CN113259756A - Online course recording method and system - Google Patents
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- CN113259756A CN113259756A CN202110712041.3A CN202110712041A CN113259756A CN 113259756 A CN113259756 A CN 113259756A CN 202110712041 A CN202110712041 A CN 202110712041A CN 113259756 A CN113259756 A CN 113259756A
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- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000001454 recorded image Methods 0.000 claims abstract description 37
- 238000012216 screening Methods 0.000 claims description 16
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 230000003139 buffering effect Effects 0.000 description 5
- 238000000605 extraction Methods 0.000 description 3
- 230000002452 interceptive effect Effects 0.000 description 3
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/433—Content storage operation, e.g. storage operation in response to a pause request, caching operations
- H04N21/4334—Recording operations
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
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- Television Signal Processing For Recording (AREA)
Abstract
The invention provides a method and a system for recording online courses, which screen out recorded images conforming to online course rules and output the recorded images by comparing the sizes of audio, subtitles and images of recorded videos. According to the characteristics of the online course, the method screens out the buffer video without audio, the advertisement information with obvious non-correspondence between the playing image and the caption file or between the caption file and the audio or other invalid images with the non-correspondence, improves the purity of the recorded online course of the student, and saves the time for the student to watch the recorded online course.
Description
Technical Field
The invention relates to the technical field of network teaching, in particular to a method and a system for recording online courses.
Background
With the epidemic situation in 2020, online lectures are increasingly applied to the field of education and teaching, and are widely available from various training courses to campuses at various stages. The existing online lessons are played by multimedia contents through a browser. On-line courses generally record all video playing contents in the recording process due to timeliness of the on-line courses, for example, patent CN109168076B discloses a recording method of the on-line courses, which records the on-line courses through a browser, but in the recording process, all contents are recorded when a web buffer or a pop-up advertisement is encountered, and a student needs to watch the invalid information again when the on-line courses are repeatedly played at a later stage, which wastes time of the student.
Therefore, screening out the entered network buffer, advertisement information or other invalid information for the students to screen and delete in the process of recording the online courses is a problem to be solved by the current course recording software urgently.
Disclosure of Invention
In order to solve the above problems, the present invention provides a method and a system for recording online courses, which screen out the output of the recorded images conforming to the rules of the online courses by comparing the sizes of audio, subtitles and images of the recorded videos, and screen out the network buffer, advertisement information or other invalid information which are potentially not conforming to the rules of the online courses, wherein the method comprises the following steps:
recording the web course information, and selecting a recording area for recording when the online course starts to play, wherein the recording area comprises a subtitle area;
converting the caption characters, acquiring the caption image information of the caption area, converting the caption image information into character information and recording the appearance and end time of the caption;
recording image content, recording the size of each frame of image of the recorded image in the recording area, and recording the recording time of the recorded image;
establishing an image reference, continuously acquiring recorded image information within N seconds (N is more than or equal to 5) to form a reference image set when recording is started, and establishing a reference range of a recorded image according to the reference image set;
primarily screening images, namely judging whether the subsequently recorded images are in a reference range, marking the screened recorded images which are not in the image range as images to be screened, storing the images to be screened into a temporary database, and screening the recorded images in the image range and storing the images into a recording database;
audio frequency comparison, namely extracting the image to be screened and audio frequency information of the image in each preset time range before and after the image, converting the audio frequency information into a text, comparing the text with corresponding subtitle characters in the audio frequency information time period, if the coincidence rate of the text and the text in the subtitle characters is not less than 90%, restoring the image to be screened to a recording database, and if the coincidence rate of the text and the text in the subtitle characters is less than 90%, taking the image as an invalid image and putting the image into an invalid database;
and after the recording is finished, outputting the recorded database as a recorded video.
Further, the method for establishing the image reference comprises the step of establishing an image size reference range, and the steps comprise: and comparing the size of each recorded image in the reference image set, selecting a maximum value P1 and a minimum value P2, calculating a difference value K between P1 and P2, taking P1+ K as an image reference maximum range and P2-K as an image reference minimum range, and if P2-K is less than 0, acquiring the reference image set again and calculating.
Further, the method for establishing the image reference includes establishing an image change reference range, and the step of establishing the image change reference range includes: and comparing the size of each recorded image in the reference image set, selecting two images P3 and P4 with the minimum image size difference, calculating the difference L of P3 and P4, and taking L/2 as the minimum image reference change range.
Further, the image prescreening step comprises: calculating the image size P of the Mth (M > N) framemWhether P2-K is less than or equal to PmP1+ K and | Pm-Pm-1If the image is not less than L/2, putting the image into a recording database; if not, the image is put into a temporary database.
Further, in the audio comparison step, the extraction time range of the audio information is 3 seconds before and after the image to be screened.
Further, the step of recording the network course information further comprises the steps of acquiring an online course frame rate, and recording according to the online course frame rate during recording.
The invention also discloses an online course recording system, which comprises:
the acquisition module is used for recording online video content and acquiring subtitle images in the video;
the caption converting module is used for converting the caption image into character information and marking the time information of the character information;
the processing module is used for acquiring a reference image and establishing a reference range of the recorded image;
the screening module is used for screening out the temporary database and the recording database;
the audio conversion module is used for extracting the audio information and converting the audio information into a text;
the comparison module is used for comparing whether the text corresponding to the audio information is consistent with the character information of the subtitles at the time interval or not, and establishing an invalid database and updating a recording database according to the comparison result;
and the output module outputs the recorded video of the recording database.
The system also comprises a frame rate acquisition module which is used for acquiring the playing frame rate of the online video, and the frame rate acquisition module is respectively connected with the acquisition module and the processing module.
The system also comprises a storage module which is connected with the processing module and is used for storing the image size reference range value and the image change reference range value.
The system also comprises an intercepting module, wherein the intercepting module is used for intercepting the images to be screened and the audio information in the range of 3 seconds before and after the images.
According to the characteristics of the online course, the method screens out the buffer video without audio, the advertisement information with obvious non-correspondence between the playing image and the caption file or between the caption file and the audio or other invalid images with the non-correspondence, improves the purity of the recorded online course of the student, and saves the time for the student to watch the recorded online course repeatedly.
Drawings
FIG. 1 is a schematic flow diagram of one embodiment of the process of the present invention;
FIG. 2 is a block diagram of an embodiment of the system of the present invention.
Detailed Description
The present application is further described below with reference to the accompanying drawings.
The technical solutions of the present application will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the description of the present application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present application. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art.
The invention provides a method and a system for recording online courses. Referring to FIG. 1, one embodiment of the method of the present invention. The method comprises the following steps:
recording the web course information, and selecting a recording area for recording when the online course starts to play, wherein the recording area comprises a subtitle area;
converting the caption characters, acquiring the caption image information of the caption area, converting the caption image information into character information and recording the appearance and end time of the caption;
recording image content, recording the size of each frame of image of the recorded image in the recording area, and recording the recording time of the recorded image;
establishing an image reference, continuously acquiring recorded image information within N seconds (N is more than or equal to 5) to form a reference image set when recording is started, and establishing a reference range of a recorded image according to the reference image set;
primarily screening images, namely judging whether the subsequently recorded images are in a reference range, marking the screened recorded images which are not in the image range as images to be screened, storing the images to be screened into a temporary database, and screening the recorded images in the image range and storing the images into a recording database;
audio frequency comparison, namely extracting the image to be screened and audio frequency information of the image in each preset time range before and after the image, converting the audio frequency information into a text, comparing the text with corresponding subtitle characters in the audio frequency information time period, if the coincidence rate of the text and the text in the subtitle characters is not less than 90%, restoring the image to be screened to a recording database, and if the coincidence rate of the text and the text in the subtitle characters is less than 90%, taking the image as an invalid image and putting the image into an invalid database; and after the recording is finished, outputting the recorded database as a recorded video. The invention is made by screening out advertisement and buffering garbage information in the course of recording the online course. The method comprises the steps of processing and screening subtitle information, audio information and the size of each frame of image in the online video playing process. In the embodiment, each frame of recorded image is collected, and meanwhile, the image embedded subtitles in the video are extracted by using an image recognition technology, so that the text information of the subtitles is extracted. The existing subtitle extraction technology is relatively mature and low in technical difficulty.
At present, several kinds of common invalid information frequently appearing in a web lesson, such as video buffering, wherein a video picture is blocked or a buffering picture is displayed, the image is a single image, and meanwhile, audio and subtitles are not matched; inserting advertisements, wherein the sizes of the advertisement pictures and the online course pictures are obviously different, and the advertisement pictures generally do not have subtitles; in the interactive suspension link in the online course, under the conditions of no caption or mismatch between the caption and the interactive audio, and the like, the existing recording software cannot recognize the caption or record the caption and the interactive audio integrally. According to the invention, aiming at the situations, the sizes of the recorded images are compared, whether the recorded images are within a normal threshold value or not is judged, the corresponding audio characters are compared with the images which are not within the normal threshold value, if the audio characters are not corresponding to the subtitles, the images are judged to be invalid information and are excluded from the recorded video.
The invention completely processes from the recording background according to the characteristics of the online video without pause and shielding, does not influence the students to listen to classes, purifies the recorded learning video, deletes invalid information and saves the video replay time.
The method for establishing the image reference comprises the steps of establishing an image size reference range, wherein the steps comprise: and comparing the size of each recorded image in the reference image set, selecting a maximum value P1 and a minimum value P2, calculating a difference value K between P1 and P2, taking P1+ K as an image reference maximum range and P2-K as an image reference minimum range, and if P2-K is less than 0, acquiring the reference image set again and calculating. In the invention, the image references are respectively and correspondingly established according to different formats of the online videos, the background, the blackboard, the brightness and the like of the online courses generally do not change greatly, and the difference values of the sizes of all the images do not float too much in the same video, so that the embodiment judges whether the connection of the images in the video is normal or not and whether the non-online courses are mixed or not by judging the sizes of the images. In the process of collecting the image set, if an image with a large difference appears, such as the condition that P2-K is less than 0, the P1 and P2 images have problems, so the reference image set is collected again for calculation.
The method for establishing the image reference comprises the steps of establishing an image change reference range, wherein the step of establishing the image change reference range comprises the following steps: and comparing the size of each recorded image in the reference image set, selecting two images P3 and P4 with the minimum image size difference, calculating the difference L of P3 and P4, and taking L/2 as the minimum image reference change range. The present embodiment is mainly used to identify the condition of video buffering, in the condition of video buffering, a picture is generally a still picture, and there is almost no difference in the sizes of the front and back pictures at this time, so whether the picture to be determined is a still picture is determined by comparing the size difference between the picture to be determined and the previous picture.
The image preliminary screening step comprises: calculating the image size P of the Mth (M > N) framemWhether P2-K is less than or equal to PmP1+ K and | Pm-Pm-1If the image is not less than L/2, putting the image into a recording database; if not, the image is put into a temporary database.
In the audio comparison step, the extraction time range of the audio information is 3 seconds before and after the image to be screened. In this embodiment, since the speed of speech of people is generally 120-. Because the caption file is displayed for a relatively long time, the caption text is more than the audio text, and especially when two words alternate, the caption text is much more than the audio text. Therefore, the invention adopts a comparison mode of all audio texts and texts in subtitles, the texts are regarded as the superposition of the texts as long as the texts in the subtitles have the characters consistent with the audio texts, and finally whether the superposition rate of the texts and the texts in the subtitles reaches 90 percent is calculated, namely 90 percent of the characters in the audio can be found in the subtitles texts.
And the step of recording the network course information also comprises the steps of acquiring an online course frame rate, and recording according to the online course frame rate during recording. Because the current display refresh rates are different and are 60HZ, 75HZ, 120HZ, 144HZ and the like, while the online course frame rate is generally 24HZ, 30HZ, 36HZ, 48HZ and the like, if the video is recorded according to the screen refresh rate, the invention possibly causes the error judgment of the image with high refresh rate as invalid information, therefore, the invention records the video frame number of the online course as the recording frame number in order to improve the accuracy of video recording.
Referring to fig. 2, the present invention also discloses an online course recording system, which comprises:
the acquisition module is used for recording online video content and acquiring subtitle images in the video; the caption converting module is used for converting the caption image into character information and marking the time information of the character information; the processing module is used for acquiring a reference image and establishing a reference range of the recorded image; the screening module is used for screening out the temporary database and the recording database; the audio conversion module is used for extracting the audio information and converting the audio information into a text; the comparison module is used for comparing whether the text corresponding to the audio information is consistent with the character information of the subtitles at the time interval or not, and establishing an invalid database and updating a recording database according to the comparison result; and the output module outputs the recorded video of the recording database.
The system of this embodiment may further include a frame rate acquisition module, configured to acquire a playing frame rate of the online video, where the frame rate acquisition module is connected to the acquisition module and the processing module, respectively.
The system of this embodiment may further include a storage module, connected to the processing module, for storing the image size reference range value and the image change reference range value.
The system of this embodiment may further include an intercepting module, where the intercepting module is configured to intercept the image to be screened and the audio information within 3 seconds before and after the image.
In addition, the method of the invention also establishes a time axis aiming at the online course playing time in the recording process, each frame of recorded image and invalid image respectively correspond to the time axis in the recording process, and the invalid image can be restored into the recorded video according to the time axis position when repeatedly playing.
The above description is only for the preferred embodiments of the present invention, but the protection scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention disclosed in the present invention should be covered within the protection scope of the present invention.
Claims (10)
1. A method for recording online courses is characterized by comprising the following steps:
recording the web course information, and selecting a recording area for recording when the online course starts to play, wherein the recording area comprises a subtitle area;
converting caption characters, acquiring caption image information of a caption area, converting the caption image information into character information and recording the appearance and ending time of the caption;
recording image content, recording the size of each frame of image of the recorded image in the recording area, and recording the recording time of the recorded image;
establishing an image reference, continuously acquiring recorded image information within N seconds (N is more than or equal to 5) to form a reference image set when recording is started, and establishing a reference range of a recorded image according to the reference image set;
primarily screening images, namely judging whether the subsequently recorded images are in a reference range, marking the screened recorded images which are not in the image range as images to be screened, storing the images to be screened into a temporary database, and screening the recorded images in the image range and storing the images into a recording database;
audio frequency comparison, namely extracting the image to be screened and audio frequency information of the image in each preset time range before and after the image, converting the audio frequency information into a text, comparing the text with corresponding subtitle characters in the audio frequency information time period, if the coincidence rate of the text and the text in the subtitle characters is not less than 90%, restoring the image to be screened to a recording database, and if the coincidence rate of the text and the text in the subtitle characters is less than 90%, taking the image as an invalid image and putting the image into an invalid database;
and after the recording is finished, outputting the recorded database as a recorded video.
2. The method as claimed in claim 1, wherein the image reference establishing method comprises establishing an image size reference range, and comprises the steps of: and comparing the size of each recorded image in the reference image set, selecting a maximum value P1 and a minimum value P2, calculating a difference value K between P1 and P2, taking P1+ K as an image reference maximum range and P2-K as an image reference minimum range, and if P2-K is less than 0, acquiring the reference image set again and calculating.
3. The method as claimed in claim 2, wherein the establishing of the image reference comprises establishing an image variation reference range, and the establishing of the image variation reference range comprises: and comparing the size of each recorded image in the reference image set, selecting two images P3 and P4 with the minimum image size difference, calculating the difference L of P3 and P4, and taking L/2 as the minimum image reference change range.
4. The method for recording an online lesson as claimed in claim 3, wherein said image prescreening step comprises: calculating the image size P of the Mth (M > N) framemWhether P2-K is less than or equal to PmP1+ K and | Pm-Pm-1If the image is not less than L/2, putting the image into a recording database; if not, the image is put into a temporary database.
5. The method as claimed in claim 1, wherein in the step of comparing the audio frequency, the time range of extracting the audio frequency information is 3 seconds before and after the image to be screened.
6. The method for recording online lessons according to claim 1, wherein the step of recording the online lesson information further comprises acquiring an online lesson frame rate, and recording according to the online lesson frame rate during recording.
7. A system for using the method of any of claims 1-6, the system comprising:
the acquisition module is used for recording online video content and acquiring subtitle images in the video;
the caption converting module is used for converting the caption image into character information and marking the time information of the character information;
the processing module is used for acquiring a reference image and establishing a reference range of the recorded image;
the screening module is used for screening out the temporary database and the recording database;
the audio conversion module is used for extracting the audio information and converting the audio information into a text;
the comparison module is used for comparing whether the text corresponding to the audio information is consistent with the character information of the subtitles at the time interval or not, and establishing an invalid database and updating a recording database according to the comparison result;
and the output module outputs the recorded video of the recording database.
8. The system of claim 7, further comprising a frame rate acquisition module, configured to acquire a frame rate of the online video, wherein the frame rate acquisition module is connected to the acquisition module and the processing module, respectively.
9. The system of claim 7, further comprising a storage module, connected to the processing module, for storing the image size reference range value and the image change reference range value.
10. The system of claim 7, further comprising an intercepting module, wherein the intercepting module is configured to intercept the audio information of the image to be filtered and the range of 3 seconds before and after the image.
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