98 results about "Video learning" patented technology

The invention provides a remote video education system which comprises a server module, a learning management module, an examination management module, an on-line payment module and a courseware making module, wherein the learning management module is responsible for managing user information and course learning, and the examination management module provides user on-line examination. The remote video education system is characterized by also providing various real-time and non-real-time teaching interaction modules and a remote video client module for realizing remote video learning. By the cooperation among the modules, the system can realize real-time interaction between a teacher and a learner and between two learners, monitor the learning states of learners in real time and improve the learning efficiency of learners through remote video education. The invention provides various real-time and non-real-time on-line communication modes, thereby further reducing the difference between network video remote education and traditional face-to-face education in real-time interactive communication.

The present invention discloses a method for solving open-type long video question and answer by using a hierarchical codec network mechanism, which mainly comprises the following steps: 1) training an adaptive hierarchical coding neural network for a group of video, question and answer training set, segmenting the long video based on a question and video learning adaptive segmentation mechanism,thereby obtaining a joint expression of the video segment and the question; 2) for the output of the coded neural network obtaining the joint expression of the video and the question, combining the idea of reinforcement learning together with a related answer to train a decoding neural network, directed at a natural language answer corresponding to the output of the joint expression of the video and the question. Compared with the general video question and answer solution, the method for solving open-type long video question and answer by using a hierarchical codec network mechanism in the present invention utilizes question-based adaptive layering, which can better lock the segments favorable for answering questions in long videos, can better reflect the characteristics of the video, andutilizes the reinforcement learning mechanism to train the decoder, so that a more powerful decoder can be obtained, and an answer better satisfying the requirement is produced. The effect achieved by the method in the present invention in the long video question and answer questions is better than the traditional method.

The invention discloses an interactive education method, which comprises the following steps that: audio and video display equipment receives two-dimensional code information from image scanning equipment; the audio and video display equipment obtains an address of an audio and video resource corresponding to the two-dimensional code information according to the two-dimensional code information; and the audio and video display equipment acquires the audio and video resource according to the address of the audio and video resource, and plays the audio and video resource. The invention also provides the audio and video display equipment and a corresponding system. According to the interactive education method, printed data learning and video learning are combined for interactive education, so that the method has the depth and systematicness of the printed data learning and the vividness and interestingness of the video learning, and the learning enthusiasm and efficiency of a user are improved; and moreover, the conventional function mode of the audio and video display equipment is changed, so that a good experience can be brought to the user.

The embodiment of the invention relates to the technical field of human-computer interaction, and discloses an interactive learning method and device in a video playing process, and terminal equipment. The method comprises the following steps of: detecting a first interactive switching instruction in a process of outputting a video in an operation interface of a video learning application, wherein the first interactive switching instruction is used for indicating switching of interface contents output by the operation interface; determining knowledge point information corresponding to the video and obtaining test question information corresponding to the knowledge point information according to the first interactive switching instruction, pausing video output in the operation interface and outputting the test question information for users to respond in the operation interface, detecting a second interactive switching instruction in a process of outputting the test question information in the operation interface, wherein the second interactive switching instruction is used for indicating switching of interface contents output by the operation interface, and continuously outputting the video in the operation interface according to the second interactive switching instruction. By means of the embodiment of the invention, the learning effect and the learning initiative of users can be improved.

The invention is applicable to the technical field of a computer and provides an examination question pushing method and device. The method comprises the steps of receiving a examination question generation request input by a user, wherein the examination question generation request comprises an identification number of a video learning file, and the identification number is used for identifying the video learning file; obtaining a referred subject of the video learning file and matching corresponding examination questions in a preset examination question library according to the referred subject; and selecting the examination questions of the corresponding number for the referred subject from the matched examination questions and outputting the selected examination questions to the user. The examination question pushing automatic and intelligent degree is improved, the availability of the output examination questions is effectively improved, and the learning efficiency of the user is improved.

The invention discloses a cross-course video sub-graph recommendation method based on map association, which comprises the following steps: 1) extracting video learning behavior characteristics by using learner's network learning log based on implicit feedback; 2) obtain that videoSeeds of a seed video set; 3) Constructing knowledge points across courses Video association map; 4) Making use of cross-curriculum knowledge points Video Correlation Map Calculation Course Video Correlation Degree; 5) By using the implicit characteristics of user behavior, take a seed video set, Combining with course video relevance degree, this method provides learners with cross-course video subgraph containing knowledge relevance.This method can synthetically consider the characteristics of users' implicit learning and the knowledge relevance between course videos, and provide online learning platform learners with course video recommendation satisfying their learning preferences and considering cross-course knowledge relevance.

The invention discloses an attributive characteristic representation-based group behavior identification method, and mainly solves the problems that in an identification process, preprocessing is complicated and later-period modeling is complicated. The identification process includes acquisition of a characteristic dictionary, acquisition of a video attribute vector and test video behavior prediction. The method includes: dividing an original video sequence into videos containing certain frames, dividing the videos into grid cubes, and extracting grid cube descriptors to obtain the characteristic dictionary; obtaining the descriptors of the videos according to the dictionary, calibrating an attribute vector of trained videos, obtaining an attribute classification model according to the trained videos, and predicting to obtain a test video attribute vector; and using the trained videos to learn and obtain classification models of different actions, and predicting the action type of test videos. The method neither needs to track a human body nor performs attitude estimation, thereby enabling group behavior identification to become simple and practical, and an identification effect is good at the same time, and thus the method has important application in video monitoring.

The invention discloses a teaching video learning method as well as a system. The method comprises the following steps: when a teaching video is played, a background server acquires information markedby a user; according to the marked information, intercepting a corresponding video clip; and after playing of the teaching video is finished, locating the intercepted teaching video clip according tothe input information marked by the user, and performing playback on the intercepted teaching video clip. The method disclosed by the invention has the advantages that marking is performed on playedvideo information, a marked video is stored in the background server or a cloud server, retrieval is performed according to needs of the user, and then the playback is performed again, so that the problems that the whole video is viewed for multiple times and time is consumed for finding key information in the prior art are solved, and learning efficiency is further improved.

An individuation video learning system and method are applied to an electronic device or a network platform. First, individual teaching videos are made to set up a video database comprising a first storage unit used for storing individual videos of first learning and teaching and a second storage unit used for storing individual videos of non-first learning and teaching. The first storage unit and the second storage unit both comprise A level videos, B level videos and C level videos at least. For one teaching content, teaching models of individual teaching videos are different, sorts of teachers chosen are different, and teaching design made according to characteristics of personality of students is different. Next, a student judges whether the teaching content is learned by the student for the first time. At last, the student chooses individual teaching videos appropriate for the student according to the individual characteristics such as the learning condition, the learning level, the learning feature, the personality, and the interest of the student. The individuation video learning system and the method enable the students to choose the individual teaching videos according to the individual characteristics of the students to achieve the effect of individuation video learning.

The invention discloses a video playing method and device, terminal equipment and a computer readable storage medium, and relates to the field of video playing. The video playing method comprises thefollowing steps: receiving a video playing instruction; obtaining video information and text information corresponding to the video playing instruction; playing the video information in the first display area, and playing the text information in the second display area; and when a text page operation instruction is received, playing content corresponding to the text page operation instruction in the text information in a second display area. According to the invention, video information and text information are played on one terminal device at the same time; When a user only needs to check thecharacter information, the user can directly look up the character information through the operation of controlling the character information without influencing the playing of course contents in thevideo information, so that the video learning efficiency is greatly improved on the premise that the normal video learning is not influenced.

The invention discloses a management system of a real classroom and a manufacturing method thereof. According to the system, a projection device is used to project courseware image onto a pure color background. A control device is used to emit a control command to a courseware and control information is formed. Drawing track information of sketching, rubbing and writing on the courseware by a teacher in teaching is collected and compiled in real time through an interactive device. The class audio information of the teacher is collected and compiled in real time through a pickup device. Through a camera, pictures that the teacher teaches in coordination with the courseware projected on project cloth in front of the pure color background is compiled into class video information. Generated information is subjected to collection and image matting processing through a server device, combined with courseware information, the synchronous marking and storage in the time are carried out, and completed real classroom information is formed through synthesis. The system can display content more clearly and vividly, a user can feel the atmosphere of the on-site teaching, the effect of video learning is improved, thus the pictures are more hierarchical and more vivid, and more information can be displayed than actual class.

The invention discloses a teaching video display method, a device and a system, and the method comprises the steps: collecting the teaching video and voice of a teacher in a classroom, and forming teaching image data and audio data; recognizing the teacher teaching voice content, the student questioning voice content and the teacher answering voice content, and separating to form independent multi-track teaching audio data; obtaining teaching audio-visual data; generating a teaching display video, and uploading the teaching display video to a teaching platform; and selecting one teaching display video for playing to realize classroom reproduction by the process that students communicate with a platform through a student terminal. The invention provides a perfect teaching video learning method, combines an Internet teaching platform, gives play to the advantages of Internet teaching, integrates the advantages of offline and online learning, and facilitates the remarkable improvement ofstudent scores.

The invention discloses an automatic video learning effect testing method based on subtitles. The method comprises the steps of (1) playing a learning video; (2) setting parameters with a learning control unit; (3) selecting n subtitles from corresponding subtitle files in the video in the time period between t1 and t2 by means of a random function to serve as test answers, and selecting m subtitles from corresponding subtitle files in the video in other time periods to serve as confusion answers to form test questions; (4) conducting test through a subtitle test question generating unit, wherein video playing is suspended when the video is played to the t2 moment, and the test questions are displayed on the screen for a learner to answer; (5) processing the test result through a feedback control unit, continuing to conduct video learning of the next stage and repeating the steps (3) to (5) if the learner finishes the test questions, and processing the test result with a failure processing program by regarding the result as a failure if the learner does not finish the test questions, replaying the video sections from t1 moment to t2 moment under the default setting of the failure processing program and repeating the steps (3) to (5). According to the method, questions are automatically generated according to the subtitles appearing in the video for the learner to answer, and it shows that the learning effect meets the requirements if the answers are correct.

The invention discloses a personalized video learning system and method. The system comprises a judging module which allows a student to judge whether to firstly learn a course in a video according tohis or her previous learning experiences, a first level test module which provides comprehensive test questions according to previous courses to determine the current learning level of the student, asecond level test module which determines the current learning level according to the usual performance of the student, a selection module which comprises a teaching level selection module, a teaching mode selection module, a teacher selection module and a teaching design selection module, a storage module which comprises a first storage unit which stores videos within a first video level range and a second storage unit which stores videos within a second video level range, and a post-test module. The student can choose the most suitable teaching mode, teacher and teaching design according tohis or her interests, hobbies and learning habits and characteristics. Through personalized teaching, the learning efficiency is improved.

The invention is suitable for the technical field of computers, and provides a test question pushing method and system for an associated video. The method comprises the following steps that: according to attribute information, labelling video information for video data, and labelling test question attribute information for a test question, wherein the attribute information comprises grades, subjects, versions and chapters; according to the video attribute information and the test question attribute information, forming a mapping relationship for the video data and the test question; extracting the video attribute information of the video data which is played by a user at present, and matching the corresponding test question according to the mapping relationship; and according to a preset pushing rule, pushing the corresponding test question to the user. By use of the method, the video data can be associated with the test question, the assorted test question can be pushed according to the video attribute information of the video data for the user to carry out a targeted consolidation exercise, and a test question exercise mechanism is established for on-line video learning so as to assist the user in enhancing data understanding and application.

The embodiment of the invention discloses a learning video subtitle adding method and device, terminal equipment and a storage medium, and the method comprises the steps: extracting each target to-be-processed video segment, which comprises an audio signal, in a to-be-processed video, and each target to-be-processed video segment comprises first timestamp information; for each target to-be-processed video clip, identifying each audio signal in the current target to-be-processed clip as a target text, and combining each target text in combination with second timestamp information of each audiosignal to obtain each target video clip with subtitles; and displaying the target video clips with the subtitles according to the corresponding first timestamp information. The subtitle adding speed and accuracy are improved, the subtitle adding method is applied to the online learning video, the advantages of online video learning are brought into full play, students better follow the teaching progress of teachers by watching the subtitles corresponding to the learning video, and the understanding ability and learning efficiency of the students are improved.

The invention relates to a safe swimming trainer which comprises a waterproof mask. Transparent lenses are arranged on an eye portion of the waterproof mask, a head-wearing displayer is arranged on the outer side of each transparent lens, a hollow-type mouthpiece is arranged on a mouth portion of the waterproof mask, an air inlet and an air outlet are arranged on the mouthpiece and connected with an air incoming pipe and an air outgoing pipe respectively, the air outgoing pipe is connected to the upper portion of the side face of the waterproof mask, the other end of the air incoming pipe is connected with an air pressure ball, a hemispherical bottom shell is arranged in the pressure ball and provided with a storage battery and an electric air suction pump, and an air suction port of the electric air suction pump is positioned outside the pressure ball. The safe swimming trainer is simple to operate and convenient to use, and a breathing system is combined with the head-wearing displayer, so that a swimming learner can practice swimming underwater while performing video learning, training effect is improved, and signals can be sent out timely for help when dangerous circumstances occur. The safe swimming trainer has the advantages of good training effect, high safety and the like and is suitable for the swimming learner to practice swimming in water areas small in depth.

The invention discloses a video learning effect evaluation method based on artificial intelligence, and particularly relates to the field of digital learning, and the method comprises the steps: comprehensive testing before learning, wrong question arrangement, video adjustment, information recording playing, in-class testing, judgment model building, score judgment, and single-person learning result model building. According to the invention, process records of all users are collected and include data such as online visual evaluation watching time and playback times, after-learning test difficulty question answering accuracy and answering time, and the like, and the data are used as training data sources after a new teaching video is online, whether the teaching video is appropriate or not is predicted through the collected user data by taking the ability result of the user after the test as the classification basis, so that whether the video has the effect of improving the learning effect or not is evaluated.

The invention relates to a video learning and monitoring system. The video learning and monitoring system is characterized by comprising a monitoring end and a learning end, the monitoring end includes a monitoring background module, a video marking module, a password setting module and a timing setting module, wherein the monitoring background module is correlated with a monitoring front end module arranged on the learning end, the video marking module is correlated with a vide correlation module arranged on the learning end, the password setting module is correlated with a password executionmodule arranged on the learning end, the timing setting module is correlated with a timing execution module arranged on the learning end, the monitoring background module comprises a warning unit correlated with the monitoring front end module, and the password execution module comprises a password recognition unit and a password judgment unit. The video learning and monitoring system has the advantages that a video is marked in a segmentation mode, passwords are input when a video is watched, a distraction timing alarm reminds monitoring to prevent watching distraction of the video, and thevideo learning and monitoring system can be widely applied to the technical field of playing control.

A digital language teaching system is disclosed, in which through an audio control manner, the learner, by utilizing a learning sub-machine, can focus on listening and speaking practice under a simple hardware control and operation, so that the teaching staff and the learner can have a more direct and faster interaction for improving learning efficiency. Moreover, through the output devices of the video device and teaching providing the learner the teaching image and the interactive teaching pictures, the video learning manner can be provided to the learner through the supplemental multimedia teaching materials, so that the teaching staff can teach the learners in accordance with their aptitudes, and the learner can find the most suitable learning method.

The invention provides a system and a method for students' autonomous learning. By setting a learning module and adopting a video learning, audio learning and text learning mode, the learning mode isdiversified, the learning form is avoided to be single, the learning is more interesting, and the learning enthusiasm and the learning effect of users are improved. By setting up the exercise module,we can consolidate the learning content by video shooting, reading aloud, painting and writing exercises, deepen the learning memory, so as to increase the students' learning enthusiasm and improve the learning efficiency; By setting up a sharing interaction module, the learning achievement can be shared with other students and other students can be encouraged to learn. At the same time, studentscan choose the challenging items in video shooting, reading aloud, painting and writing exercises to challenge, stimulate students' learning desire, realize the competition among students, and encourage them to learn together. The whole device can record students' learning records, improve learning efficiency and stimulate students' learning enthusiasm.

The invention discloses a mother-and-baby all-life-cycle health medical service system based on artificial intelligence. The mother-and-baby all-life-cycle health medical service system comprises a data acquisition system, a data management system and a data exchange system. The data acquisition system is used for acquiring examination reports for the all life cycles of a large number of mothers and babies, diagnosis results which correspond with the examination reports and corresponding treatment plans. The data management system learns the data which are acquired by the data acquisition system through a neural network for obtaining a diagnosis model. The diagnosis module is used for obtaining an accurate diagnosis result and the corresponding treatment plan according to the input examination report. The data exchange system is used for inputting the examination report by the user for obtaining the diagnosis result and the corresponding treatment plan, and further is used for online transaction of mother-and-baby medical products. The service system of the invention can supply a health diagnosis service, an online mother-and-baby product purchasing service, a video learning platform and a community communication platform for the pregnant women.

The invention discloses a computer aided education system and method. The system comprises a classroom teaching subsystem, an after-class teaching subsystem and a central processing unit; the classroom teaching subsystem comprises a sign-up module, a roll call module, an interactive recording module and a video collection module; the after-class teaching subsystem comprises a free application module, an authorization code acquisition module, a video learning module, a payment learning module and a courseware sharing module. The system conducts recording on students who sign up for the class bychecking class attendance, the student who signs up for the class but does not attend the class can conduct classroom teaching video free learning application after class through the personal information from enrollment, the personal information of the student who initiates the classroom teaching video free learning application is matched with the personal information of the student who is absentfrom the class, when the matching is successful, and an authorization code is sent to a mobile phone of the student who initiates the classroom teaching video free learning application, so that a free classroom teaching video learning opportunity can be provided for the student who signs up for the class but dose not attend the class.

The invention discloses an interactive learning method and system based on an Android WeChat platform, and the method comprises the steps: enabling a student user side to receive login information input by a student, and sending a login request to the learning platform; enabling the learning platform to verify whether the login information is correct or not; if yes, judging that login is successful, and displaying a teaching video, teacher-student interaction and background management function unit on a home page interface; enabling the student user side to receive teaching videos input by students or teacher-student interaction function unit selection signals and send an access request to the learning platform; and enabling the learning platform to respond to the access request and display a recommended video bar and a video watching bar on a teaching video learning interface or display an interactive question and answer window on a teacher-student interactive learning interface. According to the invention, students can obtain learning resources more effectively in the online learning process, interactive learning with teachers is realized, and the learning efficiency is improved.

The invention provides an English intelligent teaching system which comprises a user terminal, a teaching resource module, a video learning module, an exercise training module, an intelligent analysis module, a mistakes library module, an intelligent search module and a teacher-student interaction module. Through the various modules of the system, students can independently complete the complete learning process from teaching video learning, online exam exercise training, intelligent scoring, establishing mistakeslibrary andmistakesintensive training to independent intelligent search knowledge points. Based on the system, teacher-student interaction, remote online teaching and question answering can further be realized. The English intelligent teaching system can reasonably allocate teaching resources, and a complete process of inputting English learning knowledge points into online examination training and then strengthening grasped knowledge points isformed, so that the learning efficiency of the students isimproved.

The invention discloses a smart classroom video learning point sharing method, which is characterized in that a teacher can freely mark an important fragment and generate a label at a teacher end, and a student end automatically positions the fragment to play by selecting the label during playing. According to the invention, a teacher can customize video learning key points, difficult points, examination points and the like, so that students can grasp the key points to learn repeatedly or quickly locate the learning key points, the inconvenience caused by frequent dragging and playback by a user is avoided, and the students can customize the learning key points considered by themselves to facilitate subsequent learning and replay. In addition, the positioning and playing of the marked fragment are realized by using the label data, and the video fragment does not need to be additionally intercepted, so that the storage space of the equipment is effectively saved.

The invention provides a posture processing method and device, a storage medium and an electronic device, and the method comprises the steps: obtaining the posture of a target object and a timestamp corresponding to the posture in a process that a target video is played; determining the similarity between a standard posture corresponding to the timestamp stored in a target server and the posture,wherein the standard posture comprises a posture extracted from the target video according to a preset rule; and determining a response strategy to the posture according to the similarity. The problemthat in the prior art, whether the target object is standard or not cannot be judged by referring to the posture of the target video is solved, the posture learning accuracy of the target object in the target video is ensured, the protection of the target object is improved, and the target video learning experience of the target object is improved.

The invention provides a kindergarten morning inspection medical care integrated machine, which belongs to the field of health inspection in kindergarten. The integrated machine comprises an integrated machine main body, and the integrated machine main body integrates the tools and equipment required for the morning inspection and medical treatment to a portable and easy-to-use multifunctional platform. The integrated machine can be used as a child's morning inspection bed when a combination state is closed; the kindergarten morning inspection process can collect all aspects including the child's height, weight, identity, heart rate, pulse, body temperature and illness; the collected information can be uploaded to a cloud or a local server; the school and the teacher can query the morninginspection results and print the report through a display device or a smart terminal APP; Parents can use the smart terminal APP to query the data sent back by the morning inspection machine in real time and view the nursing advice for the patient; and the integrated machine integrates the common disease inspection and nursing knowledge video learning materials of the kindergarten. A height measuring rod adopts a rotating integrated design, and a weight scale is arranged in a sliding groove at the bottom of an accommodating groove in a sliding mode for convenient use and placement.

The embodiment of the invention provides a video playing method and electronic equipment. The method is applied to the electronic equipment, the electronic equipment at least comprises a first displayscreen and a second display screen, and the method comprises the following steps: under the condition that a first video is played in the first display screen of the electronic equipment, obtaining afirst video frame comprising a first action in the first video; and displaying the first video frames in the second display screen of the electronic equipment, and displaying action parameter information of a first sub-action corresponding to each first video frame. According to the embodiment of the invention, the operation complexity of the user in the imitation learning process is reduced, thelearning efficiency is improved, the user can quickly master the action essentials of the first action based on the first video frame, and the learning effect is improved. According to the embodimentof the invention, the problem that in the prior art, the user operation is relatively tedious in the process of learning dance or other limb actions through a short video is solved.

The invention provides a robot behavior teaching method based on meta-learning. The robot behavior teaching method is characterized by comprising the steps: acquiring a teaching video; and learning the teaching video by using the trained neural network model. The training process of the neural network model comprises the following steps: collecting training content; preprocessing the training content to obtain a preprocessed comparison video, a preprocessed teaching video and a preprocessed motion video; constructing an initial neural network model; taking the preprocessed teaching video as aninput, obtaining a demonstration action, and calculating the loss of the demonstration action; updating the initial neural network model according to the demonstration action loss to obtain an updated model; taking the preprocessed motion video and the track action as input to obtain a predicted track action, demonstrating semantics, motion semantics and comparison semantics, and calculating target action loss and semantic loss so as to construct total loss; updating the updated model based on the total loss; and until the total loss is stably converged to a total loss threshold, obtaining atrained neural network model.