basic template in a basic template library, a basic material in a basic material library, an input custom material and an input custom template are taken;
the basic materials and/or the custom materials comprise: one or more of 3D images, audio files, video files, texts and graphics.
Preferably, configuring the corresponding basic template library and the basic material library based on the identity information includes:
analyzing the identity information, and determining subject information of the teaching of the user and corresponding teaching grade information;
inquiring a preset first configuration table based on subject information and teaching grade information, and determining a configured basic template library and a basic material library;
or the like, or, alternatively,
analyzing the identity information to determine I D information of the user;
based on I D information, querying a historical database to obtain historical course editing information;
analyzing the historical course editing information, and determining the target subject and the target grade of the user;
inquiring a preset second configuration table based on the target subject and the target grade information, and determining a configured basic template library and a basic material library;
or the like, or, alternatively,
based on the identity information, crawling subject information of teaching of the user and corresponding teaching grade information from a corresponding school official website;
inquiring a preset first configuration table based on subject information and teaching grade information, and determining a configured basic template library and a basic material library;
or the like, or, alternatively,
analyzing the identity information, and determining subject information of teaching of the user in the identity information and corresponding teaching grade information;
acquiring the last first information updating time of the subject information and the teaching grade information in the identity information;
acquiring the final second information updating time of the subject information of the teaching of the user and the corresponding teaching grade information crawled from the corresponding school official website;
taking the later time of the first information updating time and the second information updating time as a first reference time;
analyzing the identity information to determine I D information of the user;
based on I D information, querying a historical database to obtain historical course editing information;
analyzing the historical course editing information and determining the last editing time of the user;
acquiring a preset last time dividing point;
when the first reference time is earlier than the editing time and the editing time is later than the last time demarcation point, analyzing the historical course editing information, and determining the target subject and the target grade of the user; inquiring a preset second configuration table based on the target subject and the target grade information, and determining a configured basic template library and a basic material library;
when the editing time is earlier than the information updating time and the information updating time is later than the last time demarcation point, acquiring subject information and teaching grade information corresponding to the first reference time, inquiring a preset first configuration table based on the subject information and the teaching grade information, and determining a configured basic template library and a configured basic material library;
when the editing time and the first reference time are both earlier than the previous time demarcation point, grouping historical course editing information based on a preset demarcation principle, and determining a target subject and a target grade of a user based on the change trend of subject information and teaching grade information of each group; and inquiring a preset second configuration table based on the target subject and the target grade information, and determining a configured basic template library and a basic material library.
Preferably, a VR course is generated based on the basic template library, the basic material library and the editing operation of the user; the method comprises the following steps:
when a user selects a basic template from a basic template library or inputs a custom template, acquiring a category to which a first material of a first added material in the basic template or the custom template belongs;
acquiring first representation information corresponding to all basic materials in a category to which a first material belongs in a basic material library;
acquiring second representation information of a last added material in a VR course edited by a user last time;
determining a first association degree between the basic material and the last added material in the VR course edited by the user last time based on the first representation information and the second representation information; the first correlation calculation formula is as follows:
Figure BDA0003046270190000031
wherein, P is a first degree of association; xiRepresenting the similarity between the ith representation data in the first representation information and the ith representation data in the second representation information; alpha is alphaiThe weight corresponding to the similarity of the ith characterization data in the corresponding first characterization information; n is the number of the characterization data in the first characterization information;
and outputting the basic materials from large to small according to the degree of association for the user to select.
Preferably, a VR course is generated based on the basic template library, the basic material library and the editing operation of the user; the method comprises the following steps:
when a user adds an Nth material to N material positions, acquiring a category to which a second material corresponding to the Nth material in the basic template or the user-defined template belongs; acquiring first representation information corresponding to all basic materials in the category to which the second material belongs in a basic material library;
acquiring third representation information of first to N-1 th materials added by a user;
determining a first association degree between each base material in the category of the corresponding second material in the base material library and the first to the (N-1) th materials respectively based on the first representation information and the third representation information;
based on the first relevance, determining the adaptation degree of each base material in the category of the corresponding second material in the base material library to the Nth material position, wherein the adaptation degree calculation formula is as follows:
Figure BDA0003046270190000041
wherein S is the adaptation degree of the basic material to the Nth material position; pjA first degree of association between the base material and a jth material located at a jth material location; epsilonjThe weight of the preset corresponding jth material bit;
and outputting the basic materials from large to small according to the degree of adaptation for the user to select.
Preferably, the VR course editing method based on 3D images further includes:
analyzing VR courses, and acquiring knowledge points, explanation time of the knowledge points and operation consolidation time of the knowledge points;
acquiring a preset evaluation template corresponding to the knowledge points;
evaluating each knowledge point in the VR course based on the evaluation template to determine the evaluation value of the knowledge point; the knowledge comment value calculation formula is as follows:
Figure BDA0003046270190000042
wherein PT is knowledge evaluation value, T1Is the explanation time; t is t1Consolidating time for the operation; t is0A preset standard evaluation time corresponding to the explanation time; t is t0A preset standard evaluation time corresponding to the operation consolidation time; gamma ray1、γ2、γ3Is a preset relation coefficient; PE is the similarity between the data of the knowledge points and the data of the standard knowledge points;
taking the average value of all knowledge evaluation values of the VR course as a course evaluation value of the VR course;
outputting abnormal information when the knowledge point evaluation value is lower than a preset first evaluation threshold value or the course evaluation value is lower than a preset second evaluation threshold value; wherein the exception information includes: points of lower knowledge and corresponding reasons for lower evaluation.
The invention also provides a VR course editing system based on 3D images, which comprises:
the obtaining module is used for obtaining the identity information of the user when receiving an editing starting instruction of the user;
the configuration module is used for configuring a corresponding basic template library and a corresponding basic material library based on the identity information;
the generating module is used for generating VR courses based on the basic template library, the basic material library and the editing operation of the user;
wherein the editing operation comprises: one or more of a basic template in a basic template library, a basic material in a basic material library, an input custom material and an input custom template are taken;
the basic materials and/or the custom materials comprise: one or more of 3D images, audio files, video files, texts and graphics.
Preferably, the configuration module performs the following operations:
analyzing the identity information, and determining subject information of the teaching of the user and corresponding teaching grade information;
inquiring a preset first configuration table based on subject information and teaching grade information, and determining a configured basic template library and a basic material library;
or the like, or, alternatively,
analyzing the identity information to determine I D information of the user;
based on I D information, querying a historical database to obtain historical course editing information;
analyzing the historical course editing information, and determining the target subject and the target grade of the user;
inquiring a preset second configuration table based on the target subject and the target grade information, and determining a configured basic template library and a basic material library;
or the like, or, alternatively,
based on the identity information, crawling subject information of teaching of the user and corresponding teaching grade information from a corresponding school official website;
inquiring a preset first configuration table based on subject information and teaching grade information, and determining a configured basic template library and a basic material library;
or the like, or, alternatively,
analyzing the identity information, and determining subject information of teaching of the user in the identity information and corresponding teaching grade information;
acquiring the last first information updating time of the subject information and the teaching grade information in the identity information;
acquiring the final second information updating time of the subject information of the teaching of the user and the corresponding teaching grade information crawled from the corresponding school official website;
taking the later time of the first information updating time and the second information updating time as a first reference time;
analyzing the identity information to determine I D information of the user;
based on I D information, querying a historical database to obtain historical course editing information;
analyzing the historical course editing information and determining the last editing time of the user;
acquiring a preset last time dividing point;
when the first reference time is earlier than the editing time and the editing time is later than the last time demarcation point, analyzing the historical course editing information, and determining the target subject and the target grade of the user; inquiring a preset second configuration table based on the target subject and the target grade information, and determining a configured basic template library and a basic material library;
when the editing time is earlier than the information updating time and the information updating time is later than the last time demarcation point, acquiring subject information and teaching grade information corresponding to the first reference time, inquiring a preset first configuration table based on the subject information and the teaching grade information, and determining a configured basic template library and a configured basic material library;
when the editing time and the first reference time are both earlier than the previous time demarcation point, grouping historical course editing information based on a preset demarcation principle, and determining a target subject and a target grade of a user based on the change trend of subject information and teaching grade information of each group; and inquiring a preset second configuration table based on the target subject and the target grade information, and determining a configured basic template library and a basic material library.
Preferably, the generation module performs the following operations:
when a user selects a basic template from a basic template library or inputs a custom template, acquiring a category to which a first material of a first added material in the basic template or the custom template belongs;
acquiring first representation information corresponding to all basic materials in a category to which a first material belongs in a basic material library;
acquiring second representation information of a last added material in a VR course edited by a user last time;
determining a first association degree between the basic material and the last added material in the VR course edited by the user last time based on the first representation information and the second representation information; the first correlation calculation formula is as follows:
Figure BDA0003046270190000071
wherein, P is a first degree of association; xiRepresenting the similarity between the ith representation data in the first representation information and the ith representation data in the second representation information; alpha is alphaiThe weight corresponding to the similarity of the ith characterization data in the corresponding first characterization information; n is the number of the characterization data in the first characterization information;
and outputting the basic materials from large to small according to the degree of association for the user to select.
Preferably, the generation module performs the following operations:
when a user adds an Nth material to N material positions, acquiring a category to which a second material corresponding to the Nth material in the basic template or the user-defined template belongs; acquiring first representation information corresponding to all basic materials in the category to which the second material belongs in a basic material library;
acquiring third representation information of first to N-1 th materials added by a user;
determining a first association degree between each base material in the category of the corresponding second material in the base material library and the first to the (N-1) th materials respectively based on the first representation information and the third representation information;
based on the first relevance, determining the adaptation degree of each base material in the category of the corresponding second material in the base material library to the Nth material position, wherein the adaptation degree calculation formula is as follows:
Figure BDA0003046270190000072
wherein S is the adaptation degree of the basic material to the Nth material position; pjIs a baseA first degree of association between a material and a jth material located at a jth material location; epsilonjThe weight of the preset corresponding jth material bit;
and outputting the basic materials from large to small according to the degree of adaptation for the user to select.
Preferably, the VR course editing system based on 3D images further includes: an evaluation module for evaluating the quality of the received signal,
the evaluation module performs the following operations:
analyzing VR courses, and acquiring knowledge points, explanation time of the knowledge points and operation consolidation time of the knowledge points;
acquiring a preset evaluation template corresponding to the knowledge points;
evaluating each knowledge point in the VR course based on the evaluation template to determine the evaluation value of the knowledge point; the knowledge comment value calculation formula is as follows:
Figure BDA0003046270190000073
wherein PT is knowledge evaluation value, T1Is the explanation time; t is t1Consolidating time for the operation; t is0A preset standard evaluation time corresponding to the explanation time; t is t0A preset standard evaluation time corresponding to the operation consolidation time; gamma ray1、γ2、γ3Is a preset relation coefficient; PE is the similarity between the data of the knowledge points and the data of the standard knowledge points;
taking the average value of all knowledge evaluation values of the VR course as a course evaluation value of the VR course;
outputting abnormal information when the knowledge point evaluation value is lower than a preset first evaluation threshold value or the course evaluation value is lower than a preset second evaluation threshold value; wherein the exception information includes: points of lower knowledge and corresponding reasons for lower evaluation.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic diagram of a VR course editing method based on a 3D image according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The embodiment of the invention provides a VR course editing method based on a 3D image, which comprises the following steps of:
step S1: when receiving an instruction of starting editing of a user, acquiring identity information of the user;
step S2: configuring a corresponding basic template library and a basic material library based on the identity information;
step S3: generating a VR course based on the basic template library, the basic material library and the editing operation of the user;
wherein the editing operation comprises: one or more of a basic template in a basic template library, a basic material in a basic material library, an input custom material and an input custom template are taken;
the basic materials and/or the custom materials comprise: one or more of 3D images, audio files, video files, texts and graphics.
The working principle and the beneficial effects of the technical scheme are as follows:
before VR course editing is started, configuring a basic template library and a basic material library which are adaptive to different users through the identity information of the users; then, generating a VR course according to the basic template library, the basic material library and the editing operation of the user; personalized material base configuration is realized, and the VR course generation efficiency is improved; materials required by the VR course are divided into a template and the materials, and then the VR course is edited based on the template and the materials, so that modular course editing is realized; the course editing efficiency is improved. By introducing a 3D image as an editing object; the course editing is enriched, the quality of the edited course is improved, the students can effectively participate in the course, and the learning efficiency of the students is improved. The 3D image editing is mainly applied to the aspect of experimental operation; namely, 3D modularization is carried out on experimental equipment such as beakers and measuring cups, 3D modularization devices are added on a basic 3D interface, and editing of an experimental course interface is achieved.
In one embodiment, configuring the corresponding base template library and base material library based on the identity information includes:
analyzing the identity information, and determining subject information of the teaching of the user and corresponding teaching grade information;
inquiring a preset first configuration table based on subject information and teaching grade information, and determining a configured basic template library and a basic material library;
or the like, or, alternatively,
analyzing the identity information to determine I D information of the user;
based on I D information, querying a historical database to obtain historical course editing information;
analyzing the historical course editing information, and determining the target subject and the target grade of the user;
inquiring a preset second configuration table based on the target subject and the target grade information, and determining a configured basic template library and a basic material library;
or the like, or, alternatively,
based on the identity information, crawling subject information of teaching of the user and corresponding teaching grade information from a corresponding school official website;
inquiring a preset first configuration table based on subject information and teaching grade information, and determining a configured basic template library and a basic material library;
or the like, or, alternatively,
analyzing the identity information, and determining subject information of teaching of the user in the identity information and corresponding teaching grade information;
acquiring the last first information updating time of the subject information and the teaching grade information in the identity information;
acquiring the final second information updating time of the subject information of the teaching of the user and the corresponding teaching grade information crawled from the corresponding school official website;
taking the later time of the first information updating time and the second information updating time as a first reference time;
analyzing the identity information to determine I D information of the user;
based on I D information, querying a historical database to obtain historical course editing information;
analyzing the historical course editing information and determining the last editing time of the user;
acquiring a preset last time dividing point;
when the first reference time is earlier than the editing time and the editing time is later than the last time demarcation point, analyzing the historical course editing information, and determining the target subject and the target grade of the user; inquiring a preset second configuration table based on the target subject and the target grade information, and determining a configured basic template library and a basic material library;
when the editing time is earlier than the information updating time and the information updating time is later than the last time demarcation point, acquiring subject information and teaching grade information corresponding to the first reference time, inquiring a preset first configuration table based on the subject information and the teaching grade information, and determining a configured basic template library and a configured basic material library;
when the editing time and the first reference time are both earlier than the previous time demarcation point, grouping historical course editing information based on a preset demarcation principle, and determining a target subject and a target grade of a user based on the change trend of subject information and teaching grade information of each group; and inquiring a preset second configuration table based on the target subject and the target grade information, and determining a configured basic template library and a basic material library.
The working principle and the beneficial effects of the technical scheme are as follows:
determining the subject and grade taught by the user through the identity information, and configuring a corresponding basic template library and a corresponding basic material library for the subject and grade taught by the user, so as to realize intelligent configuration and humanized configuration; after configuration, outputting a prompt whether to accept the configuration, and applying the configuration when a user clicks confirmation; when the user clicks no, outputting selection marks of each basic template library and the basic material library for the user to select, thereby completing configuration; in addition, the intention of the user can be determined according to the historical course editing information of the user; for example: and when the historical course editions are all in the same grade and in the same subject, configuring a corresponding basic template library and a corresponding basic material library. Certainly, in order to realize more intellectualization, the subject and the teaching grade in the identity information, the subject and the teaching grade on the school official website, the editing information of the historical courses, the time demarcation point and the demarcation principle can be comprehensively considered; the configuration of a basic template library and a basic material library is accurately realized; wherein, the time demarcation point is the starting point and/or the ending point of a scholarly term; the demarcation principle is, for example, a schduled division into demarcations.
In one embodiment, a VR course is generated based on a base template library, a base materials library, and a user's editing operations; the method comprises the following steps:
when a user selects a basic template from a basic template library or inputs a custom template, acquiring a category to which a first material of a first added material in the basic template or the custom template belongs;
acquiring first representation information corresponding to all basic materials in a category to which a first material belongs in a basic material library;
acquiring second representation information of a last added material in a VR course edited by a user last time;
determining a first association degree between the basic material and the last added material in the VR course edited by the user last time based on the first representation information and the second representation information; the first correlation calculation formula is as follows:
Figure BDA0003046270190000111
wherein, P is a first degree of association; xiRepresenting the similarity between the ith representation data in the first representation information and the ith representation data in the second representation information; alpha is alphaiThe weight corresponding to the similarity of the ith characterization data in the corresponding first characterization information; n is the number of the characterization data in the first characterization information;
and outputting the basic materials from large to small according to the degree of association for the user to select.
The working principle and the beneficial effects of the technical scheme are as follows:
as a normal teacher activity, the last course editing has a certain relation with the current course editing; therefore, the first material edited by the current course can be selected according to the last material edited by the previous course; through the class limitation of the first material of the template, the materials under the class and the association degree of the last material edited in the course at the last time are sequenced on the basis of the configured material library, so that a user can select the current material conveniently; the intellectualization of material selection is improved; the relevance is mainly expressed in whether the knowledge points are adjacent knowledge points of the teaching outline or not; whether the knowledge points are adjacent knowledge points of the teaching material, whether the knowledge points are front knowledge points, whether the knowledge points are rear knowledge points and the like; characterizing the data as data embodying the above aspects; for example, the characterization data may include a leading knowledge point as an a knowledge point, a trailing knowledge point as a B knowledge point, and the like. In addition, the knowledge points can be numbered according to the knowledge point sequence of the teaching outline; knowledge points with similar numbers can draw a more similar conclusion than knowledge points with large number difference according to the similarity calculation principle.
In one embodiment, a VR course is generated based on a base template library, a base materials library, and a user's editing operations; the method comprises the following steps:
when a user adds an Nth material to N material positions, acquiring a category to which a second material corresponding to the Nth material in the basic template or the user-defined template belongs; acquiring first representation information corresponding to all basic materials in the category to which the second material belongs in a basic material library;
acquiring third representation information of first to N-1 th materials added by a user;
determining a first association degree between each base material in the category of the corresponding second material in the base material library and the first to the (N-1) th materials respectively based on the first representation information and the third representation information;
based on the first relevance, determining the adaptation degree of each base material in the category of the corresponding second material in the base material library to the Nth material position, wherein the adaptation degree calculation formula is as follows:
Figure BDA0003046270190000121
wherein S is the adaptation degree of the basic material to the Nth material position; pjA first degree of association between the base material and a jth material located at a jth material location; epsilonjThe weight of the preset corresponding jth material bit;
and outputting the basic materials from large to small according to the degree of adaptation for the user to select.
The working principle and the beneficial effects of the technical scheme are as follows:
as a normal teacher activity, the materials edited in the course have a certain correlation; therefore, the materials to be added can be selected according to the added materials; the method comprises the steps of defining the types of materials to be added through a template, determining the adaptation degree of the materials and the material positions in the template based on the association degree of the materials of a configured material library in the types and each added material in the course editing, and sequencing based on the adaptation degree, so that a user can conveniently select the materials; the intellectualization of material selection is improved.
In one embodiment, the 3D image-based VR course editing method further includes:
analyzing VR courses, and acquiring knowledge points, explanation time of the knowledge points and operation consolidation time of the knowledge points;
acquiring a preset evaluation template corresponding to the knowledge points;
evaluating each knowledge point in the VR course based on the evaluation template to determine the evaluation value of the knowledge point; the knowledge comment value calculation formula is as follows:
Figure BDA0003046270190000131
wherein PT is knowledge evaluation value, T1Is the explanation time; t is t1Consolidating time for the operation; t is0A preset standard evaluation time corresponding to the explanation time; t is t0A preset standard evaluation time corresponding to the operation consolidation time; gamma ray1、γ2、γ3Is a preset relation coefficient; PE is the similarity between the data of the knowledge points and the data of the standard knowledge points;
taking the average value of all knowledge evaluation values of the VR course as a course evaluation value of the VR course;
outputting abnormal information when the knowledge point evaluation value is lower than a preset first evaluation threshold value or the course evaluation value is lower than a preset second evaluation threshold value; wherein the exception information includes: points of lower knowledge and corresponding reasons for lower evaluation.
The working principle and the beneficial effects of the technical scheme are as follows:
by evaluating the VR course, the applicability of the VR course to students is guaranteed based on standard explanation time, standard operation consolidation time and standard content data; the standard lecture time, the standard operation consolidation time, and the standard content data are empirical values summarized based on a large number of teaching experiences. And when the evaluation of the VR course is too low, outputting abnormal information to the user to guide the user to modify.
In one embodiment, the 3D image-based VR course editing method further includes:
receiving a custom material uploaded by a user;
evaluating the self-defined material based on a preset material evaluation model, and outputting a first material evaluation value;
and when the first material evaluation value is smaller than a preset evaluation threshold value, obtaining and outputting a material which is stored in the system and has an evaluation value larger than the first material evaluation value and a similarity with the user-defined material larger than a preset threshold value.
The working principle and the beneficial effects of the technical scheme are as follows:
the user can accurately control the quality of the uploaded material by evaluating the self-defined material uploaded by the user; when the evaluation is too low, namely the evaluation value of the first material is smaller than a preset evaluation threshold value; outputting similar materials in the system for the user to use or refer to so as to improve the quality of the user-defined materials; thereby improving the quality of the course.
The invention also provides a VR course editing system based on 3D images, which comprises:
the obtaining module is used for obtaining the identity information of the user when receiving an editing starting instruction of the user;
the configuration module is used for configuring a corresponding basic template library and a corresponding basic material library based on the identity information;
the generating module is used for generating VR courses based on the basic template library, the basic material library and the editing operation of the user;
wherein the editing operation comprises: one or more of a basic template in a basic template library, a basic material in a basic material library, an input custom material and an input custom template are taken;
the basic materials and/or the custom materials comprise: one or more of 3D images, audio files, video files, texts and graphics.
The working principle and the beneficial effects of the technical scheme are as follows:
before VR course editing is started, configuring a basic template library and a basic material library which are adaptive to different users through the identity information of the users; then, generating a VR course according to the basic template library, the basic material library and the editing operation of the user; personalized material base configuration is realized, and the VR course generation efficiency is improved; materials required by the VR course are divided into a template and the materials, and then the VR course is edited based on the template and the materials, so that modular course editing is realized; the course editing efficiency is improved. By introducing a 3D image as an editing object; the course editing is enriched, the quality of the edited course is improved, the students can effectively participate in the course, and the learning efficiency of the students is improved. The 3D image editing is mainly applied to the aspect of experimental operation; namely, 3D modularization is carried out on experimental equipment such as beakers and measuring cups, 3D modularization devices are added on a basic 3D interface, and editing of an experimental course interface is achieved.
In one embodiment, the configuration module performs the following operations:
analyzing the identity information, and determining subject information of the teaching of the user and corresponding teaching grade information;
inquiring a preset first configuration table based on subject information and teaching grade information, and determining a configured basic template library and a basic material library;
or the like, or, alternatively,
analyzing the identity information to determine I D information of the user;
based on I D information, querying a historical database to obtain historical course editing information;
analyzing the historical course editing information, and determining the target subject and the target grade of the user;
inquiring a preset second configuration table based on the target subject and the target grade information, and determining a configured basic template library and a basic material library;
or the like, or, alternatively,
based on the identity information, crawling subject information of teaching of the user and corresponding teaching grade information from a corresponding school official website;
inquiring a preset first configuration table based on subject information and teaching grade information, and determining a configured basic template library and a basic material library;
or the like, or, alternatively,
analyzing the identity information, and determining subject information of teaching of the user in the identity information and corresponding teaching grade information;
acquiring the last first information updating time of the subject information and the teaching grade information in the identity information;
acquiring the final second information updating time of the subject information of the teaching of the user and the corresponding teaching grade information crawled from the corresponding school official website;
taking the later time of the first information updating time and the second information updating time as a first reference time;
analyzing the identity information to determine I D information of the user;
based on I D information, querying a historical database to obtain historical course editing information;
analyzing the historical course editing information and determining the last editing time of the user;
acquiring a preset last time dividing point;
when the first reference time is earlier than the editing time and the editing time is later than the last time demarcation point, analyzing the historical course editing information, and determining the target subject and the target grade of the user; inquiring a preset second configuration table based on the target subject and the target grade information, and determining a configured basic template library and a basic material library;
when the editing time is earlier than the information updating time and the information updating time is later than the last time demarcation point, acquiring subject information and teaching grade information corresponding to the first reference time, inquiring a preset first configuration table based on the subject information and the teaching grade information, and determining a configured basic template library and a configured basic material library;
when the editing time and the first reference time are both earlier than the previous time demarcation point, grouping historical course editing information based on a preset demarcation principle, and determining a target subject and a target grade of a user based on the change trend of subject information and teaching grade information of each group; and inquiring a preset second configuration table based on the target subject and the target grade information, and determining a configured basic template library and a basic material library.
The working principle and the beneficial effects of the technical scheme are as follows:
determining the subject and grade taught by the user through the identity information, and configuring a corresponding basic template library and a corresponding basic material library for the subject and grade taught by the user, so as to realize intelligent configuration and humanized configuration; after configuration, outputting a prompt whether to accept the configuration, and applying the configuration when a user clicks confirmation; when the user clicks no, outputting selection marks of each basic template library and the basic material library for the user to select, thereby completing configuration; in addition, the intention of the user can be determined according to the historical course editing information of the user; for example: and when the historical course editions are all in the same grade and in the same subject, configuring a corresponding basic template library and a corresponding basic material library. Certainly, in order to realize more intellectualization, the subject and the teaching grade in the identity information, the subject and the teaching grade on the school official website, the editing information of the historical courses, the time demarcation point and the demarcation principle can be comprehensively considered; the configuration of a basic template library and a basic material library is accurately realized; wherein, the time demarcation point is the starting point and/or the ending point of a scholarly term; the demarcation principle is, for example, a schduled division into demarcations.
In one embodiment, the generation module performs the following operations:
when a user selects a basic template from a basic template library or inputs a custom template, acquiring a category to which a first material of a first added material in the basic template or the custom template belongs;
acquiring first representation information corresponding to all basic materials in a category to which a first material belongs in a basic material library;
acquiring second representation information of a last added material in a VR course edited by a user last time;
determining a first association degree between the basic material and the last added material in the VR course edited by the user last time based on the first representation information and the second representation information; the first correlation calculation formula is as follows:
Figure BDA0003046270190000171
wherein, P is a first degree of association; xiRepresenting the similarity between the ith representation data in the first representation information and the ith representation data in the second representation information; alpha is alphaiThe weight corresponding to the similarity of the ith characterization data in the corresponding first characterization information; n is the number of the characterization data in the first characterization information;
and outputting the basic materials from large to small according to the degree of association for the user to select.
The working principle and the beneficial effects of the technical scheme are as follows:
as a normal teacher activity, the last course editing has a certain relation with the current course editing; therefore, the first material edited by the current course can be selected according to the last material edited by the previous course; through the class limitation of the first material of the template, the materials under the class and the association degree of the last material edited in the course at the last time are sequenced on the basis of the configured material library, so that a user can select the current material conveniently; the intellectualization of material selection is improved; the relevance is mainly expressed in whether the knowledge points are adjacent knowledge points of the teaching outline or not; whether the knowledge points are adjacent knowledge points of the teaching material, whether the knowledge points are front knowledge points, whether the knowledge points are rear knowledge points and the like; characterizing the data as data embodying the above aspects; for example, the characterization data may include a leading knowledge point as an a knowledge point, a trailing knowledge point as a B knowledge point, and the like. In addition, the knowledge points can be numbered according to the knowledge point sequence of the teaching outline; knowledge points with similar numbers can draw a more similar conclusion than knowledge points with large number difference according to the similarity calculation principle.
In one embodiment, the generation module performs the following operations:
when a user adds an Nth material to N material positions, acquiring a category to which a second material corresponding to the Nth material in the basic template or the user-defined template belongs; acquiring first representation information corresponding to all basic materials in the category to which the second material belongs in a basic material library;
acquiring third representation information of first to N-1 th materials added by a user;
determining a first association degree between each base material in the category of the corresponding second material in the base material library and the first to the (N-1) th materials respectively based on the first representation information and the third representation information;
based on the first relevance, determining the adaptation degree of each base material in the category of the corresponding second material in the base material library to the Nth material position, wherein the adaptation degree calculation formula is as follows:
Figure BDA0003046270190000181
wherein S is the adaptation degree of the basic material to the Nth material position; pjA first degree of association between the base material and a jth material located at a jth material location; epsilonjThe weight of the preset corresponding jth material bit;
and outputting the basic materials from large to small according to the degree of adaptation for the user to select.
The working principle and the beneficial effects of the technical scheme are as follows:
as a normal teacher activity, the materials edited in the course have a certain correlation; therefore, the materials to be added can be selected according to the added materials; the method comprises the steps of defining the types of materials to be added through a template, determining the adaptation degree of the materials and the material positions in the template based on the association degree of the materials of a configured material library in the types and each added material in the course editing, and sequencing based on the adaptation degree, so that a user can conveniently select the materials; the intellectualization of material selection is improved.
In one embodiment, the 3D image-based VR course editing system further comprises: an evaluation module for evaluating the quality of the received signal,
the evaluation module performs the following operations:
analyzing VR courses, and acquiring knowledge points, explanation time of the knowledge points and operation consolidation time of the knowledge points;
acquiring a preset evaluation template corresponding to the knowledge points;
evaluating each knowledge point in the VR course based on the evaluation template to determine the evaluation value of the knowledge point; the knowledge comment value calculation formula is as follows:
Figure BDA0003046270190000182
wherein PT is knowledge evaluation value, T1Is the explanation time; t is t1Consolidating time for the operation; t is0For corresponding explanation timeThe preset standard evaluation time; t is t0A preset standard evaluation time corresponding to the operation consolidation time; gamma ray1、γ2、γ3Is a preset relation coefficient; PE is the similarity between the data of the knowledge points and the data of the standard knowledge points;
taking the average value of all knowledge evaluation values of the VR course as a course evaluation value of the VR course;
outputting abnormal information when the knowledge point evaluation value is lower than a preset first evaluation threshold value or the course evaluation value is lower than a preset second evaluation threshold value; wherein the exception information includes: points of lower knowledge and corresponding reasons for lower evaluation.
The working principle and the beneficial effects of the technical scheme are as follows:
by evaluating the VR course, the applicability of the VR course to students is guaranteed based on standard explanation time, standard operation consolidation time and standard content data; the standard lecture time, the standard operation consolidation time, and the standard content data are empirical values summarized based on a large number of teaching experiences. And when the evaluation of the VR course is too low, outputting abnormal information to the user to guide the user to modify.
In one embodiment, the evaluation module further performs the following operations:
receiving a custom material uploaded by a user;
evaluating the self-defined material based on a preset material evaluation model, and outputting a first material evaluation value;
and when the first material evaluation value is smaller than a preset evaluation threshold value, obtaining and outputting a material which is stored in the system and has an evaluation value larger than the first material evaluation value and a similarity with the user-defined material larger than a preset threshold value.
The working principle and the beneficial effects of the technical scheme are as follows:
the user can accurately control the quality of the uploaded material by evaluating the self-defined material uploaded by the user; when the evaluation is too low, namely the evaluation value of the first material is smaller than a preset evaluation threshold value; outputting similar materials in the system for the user to use or refer to so as to improve the quality of the user-defined materials; thereby improving the quality of the course.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. A VR course editing method based on 3D images is characterized by comprising the following steps:
when receiving an instruction of a user for starting editing, acquiring identity information of the user;
configuring a corresponding basic template library and a basic material library based on the identity information;
generating a VR course based on the basic template library, the basic material library and the editing operation of a user;
wherein the editing operation comprises: calling a basic template in the basic template library, calling a basic material in the basic material library, inputting a custom material and inputting one or more of custom templates;
the base material and/or the custom material comprises: one or more of 3D images, audio files, video files, texts and graphics.
2. The 3D image-based VR course editing method of claim 1, wherein configuring the corresponding base template library and base materials library based on the identity information comprises:
analyzing the identity information, and determining subject information of the teaching of the user and corresponding teaching grade information;
inquiring a preset first configuration table based on the subject information and the teaching grade information, and determining the configured basic template library and basic material library;
or the like, or, alternatively,
analyzing the identity information and determining the ID information of the user;
inquiring a historical database based on the ID information to obtain historical course editing information;
analyzing the historical course editing information, and determining the target subject and the target grade of the user;
inquiring a preset second configuration table based on the target subject and the target grade information, and determining the configured basic template library and basic material library;
or the like, or, alternatively,
based on the identity information, crawling subject information of the teaching of the user and corresponding teaching grade information from a corresponding school official website;
inquiring a preset first configuration table based on the subject information and the teaching grade information, and determining the configured basic template library and basic material library;
or the like, or, alternatively,
analyzing the identity information, and determining subject information of the teaching of the user and corresponding teaching grade information in the identity information;
acquiring the last first information updating time of the subject information and the teaching grade information in the identity information;
acquiring final second information updating time of the subject information of the teaching of the user and the corresponding teaching grade information crawled from the corresponding school official website;
taking the later time of the first information updating time and the second information updating time as a first reference time;
analyzing the identity information and determining the ID information of the user;
inquiring a historical database based on the ID information to obtain historical course editing information;
analyzing the historical course editing information and determining the last editing time of the user;
acquiring a preset last time dividing point;
when the first reference time is earlier than the editing time and the editing time is later than the last time demarcation point, analyzing the historical course editing information, and determining a target subject and a target grade of the user; inquiring a preset second configuration table based on the target subject and the target grade information, and determining the configured basic template library and basic material library;
when the editing time is earlier than the information updating time and the information updating time is later than the last time demarcation point, acquiring the subject information and the teaching grade information corresponding to the first reference time, inquiring a preset first configuration table based on the subject information and the teaching grade information, and determining the configured basic template library and basic material library;
when the editing time and the first reference time are both earlier than the last time demarcation point, grouping the historical course editing information based on a preset demarcation principle, and determining a target subject and a target grade of the user based on the change trend of the subject information and the teaching grade information of each group; and inquiring a preset second configuration table based on the target subject and the target grade information, and determining the configured basic template library and basic material library.
3. The 3D image-based VR course editing method of claim 1, wherein the VR course is generated based on the base template library, the base materials library, and an editing operation by a user; the method comprises the following steps:
when the user selects a basic template from the basic template library or inputs the custom template, acquiring a category to which a first material of a first added material in the basic template or the custom template belongs;
acquiring first representation information corresponding to all basic materials in the category to which the first material belongs in the basic material library;
acquiring second representation information of a last added material in the VR course edited by the user last time;
determining a first degree of association between the base material and a last added material in a VR course edited by the user last time based on the first characterization information and the second characterization information; the first association degree calculation formula is as follows:
Figure FDA0003046270180000031
wherein P is the first degree of association; xiRepresenting the similarity between the ith representation data in the first representation information and the ith representation data in the second representation information; alpha is alphaiThe weight corresponds to the similarity of the ith characterization data in the first characterization information; n is the number of the characterization data in the first characterization information;
and outputting the basic materials from large to small according to the relevance for the user to select.
4. The 3D image-based VR course editing method of claim 1, wherein the VR course is generated based on the base template library, the base materials library, and an editing operation by a user; the method comprises the following steps:
when the user adds the Nth material to the N material positions, acquiring the category of a second material corresponding to the Nth material in the basic template or the user-defined template; acquiring first representation information corresponding to all basic materials in the category to which the second material belongs in the basic material library;
acquiring third representation information of the first to the N-1 th materials added by the user;
determining the first association degree between each base material in the category of the second material corresponding to the base material library and the first to the N-1 th materials respectively based on the first representation information and the third representation information;
determining the adaptation degree of each base material in the category of the second material in the base material library to the Nth material bit based on the first association degree, wherein the adaptation degree calculation formula is as follows:
Figure FDA0003046270180000041
wherein S is the adaptation degree of the basic material to the Nth material bit; pjThe first degree of association between the basic material and a jth material located at a jth material position is determined; epsilonjThe preset weight corresponding to the jth material bit;
and outputting the basic materials from large to small according to the suitability for the user to select.
5. The 3D image-based VR course editing method of claim 1, further comprising:
analyzing the VR course, and acquiring each knowledge point, and explanation time and operation consolidation time corresponding to the knowledge point;
acquiring a preset evaluation template corresponding to the knowledge points;
evaluating each knowledge point in the VR course based on the evaluation template to determine the evaluation value of the knowledge point; the knowledge comment value calculation formula is as follows:
Figure FDA0003046270180000042
wherein PT is the knowledge criticizing value, T1Is the explanation time; t is t1Consolidating the operation for a time; t is0The preset standard evaluation time corresponding to the explanation time is obtained; t is t0Evaluating time for a preset standard corresponding to the operation consolidation time; gamma ray1、γ2、γ3Is a preset relation coefficient; PE is the similarity between the data of the knowledge points and the data of standard knowledge points;
taking an average value of all knowledge evaluation values of the VR course as a course evaluation value of the VR course;
when the knowledge point evaluation value is lower than a preset first evaluation threshold value or the course evaluation value is lower than a preset second evaluation threshold value, outputting abnormal information; wherein the anomaly information includes: the knowledge points with lower evaluation and the corresponding reasons for the lower evaluation.
6. A VR lesson editing system based on 3D images, comprising:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring the identity information of a user when receiving an instruction of starting editing of the user;
the configuration module is used for configuring a corresponding basic template library and a corresponding basic material library based on the identity information;
the generating module is used for generating VR courses based on the basic template library, the basic material library and the editing operation of a user;
wherein the editing operation comprises: calling a basic template in the basic template library, calling a basic material in the basic material library, inputting a custom material and inputting one or more of custom templates;
the base material and/or the custom material comprises: one or more of 3D images, audio files, video files, texts and graphics.
7. The 3D image-based VR lesson editing system of claim 6 wherein the configuration module is to:
analyzing the identity information, and determining subject information of the teaching of the user and corresponding teaching grade information;
inquiring a preset first configuration table based on the subject information and the teaching grade information, and determining the configured basic template library and basic material library;
or the like, or, alternatively,
analyzing the identity information and determining the ID information of the user;
inquiring a historical database based on the ID information to obtain historical course editing information;
analyzing the historical course editing information, and determining the target subject and the target grade of the user;
inquiring a preset second configuration table based on the target subject and the target grade information, and determining the configured basic template library and basic material library;
or the like, or, alternatively,
based on the identity information, crawling subject information of the teaching of the user and corresponding teaching grade information from a corresponding school official website;
inquiring a preset first configuration table based on the subject information and the teaching grade information, and determining the configured basic template library and basic material library;
or the like, or, alternatively,
analyzing the identity information, and determining subject information of the teaching of the user and corresponding teaching grade information in the identity information;
acquiring the last first information updating time of the subject information and the teaching grade information in the identity information;
acquiring final second information updating time of the subject information of the teaching of the user and the corresponding teaching grade information crawled from the corresponding school official website;
taking the later time of the first information updating time and the second information updating time as a first reference time;
analyzing the identity information and determining the ID information of the user;
inquiring a historical database based on the ID information to obtain historical course editing information;
analyzing the historical course editing information and determining the last editing time of the user;
acquiring a preset last time dividing point;
when the first reference time is earlier than the editing time and the editing time is later than the last time demarcation point, analyzing the historical course editing information, and determining a target subject and a target grade of the user; inquiring a preset second configuration table based on the target subject and the target grade information, and determining the configured basic template library and basic material library;
when the editing time is earlier than the information updating time and the information updating time is later than the last time demarcation point, acquiring the subject information and the teaching grade information corresponding to the first reference time, inquiring a preset first configuration table based on the subject information and the teaching grade information, and determining the configured basic template library and basic material library;
when the editing time and the first reference time are both earlier than the last time demarcation point, grouping the historical course editing information based on a preset demarcation principle, and determining a target subject and a target grade of the user based on the change trend of the subject information and the teaching grade information of each group; and inquiring a preset second configuration table based on the target subject and the target grade information, and determining the configured basic template library and basic material library.
8. The 3D image-based VR lesson editing system of claim 6 wherein the generation module is to:
when the user selects a basic template from the basic template library or inputs the custom template, acquiring a category to which a first material of a first added material in the basic template or the custom template belongs;
acquiring first representation information corresponding to all basic materials in the category to which the first material belongs in the basic material library;
acquiring second representation information of a last added material in the VR course edited by the user last time;
determining a first degree of association between the base material and a last added material in a VR course edited by the user last time based on the first characterization information and the second characterization information; the first association degree calculation formula is as follows:
Figure FDA0003046270180000071
wherein P isThe first degree of association; xiRepresenting the similarity between the ith representation data in the first representation information and the ith representation data in the second representation information; alpha is alphaiThe weight corresponds to the similarity of the ith characterization data in the first characterization information; n is the number of the characterization data in the first characterization information;
and outputting the basic materials from large to small according to the relevance for the user to select.
9. The 3D image-based VR lesson editing system of claim 6 wherein the generation module is to:
when the user adds the Nth material to the N material positions, acquiring the category of a second material corresponding to the Nth material in the basic template or the user-defined template; acquiring first representation information corresponding to all basic materials in the category to which the second material belongs in the basic material library;
acquiring third representation information of the first to the N-1 th materials added by the user;
determining the first association degree between each base material in the category of the second material corresponding to the base material library and the first to the N-1 th materials respectively based on the first representation information and the third representation information;
determining the adaptation degree of each base material in the category of the second material in the base material library to the Nth material bit based on the first association degree, wherein the adaptation degree calculation formula is as follows:
Figure FDA0003046270180000081
wherein S is the adaptation degree of the basic material to the Nth material bit; pjThe first degree of association between the basic material and a jth material located at a jth material position is determined; epsilonjThe preset weight corresponding to the jth material bit;
and outputting the basic materials from large to small according to the suitability for the user to select.
10. The 3D image-based VR lesson editing system of claim 6 further comprising: an evaluation module for evaluating the quality of the received signal,
the evaluation module performs the following operations:
analyzing the VR course, and acquiring each knowledge point, and explanation time and operation consolidation time corresponding to the knowledge point;
acquiring a preset evaluation template corresponding to the knowledge points;
evaluating each knowledge point in the VR course based on the evaluation template to determine the evaluation value of the knowledge point; the knowledge comment value calculation formula is as follows:
Figure FDA0003046270180000082
wherein PT is the knowledge criticizing value, T1Is the explanation time; t is t1Consolidating the operation for a time; t is0The preset standard evaluation time corresponding to the explanation time is obtained; t is t0Evaluating time for a preset standard corresponding to the operation consolidation time; gamma ray1、γ2、γ3Is a preset relation coefficient; PE is the similarity between the data of the knowledge points and the data of standard knowledge points;
taking an average value of all knowledge evaluation values of the VR course as a course evaluation value of the VR course;
when the knowledge point evaluation value is lower than a preset first evaluation threshold value or the course evaluation value is lower than a preset second evaluation threshold value, outputting abnormal information; wherein the anomaly information includes: the knowledge points with lower evaluation and the corresponding reasons for the lower evaluation.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116150110A (en) * 2023-04-20 2023-05-23 广东省出版集团数字出版有限公司 Automatic digital teaching material modeling system based on AI deep learning

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101105853A (en) * 2007-08-16 2008-01-16 上海交通大学 Personalized teaching-guiding system based on non-zero jumping-off point in network teaching
US20100159430A1 (en) * 2008-12-22 2010-06-24 Electronics And Telecommunications Research Institute Educational system and method using virtual reality
CN102508846A (en) * 2011-09-26 2012-06-20 深圳中兴网信科技有限公司 Internet based method and system for recommending media courseware
CN102750139A (en) * 2011-12-06 2012-10-24 深圳市爱慧思科技有限公司 On-line course editing system and method for establishing on-line courses
CN103353939A (en) * 2013-06-19 2013-10-16 电子科技大学 Image characteristic object template extraction and identification method under dynamic background
CN103914591A (en) * 2014-03-19 2014-07-09 北京农业信息技术研究中心 Sugarcane planting 3D (three-dimensional) interactive virtual teaching and practical training system and modeling method thereof
CN105786995A (en) * 2016-02-18 2016-07-20 百度在线网络技术（北京）有限公司 Method and device for screening multimedia materials
CN106251723A (en) * 2016-09-09 2016-12-21 深圳市企鹅网络科技有限公司 The on-line education system of a kind of mobile Internet and method
CN107341979A (en) * 2017-05-11 2017-11-10 芜湖威灵数码科技有限公司 A kind of miniature VR computers in education system
CN110825892A (en) * 2019-11-01 2020-02-21 广州云蝶科技有限公司 Courseware generation method
CN111324920A (en) * 2020-03-17 2020-06-23 广东三维家信息科技有限公司 Material sorting method and device, electronic equipment and computer readable medium

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101105853A (en) * 2007-08-16 2008-01-16 上海交通大学 Personalized teaching-guiding system based on non-zero jumping-off point in network teaching
US20100159430A1 (en) * 2008-12-22 2010-06-24 Electronics And Telecommunications Research Institute Educational system and method using virtual reality
CN102508846A (en) * 2011-09-26 2012-06-20 深圳中兴网信科技有限公司 Internet based method and system for recommending media courseware
CN102750139A (en) * 2011-12-06 2012-10-24 深圳市爱慧思科技有限公司 On-line course editing system and method for establishing on-line courses
CN103353939A (en) * 2013-06-19 2013-10-16 电子科技大学 Image characteristic object template extraction and identification method under dynamic background
CN103914591A (en) * 2014-03-19 2014-07-09 北京农业信息技术研究中心 Sugarcane planting 3D (three-dimensional) interactive virtual teaching and practical training system and modeling method thereof
CN105786995A (en) * 2016-02-18 2016-07-20 百度在线网络技术（北京）有限公司 Method and device for screening multimedia materials
CN106251723A (en) * 2016-09-09 2016-12-21 深圳市企鹅网络科技有限公司 The on-line education system of a kind of mobile Internet and method
CN107341979A (en) * 2017-05-11 2017-11-10 芜湖威灵数码科技有限公司 A kind of miniature VR computers in education system
CN110825892A (en) * 2019-11-01 2020-02-21 广州云蝶科技有限公司 Courseware generation method
CN111324920A (en) * 2020-03-17 2020-06-23 广东三维家信息科技有限公司 Material sorting method and device, electronic equipment and computer readable medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116150110A (en) * 2023-04-20 2023-05-23 广东省出版集团数字出版有限公司 Automatic digital teaching material modeling system based on AI deep learning

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